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2020 – today
- 2024
[j76]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)- [j75]Yujia Zheng, Biwei Huang, Wei Chen, Joseph D. Ramsey, Mingming Gong, Ruichu Cai, Shohei Shimizu, Peter Spirtes, Kun Zhang:
Causal-learn: Causal Discovery in Python. J. Mach. Learn. Res. 25: 60:1-60:8 (2024) - [j74]Feng Xie, Biwei Huang, Zhengming Chen, Ruichu Cai, Clark Glymour, Zhi Geng, Kun Zhang:
Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables. J. Mach. Learn. Res. 25: 191:1-191:61 (2024) - [j73]Ruichu Cai, Ruming Lu, Wei Chen
, Zhifeng Hao:
Counterfactual contextual bandit for recommendation under delayed feedback. Neural Comput. Appl. 36(23): 14599-14613 (2024) - [j72]Ruichu Cai, Weilin Chen, Zeqin Yang, Shu Wan, Chen Zheng, Xiaoqing Yang, Jiecheng Guo:
Long-term causal effects estimation via latent surrogates representation learning. Neural Networks 176: 106336 (2024) - [j71]Zijian Li, Ruichu Cai, Jiawei Chen, Yuguang Yan, Wei Chen, Keli Zhang, Junjian Ye:
Time-series domain adaptation via sparse associative structure alignment: Learning invariance and variance. Neural Networks 180: 106659 (2024) - [j70]Wen Wen, Shiyuan Wu, Ruichu Cai, Zhifeng Hao:
Cross-KG Link Prediction by Learning Substructural Semantics. Neural Process. Lett. 56(1): 40 (2024) - [j69]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) - [j68]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) - [j67]Chengxing Lin, Wenju Xu, Jian Zhu, Yongwei Nie, Ruichu Cai, Xuemiao Xu:
PatchMixing Masked Autoencoders for 3D Point Cloud Self-Supervised Learning. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9882-9897 (2024) - [j66]Ruichu Cai, Fengzhu Wu, Zijian Li, Pengfei Wei, Lingling Yi, Kun Zhang:
Graph Domain Adaptation: A Generative View. ACM Trans. Knowl. Discov. Data 18(3): 60:1-60:24 (2024) - [j65]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) - [j64]Zijian Li, Ruichu Cai, Fengzhu Wu, Sili Zhang, Hao Gu, Yuexing Hao, Yuguang Yan:
TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2628-2639 (2024) - [j63]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) - [c69]Yuguang Yan, Yuanlin Chen, Shibo Wang, Hanrui Wu, Ruichu Cai:
Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion. AAAI 2024: 9232-9240 - [c68]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 - [c67]Yuguang Yan, Zhihao Xu, Canlin Yang, Jie Zhang, Ruichu Cai, Michael Kwok-Po Ng:
An Optimal Transport View for Subspace Clustering and Spectral Clustering. AAAI 2024: 16281-16289 - [c66]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 - [c65]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 - [c64]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 - [c63]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 - [c62]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 - [c61]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 - [c60]Qingwen Lin, Boyan Xu, Zhengting Huang, Ruichu Cai:
From Large to Tiny: Distilling and Refining Mathematical Expertise for Math Word Problems with Weakly Supervision. ICIC (LNAI 6) 2024: 251-262 - [c59]Feng Xie, Zhengming Chen, Shanshan Luo, Wang Miao, Ruichu Cai, Zhi Geng:
Automating the Selection of Proxy Variables of Unmeasured Confounders. ICML 2024 - [c58]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 - [c57]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 - [c56]Yuguang Yan, Hao Zhou, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao:
Reducing Balancing Error for Causal Inference via Optimal Transport. ICML 2024 - [c55]Jiahao Li, Ruichu Cai, Yuguang Yan:
Combinatorial Routing for Neural Trees. IJCAI 2024: 4407-4415 - [c54]Wei Chen, Xiaokai Huang, Zijian Li, Ruichu Cai, Zhiyi Huang, Zhifeng Hao:
Individual Causal Structure Learning from Population Data. IJCAI 2024: 7109-7117 - [i55]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) - [i54]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) - [i53]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) - [i52]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) - [i51]Zijian Li, Ruichu Cai, Haiqin Huang, Sili Zhang, Yuguang Yan, Zhifeng Hao, Zhenghua Dong:
Debiased Model-based Interactive Recommendation. CoRR abs/2402.15819 (2024) - [i50]Qingwen Lin, Boyan Xu, Zhengting Huang, Ruichu Cai:
From Large to Tiny: Distilling and Refining Mathematical Expertise for Math Word Problems with Weakly Supervision. CoRR abs/2403.14390 (2024) - [i49]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) - [i48]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) - [i47]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) - [i46]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) - [i45]Feng Xie, Zhengming Chen, Shanshan Luo, Wang Miao, Ruichu Cai, Zhi Geng:
Automating the Selection of Proxy Variables of Unmeasured Confounders. CoRR abs/2405.16130 (2024) - [i44]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) - [i43]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) - [i42]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) - [i41]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) - [i40]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) - [i39]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) - [i38]Guimin Hu, Yi Xin, Weimin Lyu, Haojian Huang, Chang Sun, Zhihong Zhu, Lin Gui, Ruichu Cai:
Recent Trends of Multimodal Affective Computing: A Survey from NLP Perspective. CoRR abs/2409.07388 (2024) - 2023
- [j62]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) - [j61]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) - [j60]Yanshan Xiao, Liangwang Zhang, Bo Liu, Ruichu Cai, Zhifeng Hao:
Multi-task ordinal regression with labeled and unlabeled data. Inf. Sci. 649: 119669 (2023) - [j59]Wen Wen, Wencui Wang, Zhifeng Hao, Ruichu Cai:
Factorizing time-heterogeneous Markov transition for temporal recommendation. Neural Networks 159: 84-96 (2023) - [j58]Jian Zhu, Qingwu Zhang, Lunke Fei, Ruichu Cai, Yuan Xie, Bin Sheng, Xiaokang Yang:
FFFN: Frame-By-Frame Feedback Fusion Network for Video Super-Resolution. IEEE Trans. Multim. 25: 6821-6835 (2023) - [j57]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) - [c53]Ruichu Cai, Zeqin Yang, Weilin Chen, Yuguang Yan, Zhifeng Hao:
Generalization Bound for Estimating Causal Effects from Observational Network Data. CIKM 2023: 163-172 - [c52]Ruichu Cai, Zhiyi Huang, Wei Chen, Zhifeng Hao, Kun Zhang:
Causal Discovery with Latent Confounders Based on Higher-Order Cumulants. ICML 2023: 3380-3407 - [c51]Zhifeng Hao, Haipeng Zhu, Wei Chen, Ruichu Cai:
Latent Causal Dynamics Model for Model-Based Reinforcement Learning. ICONIP (2) 2023: 219-230 - [c50]Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai:
Some General Identification Results for Linear Latent Hierarchical Causal Structure. IJCAI 2023: 3568-3576 - [c49]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 - [c48]Zijian Li, Ruichu Cai, Guangyi Chen, Boyang Sun, Zhifeng Hao, Kun Zhang:
Subspace Identification for Multi-Source Domain Adaptation. NeurIPS 2023 - [i37]Yan Zeng, Ruichu Cai, Fuchun Sun, Libo Huang, Zhifeng Hao:
A Survey on Causal Reinforcement Learning. CoRR abs/2302.05209 (2023) - [i36]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) - [i35]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) - [i34]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) - [i33]Yujia Zheng, Biwei Huang, Wei Chen, Joseph D. Ramsey, Mingming Gong, Ruichu Cai, Shohei Shimizu, Peter Spirtes, Kun Zhang:
Causal-learn: Causal Discovery in Python. CoRR abs/2307.16405 (2023) - [i32]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) - [i31]Feng Xie, Biwei Huang, Zhengming Chen, Ruichu Cai, Clark Glymour, Zhi Geng, Kun Zhang:
Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables. CoRR abs/2308.06718 (2023) - [i30]Zijian Li, Ruichu Cai, Guangyi Chen, Boyang Sun, Zhifeng Hao, Kun Zhang:
Subspace Identification for Multi-Source Domain Adaptation. CoRR abs/2310.04723 (2023) - [i29]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) - [i28]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) - [i27]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) - [i26]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
