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ORCIDZhi-Hua Zhou
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- affiliation: Nanjing University, State Key Laboratory for Novel Software Technology, China
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2020 – today
- 2024
[j214]Peng Zhao, Jia-Wei Shan, Yu-Jie Zhang, Zhi-Hua Zhou:
Exploratory machine learning with unknown unknowns. Artif. Intell. 327: 104059 (2024)- [j213]Zhi-Hua Zhou, Zhi-Hao Tan:
Learnware: small models do big. Sci. China Inf. Sci. 67(1) (2024) - [j212]Yi-Xiao He
, Dan-Xuan Liu, Shen-Huan Lyu, Chao Qian, Zhi-Hua Zhou:
Multi-class imbalance problem: A multi-objective solution. Inf. Sci. 680: 121156 (2024) - [j211]Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou:
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization. J. Mach. Learn. Res. 25: 98:1-98:52 (2024) - [j210]Shao-Qun Zhang, Jia-Yi Chen, Jin-Hui Wu, Gao Zhang, Huan Xiong, Bin Gu, Zhi-Hua Zhou:
On the Intrinsic Structures of Spiking Neural Networks. J. Mach. Learn. Res. 25: 194:1-194:74 (2024) - [j209]Peng Tan, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou:
Towards enabling learnware to handle heterogeneous feature spaces. Mach. Learn. 113(4): 1839-1860 (2024) - [j208]Yi-Xiao He, Yu-Chang Wu, Chao Qian, Zhi-Hua Zhou:
Margin distribution and structural diversity guided ensemble pruning. Mach. Learn. 113(6): 3545-3567 (2024) - [j207]Tian Qin, Long-Fei Li, Tian-Zuo Wang, Zhi-Hua Zhou:
Tracking treatment effect heterogeneity in evolving environments. Mach. Learn. 113(6): 3653-3673 (2024) - [j206]Zheng Xie, Yu Liu, Hao-Yuan He, Ming Li, Zhi-Hua Zhou:
Weakly Supervised AUC Optimization: A Unified Partial AUC Approach. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 4780-4795 (2024) - [j205]Yuyang Qian, Zhen-Yu Zhang, Peng Zhao, Zhi-Hua Zhou:
Learning with Asynchronous Labels. ACM Trans. Knowl. Discov. Data 18(8): 186:1-186:27 (2024) - [j204]Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou:
Theoretical Exploration of Flexible Transmitter Model. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3674-3688 (2024) - [c337]Yu-Cheng He, Yao-Xiang Ding, Han-Jia Ye, Zhi-Hua Zhou:
Learning Only When It Matters: Cost-Aware Long-Tailed Classification. AAAI 2024: 12411-12420 - [c336]Long-Fei Li, Peng Zhao, Zhi-Hua Zhou:
Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function Approximation. AAAI 2024: 13572-13580 - [c335]Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou:
Towards Making Learnware Specification and Market Evolvable. AAAI 2024: 13909-13917 - [c334]Xiaowen Yang, Jie-Jing Shao, Wei-Wei Tu, Yufeng Li, Wang-Zhou Dai, Zhi-Hua Zhou:
Safe Abductive Learning in the Presence of Inaccurate Rules. AAAI 2024: 16361-16369 - [c333]Long-Fei Li, Peng Zhao, Zhi-Hua Zhou:
Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition. AISTATS 2024: 3061-3069 - [c332]Chengxing Jia, Chenxiao Gao, Hao Yin, Fuxiang Zhang, Xiong-Hui Chen, Tian Xu, Lei Yuan, Zongzhang Zhang, Zhi-Hua Zhou, Yang Yu:
Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning. ICLR 2024 - [c331]Yuyang Qian, Peng Zhao, Yu-Jie Zhang, Masashi Sugiyama, Zhi-Hua Zhou:
Efficient Non-stationary Online Learning by Wavelets with Applications to Online Distribution Shift Adaptation. ICML 2024 - [c330]Tian-Zuo Wang, Wen-Bo Du, Zhi-Hua Zhou:
An Efficient Maximal Ancestral Graph Listing Algorithm. ICML 2024 - [c329]Jing Wang, Miao Yu, Peng Zhao, Zhi-Hua Zhou:
Learning with Adaptive Resource Allocation. ICML 2024 - [c328]Xiaowen Yang, Wenda Wei, Jie-Jing Shao, Yu-Feng Li, Zhi-Hua Zhou:
Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts. ICML 2024 - [c327]Lanjihong Ma, Zhen-Yu Zhang, Yao-Xiang Ding, Zhi-Hua Zhou:
Handling Varied Objectives by Online Decision Making. KDD 2024: 2130-2140 - [c326]Zhi-Hao Tan, Jian-Dong Liu, Xiao-Dong Bi, Peng Tan, Qin-Cheng Zheng, Hai-Tian Liu, Yi Xie, Xiao-Chuan Zou, Yang Yu, Zhi-Hua Zhou:
Beimingwu: A Learnware Dock System. KDD 2024: 5773-5782 - [i108]Zhi-Hao Tan, Jian-Dong Liu, Xiao-Dong Bi, Peng Tan, Qin-Cheng Zheng, Hai-Tian Liu, Yi Xie, Xiao-Chuan Zou, Yang Yu, Zhi-Hua Zhou:
Beimingwu: A Learnware Dock System. CoRR abs/2401.14427 (2024) - [i107]Long-Fei Li, Peng Zhao, Zhi-Hua Zhou:
Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition. CoRR abs/2403.04568 (2024) - [i106]Long-Fei Li, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou:
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation. CoRR abs/2405.17061 (2024) - [i105]Tian-Zuo Wang, Lue Tao, Zhi-Hua Zhou:
New Rules for Causal Identification with Background Knowledge. CoRR abs/2407.15259 (2024) - [i104]Yan-Feng Xie, Peng Zhao, Zhi-Hua Zhou:
Gradient-Variation Online Learning under Generalized Smoothness. CoRR abs/2408.09074 (2024) - 2023
- [j203]Tian-Zuo Wang, Tian Qin, Zhi-Hua Zhou:
Sound and complete causal identification with latent variables given local background knowledge. Artif. Intell. 322: 103964 (2023) - [j202]Peng Zhao, Yu-Hu Yan, Yu-Xiang Wang, Zhi-Hua Zhou:
Non-stationary Online Learning with Memory and Non-stochastic Control. J. Mach. Learn. Res. 24: 206:1-206:70 (2023) - [j201]Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou:
Online Non-stochastic Control with Partial Feedback. J. Mach. Learn. Res. 24: 273:1-273:50 (2023) - [j200]Xi-Zhu Wu, Wenkai Xu, Song Liu, Zhi-Hua Zhou:
Model Reuse With Reduced Kernel Mean Embedding Specification. IEEE Trans. Knowl. Data Eng. 35(1): 699-710 (2023) - [j199]Guangda Huzhang, Zhen-Jia Pang, Yongqing Gao, Yawen Liu, Weijie Shen, Wen-Ji Zhou, Qianying Lin, Qing Da, Anxiang Zeng, Han Yu, Yang Yu, Zhi-Hua Zhou:
AliExpress Learning-to-Rank: Maximizing Online Model Performance Without Going Online. IEEE Trans. Knowl. Data Eng. 35(2): 1214-1226 (2023) - [j198]Kai Ming Ting, Bi-Cun Xu, Takashi Washio, Zhi-Hua Zhou:
Isolation Distributional Kernel: A New Tool for Point and Group Anomaly Detections. IEEE Trans. Knowl. Data Eng. 35(3): 2697-2710 (2023) - [c325]Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou:
Enabling Knowledge Refinement upon New Concepts in Abductive Learning. AAAI 2023: 7928-7935 - [c324]Qin-Cheng Zheng, Shen-Huan Lyu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou:
On the Consistency Rate of Decision Tree Learning Algorithms. AISTATS 2023: 7824-7848 - [c323]Jing Wang, Peng Zhao, Zhi-Hua Zhou:
Revisiting Weighted Strategy for Non-stationary Parametric Bandits. AISTATS 2023: 7913-7942 - [c322]Jia-Wei Shan, Peng Zhao, Zhi-Hua Zhou:
Beyond Performative Prediction: Open-environment Learning with Presence of Corruptions. AISTATS 2023: 7981-7998 - [c321]Lei Yuan, Lihe Li, Ziqian Zhang, Feng Chen, Tianyi Zhang, Cong Guan, Yang Yu, Zhi-Hua Zhou:
Learning to Coordinate with Anyone. DAI 2023: 4:1-4:9 - [c320]Yi Xie, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou:
Identifying Helpful Learnwares Without Examining the Whole Market. ECAI 2023: 2752-2759 - [c319]Yuyang Qian, Yong Bai, Zhen-Yu Zhang, Peng Zhao, Zhi-Hua Zhou:
Handling New Class in Online Label Shift. ICDM 2023: 1283-1288 - [c318]Xin-Qiang Cai, Yao-Xiang Ding, Zi-Xuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou:
Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning. ICLR 2023 - [c317]Lan-Zhe Guo, Zhi Zhou, Yufeng Li, Zhi-Hua Zhou:
Identifying Useful Learnwares for Heterogeneous Label Spaces. ICML 2023: 12122-12131 - [c316]Tian-Zuo Wang, Tian Qin, Zhi-Hua Zhou:
Estimating Possible Causal Effects with Latent Variables via Adjustment. ICML 2023: 36308-36335 - [c315]Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou:
Fast Rates in Time-Varying Strongly Monotone Games. ICML 2023: 39138-39164 - [c314]Yu-Xuan Huang, Zequn Sun, Guangyao Li, Xiaobin Tian, Wang-Zhou Dai, Wei Hu, Yuan Jiang, Zhi-Hua Zhou:
Enabling Abductive Learning to Exploit Knowledge Graph. IJCAI 2023: 3839-3847 - [c313]Peng Tan, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou:
Handling Learnwares Developed from Heterogeneous Feature Spaces without Auxiliary Data. IJCAI 2023: 4235-4243 - [c312]Lijun Zhang, Peng Zhao, Zhen-Hua Zhuang, Tianbao Yang, Zhi-Hua Zhou:
Stochastic Approximation Approaches to Group Distributionally Robust Optimization. NeurIPS 2023 - [c311]Long-Fei Li, Peng Zhao, Zhi-Hua Zhou:
Dynamic Regret of Adversarial Linear Mixture MDPs. NeurIPS 2023 - [c310]Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou:
Rehearsal Learning for Avoiding Undesired Future. NeurIPS 2023 - [c309]Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou:
Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent. NeurIPS 2023 - [c308]Xinran Xie, Man-Jie Yuan, Xuetong Bai, Wei Gao, Zhi-Hua Zhou:
On the Gini-impurity Preservation For Privacy Random Forests. NeurIPS 2023 - [c307]Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou:
Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble Approach. NeurIPS 2023 - [c306]Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou:
Learning Causal Structure on Mixed Data with Tree-Structured Functional Models. SDM 2023: 613-621 - [e28]Shashi Shekhar, Zhi-Hua Zhou, Yao-Yi Chiang, Gregor Stiglic:
Proceedings of the 2023 SIAM International Conference on Data Mining, SDM 2023, Minneapolis-St. Paul Twin Cities, MN, USA, April 27-29, 2023. SIAM 2023, ISBN 978-1-61197-765-3 [contents] - [i103]Lijun Zhang, Peng Zhao, Tianbao Yang, Zhi-Hua Zhou:
Stochastic Approximation Approaches to Group Distributionally Robust Optimization. CoRR abs/2302.09267 (2023) - [i102]Jing Wang, Peng Zhao, Zhi-Hua Zhou:
Revisiting Weighted Strategy for Non-stationary Parametric Bandits. CoRR abs/2303.02691 (2023) - [i101]Zhi-Hua Zhou:
Stream Efficient Learning. CoRR abs/2305.02217 (2023) - [i100]Zheng Xie, Yu Liu, Hao-Yuan He, Ming Li, Zhi-Hua Zhou:
Weakly Supervised AUC Optimization: A Unified Partial AUC Approach. CoRR abs/2305.14258 (2023) - [i99]Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou:
Universal Online Learning with Gradual Variations: A Multi-layer Online Ensemble Approach. CoRR abs/2307.08360 (2023) - [i98]Peng Zhao, Yan-Feng Xie, Lijun Zhang, Zhi-Hua Zhou:
Efficient Methods for Non-stationary Online Learning. CoRR abs/2309.08911 (2023) - [i97]Lei Yuan, Lihe Li, Ziqian Zhang, Feng Chen, Tianyi Zhang, Cong Guan, Yang Yu, Zhi-Hua Zhou:
Learning to Coordinate with Anyone. CoRR abs/2309.12633 (2023) - 2022
- [j197]Chao Qian, Dan-Xuan Liu, Zhi-Hua Zhou:
Result diversification by multi-objective evolutionary algorithms with theoretical guarantees. Artif. Intell. 309: 103737 (2022) - [j196]Wei Gao, Fan Xu, Zhi-Hua Zhou:
Towards convergence rate analysis of random forests for classification. Artif. Intell. 313: 103788 (2022) - [j195]Zhi-Hua Zhou:
Rehearsal: learning from prediction to decision. Frontiers Comput. Sci. 16(1) (2022) - [j194]Shen-Huan Lyu, Lu Wang, Zhi-Hua Zhou:
Improving generalization of deep neural networks by leveraging margin distribution. Neural Networks 151: 48-60 (2022) - [j193]Shao-Qun Zhang, Wei Gao, Zhi-Hua Zhou:
Towards understanding theoretical advantages of complex-reaction networks. Neural Networks 151: 80-93 (2022) - [j192]Songtao Han, Haijun Man, Mei Wang, Zhi-Hua Zhou, Jianfeng Cao, Wei Gao, Lue Chen, Jinsong Ping:
Analysis and Demonstration of First Cross-Support Interferometry Tracking in China Mars Mission. Remote. Sens. 14(16): 4117 (2022) - [j191]Ming Pang, Kai Ming Ting, Peng Zhao, Zhi-Hua Zhou:
Improving Deep Forest by Screening. IEEE Trans. Knowl. Data Eng. 34(9): 4298-4312 (2022) - [j190]Zhen-Yu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou:
Learning From Incomplete and Inaccurate Supervision. IEEE Trans. Knowl. Data Eng. 34(12): 5854-5868 (2022) - [j189]Jun Wang, Zhi-Hua Zhou:
Margin Distribution Analysis. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3948-3960 (2022) - [j188]Bo-Jian Hou, Lijun Zhang, Zhi-Hua Zhou:
Prediction With Unpredictable Feature Evolution. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5706-5715 (2022) - [c305]Peng Zhao, Yu-Xiang Wang, Zhi-Hua Zhou:
Non-stationary Online Learning with Memory and Non-stochastic Control. AISTATS 2022: 2101-2133 - [c304]Zi-Xuan Chen, Xin-Qiang Cai, Yuan Jiang, Zhi-Hua Zhou:
Anomaly Guided Policy Learning from Imperfect Demonstrations. AAMAS 2022: 244-252 - [c303]Haipeng Luo, Mengxiao Zhang, Peng Zhao, Zhi-Hua Zhou:
Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits. COLT 2022: 3635-3684 - [c302]Jun-Qi Guo, Ming-Zhuo Teng, Wei Gao, Zhi-Hua Zhou:
Fast Provably Robust Decision Trees and Boosting. ICML 2022: 8127-8144 - [c301]Mengxiao Zhang, Peng Zhao, Haipeng Luo, Zhi-Hua Zhou:
No-Regret Learning in Time-Varying Zero-Sum Games. ICML 2022: 26772-26808 - [c300]Peng Zhao, Longfei Li, Zhi-Hua Zhou:
Dynamic Regret of Online Markov Decision Processes. ICML 2022: 26865-26894 - [c299]Zhen-Yu Zhang, Yuyang Qian, Yu-Jie Zhang, Yuan Jiang, Zhi-Hua Zhou:
Adaptive Learning for Weakly Labeled Streams. KDD 2022: 2556-2564 - [c298]Peng Zhao, Yan-Feng Xie, Lijun Zhang, Zhi-Hua Zhou:
Efficient Methods for Non-stationary Online Learning. NeurIPS 2022 - [c297]Yong Bai, Yu-Jie Zhang, Peng Zhao, Masashi Sugiyama, Zhi-Hua Zhou:
Adapting to Online Label Shift with Provable Guarantees. NeurIPS 2022 - [c296]Yao-Xiang Ding, Xi-Zhu Wu, Kun Zhou, Zhi-Hua Zhou:
Pre-Trained Model Reusability Evaluation for Small-Data Transfer Learning. NeurIPS 2022 - [c295]Shen-Huan Lyu, Yi-Xiao He, Zhi-Hua Zhou:
Depth is More Powerful than Width with Prediction Concatenation in Deep Forest. NeurIPS 2022 - [c294]Zhi-Hao Tan, Yi Xie, Yuan Jiang, Zhi-Hua Zhou:
Real-Valued Backpropagation is Unsuitable for Complex-Valued Neural Networks. NeurIPS 2022 - [c293]Tian-Zuo Wang, Tian Qin, Zhi-Hua Zhou:
Sound and Complete Causal Identification with Latent Variables Given Local Background Knowledge. NeurIPS 2022 - [c292]Shao-Qun Zhang, Zhi-Hua Zhou:
Theoretically Provable Spiking Neural Networks. NeurIPS 2022 - [c291]Yu-Chang Wu, Yi-Xiao He, Chao Qian, Zhi-Hua Zhou:
Multi-objective Evolutionary Ensemble Pruning Guided by Margin Distribution. PPSN (1) 2022: 427-441 - [e27]Arindam Banerjee, Zhi-Hua Zhou, Evangelos E. Papalexakis, Matteo Riondato:
Proceedings of the 2022 SIAM International Conference on Data Mining, SDM 2022, Alexandria, VA, USA, April 28-30, 2022. SIAM 2022, ISBN 978-1-61197-717-2 [contents] - [i96]Mengxiao Zhang, Peng Zhao, Haipeng Luo, Zhi-Hua Zhou:
No-Regret Learning in Time-Varying Zero-Sum Games. CoRR abs/2201.12736 (2022) - [i95]Haipeng Luo, Mengxiao Zhang, Peng Zhao, Zhi-Hua Zhou:
Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits. CoRR abs/2202.06151 (2022) - [i94]Zhi-Hua Zhou:
Open Environment Machine Learning. CoRR abs/2206.00423 (2022) - [i93]Yong Bai, Yu-Jie Zhang, Peng Zhao, Masashi Sugiyama, Zhi-Hua Zhou:
Adapting to Online Label Shift with Provable Guarantees. CoRR abs/2207.02121 (2022) - [i92]Peng Zhao, Longfei Li, Zhi-Hua Zhou:
Dynamic Regret of Online Markov Decision Processes. CoRR abs/2208.12483 (2022) - [i91]Zhi-Hua Zhou, Zhi-Hao Tan:
Learnware: Small Models Do Big. CoRR abs/2210.03647 (2022) - 2021
- [b2]Zhi-Hua Zhou:
Machine Learning. Springer 2021, ISBN 978-981-15-1966-6, pp. 1-459 - [j187]Wei Gao, Teng Zhang, Bin-Bin Yang, Zhi-Hua Zhou:
On the noise estimation statistics. Artif. Intell. 293: 103451 (2021) - [j186]Zhi-Hua Zhou:
Why over-parameterization of deep neural networks does not overfit? Sci. China Inf. Sci. 64(1) (2021) - [j185]Peng Zhao, Guanghui Wang, Lijun Zhang, Zhi-Hua Zhou:
Bandit Convex Optimization in Non-stationary Environments. J. Mach. Learn. Res. 22: 125:1-125:45 (2021) - [j184]Shao-Qun Zhang, Zhao-Yu Zhang, Zhi-Hua Zhou:
Bifurcation Spiking Neural Network. J. Mach. Learn. Res. 22: 253:1-253:21 (2021) - [j183]Shao-Qun Zhang, Zhi-Hua Zhou:
Flexible Transmitter Network. Neural Comput. 33(11): 2951-2970 (2021) - [j182]Yufeng Li, Lan-Zhe Guo, Zhi-Hua Zhou:
Towards Safe Weakly Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43(1): 334-346 (2021) - [j181]Han-Jia Ye, De-Chuan Zhan, Yuan Jiang, Zhi-Hua Zhou:
Heterogeneous Few-Shot Model Rectification With Semantic Mapping. IEEE Trans. Pattern Anal. Mach. Intell. 43(11): 3878-3891 (2021) - [j180]Peng Zhao, Xinqiang Wang, Siyu Xie, Lei Guo, Zhi-Hua Zhou:
Distribution-Free One-Pass Learning. IEEE Trans. Knowl. Data Eng. 33(3): 951-963 (2021) - [j179]Xiu-Shen Wei, Han-Jia Ye, Xin Mu, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou:
Multi-Instance Learning With Emerging Novel Class. IEEE Trans. Knowl. Data Eng. 33(5): 2109-2120 (2021) - [j178]Bo-Jian Hou, Lijun Zhang, Zhi-Hua Zhou:
Learning With Feature Evolvable Streams. IEEE Trans. Knowl. Data Eng. 33(6): 2602-2615 (2021) - [c290]Bo-Jian Hou, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou:
Storage Fit Learning with Feature Evolvable Streams. AAAI 2021: 7729-7736 - [c289]Yu-Jie Zhang, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou:
Towards Enabling Learnware to Handle Unseen Jobs. AAAI 2021: 10964-10972 - [c288]Peng Zhao, Yu-Jie Zhang, Zhi-Hua Zhou:
Exploratory Machine Learning with Unknown Unknowns. AAAI 2021: 10999-11006 - [c287]Xin-Qiang Cai, Yao-Xiang Ding, Yuan Jiang, Zhi-Hua Zhou:
Imitation Learning from Pixel-Level Demonstrations by HashReward. AAMAS 2021: 279-287 - [c286]Zhao-Yu Zhang, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou:
LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values. ICDM 2021: 1511-1516 - [c285]Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou:
Budgeted Heterogeneous Treatment Effect Estimation. ICML 2021: 8693-8702 - [c284]Jiachen Wang, Dazhen Deng, Xiao Xie, Xinhuan Shu, Yu-Xuan Huang, Le-Wen Cai, Hui Zhang, Min-Ling Zhang, Zhi-Hua Zhou, Yingcai Wu:
Tac-Valuer: Knowledge-based Stroke Evaluation in Table Tennis. KDD 2021: 3688-3696 - [c283]Tian-Zuo Wang, Zhi-Hua Zhou:
Actively Identifying Causal Effects with Latent Variables Given Only Response Variable Observable. NeurIPS 2021: 15007-15018 - [c282]Lijun Zhang, Guanghui Wang, Wei-Wei Tu, Wei Jiang, Zhi-Hua Zhou:
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions. NeurIPS 2021: 24968-24980 - [c281]Yi-Xuan Xu, Ming Pang, Ji Feng, Kai Ming Ting, Yuan Jiang, Zhi-Hua Zhou:
Reconstruction-based Anomaly Detection with Completely Random Forest. SDM 2021: 127-135 - [p2]Zhi-Hua Zhou, Yu-Xuan Huang:
Abductive Learning. Neuro-Symbolic Artificial Intelligence 2021: 353-369 - [e26]Zhi-Hua Zhou:
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual Event / Montreal, Canada, 19-27 August 2021. ijcai.org 2021, ISBN 978-0-9992411-9-6 [contents] - [i90]Peng Zhao, Yu-Xiang Wang, Zhi-Hua Zhou:
Non-stationary Online Learning with Memory and Non-stochastic Control. CoRR abs/2102.03758 (2021) - [i89]Zhu Li, Zhi-Hua Zhou, Arthur Gretton:
Towards an Understanding of Benign Overfitting in Neural Networks. CoRR abs/2106.03212 (2021) - [i88]Xin-Qiang Cai, Yao-Xiang Ding, Zi-Xuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou:
Seeing Differently, Acting Similarly: Imitation Learning with Heterogeneous Observations. CoRR abs/2106.09256 (2021) - [i87]Shao-Qun Zhang, Gao Wei, Zhi-Hua Zhou:
Towards Understanding Theoretical Advantages of Complex-Reaction Networks. CoRR abs/2108.06711 (2021) - [i86]Zhao-Yu Zhang, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou:
LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values. CoRR abs/2109.14844 (2021) - [i85]Chao Qian, Dan-Xuan Liu, Zhi-Hua Zhou:
Result Diversification by Multi-objective Evolutionary Algorithms with Theoretical Guarantees. CoRR abs/2110.09332 (2021) - [i84]Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou:
Towards Theoretical Understanding of Flexible Transmitter Networks via Approximation and Local Minima. CoRR abs/2111.06027 (2021) - [i83]Shao-Qun Zhang, Zhi-Hua Zhou:
ARISE: ApeRIodic SEmi-parametric Process for Efficient Markets without Periodogram and Gaussianity Assumptions. CoRR abs/2111.06222 (2021) - [i82]Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou:
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization. CoRR abs/2112.14368 (2021) - 2020
- [j177]Peng Zhao, Le-Wen Cai, Zhi-Hua Zhou:
Handling concept drift via model reuse. Mach. Learn. 109(3): 533-568 (2020) - [j176]Zhi-Hao Tan, Peng Tan, Yuan Jiang, Zhi-Hua Zhou:
Multi-label optimal margin distribution machine. Mach. Learn. 109(3): 623-642 (2020) - [j175]Teng Zhang, Zhi-Hua Zhou:
Optimal Margin Distribution Machine. IEEE Trans. Knowl. Data Eng. 32(6): 1143-1156 (2020) - [j174]Miao Xu, Yufeng Li, Zhi-Hua Zhou:
Robust Multi-Label Learning with PRO Loss. IEEE Trans. Knowl. Data Eng. 32(8): 1610-1624 (2020) - [j173]Bo-Jian Hou, Zhi-Hua Zhou:
Learning With Interpretable Structure From Gated RNN. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2267-2279 (2020) - [c280]Xuan Huo, Ming Li, Zhi-Hua Zhou:
Control Flow Graph Embedding Based on Multi-Instance Decomposition for Bug Localization. AAAI 2020: 4223-4230 - [c279]Jun Wang, Zhi-Hua Zhou:
Differentially Private Learning with Small Public Data. AAAI 2020: 6219-6226 - [c278]Yao-Xiang Ding, Zhi-Hua Zhou:
Boosting-Based Reliable Model Reuse. ACML 2020: 145-160 - [c277]Peng Zhao, Lijun Zhang, Yuan Jiang, Zhi-Hua Zhou:
A Simple Approach for Non-stationary Linear Bandits. AISTATS 2020: 746-755 - [c276]Peng Zhao, Guanghui Wang, Lijun Zhang, Zhi-Hua Zhou:
Bandit Convex Optimization in Non-stationary Environments. AISTATS 2020: 1508-1518 - [c275]Liang Yang, Xi-Zhu Wu, Yuan Jiang, Zhi-Hua Zhou:
Multi-Label Learning with Deep Forest. ECAI 2020: 1634-1641 - [c274]Shao-Qun Zhang, Zhi-Hua Zhou:
Harmonic Recurrent Process for Time Series Forecasting. ECAI 2020: 1714-1721 - [c273]Yu-Xuan Huang, Wang-Zhou Dai, Jian Yang, Le-Wen Cai, Shaofen Cheng, Ruizhang Huang, Yufeng Li, Zhi-Hua Zhou:
Semi-Supervised Abductive Learning and Its Application to Theft Judicial Sentencing. ICDM 2020: 1070-1075 - [c272]Lan-Zhe Guo, Zhenyu Zhang, Yuan Jiang, Yufeng Li, Zhi-Hua Zhou:
Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data. ICML 2020: 3897-3906 - [c271]Tian-Zuo Wang, Xi-Zhu Wu, Sheng-Jun Huang, Zhi-Hua Zhou:
Cost-effectively Identifying Causal Effects When Only Response Variable is Observable. ICML 2020: 10060-10069 - [c270]Zhenyu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou:
Learning with Feature and Distribution Evolvable Streams. ICML 2020: 11317-11327 - [c269]Kai Ming Ting, Bi-Cun Xu, Takashi Washio, Zhi-Hua Zhou:
Isolation Distributional Kernel: A New Tool for Kernel based Anomaly Detection. KDD 2020: 198-206 - [c268]Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou:
Dynamic Regret of Convex and Smooth Functions. NeurIPS 2020 - [c267]Wei Gao, Zhi-Hua Zhou:
Towards Convergence Rate Analysis of Random Forests for Classification. NeurIPS 2020 - [c266]Yu-Jie Zhang, Peng Zhao, Lanjihong Ma, Zhi-Hua Zhou:
An Unbiased Risk Estimator for Learning with Augmented Classes. NeurIPS 2020 - [c265]Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou:
A Simple Online Algorithm for Competing with Dynamic Comparators. UAI 2020: 390-399 - [c264]Zhi-Hua Zhou:
Can Deep Learning Only Be Neural Networks? WSDM 2020: 6 - [i81]Xi-Zhu Wu, Wenkai Xu, Song Liu, Zhi-Hua Zhou:
Model Reuse with Reduced Kernel Mean Embedding Specification. CoRR abs/2001.07135 (2020) - [i80]Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou:
Exploratory Machine Learning with Unknown Unknowns. CoRR abs/2002.01605 (2020) - [i79]Shao-Qun Zhang, Zhi-Hua Zhou:
Flexible Transmitter Network. CoRR abs/2004.03839 (2020) - [i78]Ji Feng, Yi-Xuan Xu, Yuan Jiang, Zhi-Hua Zhou:
Soft Gradient Boosting Machine. CoRR abs/2006.04059 (2020) - [i77]Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou:
Dynamic Regret of Convex and Smooth Functions. CoRR abs/2007.03479 (2020) - [i76]Bo-Jian Hou, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou:
Storage Fit Learning with Feature Evolvable Streams. CoRR abs/2007.11280 (2020) - [i75]Kai Ming Ting, Bi-Cun Xu, Takashi Washio, Zhi-Hua Zhou:
Isolation Distributional Kernel: A New Tool for Point & Group Anomaly Detection. CoRR abs/2009.12196 (2020)
2010 – 2019
- 2019
- [b1]Zhi-Hua Zhou, Yang Yu, Chao Qian:
Evolutionary Learning: Advances in Theories and Algorithms. Springer 2019, ISBN 978-981-13-5955-2, pp. 3-293 - [j172]Chao Qian, Yang Yu, Ke Tang, Xin Yao, Zhi-Hua Zhou:
Maximizing submodular or monotone approximately submodular functions by multi-objective evolutionary algorithms. Artif. Intell. 275: 279-294 (2019) - [j171]Binru Wang, Yuan Zhang, Zhi-Hua Zhou, Sheng Zhong:
On repeated stackelberg security game with the cooperative human behavior model for wildlife protection. Appl. Intell. 49(3): 1002-1015 (2019) - [j170]Zhi-Hua Zhou:
Abductive learning: towards bridging machine learning and logical reasoning. Sci. China Inf. Sci. 62(7): 76101:1-76101:3 (2019) - [j169]Zhi-Hua Zhou:
Launch of the Excellent Young Computer Scientists Forum. Frontiers Comput. Sci. 13(2): 219 (2019) - [j168]Yuting Qiang, Yanwei Fu, Xiao Yu, Yanwen Guo, Zhi-Hua Zhou, Leonid Sigal:
Learning to Generate Posters of Scientific Papers by Probabilistic Graphical Models. J. Comput. Sci. Technol. 34(1): 155-169 (2019) - [j167]Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou:
Relative Error Bound Analysis for Nuclear Norm Regularized Matrix Completion. J. Mach. Learn. Res. 20: 97:1-97:22 (2019) - [j166]Kai Ming Ting, Ye Zhu, Mark J. Carman, Yue Zhu, Takashi Washio, Zhi-Hua Zhou:
Lowest probability mass neighbour algorithms: relaxing the metric constraint in distance-based neighbourhood algorithms. Mach. Learn. 108(2): 331-376 (2019) - [j165]Tianbao Yang, Lijun Zhang, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou:
A simple homotopy proximal mapping algorithm for compressive sensing. Mach. Learn. 108(6): 1019-1056 (2019) - [j164]Han-Jia Ye, De-Chuan Zhan, Yuan Jiang, Zhi-Hua Zhou:
What Makes Objects Similar: A Unified Multi-Metric Learning Approach. IEEE Trans. Pattern Anal. Mach. Intell. 41(5): 1257-1270 (2019) - [j163]Emanuele Sansone, Francesco G. B. De Natale, Zhi-Hua Zhou:
Efficient Training for Positive Unlabeled Learning. IEEE Trans. Pattern Anal. Mach. Intell. 41(11): 2584-2598 (2019) - [j162]Sheng-Jun Huang, Wei Gao, Zhi-Hua Zhou:
Fast Multi-Instance Multi-Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 41(11): 2614-2627 (2019) - [j161]Xiu-Shen Wei, Chen-Lin Zhang, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou:
Unsupervised object discovery and co-localization by deep descriptor transformation. Pattern Recognit. 88: 113-126 (2019) - [j160]Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Yuan (Alan) Qi, Zhi-Hua Zhou:
Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud. ACM Trans. Intell. Syst. Technol. 10(5): 55:1-55:19 (2019) - [j159]Shao-Yuan Li, Yuan Jiang, Nitesh V. Chawla, Zhi-Hua Zhou:
Multi-Label Learning from Crowds. IEEE Trans. Knowl. Data Eng. 31(7): 1369-1382 (2019) - [c263]Lijun Zhang, Zhi-Hua Zhou:
Stochastic Approximation of Smooth and Strongly Convex Functions: Beyond the $O(1/T)$ Convergence Rate. COLT 2019: 3160-3179 - [c262]Xi-Zhu Wu, Song Liu, Zhi-Hua Zhou:
Heterogeneous Model Reuse via Optimizing Multiparty Multiclass Margin. ICML 2019: 6840-6849 - [c261]Lijun Zhang, Tie-Yan Liu, Zhi-Hua Zhou:
Adaptive Regret of Convex and Smooth Functions. ICML 2019: 7414-7423 - [c260]Qian-Wei Wang, Yufeng Li, Zhi-Hua Zhou:
Partial Label Learning with Unlabeled Data. IJCAI 2019: 3755-3761 - [c259]Wen-Ji Zhou, Yang Yu, Yingfeng Chen, Kai Guan, Tangjie Lv, Changjie Fan, Zhi-Hua Zhou:
Reinforcement Learning Experience Reuse with Policy Residual Representation. IJCAI 2019: 4447-4453 - [c258]Bi-Cun Xu, Kai Ming Ting, Zhi-Hua Zhou:
Isolation Set-Kernel and Its Application to Multi-Instance Learning. KDD 2019: 941-949 - [c257]Zhenyu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou:
Learning from Incomplete and Inaccurate Supervision. KDD 2019: 1017-1025 - [c256]Wang-Zhou Dai, Qiu-Ling Xu, Yang Yu, Zhi-Hua Zhou:
Bridging Machine Learning and Logical Reasoning by Abductive Learning. NeurIPS 2019: 2811-2822 - [c255]Shen-Huan Lyu, Liang Yang, Zhi-Hua Zhou:
A Refined Margin Distribution Analysis for Forest Representation Learning. NeurIPS 2019: 5531-5541 - [c254]Ji Feng, Qi-Zhi Cai, Zhi-Hua Zhou:
Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder. NeurIPS 2019: 11971-11981 - [c253]Heng-Yi Li, Ming Li, Zhi-Hua Zhou:
Towards One Reusable Model for Various Software Defect Mining Tasks. PAKDD (3) 2019: 212-224 - [c252]Tian-Zuo Wang, Sheng-Jun Huang, Zhi-Hua Zhou:
Towards Identifying Causal Relation Between Instances and Labels. SDM 2019: 289-297 - [e25]Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang:
Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11439, Springer 2019, ISBN 978-3-030-16147-7 [contents] - [e24]Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang:
Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11440, Springer 2019, ISBN 978-3-030-16144-6 [contents] - [e23]Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang:
Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part III. Lecture Notes in Computer Science 11441, Springer 2019, ISBN 978-3-030-16141-5 [contents] - [i74]Lijun Zhang, Zhi-Hua Zhou:
Stochastic Approximation of Smooth and Strongly Convex Functions: Beyond the O(1/T) Convergence Rate. CoRR abs/1901.09344 (2019) - [i73]Lan-Zhe Guo, Yufeng Li, Ming Li, Jinfeng Yi, Bowen Zhou, Zhi-Hua Zhou:
Reliable Weakly Supervised Learning: Maximize Gain and Maintain Safeness. CoRR abs/1904.09743 (2019) - [i72]Lijun Zhang, Tie-Yan Liu, Zhi-Hua Zhou:
Adaptive Regret of Convex and Smooth Functions. CoRR abs/1904.11681 (2019) - [i71]Bo-Jian Hou, Lijun Zhang, Zhi-Hua Zhou:
Prediction with Unpredictable Feature Evolution. CoRR abs/1904.12171 (2019) - [i70]Shen-Huan Lv, Liang Yang, Zhi-Hua Zhou:
Forest Representation Learning Guided by Margin Distribution. CoRR abs/1905.03052 (2019) - [i69]Ji Feng, Qi-Zhi Cai, Zhi-Hua Zhou:
Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder. CoRR abs/1905.09027 (2019) - [i68]Wen-Ji Zhou, Yang Yu, Yingfeng Chen, Kai Guan, Tangjie Lv, Changjie Fan, Zhi-Hua Zhou:
Reinforcement Learning Experience Reuse with Policy Residual Representation. CoRR abs/1905.13719 (2019) - [i67]Lu Wang, Xuanqing Liu, Jinfeng Yi, Zhi-Hua Zhou, Cho-Jui Hsieh:
Evaluating the Robustness of Nearest Neighbor Classifiers: A Primal-Dual Perspective. CoRR abs/1906.03972 (2019) - [i66]Dongdong Chen, Yisen Wang, Jinfeng Yi, Zaiyi Chen, Zhi-Hua Zhou:
Joint Semantic Domain Alignment and Target Classifier Learning for Unsupervised Domain Adaptation. CoRR abs/1906.04053 (2019) - [i65]Lijun Zhang, Guanghui Wang, Weiwei Tu, Zhi-Hua Zhou:
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions. CoRR abs/1906.10851 (2019) - [i64]Peng Zhao, Guanghui Wang, Lijun Zhang, Zhi-Hua Zhou:
Bandit Convex Optimization in Non-stationary Environments. CoRR abs/1907.12340 (2019) - [i63]Xin-Qiang Cai, Yao-Xiang Ding, Yuan Jiang, Zhi-Hua Zhou:
Expert-Level Atari Imitation Learning from Demonstrations Only. CoRR abs/1909.03773 (2019) - [i62]Shao-Qun Zhang, Zhi-Hua Zhou:
Bifurcation Spiking Neural Network. CoRR abs/1909.08341 (2019) - [i61]Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou:
An Unbiased Risk Estimator for Learning with Augmented Classes. CoRR abs/1910.09388 (2019) - [i60]Liang Yang, Xi-Zhu Wu, Yuan Jiang, Zhi-Hua Zhou:
Multi-Label Learning with Deep Forest. CoRR abs/1911.06557 (2019) - 2018
- [j158]Chao Qian, Yang Yu, Zhi-Hua Zhou:
Analyzing Evolutionary Optimization in Noisy Environments. Evol. Comput. 26(1) (2018) - [j157]Chao Qian, Yang Yu, Ke Tang, Yaochu Jin, Xin Yao, Zhi-Hua Zhou:
On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments. Evol. Comput. 26(2) (2018) - [j156]Tao Sun, Zhi-Hua Zhou:
Structural diversity for decision tree ensemble learning. Frontiers Comput. Sci. 12(3): 560-570 (2018) - [j155]Yao-Xiang Ding, Zhi-Hua Zhou:
Crowdsourcing with unsure option. Mach. Learn. 107(4): 749-766 (2018) - [j154]Stephen H. Muggleton, Wang-Zhou Dai, Claude Sammut, Alireza Tamaddoni-Nezhad, Jing Wen, Zhi-Hua Zhou:
Meta-Interpretive Learning from noisy images. Mach. Learn. 107(7): 1097-1118 (2018) - [j153]Chenping Hou, Zhi-Hua Zhou:
One-Pass Learning with Incremental and Decremental Features. IEEE Trans. Pattern Anal. Mach. Intell. 40(11): 2776-2792 (2018) - [j152]Chao Qian, Jing-Cheng Shi, Ke Tang, Zhi-Hua Zhou:
Constrained Monotone k-Submodular Function Maximization Using Multiobjective Evolutionary Algorithms With Theoretical Guarantee. IEEE Trans. Evol. Comput. 22(4): 595-608 (2018) - [j151]Yue Zhu, James T. Kwok, Zhi-Hua Zhou:
Multi-Label Learning with Global and Local Label Correlation. IEEE Trans. Knowl. Data Eng. 30(6): 1081-1094 (2018) - [j150]Yue Zhu, Kai Ming Ting, Zhi-Hua Zhou:
Multi-Label Learning with Emerging New Labels. IEEE Trans. Knowl. Data Eng. 30(10): 1901-1914 (2018) - [j149]Yang Yu, Shi-Yong Chen, Qing Da, Zhi-Hua Zhou:
Reusable Reinforcement Learning via Shallow Trails. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2204-2215 (2018) - [c251]Hao-Chen Dong, Yufeng Li, Zhi-Hua Zhou:
Learning From Semi-Supervised Weak-Label Data. AAAI 2018: 2926-2933 - [c250]Ji Feng, Zhi-Hua Zhou:
AutoEncoder by Forest. AAAI 2018: 2967-2973 - [c249]Chong Liu, Peng Zhao, Sheng-Jun Huang, Yuan Jiang, Zhi-Hua Zhou:
Dual Set Multi-Label Learning. AAAI 2018: 3635-3642 - [c248]Teng Zhang, Zhi-Hua Zhou:
Optimal Margin Distribution Clustering. AAAI 2018: 4474-4481 - [c247]Peng Zhao, Zhi-Hua Zhou:
Label Distribution Learning by Optimal Transport. AAAI 2018: 4506-4513 - [c246]Ming Pang, Kai-Ming Ting, Peng Zhao, Zhi-Hua Zhou:
Improving Deep Forest by Confidence Screening. ICDM 2018: 1194-1199 - [c245]Han-Jia Ye, De-Chuan Zhan, Yuan Jiang, Zhi-Hua Zhou:
Rectify Heterogeneous Models with Semantic Mapping. ICML 2018: 1904-1913 - [c244]Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou:
Dynamic Regret of Strongly Adaptive Methods. ICML 2018: 5877-5886 - [c243]Dongdong Chen, Wei Wang, Wei Gao, Zhi-Hua Zhou:
Tri-net for Semi-Supervised Deep Learning. IJCAI 2018: 2014-2020 - [c242]Yi-Qi Hu, Yang Yu, Zhi-Hua Zhou:
Experienced Optimization with Reusable Directional Model for Hyper-Parameter Search. IJCAI 2018: 2276-2282 - [c241]Chao Zhang, Yang Yu, Zhi-Hua Zhou:
Learning Environmental Calibration Actions for Policy Self-Evolution. IJCAI 2018: 3061-3067 - [c240]Teng Zhang, Zhi-Hua Zhou:
Semi-Supervised Optimal Margin Distribution Machines. IJCAI 2018: 3104-3110 - [c239]Kai Ming Ting, Yue Zhu, Zhi-Hua Zhou:
Isolation Kernel and Its Effect on SVM. KDD 2018: 2329-2337 - [c238]Lijun Zhang, Zhi-Hua Zhou:
\ell_1-regression with Heavy-tailed Distributions. NeurIPS 2018: 1084-1094 - [c237]Lijun Zhang, Shiyin Lu, Zhi-Hua Zhou:
Adaptive Online Learning in Dynamic Environments. NeurIPS 2018: 1330-1340 - [c236]Ji Feng, Yang Yu, Zhi-Hua Zhou:
Multi-Layered Gradient Boosting Decision Trees. NeurIPS 2018: 3555-3565 - [c235]Ming Pang, Wei Gao, Min Tao, Zhi-Hua Zhou:
Unorganized Malicious Attacks Detection. NeurIPS 2018: 6976-6985 - [c234]Yao-Xiang Ding, Zhi-Hua Zhou:
Preference Based Adaptation for Learning Objectives. NeurIPS 2018: 7839-7848 - [c233]Xin Mu, Feida Zhu, Yue Liu, Ee-Peng Lim, Zhi-Hua Zhou:
Social Stream Classification with Emerging New Labels. PAKDD (1) 2018: 16-28 - [c232]Ya-Lin Zhang, Longfei Li, Jun Zhou, Xiaolong Li, Zhi-Hua Zhou:
Anomaly Detection with Partially Observed Anomalies. WWW (Companion Volume) 2018: 639-646 - [r7]Zhi-Hua Zhou:
Boosting. Encyclopedia of Database Systems (2nd ed.) 2018 - [r6]Zhi-Hua Zhou:
Ensemble. Encyclopedia of Database Systems (2nd ed.) 2018 - [i59]Wang-Zhou Dai, Qiu-Ling Xu, Yang Yu, Zhi-Hua Zhou:
Tunneling Neural Perception and Logic Reasoning through Abductive Learning. CoRR abs/1802.01173 (2018) - [i58]Lijun Zhang, Zhi-Hua Zhou:
𝓁1-regression with Heavy-tailed Distributions. CoRR abs/1805.00616 (2018) - [i57]Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Zhi-Hua Zhou:
Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud. CoRR abs/1805.04234 (2018) - [i56]Miao Xu, Gang Niu, Bo Han, Ivor W. Tsang, Zhi-Hua Zhou, Masashi Sugiyama:
Matrix Co-completion for Multi-label Classification with Missing Features and Labels. CoRR abs/1805.09156 (2018) - [i55]Ji Feng, Yang Yu, Zhi-Hua Zhou:
Multi-Layered Gradient Boosting Decision Trees. CoRR abs/1806.00007 (2018) - [i54]Peng Zhao, Le-Wen Cai, Zhi-Hua Zhou:
Handling Concept Drift via Model Reuse. CoRR abs/1809.02804 (2018) - [i53]Bo-Jian Hou, Zhi-Hua Zhou:
Learning with Interpretable Structure from RNN. CoRR abs/1810.10708 (2018) - [i52]Lijun Zhang, Shiyin Lu, Zhi-Hua Zhou:
Adaptive Online Learning in Dynamic Environments. CoRR abs/1810.10815 (2018) - [i51]Shen-Huan Lv, Lu Wang, Zhi-Hua Zhou:
Optimal Margin Distribution Network. CoRR abs/1812.10761 (2018) - 2017
- [j148]Weijia Zhang, Thuc Duy Le, Lin Liu, Zhi-Hua Zhou, Jiuyong Li:
Mining heterogeneous causal effects for personalized cancer treatment. Bioinform. 33(15): 2372-2378 (2017) - [j147]Wei Li, Wenjun Wu, Huaimin Wang, Xueqi Cheng, Huajun Chen, Zhi-Hua Zhou, Rong Ding:
Crowd intelligence in AI 2.0 era. Frontiers Inf. Technol. Electron. Eng. 18(1): 15-43 (2017) - [j146]Geoffrey Holmes, Tie-Yan Liu, Hang Li, Irwin King, Masashi Sugiyama, Zhi-Hua Zhou:
Introduction: special issue of selected papers from ACML 2015. Mach. Learn. 106(4): 459-461 (2017) - [j145]Robert J. Durrant, Kee-Eung Kim, Geoffrey Holmes, Stephen Marsland, Masashi Sugiyama, Zhi-Hua Zhou:
Foreword: special issue for the journal track of the 8th Asian conference on machine learning (ACML 2016). Mach. Learn. 106(5): 623-625 (2017) - [j144]Jianxin Wu, Xiang Bai, Marco Loog, Fabio Roli, Zhi-Hua Zhou:
Editorial of the Special Issue on Multi-instance Learning in Pattern Recognition and Vision. Pattern Recognit. 71: 444-445 (2017) - [j143]Xiu-Shen Wei, Jian-Hao Luo, Jianxin Wu, Zhi-Hua Zhou:
Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval. IEEE Trans. Image Process. 26(6): 2868-2881 (2017) - [j142]Chenping Hou, Yuanyuan Jiao, Feiping Nie, Tingjin Luo, Zhi-Hua Zhou:
2D Feature Selection by Sparse Matrix Regression. IEEE Trans. Image Process. 26(9): 4255-4268 (2017) - [j141]Xin Mu, Kai Ming Ting, Zhi-Hua Zhou:
Classification Under Streaming Emerging New Classes: A Solution Using Completely-Random Trees. IEEE Trans. Knowl. Data Eng. 29(8): 1605-1618 (2017) - [j140]Xiu-Shen Wei, Jianxin Wu, Zhi-Hua Zhou:
Scalable Algorithms for Multi-Instance Learning. IEEE Trans. Neural Networks Learn. Syst. 28(4): 975-987 (2017) - [c231]Ji Feng, Zhi-Hua Zhou:
Deep MIML Network. AAAI 2017: 1884-1890 - [c230]Yufeng Li, Han-Wen Zha, Zhi-Hua Zhou:
Learning Safe Prediction for Semi-Supervised Regression. AAAI 2017: 2217-2223 - [c229]Xin Mu, Feida Zhu, Juan Du, Ee-Peng Lim, Zhi-Hua Zhou:
Streaming Classification with Emerging New Class by Class Matrix Sketching. AAAI 2017: 2373-2379 - [c228]Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang, Zhi-Hua Zhou:
Deep Learning for Fixed Model Reuse. AAAI 2017: 2831-2837 - [c227]Yue Zhu, Kai Ming Ting, Zhi-Hua Zhou:
Discover Multiple Novel Labels in Multi-Instance Multi-Label Learning. AAAI 2017: 2977-2984 - [c226]Wang-Zhou Dai, Zhi-Hua Zhou:
Combining Logical Abduction and Statistical Induction: Discovering Written Primitives with Human Knowledge. AAAI 2017: 4392-4398 - [c225]Ya-Lin Zhang, Longfei Li, Jun Zhou, Xiaolong Li, Yujiang Liu, Yuanchao Zhang, Zhi-Hua Zhou:
POSTER: A PU Learning based System for Potential Malicious URL Detection. CCS 2017: 2599-2601 - [c224]Daizong Ding, Mi Zhang, Shao-Yuan Li, Jie Tang, Xiaotie Chen, Zhi-Hua Zhou:
BayDNN: Friend Recommendation with Bayesian Personalized Ranking Deep Neural Network. CIKM 2017: 1479-1488 - [c223]Yue Zhu, Kai Ming Ting, Zhi-Hua Zhou:
New Class Adaptation Via Instance Generation in One-Pass Class Incremental Learning. ICDM 2017: 1207-1212 - [c222]Xi-Zhu Wu, Zhi-Hua Zhou:
A Unified View of Multi-Label Performance Measures. ICML 2017: 3780-3788 - [c221]Teng Zhang, Zhi-Hua Zhou:
Multi-Class Optimal Margin Distribution Machine. ICML 2017: 4063-4071 - [c220]Bo-Jian Hou, Lijun Zhang, Zhi-Hua Zhou:
Storage Fit Learning with Unlabeled Data. IJCAI 2017: 1844-1850 - [c219]Sheng-Jun Huang, Jia-Lve Chen, Xin Mu, Zhi-Hua Zhou:
Cost-Effective Active Learning from Diverse Labelers. IJCAI 2017: 1879-1885 - [c218]Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou:
Optimizing Ratio of Monotone Set Functions. IJCAI 2017: 2606-2612 - [c217]Wei Wang, Xiang-Yu Guo, Shao-Yuan Li, Yuan Jiang, Zhi-Hua Zhou:
Obtaining High-Quality Label by Distinguishing between Easy and Hard Items in Crowdsourcing. IJCAI 2017: 2964-2970 - [c216]Xiu-Shen Wei, Chen-Lin Zhang, Yao Li, Chen-Wei Xie, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou:
Deep Descriptor Transforming for Image Co-Localization. IJCAI 2017: 3048-3054 - [c215]Miao Xu, Zhi-Hua Zhou:
Incomplete Label Distribution Learning. IJCAI 2017: 3175-3181 - [c214]Ya-Lin Zhang, Zhi-Hua Zhou:
Multi-Instance Learning with Key Instance Shift. IJCAI 2017: 3441-3447 - [c213]Zhi-Hua Zhou, Ji Feng:
Deep Forest: Towards An Alternative to Deep Neural Networks. IJCAI 2017: 3553-3559 - [c212]Wang-Zhou Dai, Stephen H. Muggleton, Jing Wen, Alireza Tamaddoni-Nezhad, Zhi-Hua Zhou:
Logical Vision: One-Shot Meta-Interpretive Learning from Real Images. ILP 2017: 46-62 - [c211]Lijun Zhang, Tianbao Yang, Jinfeng Yi, Rong Jin, Zhi-Hua Zhou:
Improved Dynamic Regret for Non-degenerate Functions. NIPS 2017: 732-741 - [c210]Bo-Jian Hou, Lijun Zhang, Zhi-Hua Zhou:
Learning with Feature Evolvable Streams. NIPS 2017: 1417-1427 - [c209]Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou:
Subset Selection under Noise. NIPS 2017: 3560-3570 - [c208]Peng Zhao, Yuan Jiang, Zhi-Hua Zhou:
Multi-View Matrix Completion for Clustering with Side Information. PAKDD (2) 2017: 403-415 - [r5]Zhi-Hua Zhou, Min-Ling Zhang:
Multi-label Learning. Encyclopedia of Machine Learning and Data Mining 2017: 875-881 - [i50]Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou:
Strongly Adaptive Regret Implies Optimally Dynamic Regret. CoRR abs/1701.07570 (2017) - [i49]Yuting Qiang, Yanwei Fu, Xiao Yu, Yanwen Guo, Zhi-Hua Zhou, Leonid Sigal:
Learning to Generate Posters of Scientific Papers by Probabilistic Graphical Models. CoRR abs/1702.06228 (2017) - [i48]Zhi-Hua Zhou, Ji Feng:
Deep Forest: Towards An Alternative to Deep Neural Networks. CoRR abs/1702.08835 (2017) - [i47]Yue Zhu, James T. Kwok, Zhi-Hua Zhou:
Multi-Label Learning with Global and Local Label Correlation. CoRR abs/1704.01415 (2017) - [i46]Lech Szymanski, Brendan McCane, Wei Gao, Zhi-Hua Zhou:
Effects of the optimisation of the margin distribution on generalisation in deep architectures. CoRR abs/1704.05646 (2017) - [i45]Xiu-Shen Wei, Chen-Lin Zhang, Yao Li, Chen-Wei Xie, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou:
Deep Descriptor Transforming for Image Co-Localization. CoRR abs/1705.02758 (2017) - [i44]Peng Zhao, Zhi-Hua Zhou:
Distribution-Free One-Pass Learning. CoRR abs/1706.02471 (2017) - [i43]Bo-Jian Hou, Lijun Zhang, Zhi-Hua Zhou:
Learning with Feature Evolvable Streams. CoRR abs/1706.05259 (2017) - [i42]Xiu-Shen Wei, Chen-Lin Zhang, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou:
Unsupervised Object Discovery and Co-Localization by Deep Descriptor Transforming. CoRR abs/1707.06397 (2017) - [i41]Wei Wang, Zhi-Hua Zhou:
Theoretical Foundation of Co-Training and Disagreement-Based Algorithms. CoRR abs/1708.04403 (2017) - [i40]Ji Feng, Zhi-Hua Zhou:
AutoEncoder by Forest. CoRR abs/1709.09018 (2017) - [i39]Chao Qian, Yang Yu, Ke Tang, Xin Yao, Zhi-Hua Zhou:
Maximizing Non-monotone/Non-submodular Functions by Multi-objective Evolutionary Algorithms. CoRR abs/1711.07214 (2017) - 2016
- [j139]Wei Gao, Lu Wang, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou:
One-pass AUC optimization. Artif. Intell. 236: 1-29 (2016) - [j138]Wei Gao, Zhi-Hua Zhou:
Dropout Rademacher complexity of deep neural networks. Sci. China Inf. Sci. 59(7): 072104:1-072104:12 (2016) - [j137]Zhi-Hua Zhou:
Launch of the NSFC Excellent Young Scholars Forum. Frontiers Comput. Sci. 10(1): 1 (2016) - [j136]Zhi-Hua Zhou:
Learnware: on the future of machine learning. Frontiers Comput. Sci. 10(4): 589-590 (2016) - [j135]Guo-Bing Zhou, Jianxin Wu, Chen-Lin Zhang, Zhi-Hua Zhou:
Minimal gated unit for recurrent neural networks. Int. J. Autom. Comput. 13(3): 226-234 (2016) - [j134]Hang Li, Dinh Q. Phung, Tru H. Cao, Tu Bao Ho, Zhi-Hua Zhou:
Introduction: special issue of selected papers from ACML 2014. Mach. Learn. 103(2): 137-139 (2016) - [j133]Xiu-Shen Wei, Zhi-Hua Zhou:
An empirical study on image bag generators for multi-instance learning. Mach. Learn. 105(2): 155-198 (2016) - [j132]Yanjie Fu, Hui Xiong, Yong Ge, Yu Zheng, Zijun Yao, Zhi-Hua Zhou:
Modeling of Geographic Dependencies for Real Estate Ranking. ACM Trans. Knowl. Discov. Data 11(1): 11:1-11:27 (2016) - [j131]Yu-Hang Zhou, Zhi-Hua Zhou:
Large Margin Distribution Learning with Cost Interval and Unlabeled Data. IEEE Trans. Knowl. Data Eng. 28(7): 1749-1763 (2016) - [c207]Yuting Qiang, Yanwei Fu, Yanwen Guo, Zhi-Hua Zhou, Leonid Sigal:
Learning to Generate Posters of Scientific Papers. AAAI 2016: 51-57 - [c206]Wang-Cheng Kang, Wu-Jun Li, Zhi-Hua Zhou:
Column Sampling Based Discrete Supervised Hashing. AAAI 2016: 1230-1236 - [c205]Wei Gao, Lu Wang, Yufeng Li, Zhi-Hua Zhou:
Risk Minimization in the Presence of Label Noise. AAAI 2016: 1575-1581 - [c204]Yufeng Li, James T. Kwok, Zhi-Hua Zhou:
Towards Safe Semi-Supervised Learning for Multivariate Performance Measures. AAAI 2016: 1816-1822 - [c203]De-Chuan Zhan, Peng Hu, Zui Chu, Zhi-Hua Zhou:
Learning Expected Hitting Time Distance. AAAI 2016: 2309-2314 - [c202]Lijun Zhang, Tianbao Yang, Jinfeng Yi, Rong Jin, Zhi-Hua Zhou:
Stochastic Optimization for Kernel PCA. AAAI 2016: 2315-2322 - [c201]Wei Gao, Xin-Yi Niu, Zhi-Hua Zhou:
Learnability of Non-I.I.D. ACML 2016: 158-173 - [c200]Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou:
Sparse Learning for Large-Scale and High-Dimensional Data: A Randomized Convex-Concave Optimization Approach. ALT 2016: 83-97 - [c199]Yue Zhu, Kai Ming Ting, Zhi-Hua Zhou:
Multi-label Learning with Emerging New Labels. ICDM 2016: 1371-1376 - [c198]Lijun Zhang, Tianbao Yang, Rong Jin, Yichi Xiao, Zhi-Hua Zhou:
Online Stochastic Linear Optimization under One-bit Feedback. ICML 2016: 392-401 - [c197]Chao Qian, Yang Yu, Zhi-Hua Zhou:
A Lower Bound Analysis of Population-Based Evolutionary Algorithms for Pseudo-Boolean Functions. IDEAL 2016: 457-467 - [c196]Xuan Huo, Ming Li, Zhi-Hua Zhou:
Learning Unified Features from Natural and Programming Languages for Locating Buggy Source Code. IJCAI 2016: 1606-1612 - [c195]Yufeng Li, Shao-Bo Wang, Zhi-Hua Zhou:
Graph Quality Judgement: A Large Margin Expedition. IJCAI 2016: 1725-1731 - [c194]Li-Ping Liu, Thomas G. Dietterich, Nan Li, Zhi-Hua Zhou:
Transductive Optimization of Top k Precision. IJCAI 2016: 1781-1787 - [c193]Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou:
Parallel Pareto Optimization for Subset Selection. IJCAI 2016: 1939-1945 - [c192]Lu Wang, Zhi-Hua Zhou:
Cost-Saving Effect of Crowdsourcing Learning. IJCAI 2016: 2111-2117 - [c191]Kai Ming Ting, Ye Zhu, Mark James Carman, Yue Zhu, Zhi-Hua Zhou:
Overcoming Key Weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure. KDD 2016: 1205-1214 - [c190]Xin Mu, Feida Zhu, Ee-Peng Lim, Jing Xiao, Jianzong Wang, Zhi-Hua Zhou:
User Identity Linkage by Latent User Space Modelling. KDD 2016: 1775-1784 - [c189]Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang, Zhi-Hua Zhou:
What Makes Objects Similar: A Unified Multi-Metric Learning Approach. NIPS 2016: 1235-1243 - [c188]Chao Qian, Ke Tang, Zhi-Hua Zhou:
Selection Hyper-heuristics Can Provably Be Helpful in Evolutionary Multi-objective Optimization. PPSN 2016: 835-846 - [c187]Xiao-Dong Wang, Zhi-Hua Zhou:
Facial Age Estimation by Total Ordering Preserving Projection. PRICAI 2016: 603-615 - [e22]Francesco Bonchi, Josep Domingo-Ferrer, Ricardo Baeza-Yates, Zhi-Hua Zhou, Xindong Wu:
IEEE 16th International Conference on Data Mining, ICDM 2016, December 12-15, 2016, Barcelona, Spain. IEEE Computer Society 2016 [contents] - [e21]Carlotta Domeniconi, Francesco Gullo, Francesco Bonchi, Josep Domingo-Ferrer, Ricardo Baeza-Yates, Zhi-Hua Zhou, Xindong Wu:
IEEE International Conference on Data Mining Workshops, ICDM Workshops 2016, December 12-15, 2016, Barcelona, Spain. IEEE Computer Society 2016 [contents] - [i38]Guo-Bing Zhou, Jianxin Wu, Chen-Lin Zhang, Zhi-Hua Zhou:
Minimal Gated Unit for Recurrent Neural Networks. CoRR abs/1603.09420 (2016) - [i37]Yuting Qiang, Yanwei Fu, Yanwen Guo, Zhi-Hua Zhou, Leonid Sigal:
Learning to Generate Posters of Scientific Papers. CoRR abs/1604.01219 (2016) - [i36]Teng Zhang, Zhi-Hua Zhou:
Optimal Margin Distribution Machine. CoRR abs/1604.03348 (2016) - [i35]Xiu-Shen Wei, Jian-Hao Luo, Jianxin Wu, Zhi-Hua Zhou:
Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval. CoRR abs/1604.04994 (2016) - [i34]Chenping Hou, Zhi-Hua Zhou:
One-Pass Learning with Incremental and Decremental Features. CoRR abs/1605.09082 (2016) - [i33]Xin Mu, Kai Ming Ting, Zhi-Hua Zhou:
Classification under Streaming Emerging New Classes: A Solution using Completely Random Trees. CoRR abs/1605.09131 (2016) - [i32]Chao Qian, Yang Yu, Zhi-Hua Zhou:
A Lower Bound Analysis of Population-based Evolutionary Algorithms for Pseudo-Boolean Functions. CoRR abs/1606.03326 (2016) - [i31]Wei Gao, Xin-Yi Niu, Zhi-Hua Zhou:
On the Consistency of Exact and Approximate Nearest Neighbor with Noisy Data. CoRR abs/1607.07526 (2016) - [i30]Lijun Zhang, Tianbao Yang, Jinfeng Yi, Rong Jin, Zhi-Hua Zhou:
Improved dynamic regret for non-degeneracy functions. CoRR abs/1608.03933 (2016) - [i29]Xi-Zhu Wu, Zhi-Hua Zhou:
A Unified View of Multi-Label Performance Measures. CoRR abs/1609.00288 (2016) - [i28]Yao-Xiang Ding, Zhi-Hua Zhou:
Crowdsourcing with Unsure Option. CoRR abs/1609.00292 (2016) - [i27]Ming Pang, Wei Gao, Min Tao, Zhi-Hua Zhou:
Unorganized Malicious Attacks Detection. CoRR abs/1610.04086 (2016) - 2015
- [j130]Chao Qian, Yang Yu, Zhi-Hua Zhou:
Variable solution structure can be helpful in evolutionary optimization. Sci. China Inf. Sci. 58(11): 1-17 (2015) - [j129]Wei Wang, Zhi-Hua Zhou:
Crowdsourcing label quality: a theoretical analysis. Sci. China Inf. Sci. 58(11): 1-12 (2015) - [j128]Yufeng Li, Zhi-Hua Zhou:
Towards Making Unlabeled Data Never Hurt. IEEE Trans. Pattern Anal. Mach. Intell. 37(1): 175-188 (2015) - [j127]Yang Yu, Chao Qian, Zhi-Hua Zhou:
Switch Analysis for Running Time Analysis of Evolutionary Algorithms. IEEE Trans. Evol. Comput. 19(6): 777-792 (2015) - [j126]Ju-Hua Hu, De-Chuan Zhan, Xintao Wu, Yuan Jiang, Zhi-Hua Zhou:
Pairwised Specific Distance Learning from Physical Linkages. ACM Trans. Knowl. Discov. Data 9(3): 20:1-20:27 (2015) - [j125]Jing Liu, Yu Jiang, Zechao Li, Zhi-Hua Zhou, Hanqing Lu:
Partially Shared Latent Factor Learning With Multiview Data. IEEE Trans. Neural Networks Learn. Syst. 26(6): 1233-1246 (2015) - [j124]Qi Guo, Tianshi Chen, Zhi-Hua Zhou, Olivier Temam, Ling Li, Depei Qian, Yunji Chen:
Robust Design Space Modeling. ACM Trans. Design Autom. Electr. Syst. 20(2): 18:1-18:22 (2015) - [c186]Xin-Yu Dai, Jianbing Zhang, Shujian Huang, Jiajun Chen, Zhi-Hua Zhou:
Structured Sparsity with Group-Graph Regularization. AAAI 2015: 1714-1720 - [c185]Chao Qian, Yang Yu, Zhi-Hua Zhou:
Pareto Ensemble Pruning. AAAI 2015: 2935-2941 - [c184]Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou:
Online Bandit Learning for a Special Class of Non-Convex Losses. AAAI 2015: 3158-3164 - [c183]Wang-Zhou Dai, Zhi-Hua Zhou:
Statistical Unfolded Logic Learning. ACML 2015: 349-361 - [c182]Yue Zhu, Wei Gao, Zhi-Hua Zhou:
One-Pass Multi-View Learning. ACML 2015: 407-422 - [c181]Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou:
A Simple Homotopy Algorithm for Compressive Sensing. AISTATS 2015 - [c180]Han-Jia Ye, De-Chuan Zhan, Yuan Miao, Yuan Jiang, Zhi-Hua Zhou:
Rank Consistency based Multi-View Learning: A Privacy-Preserving Approach. CIKM 2015: 991-1000 - [c179]Miao Xu, Rong Jin, Zhi-Hua Zhou:
CUR Algorithm for Partially Observed Matrices. ICML 2015: 1412-1421 - [c178]Chao Qian, Yang Yu, Zhi-Hua Zhou:
On Constrained Boolean Pareto Optimization. IJCAI 2015: 389-395 - [c177]Wei Gao, Zhi-Hua Zhou:
On the Consistency of AUC Pairwise Optimization. IJCAI 2015: 939-945 - [c176]Sheng-Jun Huang, Songcan Chen, Zhi-Hua Zhou:
Multi-Label Active Learning: Query Type Matters. IJCAI 2015: 946-952 - [c175]Jinhong Zhong, Ke Tang, Zhi-Hua Zhou:
Active Learning from Crowds with Unsure Option. IJCAI 2015: 1061-1068 - [c174]Wang-Zhou Dai, Stephen H. Muggleton, Zhi-Hua Zhou:
Logical Vision: Meta-Interpretive Learning for Simple Geometrical Concepts. ILP (Late Breaking Papers) 2015: 1-16 - [c173]Nan Li, Yuan Jiang, Zhi-Hua Zhou:
Multi-label Selective Ensemble. MCS 2015: 76-88 - [c172]Chao Qian, Yang Yu, Zhi-Hua Zhou:
Subset Selection by Pareto Optimization. NIPS 2015: 1774-1782 - [p1]James Tin-Yau Kwok, Zhi-Hua Zhou, Lei Xu:
Machine Learning. Handbook of Computational Intelligence 2015: 495-522 - [e20]Charu C. Aggarwal, Zhi-Hua Zhou, Alexander Tuzhilin, Hui Xiong, Xindong Wu:
2015 IEEE International Conference on Data Mining, ICDM 2015, Atlantic City, NJ, USA, November 14-17, 2015. IEEE Computer Society 2015, ISBN 978-1-4673-9504-5 [contents] - [e19]Xiaofei He, Xinbo Gao, Yanning Zhang, Zhi-Hua Zhou, Zhiyong Liu, Baochuan Fu, Fuyuan Hu, Zhancheng Zhang:
Intelligence Science and Big Data Engineering. Image and Video Data Engineering - 5th International Conference, IScIDE 2015, Suzhou, China, June 14-16, 2015, Revised Selected Papers, Part I. Lecture Notes in Computer Science 9242, Springer 2015, ISBN 978-3-319-23987-3 [contents] - [e18]Xiaofei He, Xinbo Gao, Yanning Zhang, Zhi-Hua Zhou, Zhiyong Liu, Baochuan Fu, Fuyuan Hu, Zhancheng Zhang:
Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques - 5th International Conference, IScIDE 2015, Suzhou, China, June 14-16, 2015, Revised Selected Papers, Part II. Lecture Notes in Computer Science 9243, Springer 2015, ISBN 978-3-319-23861-6 [contents] - [e17]Tru H. Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu Bao Ho, David Wai-Lok Cheung, Hiroshi Motoda:
Advances in Knowledge Discovery and Data Mining - 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part I. Lecture Notes in Computer Science 9077, Springer 2015, ISBN 978-3-319-18037-3 [contents] - [e16]Tru H. Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu Bao Ho, David Wai-Lok Cheung, Hiroshi Motoda:
Advances in Knowledge Discovery and Data Mining - 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part II. Lecture Notes in Computer Science 9078, Springer 2015, ISBN 978-3-319-18031-1 [contents] - [e15]Xiaoli Li, Tru H. Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu Bao Ho, David Wai-Lok Cheung, Hiroshi Motoda:
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2015 Workshops: BigPMA, VLSP, QIMIE, DAEBH, Ho Chi Minh City, Vietnam, May 19-21, 2015. Revised Selected Papers. Lecture Notes in Computer Science 9441, Springer 2015, ISBN 978-3-319-25659-7 [contents] - [r4]Zhi-Hua Zhou:
Ensemble Learning. Encyclopedia of Biometrics 2015: 411-416 - [i26]Shen-Yi Zhao, Wu-Jun Li, Zhi-Hua Zhou:
Scalable Stochastic Alternating Direction Method of Multipliers. CoRR abs/1502.03529 (2015) - [i25]Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou:
Analysis of Nuclear Norm Regularization for Full-rank Matrix Completion. CoRR abs/1504.06817 (2015) - [i24]Shao-Yuan Li, Yuan Jiang, Zhi-Hua Zhou:
Multi-Label Active Learning from Crowds. CoRR abs/1508.00722 (2015) - [i23]Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou:
Online Stochastic Linear Optimization under One-bit Feedback. CoRR abs/1509.07728 (2015) - [i22]Li-Ping Liu, Thomas G. Dietterich, Nan Li, Zhi-Hua Zhou:
Transductive Optimization of Top k Precision. CoRR abs/1510.05976 (2015) - [i21]Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou:
Stochastic Proximal Gradient Descent for Nuclear Norm Regularization. CoRR abs/1511.01664 (2015) - [i20]Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou:
Sparse Learning for Large-scale and High-dimensional Data: A Randomized Convex-concave Optimization Approach. CoRR abs/1511.03766 (2015) - 2014
- [j123]Lei Yuan, Cheng Pan, Shuiwang Ji, Michael McCutchan, Zhi-Hua Zhou, Stuart J. Newfeld, Sudhir Kumar, Jieping Ye:
Automated annotation of developmental stages of Drosophila embryos in images containing spatial patterns of expression. Bioinform. 30(2): 266-273 (2014) - [j122]Yanning Zhang, Zhi-Hua Zhou, Changshui Zhang:
Special issue on the Sino-foreign-interchange workshop on intelligence science and intelligent data engineering. Neurocomputing 134: 1-2 (2014) - [j121]Sheng-Jun Huang, Rong Jin, Zhi-Hua Zhou:
Active Learning by Querying Informative and Representative Examples. IEEE Trans. Pattern Anal. Mach. Intell. 36(10): 1936-1949 (2014) - [j120]Jennifer G. Dy, Zhi-Hua Zhou:
Editorial to the Special Issue of Selected Papers of SDM 2013. Stat. Anal. Data Min. 7(4): 227-228 (2014) - [j119]Jian-Sheng Wu, Sheng-Jun Huang, Zhi-Hua Zhou:
Genome-Wide Protein Function Prediction through Multi-Instance Multi-Label Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 11(5): 891-902 (2014) - [j118]Chao Chen, Daqing Zhang, Nan Li, Zhi-Hua Zhou:
B-Planner: Planning Bidirectional Night Bus Routes Using Large-Scale Taxi GPS Traces. IEEE Trans. Intell. Transp. Syst. 15(4): 1451-1465 (2014) - [j117]Min-Ling Zhang, Zhi-Hua Zhou:
A Review on Multi-Label Learning Algorithms. IEEE Trans. Knowl. Data Eng. 26(8): 1819-1837 (2014) - [c171]Qing Da, Yang Yu, Zhi-Hua Zhou:
Learning with Augmented Class by Exploiting Unlabeled Data. AAAI 2014: 1760-1766 - [c170]Sheng-Jun Huang, Wei Gao, Zhi-Hua Zhou:
Fast Multi-Instance Multi-Label Learning. AAAI 2014: 1868-1874 - [c169]Shao-Yuan Li, Yuan Jiang, Zhi-Hua Zhou:
Partial Multi-View Clustering. AAAI 2014: 1968-1974 - [c168]Cam-Tu Nguyen, Xiaoliang Wang, Jing Liu, Zhi-Hua Zhou:
Labeling Complicated Objects: Multi-View Multi-Instance Multi-Label Learning. AAAI 2014: 2013-2019 - [c167]Weijia Zhang, Zhi-Hua Zhou:
Multi-Instance Learning with Distribution Change. AAAI 2014: 2184-2190 - [c166]Yue Zhu, Jianxin Wu, Yuan Jiang, Zhi-Hua Zhou:
Learning with Augmented Multi-Instance View. ACML 2014 - [c165]Zhi-Hua Zhou:
Large Margin Distribution Learning. ANNPR 2014: 1-11 - [c164]Qing Da, Yang Yu, Zhi-Hua Zhou:
Napping for functional representation of policy. AAMAS 2014: 189-196 - [c163]Chi-Min Huang, Josh Jia-Ching Ying, Vincent S. Tseng, Zhi-Hua Zhou:
Location semantics prediction for living analytics by mining smartphone data. DSAA 2014: 527-533 - [c162]Xiu-Shen Wei, Jianxin Wu, Zhi-Hua Zhou:
Scalable Multi-instance Learning. ICDM 2014: 1037-1042 - [c161]Tianshi Chen, Qi Guo, Ke Tang, Olivier Temam, Zhiwei Xu, Zhi-Hua Zhou, Yunji Chen:
ArchRanker: A ranking approach to design space exploration. ISCA 2014: 85-96 - [c160]Teng Zhang, Zhi-Hua Zhou:
Large margin distribution machine. KDD 2014: 313-322 - [c159]Yanjie Fu, Hui Xiong, Yong Ge, Zijun Yao, Yu Zheng, Zhi-Hua Zhou:
Exploiting geographic dependencies for real estate appraisal: a mutual perspective of ranking and clustering. KDD 2014: 1047-1056 - [c158]Jiawei Zhang, Philip S. Yu, Zhi-Hua Zhou:
Meta-path based multi-network collective link prediction. KDD 2014: 1286-1295 - [c157]Nan Li, Rong Jin, Zhi-Hua Zhou:
Top Rank Optimization in Linear Time. NIPS 2014: 1502-1510 - [c156]Chao Qian, Yang Yu, Yaochu Jin, Zhi-Hua Zhou:
On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments. PPSN 2014: 302-311 - [e14]Zhi-Hua Zhou, Wei Wang, Ravi Kumar, Hannu Toivonen, Jian Pei, Joshua Zhexue Huang, Xindong Wu:
2014 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2014, Shenzhen, China, December 14, 2014. IEEE Computer Society 2014, ISBN 978-1-4799-4274-9 [contents] - [e13]Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L. P. Chen, Hung-Yu Kao:
Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part I. Lecture Notes in Computer Science 8443, Springer 2014, ISBN 978-3-319-06607-3 [contents] - [e12]Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L. P. Chen, Hung-Yu Kao:
Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II. Lecture Notes in Computer Science 8444, Springer 2014, ISBN 978-3-319-06604-2 [contents] - [e11]Wen-Chih Peng, Haixun Wang, James Bailey, Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L. P. Chen:
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2014 International Workshops: DANTH, BDM, MobiSocial, BigEC, CloudSD, MSMV-MBI, SDA, DMDA-Health, ALSIP, SocNet, DMBIH, BigPMA,Tainan, Taiwan, May 13-16, 2014. Revised Selected Papers. Lecture Notes in Computer Science 8643, Springer 2014, ISBN 978-3-319-13185-6 [contents] - [i19]Wei Gao, Zhi-Hua Zhou:
Dropout Rademacher Complexity of Deep Neural Networks. CoRR abs/1402.3811 (2014) - [i18]Wang-Zhou Dai, Zhi-Hua Zhou:
Inductive Logic Boosting. CoRR abs/1402.6077 (2014) - [i17]Nan Li, Rong Jin, Zhi-Hua Zhou:
Top Rank Optimization in Linear Time. CoRR abs/1410.1462 (2014) - [i16]Miao Xu, Rong Jin, Zhi-Hua Zhou:
CUR Algorithm for Partially Observed Matrices. CoRR abs/1411.0860 (2014) - 2013
- [j116]Wei Gao, Zhi-Hua Zhou:
On the consistency of multi-label learning. Artif. Intell. 199-200: 22-44 (2013) - [j115]Wei Gao, Zhi-Hua Zhou:
On the doubt about margin explanation of boosting. Artif. Intell. 203: 1-18 (2013) - [j114]Chao Qian, Yang Yu, Zhi-Hua Zhou:
An analysis on recombination in multi-objective evolutionary optimization. Artif. Intell. 204: 99-119 (2013) - [j113]Min-Ling Zhang, Zhi-Hua Zhou:
Exploiting unlabeled data to enhance ensemble diversity. Data Min. Knowl. Discov. 26(1): 98-129 (2013) - [j112]Leting Wu, Xintao Wu, Aidong Lu, Zhi-Hua Zhou:
A spectral approach to detecting subtle anomalies in graphs. J. Intell. Inf. Syst. 41(2): 313-337 (2013) - [j111]Yufeng Li, Ivor W. Tsang, James T. Kwok, Zhi-Hua Zhou:
Convex and scalable weakly labeled SVMs. J. Mach. Learn. Res. 14(1): 2151-2188 (2013) - [j110]Shaowei Wang, Zhi-Hua Zhou, Mengyao Ge, Chonggang Wang:
Resource Allocation for Heterogeneous Cognitive Radio Networks with Imperfect Spectrum Sensing. IEEE J. Sel. Areas Commun. 31(3): 464-475 (2013) - [j109]Zhi-Hua Zhou, Wee Sun Lee, Steven C. H. Hoi, Wray L. Buntine, Hiroshi Motoda:
Introduction: special issue of selected papers of ACML 2012. Mach. Learn. 92(2-3): 221-223 (2013) - [j108]Nan Li, Ivor W. Tsang, Zhi-Hua Zhou:
Efficient Optimization of Performance Measures by Classifier Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 35(6): 1370-1382 (2013) - [j107]Xin Geng, Chao Yin, Zhi-Hua Zhou:
Facial Age Estimation by Learning from Label Distributions. IEEE Trans. Pattern Anal. Mach. Intell. 35(10): 2401-2412 (2013) - [j106]Fengyi Song, Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou:
A literature survey on robust and efficient eye localization in real-life scenarios. Pattern Recognit. 46(12): 3157-3173 (2013) - [j105]Jian-Sheng Wu, Zhi-Hua Zhou:
Sequence-Based Prediction of microRNA-Binding Residues in Proteins Using Cost-Sensitive Laplacian Support Vector Machines. IEEE ACM Trans. Comput. Biol. Bioinform. 10(3): 752-759 (2013) - [j104]Tianshi Chen, Yunji Chen, Qi Guo, Zhi-Hua Zhou, Ling Li, Zhiwei Xu:
Effective and efficient microprocessor design space exploration using unlabeled design configurations. ACM Trans. Intell. Syst. Technol. 5(1): 20:1-20:18 (2013) - [j103]Rong Jin, Tianbao Yang, Mehrdad Mahdavi, Yufeng Li, Zhi-Hua Zhou:
Improved Bounds for the Nyström Method With Application to Kernel Classification. IEEE Trans. Inf. Theory 59(10): 6939-6949 (2013) - [j102]Xiangnan Kong, Michael K. Ng, Zhi-Hua Zhou:
Transductive Multilabel Learning via Label Set Propagation. IEEE Trans. Knowl. Data Eng. 25(3): 704-719 (2013) - [c155]Miao Xu, Yufeng Li, Zhi-Hua Zhou:
Multi-Label Learning with PRO Loss. AAAI 2013: 998-1004 - [c154]Wei Wang, Zhi-Hua Zhou:
Co-Training with Insufficient Views. ACML 2013: 467-482 - [c153]Xu-Ying Liu, Qian-Qian Li, Zhi-Hua Zhou:
Learning Imbalanced Multi-class Data with Optimal Dichotomy Weights. ICDM 2013: 478-487 - [c152]Sheng-Jun Huang, Zhi-Hua Zhou:
Active Query Driven by Uncertainty and Diversity for Incremental Multi-label Learning. ICDM 2013: 1079-1084 - [c151]Wei Gao, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou:
One-Pass AUC Optimization. ICML (3) 2013: 906-914 - [c150]Zhi-Hua Zhou:
Exploiting Label Relationship in Multi-Label Learning. UDM@IJCAI 2013: 1 - [c149]Wei Gao, Zhi-Hua Zhou:
Uniform Convergence, Stability and Learnability for Ranking Problems. IJCAI 2013: 1337-1343 - [c148]Cam-Tu Nguyen, De-Chuan Zhan, Zhi-Hua Zhou:
Multi-Modal Image Annotation with Multi-Instance Multi-Label LDA. IJCAI 2013: 1558-1564 - [c147]Shu-Jun Yang, Yuan Jiang, Zhi-Hua Zhou:
Multi-Instance Multi-Label Learning with Weak Label. IJCAI 2013: 1862-1868 - [c146]Yang Yu, Xin Yao, Zhi-Hua Zhou:
On the Approximation Ability of Evolutionary Optimization with Application to Minimum Set Cover: Extended Abstract. IJCAI 2013: 3190-3194 - [c145]Nan Li, Zhi-Hua Zhou:
Selective Ensemble of Classifier Chains. MCS 2013: 146-156 - [c144]Miao Xu, Rong Jin, Zhi-Hua Zhou:
Speedup Matrix Completion with Side Information: Application to Multi-Label Learning. NIPS 2013: 2301-2309 - [c143]Chao Chen, Daqing Zhang, Zhi-Hua Zhou, Nan Li, Tülin Atmaca, Shijian Li:
B-Planner: Night bus route planning using large-scale taxi GPS traces. PerCom 2013: 225-233 - [c142]Qing Da, Yang Yu, Zhi-Hua Zhou:
Self-Practice Imitation Learning from Weak Policy. PSL 2013: 9-20 - [e10]Changyin Sun, Fang Fang, Zhi-Hua Zhou, Wankou Yang, Zhiyong Liu:
Intelligence Science and Big Data Engineering - 4th International Conference, IScIDE 2013, Beijing, China, July 31 - August 2, 2013, Revised Selected Papers. Lecture Notes in Computer Science 8261, Springer 2013, ISBN 978-3-642-42056-6 [contents] - [e9]Zhi-Hua Zhou, Fabio Roli, Josef Kittler:
Multiple Classifier Systems, 11th International Workshop, MCS 2013, Nanjing, China, May 15-17, 2013. Proceedings. Lecture Notes in Computer Science 7872, Springer 2013, ISBN 978-3-642-38066-2 [contents] - [e8]Benoit Huet, Chong-Wah Ngo, Jinhui Tang, Zhi-Hua Zhou, Alexander G. Hauptmann, Shuicheng Yan:
Advances in Multimedia Information Processing - PCM 2013 - 14th Pacific-Rim Conference on Multimedia, Nanjing, China, December 13-16, 2013. Proceedings. Lecture Notes in Computer Science 8294, Springer 2013, ISBN 978-3-319-03730-1 [contents] - [e7]Zhi-Hua Zhou, Friedhelm Schwenker:
Partially Supervised Learning - Second IAPR International Workshop, PSL 2013, Nanjing, China, May 13-14, 2013 Revised Selected Papers. Lecture Notes in Computer Science 8183, Springer 2013, ISBN 978-3-642-40704-8 [contents] - [i15]Yufeng Li, Ivor W. Tsang, James T. Kwok, Zhi-Hua Zhou:
Convex and Scalable Weakly Labeled SVMs. CoRR abs/1303.1271 (2013) - [i14]Wei Gao, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou:
One-Pass AUC Optimization. CoRR abs/1305.1363 (2013) - [i13]Sheng-Jun Huang, Zhi-Hua Zhou:
Fast Multi-Instance Multi-Label Learning. CoRR abs/1310.2049 (2013) - [i12]Teng Zhang, Zhi-Hua Zhou:
Large Margin Distribution Machine. CoRR abs/1311.0989 (2013) - [i11]Chao Qian, Yang Yu, Zhi-Hua Zhou:
Analyzing Evolutionary Optimization in Noisy Environments. CoRR abs/1311.4987 (2013) - 2012
- [j101]Zhi-Hua Zhou, Min-Ling Zhang, Sheng-Jun Huang, Yufeng Li:
Multi-instance multi-label learning. Artif. Intell. 176(1): 2291-2320 (2012) - [j100]Yang Yu, Xin Yao, Zhi-Hua Zhou:
On the approximation ability of evolutionary optimization with application to minimum set cover. Artif. Intell. 180-181: 20-33 (2012) - [j99]Ming Li, Hongyu Zhang, Rongxin Wu, Zhi-Hua Zhou:
Sample-based software defect prediction with active and semi-supervised learning. Autom. Softw. Eng. 19(2): 201-230 (2012) - [j98]Lei Yuan, Alexander Woodard, Shuiwang Ji, Yuan Jiang, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye:
Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval. BMC Bioinform. 13: 107 (2012) - [j97]Leting Wu, Xiaowei Ying, Xintao Wu, Aidong Lu, Zhi-Hua Zhou:
Examining spectral space of complex networks with positive and negative links. Int. J. Soc. Netw. Min. 1(1): 91-111 (2012) - [j96]Grigorios Tsoumakas, Min-Ling Zhang, Zhi-Hua Zhou:
Introduction to the special issue on learning from multi-label data. Mach. Learn. 88(1-2): 1-4 (2012) - [j95]Changyou Chen, Junping Zhang, Xuefang He, Zhi-Hua Zhou:
Non-Parametric Kernel Learning with robust pairwise constraints. Int. J. Mach. Learn. Cybern. 3(2): 83-96 (2012) - [j94]Ying-Xin Li, Shuiwang Ji, Sudhir Kumar, Jieping Ye, Zhi-Hua Zhou:
Drosophila Gene Expression Pattern Annotation through Multi-Instance Multi-Label Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 9(1): 98-112 (2012) - [j93]Steven C. H. Hoi, Rong Jin, Jinhui Tang, Zhi-Hua Zhou:
Introduction to the Special Section on Distance Metric Learning in Intelligent Systems. ACM Trans. Intell. Syst. Technol. 3(3): 52:1-52:2 (2012) - [j92]Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou:
Isolation-Based Anomaly Detection. ACM Trans. Knowl. Discov. Data 6(1): 3:1-3:39 (2012) - [j91]Yunyun Wang, Songcan Chen, Zhi-Hua Zhou:
New Semi-Supervised Classification Method Based on Modified Cluster Assumption. IEEE Trans. Neural Networks Learn. Syst. 23(5): 689-702 (2012) - [c141]Sheng-Jun Huang, Zhi-Hua Zhou:
Multi-Label Learning by Exploiting Label Correlations Locally. AAAI 2012: 949-955 - [c140]Yufeng Li, Ju-Hua Hu, Yuan Jiang, Zhi-Hua Zhou:
Towards Discovering What Patterns Trigger What Labels. AAAI 2012: 1012-1018 - [c139]Quannan Li, Xinggang Wang, Wei Wang, Yuan Jiang, Zhi-Hua Zhou, Zhuowen Tu:
Disagreement-Based Multi-system Tracking. ACCV Workshops (2) 2012: 320-334 - [c138]Bo Wang, Jiayan Jiang, Wei Wang, Zhi-Hua Zhou, Zhuowen Tu:
Unsupervised metric fusion by cross diffusion. CVPR 2012: 2997-3004 - [c137]Zhi-Hua Zhou:
Exploitation of label relationship in multi-label learning. GrC 2012: 19 - [c136]Shaowei Wang, Zhi-Hua Zhou, Mengyao Ge, Chonggang Wang:
Resource allocation for heterogeneous multiuser OFDM-based cognitive radio networks with imperfect spectrum sensing. INFOCOM 2012: 2264-2272 - [c135]Sheng-Jun Huang, Yang Yu, Zhi-Hua Zhou:
Multi-label hypothesis reuse. KDD 2012: 525-533 - [c134]Xin-Shun Xu, Yuan Jiang, Xiangyang Xue, Zhi-Hua Zhou:
Semi-supervised multi-instance multi-label learning for video annotation task. ACM Multimedia 2012: 737-740 - [c133]Tianbao Yang, Yufeng Li, Mehrdad Mahdavi, Rong Jin, Zhi-Hua Zhou:
Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison. NIPS 2012: 485-493 - [c132]T. Ryan Hoens, Qi Qian, Nitesh V. Chawla, Zhi-Hua Zhou:
Building Decision Trees for the Multi-class Imbalance Problem. PAKDD (1) 2012: 122-134 - [c131]Nan Li, Yang Yu, Zhi-Hua Zhou:
Diversity Regularized Ensemble Pruning. ECML/PKDD (1) 2012: 330-345 - [c130]Chao Qian, Yang Yu, Zhi-Hua Zhou:
On Algorithm-Dependent Boundary Case Identification for Problem Classes. PPSN (1) 2012: 62-71 - [c129]Guoqing Liu, Jianxin Wu, Zhi-Hua Zhou:
Key Instance Detection in Multi-Instance Learning. ACML 2012: 253-268 - [e6]Yanning Zhang, Zhi-Hua Zhou, Changshui Zhang, Ying Li:
Intelligent Science and Intelligent Data Engineering - Second Sino-foreign-interchange Workshop, IScIDE 2011, Xi'an, China, October 23-25, 2011, Revised Selected Papers. Lecture Notes in Computer Science 7202, Springer 2012, ISBN 978-3-642-31918-1 [contents] - [i10]Wei Gao, Zhi-Hua Zhou:
On the consistency of AUC Optimization. CoRR abs/1208.0645 (2012) - 2011
- [j90]Shaowei Wang, Fangjiang Huang, Zhi-Hua Zhou:
Fast Power Allocation Algorithm for Cognitive Radio Networks. IEEE Commun. Lett. 15(8): 845-847 (2011) - [j89]Yuan Jiang, Ming Li, Zhi-Hua Zhou:
Software Defect Detection with Rocus. J. Comput. Sci. Technol. 26(2): 328-342 (2011) - [j88]Liwei Wang, Masashi Sugiyama, Zhaoxiang Jing, Cheng Yang, Zhi-Hua Zhou, Jufu Feng:
A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin. J. Mach. Learn. Res. 12: 1835-1863 (2011) - [j87]Jian Cheng, Jinjun Wang, Shuqiang Jiang, Zhi-Hua Zhou, Edwin R. Hancock:
Special edition on semi-supervised learning for visual content analysis and understanding. Pattern Recognit. 44(10-11): 2242-2243 (2011) - [j86]Zhi-Hua Zhou:
A conversation with Professor Zhi-Hua Zhou. SIGKDD Explor. 13(2): 101 (2011) - [j85]Jun Du, Charles X. Ling, Zhi-Hua Zhou:
When Does Cotraining Work in Real Data? IEEE Trans. Knowl. Data Eng. 23(5): 788-799 (2011) - [j84]Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou:
Spectral Clustering on Multiple Manifolds. IEEE Trans. Neural Networks 22(7): 1149-1161 (2011) - [j83]Junping Zhang, Qi Wang, Li He, Zhi-Hua Zhou:
Quantitative Analysis of Nonlinear Embedding. IEEE Trans. Neural Networks 22(12): 1987-1998 (2011) - [j82]Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou, Liang Wang:
Face Image Modeling by Multilinear Subspace Analysis With Missing Values. IEEE Trans. Syst. Man Cybern. Part B 41(3): 881-892 (2011) - [j81]Min-Ling Zhang, Zhi-Hua Zhou:
CoTrade: Confident Co-Training With Data Editing. IEEE Trans. Syst. Man Cybern. Part B 41(6): 1612-1626 (2011) - [c128]Yufeng Li, Zhi-Hua Zhou:
Improving Semi-Supervised Support Vector Machines Through Unlabeled Instances Selection. AAAI 2011: 386-391 - [c127]Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou:
Localized K-Flats. AAAI 2011: 525-530 - [c126]Chao Qian, Yang Yu, Zhi-Hua Zhou:
Collisions are helpful for computing unique input-output sequences. GECCO (Companion) 2011: 265-266 - [c125]Chao Qian, Yang Yu, Zhi-Hua Zhou:
An analysis on recombination in multi-objective evolutionary optimization. GECCO 2011: 2051-2058 - [c124]Daqing Zhang, Nan Li, Zhi-Hua Zhou, Chao Chen, Lin Sun, Shijian Li:
iBAT: detecting anomalous taxi trajectories from GPS traces. UbiComp 2011: 99-108 - [c123]Yong Ge, Hui Xiong, Chuanren Liu, Zhi-Hua Zhou:
A Taxi Driving Fraud Detection System. ICDM 2011: 181-190 - [c122]Wang-Zhou Dai, Yang Yu, Zhi-Hua Zhou:
Lifted-Rollout for Approximate Policy Iteration of Markov Decision Process. ICDM Workshops 2011: 689-696 - [c121]Yufeng Li, Zhi-Hua Zhou:
Towards Making Unlabeled Data Never Hurt. ICML 2011: 1081-1088 - [c120]Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou:
Local and Structural Consistency for Multi-Manifold Clustering. IJCAI 2011: 1559-1564 - [c119]Yang Yu, Yufeng Li, Zhi-Hua Zhou:
Diversity Regularized Machine. IJCAI 2011: 1603-1608 - [c118]Qi Guo, Tianshi Chen, Yunji Chen, Zhi-Hua Zhou, Weiwu Hu, Zhiwei Xu:
Effective and Efficient Microprocessor Design Space Exploration Using Unlabeled Design Configurations. IJCAI 2011: 1671-1677 - [c117]Leting Wu, Xiaowei Ying, Xintao Wu, Zhi-Hua Zhou:
Line Orthogonality in Adjacency Eigenspace with Application to Community Partition. IJCAI 2011: 2349-2354 - [c116]Zhi-Hua Zhou:
Cost-Sensitive Learning. MDAI 2011: 17-18 - [c115]Xin-Shun Xu, Xiangyang Xue, Zhi-Hua Zhou:
Ensemble multi-instance multi-label learning approach for video annotation task. ACM Multimedia 2011: 1153-1156 - [c114]Xin-Shun Xu, Yuan Jiang, Liang Peng, Xiangyang Xue, Zhi-Hua Zhou:
Ensemble approach based on conditional random field for multi-label image and video annotation. ACM Multimedia 2011: 1377-1380 - [c113]Leting Wu, Xiaowei Ying, Xintao Wu, Aidong Lu, Zhi-Hua Zhou:
Spectral Analysis of k-Balanced Signed Graphs. PAKDD (2) 2011: 1-12 - [c112]Xu-Ying Liu, Zhi-Hua Zhou:
Towards Cost-Sensitive Learning for Real-World Applications. PAKDD Workshops 2011: 494-505 - [c111]Zhi-Hua Zhou:
Unlabeled Data and Multiple Views. PSL 2011: 1-7 - [c110]Wei Gao, Zhi-Hua Zhou:
On the Consistency of Multi-Label Learning. COLT 2011: 341-358 - [i9]Yang Yu, Chao Qian, Zhi-Hua Zhou:
Towards Analyzing Crossover Operators in Evolutionary Search via General Markov Chain Switching Theorem. CoRR abs/1111.0907 (2011) - 2010
- [j80]Zhi-Hua Zhou, Jianxin Wu, Wei Tang:
Corrigendum to "Ensembling neural networks: Many could be better than all" [Artificial Intelligence 137 (1-2) (2002) 239-263]. Artif. Intell. 174(18): 1570 (2010) - [j79]Ming Li, Wei Wang, Zhi-Hua Zhou:
Exploiting remote learners in Internet environment with agents. Sci. China Inf. Sci. 53(1): 64-76 (2010) - [j78]Zhi-Hua Zhou, Xu-Ying Liu:
On Multi-Class Cost-Sensitive Learning. Comput. Intell. 26(3): 232-257 (2010) - [j77]Qiang Yang, Zhi-Hua Zhou, Wenji Mao, Wei Li, Nathan Nan Liu:
Social Learning. IEEE Intell. Syst. 25(4): 9-11 (2010) - [j76]Tu Bao Ho, Zhi-Hua Zhou, Hiroshi Motoda:
Editorial. Intell. Data Anal. 14(4): 437-438 (2010) - [j75]Zhi-Hua Zhou, Hang Li:
Preface. J. Comput. Sci. Technol. 25(4): 651-652 (2010) - [j74]Zhi-Hua Zhou, Ming Li:
Semi-supervised learning by disagreement. Knowl. Inf. Syst. 24(3): 415-439 (2010) - [j73]Yang Yu, Zhi-Hua Zhou:
A framework for modeling positive class expansion with single snapshot. Knowl. Inf. Syst. 25(2): 211-227 (2010) - [j72]Yin Zhang, Rong Jin, Zhi-Hua Zhou:
Understanding bag-of-words model: a statistical framework. Int. J. Mach. Learn. Cybern. 1(1-4): 43-52 (2010) - [j71]Yin Zhang, Zhi-Hua Zhou:
Cost-Sensitive Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 32(10): 1758-1769 (2010) - [j70]Yin Zhang, Zhi-Hua Zhou:
Multilabel dimensionality reduction via dependence maximization. ACM Trans. Knowl. Discov. Data 4(3): 14:1-14:21 (2010) - [j69]Yanwei Fu, Yanwen Guo, Yanshu Zhu, Feng Liu, Chuanming Song, Zhi-Hua Zhou:
Multi-View Video Summarization. IEEE Trans. Multim. 12(7): 717-729 (2010) - [j68]Jun Liu, Songcan Chen, Zhi-Hua Zhou, Xiaoyang Tan:
Generalized low-rank approximations of matrices revisited. IEEE Trans. Neural Networks 21(4): 621-632 (2010) - [c109]Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou:
Facial Age Estimation by Learning from Label Distributions. AAAI 2010: 451-456 - [c108]Yufeng Li, James T. Kwok, Zhi-Hua Zhou:
Cost-Sensitive Semi-Supervised Support Vector Machine. AAAI 2010: 500-505 - [c107]Yu-Yin Sun, Michael K. Ng, Zhi-Hua Zhou:
Multi-Instance Dimensionality Reduction. AAAI 2010: 587-592 - [c106]Yu-Yin Sun, Yin Zhang, Zhi-Hua Zhou:
Multi-Label Learning with Weak Label. AAAI 2010: 593-598 - [c105]Wei Gao, Zhi-Hua Zhou:
Approximation Stability and Boosting. ALT 2010: 59-73 - [c104]Yong Ge, Hui Xiong, Zhi-Hua Zhou, Hasan Timucin Ozdemir, Jannite Yu, Kuo Chu Lee:
Top-Eye: top-k evolving trajectory outlier detection. CIKM 2010: 1733-1736 - [c103]Min-Ling Zhang, Zhi-Hua Zhou:
Exploiting Unlabeled Data to Enhance Ensemble Diversity. ICDM 2010: 619-628 - [c102]Wei Wang, Zhi-Hua Zhou:
A New Analysis of Co-Training. ICML 2010: 1135-1142 - [c101]Xu-Ying Liu, Zhi-Hua Zhou:
Learning with cost intervals. KDD 2010: 403-412 - [c100]Zhi-Hua Zhou, Nan Li:
Multi-information Ensemble Diversity. MCS 2010: 134-144 - [c99]Sheng-Jun Huang, Rong Jin, Zhi-Hua Zhou:
Active Learning by Querying Informative and Representative Examples. NIPS 2010: 892-900 - [c98]Wei Wang, Zhi-Hua Zhou:
Multi-View Active Learning in the Non-Realizable Case. NIPS 2010: 2388-2396 - [c97]Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou:
On Detecting Clustered Anomalies Using SCiForest. ECML/PKDD (2) 2010: 274-290 - [c96]Yang Yu, Chao Qian, Zhi-Hua Zhou:
Towards Analyzing Recombination Operators in Evolutionary Search. PPSN (1) 2010: 144-153 - [c95]Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou:
Multi-manifold Clustering. PRICAI 2010: 280-291 - [i8]Yufeng Li, Zhi-Hua Zhou:
S4VM: Safe Semi-Supervised Support Vector Machine. CoRR abs/1005.1545 (2010) - [i7]Wei Wang, Zhi-Hua Zhou:
Multi-View Active Learning in the Non-Realizable Case. CoRR abs/1005.5581 (2010) - [i6]Wei Gao, Zhi-Hua Zhou:
The kth, Median and Average Margin Bounds for AdaBoost. CoRR abs/1009.3613 (2010) - [i5]Yang Yu, Xin Yao, Zhi-Hua Zhou:
Evolutionary Algorithms as Guaranteed Approximation Optimizers. CoRR abs/1011.4028 (2010) - [i4]Nan Li, Ivor W. Tsang, Zhi-Hua Zhou:
Efficiently Learning Nonlinear Classifiers for Domain Specific Performance Measures. CoRR abs/1012.0930 (2010)
2000 – 2009
- 2009
- [j67]Min-Ling Zhang, Zhi-Hua Zhou:
Multi-instance clustering with applications to multi-instance prediction. Appl. Intell. 31(1): 47-68 (2009) - [j66]Shuiwang Ji, Ying-Xin Li, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye:
A bag-of-words approach for Drosophila gene expression pattern annotation. BMC Bioinform. 10 (2009) - [j65]Tu Bao Ho, Zhi-Hua Zhou, Hiroshi Motoda:
Preface. Int. J. Softw. Informatics 3(1): 1-2 (2009) - [j64]Ming Li, Hang Li, Zhi-Hua Zhou:
Semi-supervised document retrieval. Inf. Process. Manag. 45(3): 341-355 (2009) - [j63]Zhi-Hua Zhou, Hang Li, Qiang Yang:
Editorial: special issue on selected papers of PAKDD 2007. Knowl. Inf. Syst. 19(2): 131-132 (2009) - [j62]Yuan Jiang, Ming Li, Zhi-Hua Zhou:
Mining extremely small data sets with application to software reuse. Softw. Pract. Exp. 39(4): 423-440 (2009) - [j61]Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Jun Liu:
Face recognition under occlusions and variant expressions with partial similarity. IEEE Trans. Inf. Forensics Secur. 4(2): 217-230 (2009) - [j60]Xiao-Bing Xue, Zhi-Hua Zhou:
Distributional Features for Text Categorization. IEEE Trans. Knowl. Data Eng. 21(3): 428-442 (2009) - [j59]Yanwen Guo, Feng Liu, Jian Shi, Zhi-Hua Zhou, Michael Gleicher:
Image Retargeting Using Mesh Parametrization. IEEE Trans. Multim. 11(5): 856-867 (2009) - [j58]Xu-Ying Liu, Jianxin Wu, Zhi-Hua Zhou:
Exploratory Undersampling for Class-Imbalance Learning. IEEE Trans. Syst. Man Cybern. Part B 39(2): 539-550 (2009) - [c94]Zhi-Hua Zhou:
A Framework for Machine Learning with Ambiguous Objects. AMT 2009: 6 - [c93]Zhi-Hua Zhou:
A Framework for Machine Learning with Ambiguous Objects. Brain Informatics 2009: 6 - [c92]Rong Jin, Shijun Wang, Zhi-Hua Zhou:
Learning a distance metric from multi-instance multi-label data. CVPR 2009: 896-902 - [c91]Xiaoyang Tan, Fengyi Song, Zhi-Hua Zhou, Songcan Chen:
Enhanced Pictorial Structures for precise eye localization under incontrolled conditions. CVPR 2009: 1621-1628 - [c90]Nan Li, Yang Yu, Zhi-Hua Zhou:
Semi-naive Exploitation of One-Dependence Estimators. ICDM 2009: 278-287 - [c89]Li-Ping Liu, Yuan Jiang, Zhi-Hua Zhou:
Least Square Incremental Linear Discriminant Analysis. ICDM 2009: 298-306 - [c88]Yufeng Li, James T. Kwok, Zhi-Hua Zhou:
Semi-supervised learning using label mean. ICML 2009: 633-640 - [c87]De-Chuan Zhan, Ming Li, Yufeng Li, Zhi-Hua Zhou:
Learning instance specific distances using metric propagation. ICML 2009: 1225-1232 - [c86]Zhi-Hua Zhou, Yu-Yin Sun, Yufeng Li:
Multi-instance learning by treating instances as non-I.I.D. samples. ICML 2009: 1249-1256 - [c85]Ming Li, Xiao-Bing Xue, Zhi-Hua Zhou:
Exploiting Multi-Modal Interactions: A Unified Framework. IJCAI 2009: 1120-1125 - [c84]Yin Zhang, Zhi-Hua Zhou:
Non-Metric Label Propagation. IJCAI 2009: 1357-1362 - [c83]Ying-Xin Li, Shuiwang Ji, Sudhir Kumar, Jieping Ye, Zhi-Hua Zhou:
DrosophilaGene Expression Pattern Annotation through Multi-Instance Multi-Label Learning. IJCAI 2009: 1445-1450 - [c82]Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye:
Drosophila gene expression pattern annotation using sparse features and term-term interactions. KDD 2009: 407-416 - [c81]Nan Li, Zhi-Hua Zhou:
Selective Ensemble under Regularization Framework. MCS 2009: 293-303 - [c80]Zhi-Hua Zhou:
When Semi-supervised Learning Meets Ensemble Learning. MCS 2009: 529-538 - [c79]Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou, Liang Wang:
Face image modeling by multilinear subspace analysis with missing values. ACM Multimedia 2009: 629-632 - [c78]Zhi-Hua Zhou, Michael K. Ng, Qiao-Qiao She, Yuan Jiang:
Budget Semi-supervised Learning. PAKDD 2009: 588-595 - [c77]Charles X. Ling, Jun Du, Zhi-Hua Zhou:
When does Co-training Work in Real Data?. PAKDD 2009: 596-603 - [c76]Yufeng Li, James T. Kwok, Ivor W. Tsang, Zhi-Hua Zhou:
A Convex Method for Locating Regions of Interest with Multi-instance Learning. ECML/PKDD (2) 2009: 15-30 - [c75]Yufeng Li, Ivor W. Tsang, James Tin-Yau Kwok, Zhi-Hua Zhou:
Tighter and Convex Maximum Margin Clustering. AISTATS 2009: 344-351 - [e5]Zhi-Hua Zhou, Takashi Washio:
Advances in Machine Learning, First Asian Conference on Machine Learning, ACML 2009, Nanjing, China, November 2-4, 2009. Proceedings. Lecture Notes in Computer Science 5828, Springer 2009, ISBN 978-3-642-05223-1 [contents] - [r3]Zhi-Hua Zhou:
Ensemble Learning. Encyclopedia of Biometrics 2009: 270-273 - [r2]Zhi-Hua Zhou:
Boosting. Encyclopedia of Database Systems 2009: 260-263 - [r1]Zhi-Hua Zhou:
Ensemble. Encyclopedia of Database Systems 2009: 988-991 - [i3]Min-Ling Zhang, Zhi-Hua Zhou:
Classifier Ensemble with Unlabeled Data. CoRR abs/0909.3593 (2009) - 2008
- [j57]Yang Yu, Zhi-Hua Zhou:
A new approach to estimating the expected first hitting time of evolutionary algorithms. Artif. Intell. 172(15): 1809-1832 (2008) - [j56]Fei Tony Liu, Kai Ming Ting, Yang Yu, Zhi-Hua Zhou:
Spectrum of Variable-Random Trees. J. Artif. Intell. Res. 32: 355-384 (2008) - [j55]Xindong Wu, Vipin Kumar, J. Ross Quinlan, Joydeep Ghosh, Qiang Yang, Hiroshi Motoda, Geoffrey J. McLachlan, Angus F. M. Ng, Bing Liu, Philip S. Yu, Zhi-Hua Zhou, Michael S. Steinbach, David J. Hand, Dan Steinberg:
Top 10 algorithms in data mining. Knowl. Inf. Syst. 14(1): 1-37 (2008) - [j54]Xin Geng, Zhi-Hua Zhou, Kate Smith-Miles:
Correction to "Automatic Age Estimation Based on Facial Aging Patterns". IEEE Trans. Pattern Anal. Mach. Intell. 30(2): 368 (2008) - [j53]Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou:
Constraint Score: A new filter method for feature selection with pairwise constraints. Pattern Recognit. 41(5): 1440-1451 (2008) - [j52]Xin Geng, Zhi-Hua Zhou, Kate Smith-Miles:
Individual Stable Space: An Approach to Face Recognition Under Uncontrolled Conditions. IEEE Trans. Neural Networks 19(8): 1354-1368 (2008) - [j51]Xiao-Bing Xue, Zhi-Hua Zhou, Zhongfei (Mark) Zhang:
Improving Web search using image snippets. ACM Trans. Internet Techn. 8(4): 21:1-21:28 (2008) - [c74]Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou, Qiang Yang:
Constraint Projections for Ensemble Learning. AAAI 2008: 758-763 - [c73]Yin Zhang, Zhi-Hua Zhou:
Multi-Label Dimensionality Reduction via Dependence Maximization. AAAI 2008: 1503-1505 - [c72]Yang Yu, Zhi-Hua Zhou:
On the usefulness of infeasible solutions in evolutionary search: A theoretical study. IEEE Congress on Evolutionary Computation 2008: 835-840 - [c71]Liwei Wang, Masashi Sugiyama, Cheng Yang, Zhi-Hua Zhou, Jufu Feng:
On the Margin Explanation of Boosting Algorithms. COLT 2008: 479-490 - [c70]Yin Zhang, Zhi-Hua Zhou:
Cost-sensitive face recognition. CVPR 2008 - [c69]Zhi-Hua Zhou:
Semi-supervised Learning by Disagreement. GrC 2008: 93 - [c68]Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou:
Isolation Forest. ICDM 2008: 413-422 - [c67]Li-Ping Liu, Yang Yu, Yuan Jiang, Zhi-Hua Zhou:
TEFE: A Time-Efficient Approach to Feature Extraction. ICDM 2008: 423-432 - [c66]Min-Ling Zhang, Zhi-Hua Zhou:
M3MIML: A Maximum Margin Method for Multi-instance Multi-label Learning. ICDM 2008: 688-697 - [c65]Wei Wang, Zhi-Hua Zhou:
On multi-view active learning and the combination with semi-supervised learning. ICML 2008: 1152-1159 - [c64]Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou:
Facial age estimation by nonlinear aging pattern subspace. ACM Multimedia 2008: 721-724 - [c63]Ming Li, Zhongfei (Mark) Zhang, Zhi-Hua Zhou:
Mining Bulletin Board Systems Using Community Generation. PAKDD 2008: 209-221 - [c62]Yang Yu, Zhi-Hua Zhou:
A Framework for Modeling Positive Class Expansion with Single Snapshot. PAKDD 2008: 429-440 - [e4]Carlos Soares, Yonghong Peng, Jun Meng, Takashi Washio, Zhi-Hua Zhou:
Applications of Data Mining in E-Business and Finance. Frontiers in Artificial Intelligence and Applications 177, IOS Press 2008, ISBN 978-1-58603-890-8 [contents] - [e3]Tu Bao Ho, Zhi-Hua Zhou:
PRICAI 2008: Trends in Artificial Intelligence, 10th Pacific Rim International Conference on Artificial Intelligence, Hanoi, Vietnam, December 15-19, 2008. Proceedings. Lecture Notes in Computer Science 5351, Springer 2008, ISBN 978-3-540-89196-3 [contents] - [i2]Zhi-Hua Zhou, Yu-Yin Sun, Yufeng Li:
Multi-Instance Learning by Treating Instances As Non-I.I.D. Samples. CoRR abs/0807.1997 (2008) - [i1]Zhi-Hua Zhou, Min-Ling Zhang, Sheng-Jun Huang, Yufeng Li:
MIML: A Framework for Learning with Ambiguous Objects. CoRR abs/0808.3231 (2008) - 2007
- [j50]Ruqian Lu, Zhi-Hua Zhou:
Guest Editorial to the Special Issue on Advances of Artificial Intelligence and Knowledge Engineering in China. Comput. J. 50(4): 377 (2007) - [j49]Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou:
Entropy-Inspired Competitive Clustering Algorithms. Int. J. Softw. Informatics 1(1): 67-84 (2007) - [j48]Yang Yu, De-Chuan Zhan, Xu-Ying Liu, Ming Li, Zhi-Hua Zhou:
Predicting Future Customers via Ensembling Gradually Expanded Trees. Int. J. Data Warehous. Min. 3(2): 12-21 (2007) - [j47]Zhi-Hua Zhou, Min-Ling Zhang:
Solving multi-instance problems with classifier ensemble based on constructive clustering. Knowl. Inf. Syst. 11(2): 155-170 (2007) - [j46]Xin Geng, Zhi-Hua Zhou, Kate Smith-Miles:
Automatic Age Estimation Based on Facial Aging Patterns. IEEE Trans. Pattern Anal. Mach. Intell. 29(12): 2234-2240 (2007) - [j45]Min-Ling Zhang, Zhi-Hua Zhou:
ML-KNN: A lazy learning approach to multi-label learning. Pattern Recognit. 40(7): 2038-2048 (2007) - [j44]Zhi-Hua Zhou, Ming Li:
Semisupervised Regression with Cotraining-Style Algorithms. IEEE Trans. Knowl. Data Eng. 19(11): 1479-1493 (2007) - [j43]Ming Li, Zhi-Hua Zhou:
Improve Computer-Aided Diagnosis With Machine Learning Techniques Using Undiagnosed Samples. IEEE Trans. Syst. Man Cybern. Part A 37(6): 1088-1098 (2007) - [c61]Min-Ling Zhang, Zhi-Hua Zhou:
Multi-Label Learning by Instance Differentiation. AAAI 2007: 669-674 - [c60]Zhi-Hua Zhou, De-Chuan Zhan, Qiang Yang:
Semi-Supervised Learning with Very Few Labeled Training Examples. AAAI 2007: 675-680 - [c59]Zhi-Hua Zhou:
Mining Ambiguous Data with Multi-instance Multi-label Representation. ADMA 2007: 1 - [c58]Jun Liu, Songcan Chen, Zhi-Hua Zhou, Xiaoyang Tan:
Single Image Subspace for Face Recognition. AMFG 2007: 205-219 - [c57]Xiao-Lin Li, Zhi-Hua Zhou:
Structure Learning of Probabilistic Relational Models from Incomplete Relational Data. ECML 2007: 214-225 - [c56]Wei Wang, Zhi-Hua Zhou:
Analyzing Co-training Style Algorithms. ECML 2007: 454-465 - [c55]Yang Yu, Zhi-Hua Zhou, Kai Ming Ting:
Cocktail Ensemble for Regression. ICDM 2007: 721-726 - [c54]Zhi-Hua Zhou, Jun-Ming Xu:
On the relation between multi-instance learning and semi-supervised learning. ICML 2007: 1167-1174 - [c53]Zhi-Hua Zhou, Hong-Bin Dai:
Exploiting Image Contents in Web Search. IJCAI 2007: 2922-2927 - [c52]Carlos Soares, Yonghong Peng, Jun Meng, Takashi Washio, Zhi-Hua Zhou:
Applications of Data Mining in E-Business Finance: Introduction. DMBiz@PAKDD 2007: 1-9 - [c51]Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen:
Semi-Supervised Dimensionality Reduction. SDM 2007: 629-634 - [e2]Zhi-Hua Zhou, Hang Li, Qiang Yang:
Advances in Knowledge Discovery and Data Mining, 11th Pacific-Asia Conference, PAKDD 2007, Nanjing, China, May 22-25, 2007, Proceedings. Lecture Notes in Computer Science 4426, Springer 2007, ISBN 978-3-540-71700-3 [contents] - [e1]Takashi Washio, Zhi-Hua Zhou, Joshua Zhexue Huang, Xiaohua Hu, Jinyan Li, Chao Xie, Jieyue He, Deqing Zou, Kuan-Ching Li, Mário M. Freire:
Emerging Technologies in Knowledge Discovery and Data Mining, PAKDD 2007, International Workshops, Nanjing, China, May 22-25, 2007, Revised Selected Papers. Lecture Notes in Computer Science 4819, Springer 2007, ISBN 978-3-540-77016-9 [contents] - 2006
- [j42]Xin Geng, Zhi-Hua Zhou:
Image Region Selection and Ensemble for Face Recognition. J. Comput. Sci. Technol. 21(1): 116-125 (2006) - [j41]Zhi-Hua Zhou:
Multi-Instance Learning from Supervised View. J. Comput. Sci. Technol. 21(5): 800-809 (2006) - [j40]Zhi-Hua Zhou, Wei Tang:
Clusterer ensemble. Knowl. Based Syst. 19(1): 77-83 (2006) - [j39]Arif Ghafoor, Zhongfei (Mark) Zhang, Michael S. Lew, Zhi-Hua Zhou:
Guest Editors' introduction to the special issue: machine learning approaches to multimedia information retrieval. Multim. Syst. 12(1): 1-2 (2006) - [j38]Min-Ling Zhang, Zhi-Hua Zhou:
Adapting RBF Neural Networks to Multi-Instance Learning. Neural Process. Lett. 23(1): 1-26 (2006) - [j37]Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou:
Learning the kernel parameters in kernel minimum distance classifier. Pattern Recognit. 39(1): 133-135 (2006) - [j36]Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen:
Diagonal principal component analysis for face recognition. Pattern Recognit. 39(1): 140-142 (2006) - [j35]Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang:
Face recognition from a single image per person: A survey. Pattern Recognit. 39(9): 1725-1745 (2006) - [j34]Zhi-Hua Zhou, Xu-Ying Liu:
Training Cost-Sensitive Neural Networks with Methods Addressing the Class Imbalance Problem. IEEE Trans. Knowl. Data Eng. 18(1): 63-77 (2006) - [j33]Min-Ling Zhang, Zhi-Hua Zhou:
Multi-Label Neural Networks with Applications to Functional Genomics and Text Categorization. IEEE Trans. Knowl. Data Eng. 18(10): 1338-1351 (2006) - [j32]Zhi-Hua Zhou, Ke-Jia Chen, Hong-Bin Dai:
Enhancing relevance feedback in image retrieval using unlabeled data. ACM Trans. Inf. Syst. 24(2): 219-244 (2006) - [c50]Yang Yu, Zhi-Hua Zhou:
A New Approach to Estimating the Expected First Hitting Time of Evolutionary Algorithms. AAAI 2006: 555-560 - [c49]Zhi-Hua Zhou, Xu-Ying Liu:
On Multi-Class Cost-Sensitive Learning. AAAI 2006: 567-572 - [c48]Xiao-Bing Xue, Zhi-Hua Zhou, Zhongfei (Mark) Zhang:
Improve Web Search Using Image Snippets. AAAI 2006: 1431-1437 - [c47]Xiaoyang Tan, Songcan Chen, Jun Li, Zhi-Hua Zhou:
Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion. CVPR (1) 2006: 138-145 - [c46]Xiao-Bing Xue, Zhi-Hua Zhou:
Distributional Features for Text Categorization. ECML 2006: 497-508 - [c45]Xu-Ying Liu, Jianxin Wu, Zhi-Hua Zhou:
Exploratory Under-Sampling for Class-Imbalance Learning. ICDM 2006: 965-969 - [c44]Xu-Ying Liu, Zhi-Hua Zhou:
The Influence of Class Imbalance on Cost-Sensitive Learning: An Empirical Study. ICDM 2006: 970-974 - [c43]Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen:
Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels. ICDM 2006: 1178-1182 - [c42]Zhi-Hua Zhou, Hong-Bin Dai:
Query-Sensitive Similarity Measure for Content-Based Image Retrieval. ICDM 2006: 1211-1215 - [c41]Junping Zhang, Li He, Zhi-Hua Zhou:
Ensemble-Based Discriminant Manifold Learning for Face Recognition. ICNC (1) 2006: 29-38 - [c40]Xin Geng, Zhi-Hua Zhou, Yu Zhang, Gang Li, Honghua Dai:
Learning from facial aging patterns for automatic age estimation. ACM Multimedia 2006: 307-316 - [c39]Zhi-Hua Zhou, Min-Ling Zhang:
Multi-Instance Multi-Label Learning with Application to Scene Classification. NIPS 2006: 1609-1616 - [c38]Yuan Jiang, Ming Li, Zhi-Hua Zhou:
Generation of Comprehensible Hypotheses from Gene Expression Data. BioDM 2006: 116-123 - [c37]De-Chuan Zhan, Zhi-Hua Zhou:
Neighbor Line-Based Locally Linear Embedding. PAKDD 2006: 806-815 - [c36]Zhi-Hua Zhou:
Learning with Unlabeled Data and Its Application to Image Retrieval. PRICAI 2006: 5-10 - [c35]Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen:
Non-negative Matrix Factorization on Kernels. PRICAI 2006: 404-412 - [c34]Xin Geng, Zhi-Hua Zhou, Honghua Dai:
Uncontrolled Face Recognition by Individual Stable Neural Network. PRICAI 2006: 553-562 - [c33]Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou:
Recognizing Face or Object from a Single Image: Linear vs. Kernel Methods on 2D Patterns. SSPR/SPR 2006: 889-897 - 2005
- [j31]Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou:
A new face recognition method based on SVD perturbation for single example image per person. Appl. Math. Comput. 163(2): 895-907 (2005) - [j30]Zhi-Hua Zhou, Kai Jiang, Ming Li:
Multi-Instance Learning Based Web Mining. Appl. Intell. 22(2): 135-147 (2005) - [j29]Songcan Chen, Lei Chen, Zhi-Hua Zhou:
A unified SWSI-KAMs framework and performance evaluation on face recognition. Neurocomputing 68: 54-69 (2005) - [j28]Daoqiang Zhang, Zhi-Hua Zhou:
(2D)2PCA: Two-directional two-dimensional PCA for efficient face representation and recognition. Neurocomputing 69(1-3): 224-231 (2005) - [j27]Zhi-Hua Zhou, Yang Yu:
Adapt Bagging to Nearest Neighbor Classifiers. J. Comput. Sci. Technol. 20(1): 48-54 (2005) - [j26]Zhi-Hua Zhou, Ming Li:
Tri-Training: Exploiting Unlabeled Data Using Three Classifiers. IEEE Trans. Knowl. Data Eng. 17(11): 1529-1541 (2005) - [j25]Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang:
Recognizing partially occluded, expression variant faces from single training image per person with SOM and soft k-NN ensemble. IEEE Trans. Neural Networks 16(4): 875-886 (2005) - [j24]Zhi-Hua Zhou, Yang Yu:
Ensembling local learners ThroughMultimodal perturbation. IEEE Trans. Syst. Man Cybern. Part B 35(4): 725-735 (2005) - [j23]Xin Geng, De-Chuan Zhan, Zhi-Hua Zhou:
Supervised nonlinear dimensionality reduction for visualization and classification. IEEE Trans. Syst. Man Cybern. Part B 35(6): 1098-1107 (2005) - [c32]Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou:
Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition. AMFG 2005: 350-363 - [c31]Zhi-Hua Zhou, Xiao-Bing Xue, Yuan Jiang:
Locating Regions of Interest in CBIR with Multi-instance Learning Techniques. Australian Conference on Artificial Intelligence 2005: 92-101 - [c30]Min-Ling Zhang, Zhi-Hua Zhou:
A k-nearest neighbor based algorithm for multi-label classification. GrC 2005: 718-721 - [c29]Yu-Bin Yang, Shifu Chen, Zhi-Hua Zhou, Hui Lin, Yukun Ye:
An Intelligent Medical Image Understanding Method Using Two-Tier Neural Network Ensembles. IEA/AIE 2005: 616-618 - [c28]Zhi-Hua Zhou, Ming Li:
Semi-Supervised Regression with Co-Training. IJCAI 2005: 908-916 - [c27]Ning Li, Huajie Zhou, Jinjiang Ling, Zhi-Hua Zhou:
Spiculated Lesion Detection in Digital Mammogram Based on Artificial Neural Network Ensemble. ISNN (3) 2005: 790-795 - [c26]Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang:
Feature Selection for High Dimensional Face Image Using Self-organizing Maps. PAKDD 2005: 500-504 - [c25]Ming Li, Zhi-Hua Zhou:
SETRED: Self-training with Editing. PAKDD 2005: 611-621 - [c24]Yuan Jiang, Jinjiang Ling, Gang Li, Honghua Dai, Zhi-Hua Zhou:
Dependency Bagging. RSFDGrC (1) 2005: 491-500 - 2004
- [j22]Zhi-Hua Zhou, Ruqian Lu:
Artificial intelligence in medicine in China. Artif. Intell. Medicine 32(1): 1-2 (2004) - [j21]Zhi-Hua Zhou:
Rule Extraction: Using Neural Networks or for Neural Networks? J. Comput. Sci. Technol. 19(2): 249-253 (2004) - [j20]Min-Ling Zhang, Zhi-Hua Zhou:
Improve Multi-Instance Neural Networks through Feature Selection. Neural Process. Lett. 19(1): 1-10 (2004) - [j19]Yuan Jiang, Zhi-Hua Zhou:
SOM Ensemble-Based Image Segmentation. Neural Process. Lett. 20(3): 171-178 (2004) - [j18]Zhi-Hua Zhou, Xin Geng:
Projection functions for eye detection. Pattern Recognit. 37(5): 1049-1056 (2004) - [j17]Songcan Chen, Jun Liu, Zhi-Hua Zhou:
Making FLDA applicable to face recognition with one sample per person. Pattern Recognit. 37(7): 1553-1555 (2004) - [j16]Songcan Chen, Daoqiang Zhang, Zhi-Hua Zhou:
Enhanced (PC)2 A for face recognition with one training image per person. Pattern Recognit. Lett. 25(10): 1173-1181 (2004) - [j15]Zhi-Hua Zhou, Yuan Jiang:
NeC4.5: Neural Ensemble Based C4.5. IEEE Trans. Knowl. Data Eng. 16(6): 770-773 (2004) - [c23]Yang Gao, Joshua Zhexue Huang, Hongqiang Rong, Zhi-Hua Zhou:
Meta-game Equilibrium for Multi-agent Reinforcement Learning. Australian Conference on Artificial Intelligence 2004: 930-936 - [c22]Zhi-Hua Zhou, Ke-Jia Chen, Yuan Jiang:
Exploiting Unlabeled Data in Content-Based Image Retrieval. ECML 2004: 525-536 - [c21]Min-Ling Zhang, Zhi-Hua Zhou:
Ensembles of Multi-Instance Neural Networks. Intelligent Information Processing 2004: 471-474 - [c20]Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou:
Fuzzy-Kernel Learning Vector Quantization. ISNN (1) 2004: 180-185 - [c19]Yuan Jiang, Zhi-Hua Zhou:
Editing Training Data for kNN Classifiers with Neural Network Ensemble. ISNN (1) 2004: 356-361 - [c18]Jun Liu, Songcan Chen, Zhi-Hua Zhou:
Progressive Principal Component Analysis. ISNN (1) 2004: 768-773 - [c17]Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang:
Robust Face Recognition from a Single Training Image per Person with Kernel-Based SOM-Face. ISNN (1) 2004: 858-863 - [c16]Honghua Dai, Gang Li, Zhi-Hua Zhou:
Ensembling MML Causal Discovery. PAKDD 2004: 260-271 - [c15]Zhi-Hua Zhou, Dan Wei, Gang Li, Honghua Dai:
On the Size of Training Set and the Benefit from Ensemble. PAKDD 2004: 298-307 - [c14]Junping Zhang, Huanxing Shen, Zhi-Hua Zhou:
Unified Locally Linear Embedding and Linear Discriminant Analysis Algorithm (ULLELDA) for Face Recognition. SINOBIOMETRICS 2004: 296-304 - [c13]Junping Zhang, Li He, Zhi-Hua Zhou:
Analyzing Magnification Factors and Principal Spread Directions in Manifold Learning. WSC 2004: 651-664 - 2003
- [j14]Zhi-Hua Zhou:
Three perspectives of data mining. Artif. Intell. 143(1): 139-146 (2003) - [j13]Zhi-Hua Zhou, Yuan Jiang, Shifu Chen:
Extracting symbolic rules from trained neural network ensembles. AI Commun. 16(1): 3-15 (2003) - [j12]Zhi-Hua Zhou, Xue-Hua Shen:
Virtual Creatures Controlled by Developmental and Evolutionary CPM Neural Networks. Intell. Autom. Soft Comput. 9(1): 23-30 (2003) - [j11]Zhi-Hua Zhou, Shifu Chen:
Evolving Fault-Tolerant Neural Networks. Neural Comput. Appl. 11(3-4): 156-160 (2003) - [j10]Jianxin Wu, Zhi-Hua Zhou:
Efficient face candidates selector for face detection. Pattern Recognit. 36(5): 1175-1186 (2003) - [j9]Zhi-Hua Zhou, Yuan Jiang:
Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble. IEEE Trans. Inf. Technol. Biomed. 7(1): 37-42 (2003) - [c12]Zhi-Hua Zhou, Min-Ling Zhang:
Ensembles of Multi-instance Learners. ECML 2003: 492-502 - [c11]Zhi-Hua Zhou, Min-Ling Zhang, Ke-Jia Chen:
A Novel Bag Generator for Image Database Retrieval With Multi-Instance Learning Techniques. ICTAI 2003: 565-569 - [c10]Zhi-Hua Zhou, Wei Tang:
Selective Ensemble of Decision Trees. RSFDGrC 2003: 476-483 - [c9]Yuan Jiang, Kejia Chen, Zhi-Hua Zhou:
SOM Based Image Segmentation. RSFDGrC 2003: 640-643 - 2002
- [j8]Zhi-Hua Zhou, Jianxin Wu, Wei Tang:
Ensembling neural networks: Many could be better than all. Artif. Intell. 137(1-2): 239-263 (2002) - [j7]Zhi-Hua Zhou, Yuan Jiang, Yu-Bin Yang, Shifu Chen:
Lung cancer cell identification based on artificial neural network ensembles. Artif. Intell. Medicine 24(1): 25-36 (2002) - [j6]Zhi-Hua Zhou:
Artificial Neural Networks in Biomedicine - Paulo J.G. Lisboa, Emmanuel C. Ifeachor and Piotr S. Szczepaniak (Eds.), Springer-Verlag, London, 2000, ISBN 1-85233-005-8. Artif. Intell. Medicine 25(2): 211-214 (2002) - [j5]Zhi-Hua Zhou, Zhaoqian Chen:
Hybrid decision tree. Knowl. Based Syst. 15(8): 515-528 (2002) - [j4]Jianxin Wu, Zhi-Hua Zhou:
Face recognition with one training image per person. Pattern Recognit. Lett. 23(14): 1711-1719 (2002) - [c8]Zhi-Hua Zhou, Yuan Jiang, Xu-Ri Yin, Shifu Chen:
The Application of Visualization and Neural Network Techniques in a Power Transformer Condition Monitoring System. IEA/AIE 2002: 325-334 - 2001
- [j3]Zhi-Hua Zhou, Jianxin Wu, Wei Tang, Zhaoqian Chen:
Combining Regression Estimators: GA-Based Selective Neural Network Ensemble. Int. J. Comput. Intell. Appl. 1(4): 341-356 (2001) - [c7]Zhi-Hua Zhou, Jianxin Wu, Yuan Jiang, Shifu Chen:
Genetic Algorithm based Selective Neural Network Ensemble. IJCAI 2001: 797-802 - [c6]Xu-Ri Yin, Zhi-Hua Zhou, Ning Li, Shifu Chen:
An Approach for Data Filtering Based on Rough Set Theory. WAIM 2001: 367-376 - 2000
- [j2]Zhi-Hua Zhou, Yuan Jiang, Shifu Chen:
A general neural framework for classification rule mining. Int. J. Comput. Syst. Signals 1(2): 154-168 (2000) - [j1]Zhi-Hua Zhou, Shifu Chen, Zhaoqian Chen:
FANNC: A Fast Adaptive Neural Network Classifier. Knowl. Inf. Syst. 2(1): 115-129 (2000) - [c5]Fu Jie Huang, Tsuhan Chen, Zhi-Hua Zhou, Hong-Jiang Zhang:
Pose Invariant Face Recognition. FG 2000: 245-250 - [c4]Jia-Zhou He, Zhi-Hua Zhou, Xu-Ri Yin, Shifu Chen:
Using Neural Networks for Fault Diagnosis. IJCNN (5) 2000: 217-220 - [c3]Zhi-Hua Zhou, Shifu Chen, Zhaoqian Chen:
A Statistics Based Approach for Extracting Priority Rules from Trained Neural Networks. IJCNN (3) 2000: 401-406
1990 – 1999
- 1999
- [c2]Zhi-Hua Zhou, Shifu Chen, Zhaoqian Chen:
FANRE: A Fast Adaptive Neural Regression Estimator. Australian Joint Conference on Artificial Intelligence 1999: 48-59 - [c1]Zhi-Hua Zhou, Shifu Chen, Zhaoqian Chen:
Mining Typhoon Knowledge with Neural Networks. ICTAI 1999: 325-326
Coauthor Index
[j209] [j204] [c325] [c324] [c320] [c318] [c314] [c313] [c309] [j190] [c304] [c299] [c294] [j181] [c287] [c286] [c281] [i88] [i86] [i84] [j176] [c277] [c275] [c272] [c270] [i78] [j164] [j159] [c257] [i63] [i60] [c249] [c245] [c228] [c217] [c208] [c189] [j126] [c180] [c173] [i24] [c169] [c166] [c147] [j98] [c140] [c139] [c134] [j89] [j84] [c127] [c120] [c114] [c95] [j62] [c89] [c78] [c67] [c38] [c31] [c24] [j19] [j15] [c22] [c19] [j13] [j9] [c9] [j7] [c8] [c7] [j2]
James T. Kwok
aka: James Tin-Yau Kwok
aka: James Tin-Yau Kwok
Kai Ming Ting
aka: Kai-Ming Ting
aka: Kai-Ming Ting
[c332] [c326] [i108] [j199] [c321] [i97] [b1] [j172] [c259] [c256] [i68] [j158] [j157] [j149] [c242] [c241] [c236] [i59] [i55] [c218] [c209] [i39] [c197] [c193] [i32] [j130] [j127] [c185] [c178] [c172] [c171] [c164] [c156] [j114] [c146] [c142] [i11] [j100] [c135] [c131] [c130] [c126] [c125] [c122] [c119] [i9] [j73] [c96] [i5] [c90] [j57] [j56] [c72] [c67] [c62] [j48] [c55] [c50] [j27] [j24]
[j214] [j211] [j205] [c336] [c333] [c331] [c329] [i107] [i106] [i104] [j202] [j201] [c323] [c322] [c319] [c315] [c312] [c311] [c307] [i103] [i102] [i99] [i98] [j191] [j190] [c305] [c303] [c301] [c300] [c298] [c297] [i96] [i95] [i93] [i92] [j185] [j180] [c290] [c289] [c288] [i90] [i82] [j177] [c277] [c276] [c270] [c268] [c266] [c265] [i80] [i77] [i76] [c257] [i64] [i61] [c249] [c247] [c246] [i54] [c208] [i44]
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