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ORCIDZhifeng Hao
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j178]Yali Feng, Wen Wen, Zhifeng Hao, Ruichu Cai:
Time-aware tensor factorization for temporal recommendation. Appl. Intell. 55(1): 36 (2025)- 2024
- [j177]Ruichu Cai, Yunjin Wu, Xiaokai Huang, Wei Chen, Tom Z. J. Fu, Zhifeng Hao:
Granger causal representation learning for groups of time series. Sci. China Inf. Sci. 67(5) (2024) - [j176]Shengbing Xu
, Zhifeng Hao, Yuanhao Zhu, Zhenyou Wang, Yunhao Xiao, Bo Liu:
Semi-supervised fuzzy clustering algorithm based on prior membership degree matrix with expert preference. Expert Syst. Appl. 238(Part C): 121812 (2024) - [j175]Jie Cao, Han Huang, Fangqing Liu, Qiuhong Zhang, Zhifeng Hao:
Multi-task collaborative method based on manifold optimization for automated test case generation based on path coverage. Expert Syst. Appl. 251: 123932 (2024) - [j174]Yanshan Xiao, Guitao Pan, Bo Liu, Liang Zhao, Xiangjun Kong, Zhifeng Hao:
Privileged multi-view one-class support vector machine. Neurocomputing 572: 127186 (2024) - [j173]Zhifeng Hao, Yaochu Jin, Xueming Yan, Chuyue Wang, Shangshang Yang, Hong Ge:
Cross-modal hashing retrieval with compatible triplet representation. Neurocomputing 602: 128293 (2024) - [j172]Yazhou Ren, Xinyue Chen, Jie Xu, Jingyu Pu, Yonghao Huang, Xiaorong Pu, Ce Zhu, Xiaofeng Zhu, Zhifeng Hao, Lifang He:
A novel federated multi-view clustering method for unaligned and incomplete data fusion. Inf. Fusion 108: 102357 (2024) - [j171]Yanshan Xiao, Junfeng Chen, Bo Liu, Liang Zhao, Xiangjun Kong, Zhifeng Hao:
A new multi-view multi-label model with privileged information learning. Inf. Sci. 656: 119911 (2024) - [j170]Luyao Ma, Geping Yang, Yiyang Yang, Xiang Chen, Juan Lu, Zhiguo Gong, Zhifeng Hao:
UP-DPC: Ultra-scalable parallel density peak clustering. Inf. Sci. 660: 120114 (2024) - [j169]Yuan Fang, Geping Yang, Xiang Chen, Zhiguo Gong, Yiyang Yang, Can Chen, Zhifeng Hao:
Landmark-based k-factorization multi-view subspace clustering. Inf. Sci. 667: 120480 (2024) - [j168]Yanshan Xiao, Mengyue Zeng, Bo Liu, Liang Zhao, Xiangjun Kong, Zhifeng Hao:
Multi-task ordinal regression with task weight discovery. Knowl. Based Syst. 305: 112616 (2024) - [j167]Yue Wang, Yong Yang, Mingsheng Liu, Xianghong Tang, Haibin Wang, Zhifeng Hao, Ze Shi, Gang Wang, Botao Jiang, Chunyang Liu:
Industrial product surface defect detection via the fast denoising diffusion implicit model. Int. J. Mach. Learn. Cybern. 15(11): 5091-5106 (2024) - [j166]Ruichu Cai, Ruming Lu, Wei Chen, Zhifeng Hao:
Counterfactual contextual bandit for recommendation under delayed feedback. Neural Comput. Appl. 36(23): 14599-14613 (2024) - [j165]Wen Wen, Shiyuan Wu, Ruichu Cai, Zhifeng Hao:
Cross-KG Link Prediction by Learning Substructural Semantics. Neural Process. Lett. 56(1): 40 (2024) - [j164]Zijian Li, Ruichu Cai, Tom Z. J. Fu, Zhifeng Hao, Kun Zhang:
Transferable Time-Series Forecasting Under Causal Conditional Shift. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 1932-1949 (2024) - [j163]Sucheng Deng, Geping Yang, Yiyang Yang, Zhiguo Gong, Can Chen, Xiang Chen, Zhifeng Hao:
Module-based graph pooling for graph classification. Pattern Recognit. 154: 110606 (2024) - [j162]Lijuan Wang, Shaomin Chen, Ming Yin, Zhifeng Hao, Ruichu Cai:
Block diagonal representation learning with local invariance for face clustering. Soft Comput. 28(13-14): 8133-8149 (2024) - [j161]Wenji Li, Ruitao Mai, Zhaojun Wang, Yifeng Qiu, Biao Xu, Zhifeng Hao, Zhun Fan:
Surrogate-assisted push and pull search for expensive constrained multi-objective optimization problems. Swarm Evol. Comput. 91: 101728 (2024) - [j160]Yanshan Xiao, Jianwei Zhang, Bo Liu, Liang Zhao, Xiangjun Kong, Zhifeng Hao:
Multi-View Maximum Margin Clustering With Privileged Information Learning. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2719-2733 (2024) - [j159]Han Huang, Yueting Xu, Yi Xiang, Zhifeng Hao:
Correlation-Based Dynamic Allocation Scheme of Fitness Evaluations for Constrained Evolutionary Optimization. IEEE Trans. Evol. Comput. 28(5): 1250-1264 (2024) - [j158]Xueming Yan, Han Huang, Yaochu Jin, Liang Chen, Zhanning Liang, Zhifeng Hao:
Neural Architecture Search via Multi-Hashing Embedding and Graph Tensor Networks for Multilingual Text Classification. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 350-363 (2024) - [j157]Xiaopeng Yang, Zhifeng Hao, Jianjun Qiu, Qianyu Shu:
Variable-Absent Fuzzy Relation Inequality With Max-Min Composition. IEEE Trans. Fuzzy Syst. 32(3): 733-744 (2024) - [j156]Jiubing Liu, Shutian Huang, Tianrui Li, Qiang Liang, Huaxiong Li, Zhifeng Hao:
Models and Algorithms for Optimizing Thresholds in Fuzzy Representation-Based Three-Way Decision. IEEE Trans. Fuzzy Syst. 32(9): 4912-4926 (2024) - [j155]Song Wu, Yan Zheng, Yazhou Ren, Jing He, Xiaorong Pu, Shudong Huang, Zhifeng Hao, Lifang He:
Self-Weighted Contrastive Fusion for Deep Multi-View Clustering. IEEE Trans. Multim. 26: 9150-9162 (2024) - [j154]Ruichu Cai, Siyu Wu, Jie Qiao, Zhifeng Hao, Keli Zhang, Xi Zhang:
THPs: Topological Hawkes Processes for Learning Causal Structure on Event Sequences. IEEE Trans. Neural Networks Learn. Syst. 35(1): 479-493 (2024) - [j153]Xuexin Chen, Ruichu Cai, Yuan Fang, Min Wu, Zijian Li, Zhifeng Hao:
Motif Graph Neural Network. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14833-14847 (2024) - [c129]Ruichu Cai, Yuxuan Zhu, Jie Qiao, Zefeng Liang, Furui Liu, Zhifeng Hao:
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples. AAAI 2024: 11132-11140 - [c128]Jingyu Pu, Chenhang Cui, Xinyue Chen, Yazhou Ren, Xiaorong Pu, Zhifeng Hao, Philip S. Yu, Lifang He:
Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering. AAAI 2024: 14633-14641 - [c127]Zichen Wen, Yawen Ling, Yazhou Ren, Tianyi Wu, Jianpeng Chen, Xiaorong Pu, Zhifeng Hao, Lifang He:
Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering. AAAI 2024: 15841-15849 - [c126]Yuguang Yan, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao, Michael Kwok-Po Ng:
Exploiting Geometry for Treatment Effect Estimation via Optimal Transport. AAAI 2024: 16290-16298 - [c125]Wei Chen, Zhiyi Huang, Ruichu Cai, Zhifeng Hao, Kun Zhang:
Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants. AAAI 2024: 20353-20361 - [c124]Yuequn Liu, Ruichu Cai, Wei Chen, Jie Qiao, Yuguang Yan, Zijian Li, Keli Zhang, Zhifeng Hao:
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences. AAAI 2024: 20491-20499 - [c123]Jie Qiao, Zhengming Chen, Jianhua Yu, Ruichu Cai, Zhifeng Hao:
Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model. AAAI 2024: 20516-20523 - [c122]Jie Qiao, Yu Xiang, Zhengming Chen, Ruichu Cai, Zhifeng Hao:
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis. AAAI 2024: 20524-20531 - [c121]Bingfeng Chen, Qihan Ouyang, Yongqi Luo, Boyan Xu, Ruichu Cai, Zhifeng Hao:
S²GSL: Incorporating Segment to Syntactic Enhanced Graph Structure Learning for Aspect-based Sentiment Analysis. ACL (1) 2024: 13366-13379 - [c120]Zhe Liu, Xiang Huang, Jingyun Zhang, Zhifeng Hao, Li Sun, Hao Peng:
Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis. CIKM 2024: 1555-1564 - [c119]Bi Li, Boyu Chen, Nankai Lin, Xueming Yan, Yue Xie, Zhifeng Hao:
Generating Synthetic Tabular Data by Using Image Generative Adversarial Networks. GECCO Companion 2024: 1616-1622 - [c118]Xuexin Chen, Ruichu Cai, Zhengting Huang, Yuxuan Zhu, Julien Horwood, Zhifeng Hao, Zijian Li, José Miguel Hernández-Lobato:
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation. ICML 2024 - [c117]Weilin Chen, Ruichu Cai, Zeqin Yang, Jie Qiao, Yuguang Yan, Zijian Li, Zhifeng Hao:
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning. ICML 2024 - [c116]Yuguang Yan, Hao Zhou, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao:
Reducing Balancing Error for Causal Inference via Optimal Transport. ICML 2024 - [c115]Wei Chen, Xiaokai Huang, Zijian Li, Ruichu Cai, Zhiyi Huang, Zhifeng Hao:
Individual Causal Structure Learning from Population Data. IJCAI 2024: 7109-7117 - [c114]Yingguang Yang, Qi Wu, Buyun He, Hao Peng, Renyu Yang, Zhifeng Hao, Yong Liao:
SEBot: Structural Entropy Guided Multi-View Contrastive learning for Social Bot Detection. KDD 2024: 3841-3852 - [c113]Kun Peng, Lei Jiang, Hao Peng, Rui Liu, Zhengtao Yu, Jiaqian Ren, Zhifeng Hao, Philip S. Yu:
Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction. SDM 2024: 145-153 - [i53]Zichen Wen, Yawen Ling, Yazhou Ren, Tianyi Wu, Jianpeng Chen, Xiaorong Pu, Zhifeng Hao, Lifang He:
Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering. CoRR abs/2401.02682 (2024) - [i52]Ruichu Cai, Siyang Huang, Jie Qiao, Wei Chen, Yan Zeng, Keli Zhang, Fuchun Sun, Yang Yu, Zhifeng Hao:
Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy. CoRR abs/2402.04869 (2024) - [i51]Xuexin Chen, Ruichu Cai, Zhengting Huang, Yuxuan Zhu, Julien Horwood, Zhifeng Hao, Zijian Li, José Miguel Hernández-Lobato:
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation. CoRR abs/2402.08845 (2024) - [i50]Xuexin Chen, Ruichu Cai, Kaitao Zheng, Zhifan Jiang, Zhengting Huang, Zhifeng Hao, Zijian Li:
Unifying Invariance and Spuriousity for Graph Out-of-Distribution via Probability of Necessity and Sufficiency. CoRR abs/2402.09165 (2024) - [i49]Zijian Li, Ruichu Cai, Zhenhui Yang, Haiqin Huang, Guangyi Chen, Yifan Shen, Zhengming Chen, Xiangchen Song, Zhifeng Hao, Kun Zhang:
When and How: Learning Identifiable Latent States for Nonstationary Time Series Forecasting. CoRR abs/2402.12767 (2024) - [i48]Zijian Li, Ruichu Cai, Haiqin Huang, Sili Zhang, Yuguang Yan, Zhifeng Hao, Zhenghua Dong:
Debiased Model-based Interactive Recommendation. CoRR abs/2402.15819 (2024) - [i47]Jie Qiao, Yu Xiang, Zhengming Chen, Ruichu Cai, Zhifeng Hao:
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis. CoRR abs/2403.16523 (2024) - [i46]Hao Peng, Jingyun Zhang, Xiang Huang, Zhifeng Hao, Angsheng Li, Zhengtao Yu, Philip S. Yu:
Unsupervised Social Bot Detection via Structural Information Theory. CoRR abs/2404.13595 (2024) - [i45]Weilin Chen, Ruichu Cai, Zeqin Yang, Jie Qiao, Yuguang Yan, Zijian Li, Zhifeng Hao:
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning. CoRR abs/2405.03342 (2024) - [i44]Yuwei Cao, Hao Peng, Angsheng Li, Chenyu You, Zhifeng Hao, Philip S. Yu:
Multi-Relational Structural Entropy. CoRR abs/2405.07096 (2024) - [i43]Yingguang Yang, Qi Wu, Buyun He, Hao Peng, Renyu Yang, Zhifeng Hao, Yong Liao:
SeBot: Structural Entropy Guided Multi-View Contrastive Learning for Social Bot Detection. CoRR abs/2405.11225 (2024) - [i42]Zijian Li, Yifan Shen, Kaitao Zheng, Ruichu Cai, Xiangchen Song, Mingming Gong, Zhifeng Hao, Zhengmao Zhu, Guangyi Chen, Kun Zhang:
On the Identification of Temporally Causal Representation with Instantaneous Dependence. CoRR abs/2405.15325 (2024) - [i41]Ruichu Cai, Zhifang Jiang, Zijian Li, Weilin Chen, Xuexin Chen, Zhifeng Hao, Yifan Shen, Guangyi Chen, Kun Zhang:
From Orthogonality to Dependency: Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals. CoRR abs/2405.16083 (2024) - [i40]Bingfeng Chen, Qihan Ouyang, Yongqi Luo, Boyan Xu, Ruichu Cai, Zhifeng Hao:
S2GSL: Incorporating Segment to Syntactic Enhanced Graph Structure Learning for Aspect-based Sentiment Analysis. CoRR abs/2406.02902 (2024) - [i39]Zhengming Chen, Ruichu Cai, Feng Xie, Jie Qiao, Anpeng Wu, Zijian Li, Zhifeng Hao, Kun Zhang:
Learning Discrete Latent Variable Structures with Tensor Rank Conditions. CoRR abs/2406.07020 (2024) - [i38]Zeqin Yang, Weilin Chen, Ruichu Cai, Yuguang Yan, Zhifeng Hao, Zhipeng Yu, Zhichao Zou, Zhen Peng, Jiecheng Guo:
Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights. CoRR abs/2406.19195 (2024) - [i37]Jiafan Zhuang, Gaofei Han, Zihao Xia, Boxi Wang, Wenji Li, Dongliang Wang, Zhifeng Hao, Ruichu Cai, Zhun Fan:
Robust Policy Learning for Multi-UAV Collision Avoidance with Causal Feature Selection. CoRR abs/2407.04056 (2024) - [i36]Jiafan Zhuang, Zihao Xia, Gaofei Han, Boxi Wang, Wenji Li, Dongliang Wang, Zhifeng Hao, Ruichu Cai, Zhun Fan:
Collision Avoidance for Multiple UAVs in Unknown Scenarios with Causal Representation Disentanglement. CoRR abs/2407.04064 (2024) - [i35]Xuexin Chen, Ruichu Cai, Kaitao Zheng, Zhifan Jiang, Zhengting Huang, Zhifeng Hao, Zijian Li:
Unifying Invariant and Variant Features for Graph Out-of-Distribution via Probability of Necessity and Sufficiency. CoRR abs/2407.15273 (2024) - [i34]Zhe Liu, Xiang Huang, Jingyun Zhang, Zhifeng Hao, Li Sun, Hao Peng:
Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis. CoRR abs/2408.13082 (2024) - 2023
- [j152]Ruichu Cai, Liting Huang, Wei Chen, Jie Qiao, Zhifeng Hao:
Learning dynamic causal mechanisms from non-stationary data. Appl. Intell. 53(5): 5437-5448 (2023) - [j151]Yinghan Hong, Junping Guo, Guizhen Mai, Yingqing Lin, Hao Zhang, Zhifeng Hao, Gengzhong Zheng:
High-dimensional causal discovery based on heuristic causal partitioning. Appl. Intell. 53(20): 23768-23796 (2023) - [j150]Dan Wang, Fangqi Chen, Zhifeng Hao, Marian Wiercigroch:
Nonlinear energy harvesting from rotating system. Commun. Nonlinear Sci. Numer. Simul. 127: 107521 (2023) - [j149]Stuart Dereck Semujju, Han Huang, Fangqing Liu, Yi Xiang, Zhifeng Hao:
Search-Based Software Test Data Generation for Path Coverage Based on a Feedback-Directed Mechanism. Complex Syst. Model. Simul. 3(1): 12-31 (2023) - [j148]Zhifeng Hao, Junbin Chen, Wen Wen, Biao Wu, Ruichu Cai:
A selection-pattern-aware recommendation model with colored-motif attention network. Neurocomputing 538: 126178 (2023) - [j147]Jiubing Liu, Xinying Guo, Peijia Ren, Libo Zhang, Zhifeng Hao:
Consensus of three-way group decision with weight updating based on a novel linguistic intuitionistic fuzzy similarity. Inf. Sci. 648: 119537 (2023) - [j146]Yanshan Xiao, Liangwang Zhang, Bo Liu, Ruichu Cai, Zhifeng Hao:
Multi-task ordinal regression with labeled and unlabeled data. Inf. Sci. 649: 119669 (2023) - [j145]Wen Wen, Wencui Wang, Zhifeng Hao, Ruichu Cai:
Factorizing time-heterogeneous Markov transition for temporal recommendation. Neural Networks 159: 84-96 (2023) - [j144]Geping Yang, Sucheng Deng, Xiang Chen, Can Chen, Yiyang Yang, Zhiguo Gong, Zhifeng Hao:
RESKM: A General Framework to Accelerate Large-Scale Spectral Clustering. Pattern Recognit. 137: 109275 (2023) - [j143]Huanlin Li, Yuwei Cai, Juncao Hong, Peng Xu, Hui Cheng, Xiaomin Zhu, Bingliang Hu, Zhifeng Hao, Zhun Fan:
VG-Swarm: A Vision-Based Gene Regulation Network for UAVs Swarm Behavior Emergence. IEEE Robotics Autom. Lett. 8(3): 1175-1182 (2023) - [j142]Zhun Fan, Zhaojun Wang, Wenji Li, Xiaomin Zhu, Bingliang Hu, An-Min Zou, Weidong Bao, Minqiang Gu, Zhifeng Hao, Yaochu Jin:
Automated pattern generation for swarm robots using constrained multi-objective genetic programming. Swarm Evol. Comput. 81: 101337 (2023) - [j141]Han Huang, Fujian Feng, Shuqiang Huang, Liang Chen, Zhifeng Hao:
Microscale Searching Algorithm for Coupling Matrix Optimization of Automated Microwave Filter Tuning. IEEE Trans. Cybern. 53(5): 2829-2840 (2023) - [j140]Junpeng Su, Han Huang, Gang Li, Xueqiang Li, Zhifeng Hao:
Self-Organizing Neural Scheduler for the Flexible Job Shop Problem With Periodic Maintenance and Mandatory Outsourcing Constraints. IEEE Trans. Cybern. 53(9): 5533-5544 (2023) - [j139]Geping Yang, Sucheng Deng, Can Chen, Yiyang Yang, Zhiguo Gong, Xiang Chen, Zhifeng Hao:
LiteWSEC: A Lightweight Framework for Web-Scale Spectral Ensemble Clustering. IEEE Trans. Knowl. Data Eng. 35(10): 10035-10047 (2023) - [j138]Yan Zeng, Zhifeng Hao, Ruichu Cai, Feng Xie, Libo Huang, Shohei Shimizu:
Nonlinear Causal Discovery for High-Dimensional Deterministic Data. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2234-2245 (2023) - [j137]Shuling Yang, Han Huang, Fan Luo, Yang Xu, Zhifeng Hao:
Local-Diversity Evaluation Assignment Strategy for Decomposition-Based Multiobjective Evolutionary Algorithm. IEEE Trans. Syst. Man Cybern. Syst. 53(3): 1697-1709 (2023) - [j136]Wenji Li, Zhaojun Wang, Ruitao Mai, Pengxiang Ren, Qinchang Zhang, Yutao Zhou, Ning Xu, Jiafan Zhuang, Bin Xin, Liang Gao, Zhifeng Hao, Zhun Fan:
Modular design automation of the morphologies, controllers, and vision systems for intelligent robots: a survey. Vis. Intell. 1(1) (2023) - [c112]Luyao Ma, Geping Yang, Xiang Chen, Yiyang Yang, Zhiguo Gong, Zhifeng Hao:
Ultra-DPC: Ultra-scalable and Index-Free Density Peak Clustering. APWeb/WAIM (4) 2023: 139-154 - [c111]Wenji Li, Ruitao Mai, Pengxiang Ren, Zhaojun Wang, Qinchang Zhang, Ning Xu, Biao Xu, Zhun Fan, Zhifeng Hao:
A Surrogate-Ensemble Assisted Coevolutionary Algorithm for Expensive Constrained Multi-Objective Optimization Problems. CEC 2023: 1-7 - [c110]Ruichu Cai, Zeqin Yang, Weilin Chen, Yuguang Yan, Zhifeng Hao:
Generalization Bound for Estimating Causal Effects from Observational Network Data. CIKM 2023: 163-172 - [c109]Ruichu Cai, Zhiyi Huang, Wei Chen, Zhifeng Hao, Kun Zhang:
Causal Discovery with Latent Confounders Based on Higher-Order Cumulants. ICML 2023: 3380-3407 - [c108]Zhifeng Hao, Haipeng Zhu, Wei Chen, Ruichu Cai:
Latent Causal Dynamics Model for Model-Based Reinforcement Learning. ICONIP (2) 2023: 219-230 - [c107]Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai:
Some General Identification Results for Linear Latent Hierarchical Causal Structure. IJCAI 2023: 3568-3576 - [c106]Jie Qiao, Ruichu Cai, Siyu Wu, Yu Xiang, Keli Zhang, Zhifeng Hao:
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences. IJCAI 2023: 5702-5710 - [c105]Xinyue Chen, Jie Xu, Yazhou Ren, Xiaorong Pu, Ce Zhu, Xiaofeng Zhu, Zhifeng Hao, Lifang He:
Federated Deep Multi-View Clustering with Global Self-Supervision. ACM Multimedia 2023: 3498-3506 - [c104]Zhenqian Wu, Yazhou Ren, Xiaorong Pu, Zhifeng Hao, Lifang He:
Generative Neutral Features-Disentangled Learning for Facial Expression Recognition. ACM Multimedia 2023: 4300-4308 - [c103]Zijian Li, Ruichu Cai, Guangyi Chen, Boyang Sun, Zhifeng Hao, Kun Zhang:
Subspace Identification for Multi-Source Domain Adaptation. NeurIPS 2023 - [i33]Yan Zeng, Ruichu Cai, Fuchun Sun, Libo Huang, Zhifeng Hao:
A Survey on Causal Reinforcement Learning. CoRR abs/2302.05209 (2023) - [i32]Jie Qiao, Ruichu Cai, Siyu Wu, Yu Xiang, Keli Zhang, Zhifeng Hao:
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences. CoRR abs/2305.05986 (2023) - [i31]Ruichu Cai, Zhiyi Huang, Wei Chen, Zhifeng Hao, Kun Zhang:
Causal Discovery with Latent Confounders Based on Higher-Order Cumulants. CoRR abs/2305.19582 (2023) - [i30]Ruichu Cai, Yuequn Liu, Wei Chen, Jie Qiao, Yuguang Yan, Zijian Li, Keli Zhang, Zhifeng Hao:
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences. CoRR abs/2306.14114 (2023) - [i29]Ruichu Cai, Zeqin Yang, Weilin Chen, Yuguang Yan, Zhifeng Hao:
Generalization bound for estimating causal effects from observational network data. CoRR abs/2308.04011 (2023) - [i28]Xinyue Chen, Jie Xu, Yazhou Ren, Xiaorong Pu, Ce Zhu, Xiaofeng Zhu, Zhifeng Hao, Lifang He:
Federated Deep Multi-View Clustering with Global Self-Supervision. CoRR abs/2309.13697 (2023) - [i27]Zijian Li, Ruichu Cai, Guangyi Chen, Boyang Sun, Zhifeng Hao, Kun Zhang:
Subspace Identification for Multi-Source Domain Adaptation. CoRR abs/2310.04723 (2023) - [i26]Zijian Li, Zunhong Xu, Ruichu Cai, Zhenhui Yang, Yuguang Yan, Zhifeng Hao, Guangyi Chen, Kun Zhang:
Identifying Semantic Component for Robust Molecular Property Prediction. CoRR abs/2311.04837 (2023) - [i25]Kun Peng, Lei Jiang, Hao Peng, Rui Liu, Zhengtao Yu, Jiaqian Ren, Zhifeng Hao, Philip S. Yu:
Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction. CoRR abs/2312.11152 (2023) - [i24]Wei Chen, Zhiyi Huang, Ruichu Cai, Zhifeng Hao, Kun Zhang:
Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants. CoRR abs/2312.11934 (2023) - [i23]Jie Qiao, Zhengming Chen, Jianhua Yu, Ruichu Cai, Zhifeng Hao:
Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model. CoRR abs/2312.12206 (2023) - [i22]Ruichu Cai, Yuxuan Zhu, Jie Qiao, Zefeng Liang, Furui Liu, Zhifeng Hao:
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples. CoRR abs/2312.13628 (2023) - 2022
- [j135]Zhun Fan, Zehao Zheng, Biao Xu, Wenji Li, Yonggang Zhang, Zhifeng Hao:
Performance optimization of hard rock tunnel boring machine using multi-objective evolutionary algorithm. Comput. Ind. Eng. 169: 108251 (2022) - [j134]Zhifeng Hao, Dan Wang, Marian Wiercigroch:
Nonlinear dynamics of new magneto-mechanical oscillator. Commun. Nonlinear Sci. Numer. Simul. 105: 106092 (2022) - [j133]Lijuan Wang, Lin Zhang, Ming Yin, Zhifeng Hao, Ruichu Cai, Wen Wen:
Double embedding-transfer-based multi-view spectral clustering. Expert Syst. Appl. 210: 118374 (2022) - [j132]Dan Wang, Zhifeng Hao, Fangqi Chen, Yushu Chen:
Multi-Mode Motion Dynamics of a Top Tensioned Riser Excited by Vortices and Varying Tension. Int. J. Bifurc. Chaos 32(10): 2250144:1-2250144:17 (2022) - [j131]Wei Chen, Jibin Chen, Ruichu Cai, Yuequn Liu, Zhifeng Hao:
Learning granger causality for non-stationary Hawkes processes. Neurocomputing 468: 22-32 (2022) - [j130]Ruichu Cai, Zhaolong Lin, Wei Chen, Zhifeng Hao:
Shared state space model for background information extraction and time series prediction. Neurocomputing 468: 85-96 (2022) - [j129]Zhifeng Hao, Junhao Chen, Wen Wen, Biao Wu, Ruichu Cai:
Motif-based memory networks for complex-factoid question answering. Neurocomputing 485: 12-21 (2022) - [j128]Liang Zhao, Yanshan Xiao, Bo Liu, Zhifeng Hao:
Multi-view partial label machine. Inf. Sci. 586: 310-325 (2022) - [j127]Yibang Ruan, Yanshan Xiao, Zhifeng Hao, Bo Liu:
A convex multi-class model via distance metric learning based class-to-instance confidence. Knowl. Based Syst. 258: 109791 (2022) - [j126]Jie Qiao, Yiming Bai, Ruichu Cai, Zhifeng Hao:
Causal discovery from multi-domain data using the independence of modularities. Neural Comput. Appl. 34(3): 1939-1949 (2022) - [j125]Han Huang, Shuling Yang, Xueqiang Li, Zhifeng Hao:
An Embedded Hamiltonian Graph-Guided Heuristic Algorithm for Two-Echelon Vehicle Routing Problem. IEEE Trans. Cybern. 52(7): 5695-5707 (2022) - [j124]Fangqing Liu, Han Huang, Junpeng Su, Stuart D. Semujju, Zhongming Yang, Zhifeng Hao:
Manifold-Inspired Search-Based Algorithm for Automated Test Case Generation. IEEE Trans. Emerg. Top. Comput. 10(2): 1075-1090 (2022) - [j123]Xiaohang Xu, Hao Peng, Md. Zakirul Alam Bhuiyan, Zhifeng Hao, Lianzhong Liu, Lichao Sun, Lifang He:
Privacy-Preserving Federated Depression Detection From Multisource Mobile Health Data. IEEE Trans. Ind. Informatics 18(7): 4788-4797 (2022) - [j122]Wei Chen, Ruichu Cai, Kun Zhang, Zhifeng Hao:
Causal Discovery in Linear Non-Gaussian Acyclic Model With Multiple Latent Confounders. IEEE Trans. Neural Networks Learn. Syst. 33(7): 2816-2827 (2022) - [j121]Yibang Ruan, Yanshan Xiao, Zhifeng Hao, Bo Liu:
A Convex Model for Support Vector Distance Metric Learning. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3533-3546 (2022) - [c102]Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Kun Zhang, Ruichu Cai:
Identification of Linear Latent Variable Model with Arbitrary Distribution. AAAI 2022: 6350-6357 - [c101]Geping Yang, Sucheng Deng, Yiyang Yang, Zhiguo Gong, Xiang Chen, Zhifeng Hao:
LiteWSC: A Lightweight Framework for Web-Scale Spectral Clustering. DASFAA (2) 2022: 556-573 - [c100]Huaxing Huang, Guijie Zhu, Zhun Fan, Hao Zhai, Yuwei Cai, Ze Shi, Zhaohui Dong, Zhifeng Hao:
Vision-based Distributed Multi-UAV Collision Avoidance via Deep Reinforcement Learning for Navigation. IROS 2022: 13745-13752 - [c99]Geping Yang, Hongzhang Lv, Yiyang Yang, Zhiguo Gong, Xiang Chen, Zhifeng Hao:
FastDEC: Clustering by Fast Dominance Estimation. ECML/PKDD (1) 2022: 138-156 - [i21]Huaxing Huang, Guijie Zhu, Zhun Fan, Hao Zhai, Yuwei Cai, Ze Shi, Zhaohui Dong, Zhifeng Hao:
Vision-based Distributed Multi-UAV Collision Avoidance via Deep Reinforcement Learning for Navigation. CoRR abs/2203.02650 (2022) - [i20]Yuwei Cai, Huanlin Li, Zhun Fan, Juncao Hong, Peng Xu, Hui Cheng, Xiaomin Zhu, Bingliang Hu, Zhifeng Hao:
VGSwarm: A Vision-based Gene Regulation Network for UAVs Swarm Behavior Emergence. CoRR abs/2206.08669 (2022) - [i19]Ruichu Cai, Yuxuan Zhu, Xuexin Chen, Yuan Fang, Min Wu, Jie Qiao, Zhifeng Hao:
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach. CoRR abs/2212.07056 (2022) - 2021
- [j120]Yandi Chen, Ao Guo, Qinqun Chen, Bin Quan, Guiqing Liu, Li Li, Jiaming Hong, Hang Wei, Zhifeng Hao:
Intelligent classification of antepartum cardiotocography model based on deep forest. Biomed. Signal Process. Control. 67: 102555 (2021) - [j119]Hang Wei, Han Huang, Zhifeng Hao, Qin-Qun Chen, Witold Pedrycz, Gang Li:
A real adjacency matrix-coded evolution algorithm for highly linkage-based routing problems. Int. J. Bio Inspired Comput. 18(1): 1-12 (2021) - [j118]Jie Qiao, Yiming Bai, Ruichu Cai, Zhifeng Hao:
Learning causal structures using hidden compact representation. Neurocomputing 463: 328-333 (2021) - [j117]Yiyang Yang, Sucheng Deng, Juan Lu, Yuhong Li, Zhiguo Gong, Leong Hou U, Zhifeng Hao:
GraphLSHC: Towards large scale spectral hypergraph clustering. Inf. Sci. 544: 117-134 (2021) - [j116]Yibang Ruan, Yanshan Xiao, Zhifeng Hao, Bo Liu:
A nearest-neighbor search model for distance metric learning. Inf. Sci. 552: 261-277 (2021) - [j115]Xichen Zheng, Chengsen Ren, Yiyang Yang, Zhiguo Gong, Xiang Chen, Zhifeng Hao:
QuickDSC: Clustering by Quick Density Subgraph Estimation. Inf. Sci. 581: 403-427 (2021) - [j114]Jian Zhu, Silong Li, Ruichu Cai, Zhifeng Hao, Guoheng Huang, Bin Sheng, Enhua Wu:
Compensating the vorticity loss during advection with an adaptive vorticity confinement force. Comput. Animat. Virtual Worlds 32(1) (2021) - [j113]Liting Huang, Zhiying Jiang, Ruichu Cai, Li Li, Qinqun Chen, Jiaming Hong, Zhifeng Hao, Hang Wei:
Investigating the interpretability of fetal status assessment using antepartum cardiotocographic records. BMC Medical Informatics Decis. Mak. 21(1): 355 (2021) - [j112]Zhifeng Hao, Di Lv, Zijian Li, Ruichu Cai, Wen Wen, Boyan Xu:
Semi-supervised disentangled framework for transferable named entity recognition. Neural Networks 135: 127-138 (2021) - [j111]Wei-Chang Yeh, Zhifeng Hao, Majid Forghani-elahabad, Gai-Ge Wang, Yih-Lon Lin:
Novel Binary-Addition Tree Algorithm for Reliability Evaluation of Acyclic Multistate Information Networks. Reliab. Eng. Syst. Saf. 210: 107427 (2021) - [j110]Zhifeng Hao, Wei-Chang Yeh, Shi-Yi Tan:
One-batch preempt deterioration-effect multi-state multi-rework network reliability problem and algorithms. Reliab. Eng. Syst. Saf. 215: 107883 (2021) - [j109]Fangqing Liu, Han Huang, Zhongming Yang, Zhifeng Hao, Jiangping Wang:
Search-Based Algorithm With Scatter Search Strategy for Automated Test Case Generation of NLP Toolkit. IEEE Trans. Emerg. Top. Comput. Intell. 5(3): 491-503 (2021) - [j108]Jie Qiao, Ruichu Cai, Kun Zhang, Zhenjie Zhang, Zhifeng Hao:
Causal Discovery with Confounding Cascade Nonlinear Additive Noise Models. ACM Trans. Intell. Syst. Technol. 12(6): 80:1-80:28 (2021) - [j107]Zhifeng Hao, Di Wu, Yuan Fang, Min Wu, Ruichu Cai, Xiaoli Li:
Prediction of Synthetic Lethal Interactions in Human Cancers Using Multi-View Graph Auto-Encoder. IEEE J. Biomed. Health Informatics 25(10): 4041-4051 (2021) - [c98]Ruichu Cai, Hao Zhang, Wen Liu, Shenghua Gao, Zhifeng Hao:
Appearance-Motion Memory Consistency Network for Video Anomaly Detection. AAAI 2021: 938-946 - [c97]Bin Quan, Manli Yang, Xia Li, Qinqun Chen, Guiqing Liu, Jiaming Hong, Zhifeng Hao, Li Li, Hang Wei:
Research on the Design of Active Learning Algorithm based on Query-by-Committee for Intelligent Fetal Monitoring. BIBM 2021: 515-521 - [c96]Junyuan Feng, Jincheng Liang, Zihan Qiang, Xia Li, Qinqun Chen, Guiqing Liu, Jiaming Hong, Zhifeng Hao, Hang Wei:
Effective techniques for intelligent cardiotocography interpretation using XGB-RF feature selection and stacking fusion. BIBM 2021: 2667-2673 - [c95]Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao:
Causal Discovery with Multi-Domain LiNGAM for Latent Factors. CAWS 2021: 1-4 - [c94]Junpeng Su, Han Huang, Zhifeng Hao:
Cooperative co-evolution strategies with time-dependent grouping for optimization problems in smart grids. GECCO Companion 2021: 3-4 - [c93]Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao:
Causal Discovery with Multi-Domain LiNGAM for Latent Factors. IJCAI 2021: 2097-2103 - [c92]Ruichu Cai, Jinjie Yuan, Boyan Xu, Zhifeng Hao:
SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL. NeurIPS 2021: 7664-7676 - [i18]Wei Chen, Kun Zhang, Ruichu Cai, Biwei Huang, Joseph D. Ramsey, Zhifeng Hao, Clark Glymour:
FRITL: A Hybrid Method for Causal Discovery in the Presence of Latent Confounders. CoRR abs/2103.14238 (2021) - [i17]Ruichu Cai, Siyu Wu, Jie Qiao, Zhifeng Hao, Keli Zhang, Xi Zhang:
THP: Topological Hawkes Processes for Learning Granger Causality on Event Sequences. CoRR abs/2105.10884 (2021) - [i16]Ruichu Cai, Weilin Chen, Jie Qiao, Zhifeng Hao:
On the Role of Entropy-based Loss for Learning Causal Structures with Continuous Optimization. CoRR abs/2106.02835 (2021) - [i15]Ruichu Cai, Jinjie Yuan, Boyan Xu, Zhifeng Hao:
SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL. CoRR abs/2111.00653 (2021) - [i14]Wei Chen, Yunjin Wu, Ruichu Cai, Yueguo Chen, Zhifeng Hao:
CCSL: A Causal Structure Learning Method from Multiple Unknown Environments. CoRR abs/2111.09666 (2021) - [i13]Xuexin Chen, Ruichu Cai, Yuan Fang, Min Wu, Zijian Li, Zhifeng Hao:
Motif Graph Neural Network. CoRR abs/2112.14900 (2021) - 2020
- [j106]Zhifeng Hao, Wei-Chang Yeh, Cheng-Feng Hu, Neal N. Xiong, Yi-Zhu Su, Chia-Ling Huang:
A Novel Convolution-Based Algorithm for the Acyclic Network Symbolic Reliability Function Problem. IEEE Access 8: 99337-99345 (2020) - [j105]Min-fan He, Zhifeng Hao, Wei-Chang Yeh, Chia-Chen Kuo, Neal N. Xiong, Yeou-Ren Shiue:
Quickest Multistate Flow Networks With the Deterioration Effect. IEEE Access 8: 145535-145541 (2020) - [j104]Jian Zhu, Zhuo Yang, Hanqiu Sun, Enhua Wu, Ruichu Cai, Zhifeng Hao:
Detail-preserving smoke simulation using an efficient high-order numerical scheme. Sci. China Inf. Sci. 63(6) (2020) - [j103]Lijuan Wang, Jiawen Huang, Ming Yin, Ruichu Cai, Zhifeng Hao:
Block diagonal representation learning for robust subspace clustering. Inf. Sci. 526: 54-67 (2020) - [j102]Jian Zhu, Silong Li, Ruichu Cai, Zhifeng Hao, Guoheng Huang, Bin Sheng, Enhua Wu:
Animating turbulent fluid with a robust and efficient high-order advection method. Comput. Animat. Virtual Worlds 31(4-5) (2020) - [j101]Wei Chen, Ruichu Cai, Zhifeng Hao, Chang Yuan, Feng Xie:
Mining hidden non-redundant causal relationships in online social networks. Neural Comput. Appl. 32(11): 6913-6923 (2020) - [j100]Biao Wu, Wen Wen, Zhifeng Hao, Ruichu Cai:
Multi-context aware user-item embedding for recommendation. Neural Networks 124: 86-94 (2020) - [j99]Yan Zeng, Zhifeng Hao, Ruichu Cai, Feng Xie, Liang Ou, Ruihui Huang:
A causal discovery algorithm based on the prior selection of leaf nodes. Neural Networks 124: 130-145 (2020) - [j98]Ruichu Cai, Jincheng Ye, Jie Qiao, Huiyuan Fu, Zhifeng Hao:
FOM: Fourth-order moment based causal direction identification on the heteroscedastic data. Neural Networks 124: 193-201 (2020) - [j97]Zhifeng Hao, Wei-Chang Yeh, Ming Zuo, Jing Wang:
Multi-distribution multi-commodity multistate flow network model and its reliability evaluation algorithm. Reliab. Eng. Syst. Saf. 193: 106668 (2020) - [j96]Zhifeng Hao, Wei-Chang Yeh, Zhenyao Liu, Majid Forghani-elahabad:
General multi-state rework network and reliability algorithm. Reliab. Eng. Syst. Saf. 203: 107048 (2020) - [j95]Guizhen Mai, Yinghan Hong, Shen Fu, Yingqing Lin, Zhifeng Hao, Han Huang, Yuanhao Zhu:
Optimization of Lennard-Jones clusters by particle swarm optimization with quasi-physical strategy. Swarm Evol. Comput. 57: 100710 (2020) - [j94]Xueming Yan, Han Huang, Zhifeng Hao, Jiahai Wang:
A Graph-Based Fuzzy Evolutionary Algorithm for Solving Two-Echelon Vehicle Routing Problems. IEEE Trans. Evol. Comput. 24(1): 129-141 (2020) - [j93]Han Huang, Junpeng Su, Yushan Zhang, Zhifeng Hao:
An Experimental Method to Estimate Running Time of Evolutionary Algorithms for Continuous Optimization. IEEE Trans. Evol. Comput. 24(2): 275-289 (2020) - [j92]Xiao-Peng Yang, Zhifeng Hao:
Supereigenvalue Problem to Addition-Min Fuzzy Matrix With Application in P2P File Sharing System. IEEE Trans. Fuzzy Syst. 28(8): 1640-1651 (2020) - [j91]Feng Xie, Ruichu Cai, Yan Zeng, Jiantao Gao, Zhifeng Hao:
An Efficient Entropy-Based Causal Discovery Method for Linear Structural Equation Models With IID Noise Variables. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1667-1680 (2020) - [j90]Ruichu Cai, Jiahao Li, Zhenjie Zhang, Xiaoyan Yang, Zhifeng Hao:
DACH: Domain Adaptation Without Domain Information. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5055-5067 (2020) - [c91]Yue Fei, Xiaoqian Huang, Qinqun Chen, Jiamin Chen, Li Li, Jiaming Hong, Zhifeng Hao, Hang Wei:
Automatic Classification of Antepartum Cardiotocography Using Fuzzy Clustering and Adaptive Neuro -Fuzzy Inference System. BIBM 2020: 1938-1942 - [c90]Yajun Huang, Jingbin Zhang, Yiyang Yang, Zhiguo Gong, Zhifeng Hao:
GNNVis: Visualize Large-Scale Data by Learning a Graph Neural Network Representation. CIKM 2020: 545-554 - [c89]Kailin Tang, Zhifeng Hao, Ruichu Cai, Tom Z. J. Fu, Yin Yang, Li Wang, Marianne Winslett, Zhenjie Zhang:
DRS+: Load Shedding Meets Resource Auto-Scaling in Distributed Stream Processing. HPCC/DSS/SmartCity 2020: 292-301 - [c88]Feng Xie, Ruichu Cai, Biwei Huang, Clark Glymour, Zhifeng Hao, Kun Zhang:
Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs. NeurIPS 2020 - [i12]Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao:
Causal Discovery with Multi-Domain LiNGAM for Latent Factors. CoRR abs/2009.09176 (2020) - [i11]Feng Xie, Ruichu Cai, Biwei Huang, Clark Glymour, Zhifeng Hao, Kun Zhang:
Generalized Independent Noise Condition for Estimating Linear Non-Gaussian Latent Variable Graphs. CoRR abs/2010.04917 (2020) - [i10]Zhifeng Hao, Di Lv, Zijian Li, Ruichu Cai, Wen Wen, Boyan Xu:
Semi-Supervised Disentangled Framework for Transferable Named Entity Recognition. CoRR abs/2012.11805 (2020) - [i9]Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao:
Learning Disentangled Semantic Representation for Domain Adaptation. CoRR abs/2012.11807 (2020)
2010 – 2019
- 2019
- [j89]Bingfeng Chen, Zhifeng Hao, Xiaofeng Cai, Ruichu Cai, Wen Wen, Jian Zhu, Guangqiang Xie:
Embedding Logic Rules Into Recurrent Neural Networks. IEEE Access 7: 14938-14946 (2019) - [j88]Boyan Xu, Ruichu Cai, Zhenjie Zhang, Xiaoyan Yang, Zhifeng Hao, Zijian Li, Zhihao Liang:
NADAQ: Natural Language Database Querying Based on Deep Learning. IEEE Access 7: 35012-35017 (2019) - [j87]Yaling Zhang, Zhifeng Hao, Shangping Wang:
A Differential Privacy Support Vector Machine Classifier Based on Dual Variable Perturbation. IEEE Access 7: 98238-98251 (2019) - [j86]Yihui Liang, Han Huang, Zhaoquan Cai, Zhifeng Hao, Kay Chen Tan:
Deep infrared pedestrian classification based on automatic image matting. Appl. Soft Comput. 77: 484-496 (2019) - [j85]Yushan Zhang, Han Huang, Hongyue Wu, Zhifeng Hao:
Theoretical analysis of the convergence property of a basic pigeon-inspired optimizer in a continuous search space. Sci. China Inf. Sci. 62(7): 70207:1-70207:9 (2019) - [j84]Peng Shi, Wanyuan Wang, Yifeng Zhou, Jiuchuan Jiang, Yichuan Jiang, Zhifeng Hao, Jianyong Yu:
Practical POMDP-based test mechanism for quality assurance in volunteer crowdsourcing. Enterp. Inf. Syst. 13(7-8): 979-1001 (2019) - [j83]Zhifeng Hao, Wei-Chang Yeh, Jing Wang, Gai-Ge Wang, Bin Sun:
A Quick Inclusion-Exclusion technique. Inf. Sci. 486: 20-30 (2019) - [j82]Fuhan Yan, Jiuchuan Jiang, Kai Di, Yichuan Jiang, Zhifeng Hao:
Multiagent Pursuit-Evasion Problem with the Pursuers Moving at Uncertain Speeds. J. Intell. Robotic Syst. 95(1): 119-135 (2019) - [j81]Wen Wen, Zetian Lin, Ruichu Cai, Zhifeng Hao, Lijuan Wang:
基于嵌入学习的用户动态偏好预测 (Predicting User's Dynamic Preference Based on Embedding Learning). 计算机科学 46(10): 32-38 (2019) - [j80]Peng Shi, Manyu Zhao, Wanyuan Wang, Yifeng Zhou, Jiuchuan Jiang, Jinyu Zhang, Yichuan Jiang, Zhifeng Hao:
Best of both worlds: Mitigating imbalance of crowd worker strategic choices without a budget. Knowl. Based Syst. 163: 1020-1031 (2019) - [j79]Zhifeng Hao, Biao Wu, Wen Wen, Ruichu Cai:
A subgraph-representation-based method for answering complex questions over knowledge bases. Neural Networks 119: 57-65 (2019) - [j78]Yingchao Cheng, Zhifeng Hao, Ruichu Cai:
Auto-scaling for real-time stream analytics on HPC cloud. Serv. Oriented Comput. Appl. 13(2): 169-183 (2019) - [j77]Han Huang, Liang Lv, Shujin Ye, Zhifeng Hao:
Particle swarm optimization with convergence speed controller for large-scale numerical optimization. Soft Comput. 23(12): 4421-4437 (2019) - [j76]Bi Li, Yan Wu, Zhifeng Hao, Xueming Yan, Boyu Chen:
The effects of trust on life satisfaction in the context of WeChat use. Telematics Informatics 42 (2019) - [j75]Yihui Liang, Han Huang, Zhaoquan Cai, Zhifeng Hao:
Multiobjective Evolutionary Optimization Based on Fuzzy Multicriteria Evaluation and Decomposition for Image Matting. IEEE Trans. Fuzzy Syst. 27(5): 1100-1111 (2019) - [j74]Han Huang, Yihui Liang, Xiaowei Yang, Zhifeng Hao:
Pixel-Level Discrete Multiobjective Sampling for Image Matting. IEEE Trans. Image Process. 28(8): 3739-3751 (2019) - [j73]Wanyuan Wang, Zhanpeng He, Peng Shi, Weiwei Wu, Yichuan Jiang, Bo An, Zhifeng Hao, Bing Chen:
Strategic Social Team Crowdsourcing: Forming a Team of Truthful Workers for Crowdsourcing in Social Networks. IEEE Trans. Mob. Comput. 18(6): 1419-1432 (2019) - [j72]Zhifeng Hao, Wei-Chang Yeh, Cheng-Feng Hu:
A Novel Multistate Minimal Cut Vectors Problem and Its Algorithm. IEEE Trans. Reliab. 68(1): 291-301 (2019) - [c87]Yushan Zhang, Han Huang, Zhifeng Hao, Zhou Hong:
Runtime Analysis of Pigeon-Inspired Optimizer Based on Average Gain Model. CEC 2019: 1165-1169 - [c86]Jiaying Chen, Xiaocong Liu, Hang Wei, Qinqun Chen, Jiaming Hong, Qiongna Li, Zhifeng Hao:
Imbalanced Cardiotocography Multi-classification for Antenatal Fetal Monitoring Using Weighted Random Forest. ICSH 2019: 75-85 - [c85]Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao:
Causal Discovery with Cascade Nonlinear Additive Noise Model. IJCAI 2019: 1609-1615 - [c84]Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao:
Learning Disentangled Semantic Representation for Domain Adaptation. IJCAI 2019: 2060-2066 - [c83]Feng Xie, Ruichu Cai, Yan Zeng, Zhifeng Hao:
Causal Discovery of Linear Non-Gaussian Acyclic Model with Small Samples. IScIDE (2) 2019: 381-393 - [c82]Ruichu Cai, Feng Xie, Clark Glymour, Zhifeng Hao, Kun Zhang:
Triad Constraints for Learning Causal Structure of Latent Variables. NeurIPS 2019: 12863-12872 - [i8]Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao:
Causal Discovery with Cascade Nonlinear Additive Noise Models. CoRR abs/1905.09442 (2019) - [i7]Zhifeng Hao, Wei-Chang Yeh, Zhenyao Liu:
General Multi-State Rework Network and Reliability Algorithm. CoRR abs/1912.03309 (2019) - 2018
- [j71]Gang Li, Zhifeng Hao, Han Huang, Hang Wei:
Maximizing Algebraic Connectivity via Minimum Degree and Maximum Distance. IEEE Access 6: 41249-41255 (2018) - [j70]Zhifeng Hao, Yibang Ruan, Yanshan Xiao, Bo Liu:
A multi-task-based classification framework for multi-instance distance metric learning. Neurocomputing 275: 418-429 (2018) - [j69]Yinghan Hong, Zhifeng Hao, Guizhen Mai, Han Huang:
Causal feature selection method based on extended Markov blanket. Int. J. Wirel. Mob. Comput. 15(4): 310-317 (2018) - [j68]Wen Wen, Ying Chen, Ruichu Cai, Zhifeng Hao, Lijuan Wang:
基于多视角多标签学习的读者情绪分类 (Emotion Classification for Readers Based on Multi-view Multi-label Learning). 计算机科学 45(8): 191-197 (2018) - [j67]Jian Zhu, Yu Luo, Xiaohua Ren, Ruichu Cai, Zhifeng Hao, Hanqiu Sun, Enhua Wu:
Synthetic fluid details for the vorticity loss in advection. Comput. Animat. Virtual Worlds 29(3-4) (2018) - [j66]Bo Liu, Yanshan Xiao, Zhifeng Hao:
A Selective Multiple Instance Transfer Learning Method for Text Categorization Problems. Knowl. Based Syst. 141: 178-187 (2018) - [j65]Jinyu Zhang, Xuechun Luo, Yao Zhou, Weiwei Ruan, Y. Jiang, Zhifeng Hao:
Two-way negotiation for intelligent hotel reservation based on multiagent: The model and system. Knowl. Based Syst. 161: 78-89 (2018) - [j64]Xueming Yan, Zhifeng Hao, Han Huang:
Alpha matting with image pixel correlation. Int. J. Mach. Learn. Cybern. 9(4): 621-627 (2018) - [j63]Yushan Zhang, Han Huang, Zhiyong Lin, Zhifeng Hao, Guiwu Hu:
Running-time analysis of evolutionary programming based on Lebesgue measure of searching space. Neural Comput. Appl. 30(2): 617-626 (2018) - [j62]Han Huang, Shujin Ye, Zhun Fan, Zhiyong Lin, Liang Lv, Zhifeng Hao:
Evolutionary programming with a simulated-conformist mutation strategy. Soft Comput. 22(2): 659-676 (2018) - [j61]Jiuchuan Jiang, Bo An, Yichuan Jiang, Donghui Lin, Zhan Bu, Jie Cao, Zhifeng Hao:
Understanding Crowdsourcing Systems from a Multiagent Perspective and Approach. ACM Trans. Auton. Adapt. Syst. 13(2): 8:1-8:32 (2018) - [j60]Han Huang, Fangqing Liu, Zhongming Yang, Zhifeng Hao:
Automated Test Case Generation Based on Differential Evolution With Relationship Matrix for iFogSim Toolkit. IEEE Trans. Ind. Informatics 14(11): 5005-5016 (2018) - [j59]Ruichu Cai, Zhenjie Zhang, Zhifeng Hao, Marianne Winslett:
Sophisticated Merging Over Random Partitions: A Scalable and Robust Causal Discovery Approach. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3623-3635 (2018) - [j58]Yanshan Xiao, Bo Liu, Zhifeng Hao:
Multiple-Instance Ordinal Regression. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4398-4413 (2018) - [c81]Ruichu Cai, Jie Qiao, Zhenjie Zhang, Zhifeng Hao:
SELF: Structural Equational Likelihood Framework for Causal Discovery. AAAI 2018: 1787-1794 - [c80]Yao Chen, Libo Huang, Jiong He, Kunyao Zhao, Ruichu Cai, Zhifeng Hao:
HASS: High Accuracy Spike Sorting with Wavelet Package Decomposition and Mutual Information. BIBM 2018: 831-838 - [c79]Zhihao Ye, Ruichu Cai, Zhaohui Liao, Zhifeng Hao, Jinfen Li:
Generating Natural Answers on Knowledge Bases and Text by Sequence-to-Sequence Learning. ICANN (1) 2018: 447-455 - [c78]Ruichu Cai, Qiqi Zhen, Zhifeng Hao:
Identification of Causality Among Gene Mutations Through Local Causal Association Rule Discovery. ICONIP (7) 2018: 465-477 - [c77]Yingchao Cheng, Zhifeng Hao, Ruichu Cai, Wen Wen:
HPC2-ARS: An Architecture for Real-Time Analytic of Big Data Streams. ICWS 2018: 319-322 - [c76]Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao:
Causal Discovery from Discrete Data using Hidden Compact Representation. NeurIPS 2018: 2671-2679 - [c75]Yingchao Cheng, Zhifeng Hao, Ruichu Cai, Wen Wen, Lijuan Wang, Zhongrun Zhou:
Resource-Aware Stream Processing in High Performance Cloud Environment. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 381-388 - 2017
- [j57]Fangqing Liu, Han Huang, Xueqiang Li, Zhifeng Hao:
Automated test data generation based on particle swarm optimisation with convergence speed controller. CAAI Trans. Intell. Technol. 2(2): 73-79 (2017) - [j56]Han Huang, Fangqing Liu, Xiaoyan Zhuo, Zhifeng Hao:
Differential Evolution Based on Self-Adaptive Fitness Function for Automated Test Case Generation. IEEE Comput. Intell. Mag. 12(2): 46-55 (2017) - [j55]Wen Wen, Ruichu Cai, Zhifeng Hao, Xiaowei Yang, Yang Li:
Recognizing activities from partially observed streams using posterior regularized conditional random fields. Neurocomputing 260: 294-301 (2017) - [j54]Han Huang, Hongyue Wu, Yushan Zhang, Zhiyong Lin, Zhifeng Hao:
Running-time Analysis of Ant System Algorithms with Upper-bound Comparison. Int. J. Swarm Intell. Res. 8(4): 1-17 (2017) - [j53]Yanshan Xiao, Bo Liu, Jie Yin, Zhifeng Hao:
A multiple-instance stream learning framework for adaptive document categorization. Knowl. Based Syst. 120: 198-210 (2017) - [j52]Yanshan Xiao, Bo Liu, Zhifeng Hao:
A Sphere-Description-Based Approach for Multiple-Instance Learning. IEEE Trans. Pattern Anal. Mach. Intell. 39(2): 242-257 (2017) - [j51]Ruichu Cai, Zhenjie Zhang, Zhifeng Hao, Marianne Winslett:
Understanding Social Causalities Behind Human Action Sequences. IEEE Trans. Neural Networks Learn. Syst. 28(8): 1801-1813 (2017) - [c74]Fangqing Liu, Han Huang, Zhifeng Hao:
Evolutionary algorithm with convergence speed controller for automated software test data generation problem. CEC 2017: 869-875 - [c73]Zhifeng Hao, Ruichu Cai, Yiyang Yang, Wen Wen, Lixin Liang:
A Dynamic Conditional Random Field Based Framework for Sentence-Level Sentiment Analysis of Chinese Microblog. CSE/EUC (1) 2017: 135-142 - [c72]Yinghan Hong, Zhifeng Hao, Guizhen Mai, Bingfeng Chen, Rui Xie:
An Approach for Inferring Causal Directions from Multi-Dimensional Networks. CSE/EUC (1) 2017: 388-392 - [c71]Xueming Yan, Zhifeng Hao, Han Huang, Hongyue Wu:
Ant colony optimization with human-computer cooperative strategy for two-echelon vehicle routing problem. GECCO (Companion) 2017: 1443-1446 - [c70]Yiyang Yang, Zhiguo Gong, Qing Li, Leong Hou U, Ruichu Cai, Zhifeng Hao:
A Robust Noise Resistant Algorithm for POI Identification from Flickr Data. IJCAI 2017: 3294-3300 - [c69]Ruichu Cai, Feng Xie, Wei Chen, Zhifeng Hao:
An efficient kurtosis-based causal discovery method for linear non-Gaussian acyclic data. IWQoS 2017: 1-6 - [c68]Gang Li, Zhifeng Hao, Hang Wei, Han Huang:
A Construction Graph-Based Evolutionary Algorithm for Traveling Salesman Problem. SEAL 2017: 656-667 - [i6]Ruichu Cai, Zhenjie Zhang, Zhifeng Hao:
SADA: A General Framework to Support Robust Causation Discovery with Theoretical Guarantee. CoRR abs/1707.01283 (2017) - 2016
- [j50]Yushan Zhang, Han Huang, Zhifeng Hao, Guiwu Hu:
First hitting time analysis of continuous evolutionary algorithms based on average gain. Clust. Comput. 19(3): 1323-1332 (2016) - [j49]Zijie Chen, Zhifeng Hao:
A unified multi-label classification framework with supervised low-dimensional embedding. Neurocomputing 171: 1563-1575 (2016) - [j48]Yunzhi Jiang, Wei-Chang Yeh, Zhifeng Hao, Zhenlun Yang:
A cooperative honey bee mating algorithm and its application in multi-threshold image segmentation. Inf. Sci. 369: 171-183 (2016) - [j47]Weiqi Chen, Zhifeng Hao, Ruichu Cai, Xiangzhou Zhang, Yong Hu, Mei Liu:
Multiple-cause discovery combined with structure learning for high-dimensional discrete data and application to stock prediction. Soft Comput. 20(11): 4575-4588 (2016) - [j46]Yanshan Xiao, Bo Liu, Zhifeng Hao:
A Maximum Margin Approach for Semisupervised Ordinal Regression Clustering. IEEE Trans. Neural Networks Learn. Syst. 27(5): 1003-1019 (2016) - [c67]Bingfeng Chen, Zhifeng Hao, Ruichu Cai, Wen Wen, Shenzhi Du:
Sentiment Target Extraction Based on CRFs with Multi-features for Chinese Microblog. APWeb Workshops 2016: 29-41 - [c66]Hang Wei, Zhifeng Hao, Han Huang, Gang Li, Qinqun Chen:
A Real Adjacency Matrix-Coded Differential Evolution Algorithm for Traveling Salesman Problems. BIC-TA (2) 2016: 135-140 - [c65]Xiaoqi Peng, Zhifeng Hao, Han Huang, Hongyue Wu, Fangqing Liu:
Evolutionary Process: Parallelism Analysis of Differential Evolution Algorithm Based on Graph Theory. BIC-TA (2) 2016: 151-162 - [c64]Xueming Yan, Zhifeng Hao, Han Huang, Gang Li:
Human-computer cooperative brain storm optimization algorithm for the two-echelon vehicle routing problem. CEC 2016: 2676-2681 - [c63]Xueming Yan, Han Huang, Zhifeng Hao, Gang Li:
A human-machine cooperative approach for combinatorial optimization problem. ICMLC 2016: 838-843 - [c62]Ganzhao Yuan, Yin Yang, Zhenjie Zhang, Zhifeng Hao:
Convex Optimization for Linear Query Processing under Approximate Differential Privacy. KDD 2016: 2005-2014 - [c61]Ruichu Cai, Zhenjie Zhang, Srinivasan Parthasarathy, Anthony K. H. Tung, Zhifeng Hao, Wen Zhang:
Multi-Domain Manifold Learning for Drug-Target Interaction Prediction. SDM 2016: 18-26 - [i5]Ganzhao Yuan, Yin Yang, Zhenjie Zhang, Zhifeng Hao:
Optimal Linear Aggregate Query Processing under Approximate Differential Privacy. CoRR abs/1602.04302 (2016) - 2015
- [j45]Zhifeng Hao, Hao Zhang, Ruichu Cai, Wen Wen, Zhihao Li:
Causal discovery on high dimensional data. Appl. Intell. 42(3): 594-607 (2015) - [j44]Ruichu Cai, Zhifeng Hao, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhenjie Zhang, Shuigeng Zhou:
Deterministic identification of specific individuals from GWAS results. Bioinform. 31(11): 1701-1707 (2015) - [j43]Lijuan Wang, Zhifeng Hao, Ruichu Cai, Wen Wen:
Enhanced soft subspace clustering through hybrid dissimilarity. J. Intell. Fuzzy Syst. 29(4): 1395-1405 (2015) - [j42]Yanshan Xiao, Bo Liu, Philip S. Yu, Zhifeng Hao:
A robust one-class transfer learning method with uncertain data. Knowl. Inf. Syst. 44(2): 407-438 (2015) - [j41]Yunzhi Jiang, Pohsiang Tsai, Zhifeng Hao, Longbing Cao:
Automatic multilevel thresholding for image segmentation using stratified sampling and Tabu Search. Soft Comput. 19(9): 2605-2617 (2015) - [j40]Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao:
Optimizing Batch Linear Queries under Exact and Approximate Differential Privacy. ACM Trans. Database Syst. 40(2): 11:1-11:47 (2015) - [j39]Zhifeng Hao, Li-Juan Wang, Ruichu Cai, Wen Wen:
An improved clustering ensemble method based link analysis. World Wide Web 18(2): 185-195 (2015) - [c60]Wen Wen, Zhifeng Hao, Ruichu Cai:
Mining the Discriminative Word Sets for Bag-of-Words Model Based on Distributional Similarity Graph. APWeb Workshops 2015: 54-70 - [c59]Zhifeng Hao, Yingchao Cheng, Ruichu Cai, Wen Wen, Lijuan Wang:
A Semi-supervised Solution for Cold Start Issue on Recommender Systems. APWeb 2015: 805-817 - [i4]Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao:
Optimizing Batch Linear Queries under Exact and Approximate Differential Privacy. CoRR abs/1502.07526 (2015) - 2014
- [j38]Yanshan Xiao, Bo Liu, Zhifeng Hao, Longbing Cao:
A K-Farthest-Neighbor-based approach for support vector data description. Appl. Intell. 41(1): 196-211 (2014) - [j37]Zhifeng Hao, Ganzhao Yuan, Bernard Ghanem:
BILGO: Bilateral greedy optimization for large scale semidefinite programming. Neurocomputing 127: 247-257 (2014) - [j36]Ruichu Cai, Zhenjie Zhang, Anthony K. H. Tung, Chenyun Dai, Zhifeng Hao:
A general framework of hierarchical clustering and its applications. Inf. Sci. 272: 29-48 (2014) - [j35]Xiaolan Liu, Shaohua Pan, Zhifeng Hao, Zhiyong Lin:
Graph-based semi-supervised learning by mixed label propagation with a soft constraint. Inf. Sci. 277: 327-337 (2014) - [j34]Aimin Hou, Qingqi Zhong, Yurou Chen, Zhifeng Hao:
A Practical Graph Isomorphism Algorithm with Vertex Canonical Labeling. J. Comput. 9(10): 2467-2474 (2014) - [j33]Bo Liu, Yanshan Xiao, Philip S. Yu, Zhifeng Hao, Longbing Cao:
An efficient orientation distance-based discriminative feature extraction method for multi-classification. Knowl. Inf. Syst. 39(2): 409-433 (2014) - [j32]Han Huang, Weijia Lin, Zhiyong Lin, Zhifeng Hao, Andrew Lim:
An evolutionary algorithm based on constraint set partitioning for nurse rostering problems. Neural Comput. Appl. 25(3-4): 703-715 (2014) - [j31]Yanshan Xiao, Bo Liu, Zhifeng Hao, Longbing Cao:
A Similarity-Based Classification Framework for Multiple-Instance Learning. IEEE Trans. Cybern. 44(4): 500-515 (2014) - [j30]Bo Liu, Yanshan Xiao, Philip S. Yu, Longbing Cao, Yun Zhang, Zhifeng Hao:
Uncertain One-Class Learning and Concept Summarization Learning on Uncertain Data Streams. IEEE Trans. Knowl. Data Eng. 26(2): 468-484 (2014) - [j29]Bo Liu, Yanshan Xiao, Philip S. Yu, Zhifeng Hao, Longbing Cao:
An Efficient Approach for Outlier Detection with Imperfect Data Labels. IEEE Trans. Knowl. Data Eng. 26(7): 1602-1616 (2014) - [c58]Weiqi Chen, Kang Liu, Lijun Su, Mei Liu, Zhifeng Hao, Yong Hu, Xiangzhou Zhang:
Discovering Many-to-One Causality in Software Project Risk Analysis. 3PGCIC 2014: 316-323 - [c57]Yunzhi Jiang, Zhifeng Hao, Zhenlun Yang, Yinglong Wang, Huojiao He:
A cooperative honey bee mating algorithm and its application in multi-threshold image segmentation. IEEE Congress on Evolutionary Computation 2014: 1579-1585 - [c56]Bokai Cao, Lifang He, Xiangnan Kong, Philip S. Yu, Zhifeng Hao, Ann B. Ragin:
Tensor-Based Multi-view Feature Selection with Applications to Brain Diseases. ICDM 2014: 40-49 - [c55]Lifang He, Hong-Han Shuai, Xiangnan Kong, Zhifeng Hao, Xiaowei Yang, Philip S. Yu:
Low-Density Cut Based Tree Decomposition for Large-Scale SVM Problems. ICDM 2014: 839-844 - [c54]Zijie Chen, Zhifeng Hao:
Supervised low dimensional embedding for multi-label classification. ICMLC 2014: 193-199 - [c53]Zijie Chen, Zhifeng Hao:
Latent semantic KNN algorithm for multi-label learning. ICMLC 2014: 278-284 - [c52]Ruichu Cai, Chang Yuan, Zhifeng Hao, Wen Wen, Lijuan Wang, Weiqi Chen, Zhihao Li:
A Causal Model for Disease Pathway Discovery. ICONIP (1) 2014: 350-357 - [c51]Lifang He, Xiangnan Kong, Philip S. Yu, Xiaowei Yang, Ann B. Ragin, Zhifeng Hao:
DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages. SDM 2014: 127-135 - [i3]Lifang He, Xiangnan Kong, Philip S. Yu, Ann B. Ragin, Zhifeng Hao, Xiaowei Yang:
DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages. CoRR abs/1407.8289 (2014) - 2013
- [j28]Ruichu Cai, Zhifeng Hao, Wen Wen, Lijuan Wang:
Regularized Gaussian Mixture Model based discretization for gene expression data association mining. Appl. Intell. 39(3): 607-613 (2013) - [j27]Haixiang Yao, Yongzeng Lai, Zhifeng Hao:
Uncertain exit time multi-period mean-variance portfolio selection with endogenous liabilities and Markov jumps. Autom. 49(11): 3258-3269 (2013) - [j26]Ganzhao Yuan, Zhenjie Zhang, Bernard Ghanem, Zhifeng Hao:
Low-rank quadratic semidefinite programming. Neurocomputing 106: 51-60 (2013) - [j25]Sen Zhao, Zhifeng Hao, Han Huang, Yang Tan:
Multi-objective Differential Evolution Algorithm based on Adaptive Mutation and Partition Selection. J. Comput. 8(10): 2695-2700 (2013) - [j24]Bo Liu, Yanshan Xiao, Longbing Cao, Zhifeng Hao, Feiqi Deng:
SVDD-based outlier detection on uncertain data. Knowl. Inf. Syst. 34(3): 597-618 (2013) - [j23]Lifang He, Xiaowei Yang, Zhifeng Hao:
An adaptive class pairwise dimensionality reduction algorithm. Neural Comput. Appl. 23(2): 299-310 (2013) - [j22]Zhifeng Hao, Hongfei Wang, Ruichu Cai, Wen Wen:
Product named entity recognition for Chinese query questions based on a skip-chain CRF model. Neural Comput. Appl. 23(2): 371-379 (2013) - [j21]Zhifeng Hao, Ganzhao Yuan, Xiaowei Yang, Zijie Chen:
A primal method for multiple kernel learning. Neural Comput. Appl. 23(3-4): 975-987 (2013) - [j20]Ruichu Cai, Zhenjie Zhang, Zhifeng Hao:
Causal gene identification using combinatorial V-structure search. Neural Networks 43: 63-71 (2013) - [j19]Zhifeng Hao, Lifang He, Bingqian Chen, Xiaowei Yang:
A Linear Support Higher-Order Tensor Machine for Classification. IEEE Trans. Image Process. 22(7): 2911-2920 (2013) - [c50]Zhifeng Hao, Jinlong Huang, Ruichu Cai, Wen Wen:
A Hybrid Approach for Large Scale Causality Discovery. ICIC (3) 2013: 1-6 - [c49]Zhifeng Hao, Jie Cheng, Ruichu Cai, Wen Wen, Lijuan Wang:
Chinese Sentiment Classification Based on the Sentiment Drop Point. ICIC (3) 2013: 55-60 - [c48]Ruichu Cai, Zhenjie Zhang, Zhifeng Hao:
SADA: A General Framework to Support Robust Causation Discovery. ICML (2) 2013: 208-216 - [c47]Li-Juan Wang, Zhifeng Hao, Ruichu Cai, Wen Wen:
An improved local adaptive clustering ensemble based on link analysis. ICMLC 2013: 10-15 - [c46]Bo Liu, Philip S. Yu, Yanshan Xiao, Zhifeng Hao:
One-Class Transfer Learning with Uncertain Data. PAKDD (1) 2013: 471-483 - [c45]Zhifeng Hao, Bo Liu, Yanshan Xiao, Philip S. Yu:
MODS: Multiple One-class Data Streams Learning from Homogeneous Data. SDM 2013: 722-730 - [c44]Longbing Cao, Zhifeng Hao, Bo Liu, Yanshan Xiao, Philip S. Yu:
Robust Textual Data Streams Mining Based on Continuous Transfer Learning. SDM 2013: 731-739 - 2012
- [j18]Yunzhi Jiang, Zhifeng Hao, Ganzhao Yuan, Zhenlun Yang:
Multilevel thresholding for image segmentation through Bayesian particle swarm optimisation. Int. J. Model. Identif. Control. 15(4): 267-276 (2012) - [j17]Yu Shan Zhang, Zhifeng Hao, Han Huang:
Convergence time analysis of ant system algorithm. Int. J. Model. Identif. Control. 15(4): 304-309 (2012) - [j16]Qianfeng Cai, Zhifeng Hao, Xiaowei Yang:
Gaussian kernel-based fuzzy inference systems for high dimensional regression. Neurocomputing 77(1): 197-204 (2012) - [j15]Han Huang, Hu Qin, Zhifeng Hao, Andrew Lim:
Example-based learning particle swarm optimization for continuous optimization. Inf. Sci. 182(1): 125-138 (2012) - [j14]Yingjun Wu, Han Huang, Zhifeng Hao, Feng Chen:
Local Community Detection Using Link Similarity. J. Comput. Sci. Technol. 27(6): 1261-1268 (2012) - [j13]Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao:
Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy. Proc. VLDB Endow. 5(11): 1352-1363 (2012) - [c43]Yunzhi Jiang, Pohsiang Tsai, Zhifeng Hao, Longbing Cao:
A novel auto-parameters selection process for image segmentation. IEEE Congress on Evolutionary Computation 2012: 1-7 - [c42]Zhifeng Hao, Xin Zhang, Wen Wen, Ruichu Cai:
Word similarity-based Schema Matching and its application in Chinese mobile phone information integration. FSKD 2012: 1176-1180 - [c41]Hai Liu, Youhua Zhou, Xiaowen Chu, Yiu-Wing Leung, Zhifeng Hao:
Generalized-Bi-Connectivity for Fault Tolerant Cognitive Radio Networks. ICCCN 2012: 1-8 - [c40]Zhifeng Hao, Ai-Jing Wang, Han Huang:
A Memetic Algorithm Applied to Allocation Problem of the Concrete Mixing Plants. ICICA (2) 2012: 693-700 - [c39]Li-Juan Wang, Zhifeng Hao:
An improved link analysis based clustering ensemble method. ICMLC 2012: 47-51 - [c38]Wen Wen, Zhifeng Hao, Ruichu Cai, Zhuangfeng Shao:
Gaussian process learning for image classification based on low-level features. ICNC 2012: 237-241 - [c37]Zhifeng Hao, Jianming Liu, Xueming Yan, Wen Wen, Ruichu Cai:
Alpha Matting Using Artificial Immune Network. ICSI (1) 2012: 300-309 - [c36]Sen Zhao, Zhifeng Hao, Shusen Liu, Weidi Xu, Han Huang:
Multi-objective Evolutionary Algorithm Based on Layer Strategy. ICSI (1) 2012: 546-553 - [i2]Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao:
Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy. CoRR abs/1208.0094 (2012) - [i1]Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao:
Low Rank Mechanism for Optimizing Batch Queries under Differential Privacy. CoRR abs/1212.2309 (2012) - 2011
- [j12]Xiaolan Liu, Shenghan Liu, Zhifeng Hao, Holger Mauch:
Exact algorithm and heuristic for the Closest String Problem. Comput. Oper. Res. 38(11): 1513-1520 (2011) - [j11]Ruichu Cai, Zhifeng Hao, Xiaowei Yang, Han Huang:
A new hybrid method for gene selection. Pattern Anal. Appl. 14(1): 1-8 (2011) - [j10]Ruichu Cai, Zhenjie Zhang, Zhifeng Hao:
BASSUM: A Bayesian semi-supervised method for classification feature selection. Pattern Recognit. 44(4): 811-820 (2011) - [j9]Ruichu Cai, Anthony K. H. Tung, Zhenjie Zhang, Zhifeng Hao:
What is Unequal among the Equals? Ranking Equivalent Rules from Gene Expression Data. IEEE Trans. Knowl. Data Eng. 23(11): 1735-1747 (2011) - [c35]Weiqi Chen, Zhifeng Hao, Hai-Lin Liu:
The 0/1 Multi-objective Knapsack Problem Based on Regional Search. CIS 2011: 149-153 - [c34]Zebin Zhang, Zhifeng Hao, Han Huang:
Hybrid Swarm-Based Optimization Algorithm of GA & VNS for Nurse Scheduling Problem. ICICA (LNCS) 2011: 375-382 - [c33]Yanshan Xiao, Bo Liu, Jie Yin, Longbing Cao, Chengqi Zhang, Zhifeng Hao:
Similarity-Based Approach for Positive and Unlabeled Learning. IJCAI 2011: 1577-1582 - 2010
- [j8]Yanshan Xiao, Bo Liu, Dan Luo, Longbing Cao, Feiqi Deng, Zhifeng Hao:
Multi-agent system for customer relationship management with SVMs tool. Int. J. Intell. Inf. Database Syst. 4(2): 121-136 (2010) - [j7]Ruichu Cai, Zhifeng Hao, Wen Wen, Han Huang:
Kernel based gene expression pattern discovery and its application on cancer classification. Neurocomputing 73(13-15): 2562-2570 (2010) - [j6]Wen Wen, Zhifeng Hao, Xiaowei Yang:
Robust least squares support vector machine based on recursive outlier elimination. Soft Comput. 14(11): 1241-1251 (2010) - [c32]Xue-Qiang Li, Zhifeng Hao, Han Huang:
An evolutionary algorithm with sorted race mechanism for global optimization. ICMLC 2010: 1550-1555 - [c31]Zhifeng Hao, Han Huang, Haozhe Li, Shaohu Ling, Benqing Li:
A Relation-Based Model for Convergence Analysis of Evolutionary Algorithm. SEMCCO 2010: 190-197 - [c30]Han Huang, Zhifeng Hao, Zhaoquan Cai, Yifan Zhu:
Runtime Analysis of Evolutionary Programming Based on Cauchy Mutation. SEMCCO 2010: 222-229 - [c29]Xue-Qiang Li, Zhifeng Hao, Han Huang:
An Intelligence Model with Max-Min Strategy for Constrained Evolutionary Optimization. SEMCCO 2010: 262-269 - [c28]Yu Shan Zhang, Zhifeng Hao:
Runtime Analysis of (1+1) Evolutionary Algorithm for a TSP Instance. SEMCCO 2010: 296-304 - [c27]Zhaoquan Cai, Han Huang, Zhifeng Hao, Xueqiang Li:
Evolutionary Programming Improved by an Individual Random Difference Mutation. SEMCCO 2010: 338-343
2000 – 2009
- 2009
- [j5]Ruichu Cai, Zhifeng Hao, Xiaowei Yang, Wen Wen:
An efficient gene selection algorithm based on mutual information. Neurocomputing 72(4-6): 991-999 (2009) - [j4]Han Huang, Chunguo Wu, Zhifeng Hao:
A Pheromone-Rate-Based Analysis on the Convergence Time of ACO Algorithm. IEEE Trans. Syst. Man Cybern. Part B 39(4): 910-923 (2009) - [c26]Zhiyong Lin, Zhifeng Hao, Xiaowei Yang, Xiaolan Liu:
Several SVM Ensemble Methods Integrated with Under-Sampling for Imbalanced Data Learning. ADMA 2009: 536-544 - [c25]Yanshan Xiao, Bo Liu, Longbing Cao, Xindong Wu, Chengqi Zhang, Zhifeng Hao, Fengzhao Yang, Jie Cao:
Multi-sphere Support Vector Data Description for Outliers Detection on Multi-distribution Data. ICDM Workshops 2009: 82-87 - 2008
- [j3]Wen Wen, Zhifeng Hao, Xiaowei Yang:
A heuristic weight-setting strategy and iteratively updating algorithm for weighted least-squares support vector regression. Neurocomputing 71(16-18): 3096-3103 (2008) - [j2]Bo Liu, Zhifeng Hao, Eric C. C. Tsang:
Nesting One-Against-One Algorithm Based on SVMs for Pattern Classification. IEEE Trans. Neural Networks 19(12): 2044-2052 (2008) - [c24]Zhiyong Lin, Zhifeng Hao, Xiaowei Yang:
Evolutionary support center machine. IEEE Congress on Evolutionary Computation 2008: 1901-1906 - 2007
- [j1]Bo Liu, Zhifeng Hao, Xiaowei Yang:
Nesting Algorithm for Multi-Classification Problems. Soft Comput. 11(4): 383-389 (2007) - [c23]Zhifeng Hao, Zhenhua He, Xiaowei Yang:
An Accelerated SMO-Type Online Learning Algorithm. CIS 2007: 65-69 - [c22]Qianfeng Cai, Zhifeng Hao, Xiaowei Yang:
Successive Overrelaxation for Mamdani Fuzzy Systems. FSKD (3) 2007: 699-705 - [c21]Zhifeng Hao, Wen Wen, Zhou Liu, Xiaowei Yang:
Real-Time Foreground-Background Segmentation Using Adaptive Support Vector Machine Algorithm. ICANN (2) 2007: 603-610 - [c20]Zhifeng Hao, Han Huang, Yong Qin, Ruichu Cai:
An ACO Algorithm with Adaptive Volatility Rate of Pheromone Trail. International Conference on Computational Science (4) 2007: 1167-1170 - [c19]Qianfeng Cai, Zhifeng Hao, Shaohua Pan:
The Solution of Linear Programming with LR-Fuzzy Numbers in Objective Function. ICFIE 2007: 988-999 - [c18]Ruichu Cai, Zhifeng Hao, Wen Wen:
A Novel Gene Ranking Algorithm Based on Random Subspace Method. IJCNN 2007: 219-223 - [c17]Xu Xu, Yuxiao Zhang, Yanchun Liang, Xiaowei Yang, Zhifeng Hao:
An Improved Fuzzy Neural Network for Ultrasonic Motors Control. ISNN (1) 2007: 8-13 - 2006
- [c16]Han Huang, Zhifeng Hao:
ACO for Continuous Optimization Based on Discrete Encoding. ANTS Workshop 2006: 504-505 - [c15]Han Huang, Xiaowei Yang, Zhifeng Hao, Ruichu Cai:
A Novel ACO Algorithm with Adaptive Parameter. ICIC (3) 2006: 12-21 - [c14]Kun Tu, Zhifeng Hao, Ming Chen:
PSO with Improved Strategy and Topology for Job Shop Scheduling. ICNC (2) 2006: 146-155 - [c13]Wen Wen, Zhifeng Hao, Zhuangfeng Shao, Xiaowei Yang, Ming Chen:
A Heuristic Weight-Setting Algorithm for Robust Weighted Least Squares Support Vector Regression. ICONIP (1) 2006: 773-781 - [c12]Zhifeng Hao, Wen Wen, Xiaowei Yang, Jie Lu, Guangquan Zhang:
A Fast Data Preprocessing Procedure for Support Vector Regression. IDEAL 2006: 48-56 - [c11]Zhuangfeng Shao, Xiaowei Yang, Wen Wen, Zhifeng Hao:
A Local-Density-Ratio Based Algorithm for Setting Weight in Weighted Least Squares Support Vector Machine. ISDA (1) 2006: 167-171 - [c10]Shu Yu, Xiaowei Yang, Zhifeng Hao, Yanchun Liang:
An Adaptive Support Vector Machine Learning Algorithm for Large Classification Problem. ISNN (1) 2006: 981-990 - [c9]Bo Liu, Xiaowei Yang, Zhifeng Hao:
Binary Tree Support Vector Machine Based on Kernel Fisher Discriminant for Multi-classification. ISNN (1) 2006: 997-1003 - [c8]Jingqing Jiang, Chuyi Song, Chunguo Wu, Yanchun Liang, Xiaowei Yang, Zhifeng Hao:
Mutual Conversion of Regression and Classification Based on Least Squares Support Vector Machines. ISNN (1) 2006: 1010-1015 - [c7]Yanchun Liang, Jie Zhang, Xu Xu, Xiaowei Yang, Zhifeng Hao:
A Dynamic Time Delay Neural Network for Ultrasonic Motor Identification and Control. ISNN (2) 2006: 1084-1089 - [c6]Zhifeng Hao, Han Huang, Xili Zhang, Kun Tu:
A Time Complexity Analysis of ACO for Linear Functions. SEAL 2006: 513-520 - 2005
- [c5]Han Huang, Xiaowei Yang, Zhifeng Hao, Chunguo Wu, Yanchun Liang, Xi Zhao:
Hybrid Chromosome Genetic Algorithm for Generalized Traveling Salesman Problems. ICNC (3) 2005: 137-140 - [c4]Chunguo Wu, Yanchun Liang, Xiaowei Yang, Zhifeng Hao:
Equivalence of Classification and Regression Under Support Vector Machine Theory. ICNC (3) 2005: 1257-1260 - [c3]Zhifeng Hao, Bo Liu, Xiaowei Yang, Yanchun Liang, Feng Zhao:
Twi-Map Support Vector Machine for Multi-classification Problems. ISNN (1) 2005: 869-874 - [c2]Qin Liao, Huimin Gu, Zhifeng Hao, Zhonghua Tang:
Fuzzy Comprehensive Evaluation of E-commerce and Process Improvement. WINE 2005: 366-374 - 2004
- [c1]Zhifeng Hao, Shu Yu, Xiaowei Yang, Feng Zhao, Rong Hu, Yanchun Liang:
Online LS-SVM Learning for Classification Problems Based on Incremental Chunk. ISNN (1) 2004: 558-564
Coauthor Index
[j178] [j177] [j166] [j165] [j164] [j162] [j154] [j153] [c129] [c126] [c125] [c124] [c123] [c122] [c121] [c118] [c117] [c116] [c115] [i52] [i51] [i50] [i49] [i48] [i47] [i45] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [j152] [j148] [j146] [j145] [j138] [c110] [c109] [c108] [c107] [c106] [c103] [i33] [i32] [i31] [i30] [i29] [i27] [i26] [i24] [i23] [i22] [j133] [j131] [j130] [j129] [j126] [j122] [c102] [i19] [j118] [j114] [j113] [j112] [j108] [j107] [c98] [c95] [c93] [c92] [i18] [i17] [i16] [i15] [i14] [i13] [j104] [j103] [j102] [j101] [j100] [j99] [j98] [j91] [j90] [c89] [c88] [i12] [i11] [i10] [i9] [j89] [j88] [j81] [j79] [j78] [c85] [c84] [c83] [c82] [i8] [j68] [j67] [j59] [c81] [c80] [c79] [c78] [c77] [c76] [c75] [j55] [j51] [c73] [c70] [c69] [i6] [j47] [c67] [c61] [j45] [j44] [j43] [j39] [c60] [c59] [j36] [c52] [j28] [j22] [j20] [c50] [c49] [c48] [c47] [c42] [c38] [c37] [j11] [j10] [j9] [j7] [j5] [c20] [c18] [c15]
[j175] [j159] [j158] [j149] [j141] [j140] [j137] [j125] [j124] [j119] [j109] [c94] [j95] [j94] [j93] [j86] [j85] [j77] [j75] [j74] [c87] [j71] [j69] [j64] [j63] [j62] [j60] [j57] [j56] [j54] [c74] [c71] [c68] [j50] [c66] [c65] [c64] [c63] [j32] [j25] [j17] [j15] [j14] [c40] [c36] [j11] [c34] [j7] [c32] [c31] [c30] [c29] [c27] [j4] [c20] [c16] [c15] [c6] [c5]
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-11 21:42 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