- [j56]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) - [j55]Wei Chen, Jibin Chen, Ruichu Cai, Yuequn Liu, Zhifeng Hao:
Learning granger causality for non-stationary Hawkes processes. Neurocomputing 468: 22-32 (2022) - [j54]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) - [j53]Zhifeng Hao, Junhao Chen, Wen Wen, Biao Wu, Ruichu Cai:
Motif-based memory networks for complex-factoid question answering. Neurocomputing 485: 12-21 (2022) - [j52]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) - [j51]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) - [c47]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 - [c46]Yuequn Liu, Wenhui Zhu, Jie Qiao, Zhiyi Huang, Yu Xiang, Xuanzhi Chen, Wei Chen, Ruichu Cai:
Causal Alignment Based Fault Root Causes Localization for Wireless Network. ICASSP 2022: 9311-9315 - [i25]Ruichu Cai, Fengzhu Wu, Zijian Li, Jie Qiao, Wei Chen, Yuexing Hao, Hao Gu:
REST: Debiased Social Recommendation via Reconstructing Exposure Strategies. CoRR abs/2201.04952 (2022) - [i24]Zijian Li, Ruichu Cai, Jiawei Chen, Yuguan Yan, Wei Chen, Keli Zhang, Junjian Ye:
Time-Series Domain Adaptation via Sparse Associative Structure Alignment: Learning Invariance and Variance. CoRR abs/2205.03554 (2022) - [i23]Ruichu Cai, Weilin Chen, Zeqin Yang, Shu Wan, Chen Zheng, Xiaoqing Yang, Jiecheng Guo:
Long-term Causal Effects Estimation via Latent Surrogates Representation Learning. CoRR abs/2208.04589 (2022) - [i22]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
- [j50]Jie Qiao, Yiming Bai, Ruichu Cai, Zhifeng Hao:
Learning causal structures using hidden compact representation. Neurocomputing 463: 328-333 (2021) - [j49]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) - [j48]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) - [j47]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) - [j46]Zijian Li, Ruichu Cai, Hong Wei Ng, Marianne Winslett, Tom Z. J. Fu, Boyan Xu, Xiaoyan Yang, Zhenjie Zhang:
Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems. ACM Trans. Intell. Syst. Technol. 12(2): 23:1-23:21 (2021) - [j45]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) - [j44]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) - [c45]Ruichu Cai, Hao Zhang, Wen Liu, Shenghua Gao, Zhifeng Hao:
Appearance-Motion Memory Consistency Network for Video Anomaly Detection. AAAI 2021: 938-946 - [c44]Ruichu Cai, Jiawei Chen, Zijian Li, Wei Chen, Keli Zhang, Junjian Ye, Zhuozhang Li, Xiaoyan Yang, Zhenjie Zhang:
Time Series Domain Adaptation via Sparse Associative Structure Alignment. AAAI 2021: 6859-6867 - [c43]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 - [c42]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 - [c41]Ruichu Cai, Jinjie Yuan, Boyan Xu, Zhifeng Hao:
SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL. NeurIPS 2021: 7664-7676 - [c40]Petar Stojanov, Zijian Li, Mingming Gong, Ruichu Cai, Jaime G. Carbonell, Kun Zhang:
Domain Adaptation with Invariant Representation Learning: What Transformations to Learn? NeurIPS 2021: 24791-24803 - [i21]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) - [i20]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) - [i19]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) - [i18]Ruichu Cai, Fengzhu Wu, Zijian Li, Pengfei Wei, Lingling Yi, Kun Zhang:
Graph Domain Adaptation: A Generative View. CoRR abs/2106.07482 (2021) - [i17]Ruichu Cai, Jinjie Yuan, Boyan Xu, Zhifeng Hao:
SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL. CoRR abs/2111.00653 (2021) - [i16]Zijian Li, Ruichu Cai, Tom Z. J. Fu, Kun Zhang:
Transferable Time-Series Forecasting under Causal Conditional Shift. CoRR abs/2111.03422 (2021) - [i15]Zijian Li, Ruichu Cai, Fengzhu Wu, Sili Zhang, Hao Gu, Yuexing Hao, Yuguang:
TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations. CoRR abs/2111.07378 (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
- [j43]Ruichu Cai, Xuexin Chen, Yuan Fang, Min Wu, Yuexing Hao, Jonathan D. Wren:
Dual-dropout graph convolutional network for predicting synthetic lethality in human cancers. Bioinform. 36(16): 4458-4465 (2020) - [j42]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) - [j41]Lijuan Wang, Jiawen Huang, Ming Yin, Ruichu Cai, Zhifeng Hao:
Block diagonal representation learning for robust subspace clustering. Inf. Sci. 526: 54-67 (2020) - [j40]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) - [j39]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) - [j38]Biao Wu, Wen Wen, Zhifeng Hao, Ruichu Cai:
Multi-context aware user-item embedding for recommendation. Neural Networks 124: 86-94 (2020) - [j37]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) - [j36]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) - [j35]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) - [j34]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) - [c39]Ruichu Cai, Zhihao Liang, Boyan Xu, Zijian Li, Yuexing Hao, Yao Chen:
TAG : Type Auxiliary Guiding for Code Comment Generation. ACL 2020: 291-301 - [c38]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 - [c37]Ruichu Cai, Kaibin Guo, Boyan Xu, Xiaoyan Yang, Zhenjie Zhang:
Meta Multi-Task Learning for Speech Emotion Recognition. INTERSPEECH 2020: 3336-3340 - [c36]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]Ruichu Cai, Zhihao Liang, Boyan Xu, Zijian Li, Yuexing Hao, Yao Chen:
TAG : Type Auxiliary Guiding for Code Comment Generation. CoRR abs/2005.02835 (2020) - [i11]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) - [i10]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) - [i9]Ruichu Cai, Jiawei Chen, Zijian Li, Wei Chen, Keli Zhang, Junjian Ye, Zhuozhang Li, Xiaoyan Yang, Zhenjie Zhang:
Time Series Domain Adaptation via Sparse Associative Structure Alignment. CoRR abs/2012.11797 (2020) - [i8]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) - [i7]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
- [j33]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) - [j32]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) - [j31]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) - [j30]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) - [j29]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) - [c35]Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao:
Causal Discovery with Cascade Nonlinear Additive Noise Model. IJCAI 2019: 1609-1615 - [c34]Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao:
Learning Disentangled Semantic Representation for Domain Adaptation. IJCAI 2019: 2060-2066 - [c33]Feng Xie, Ruichu Cai, Yan Zeng, Zhifeng Hao:
Causal Discovery of Linear Non-Gaussian Acyclic Model with Small Samples. IScIDE (2) 2019: 381-393 - [c32]Ruichu Cai, Feng Xie, Clark Glymour, Zhifeng Hao, Kun Zhang:
Triad Constraints for Learning Causal Structure of Latent Variables. NeurIPS 2019: 12863-12872 - [i6]Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao:
Causal Discovery with Cascade Nonlinear Additive Noise Models. CoRR abs/1905.09442 (2019) - [i5]Zijian Li, Ruichu Cai, Kok-Soon Chai, Hong Wei Ng, Hoang Dung Vu, Marianne Winslett, Tom Z. J. Fu, Boyan Xu, Xiaoyan Yang, Zhenjie Zhang:
Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems. CoRR abs/1910.06761 (2019) - [i4]Jie Qiao, Zijian Li, Boyan Xu, Ruichu Cai, Kun Zhang:
Disentanglement Challenge: From Regularization to Reconstruction. CoRR abs/1912.00155 (2019) - 2018
- [j28]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) - [j27]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) - [j26]Meihua Wang, Jiaming Mai, Yun Liang, Ruichu Cai, Tom Zhengjia Fu, Zhenjie Zhang:
A component-driven distributed framework for real-time video dehazing. Multim. Tools Appl. 77(9): 11259-11276 (2018) - [j25]Meihua Wang, Jiaming Mai, Ruichu Cai, Yun Liang, Hua Wan:
Single image deraining using deep convolutional networks. Multim. Tools Appl. 77(19): 25905-25918 (2018) - [j24]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) - [c31]Ruichu Cai, Jie Qiao, Zhenjie Zhang, Zhifeng Hao:
SELF: Structural Equational Likelihood Framework for Causal Discovery. AAAI 2018: 1787-1794 - [c30]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 - [c29]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 - [c28]Li Wang, Ruichu Cai, Tom Z. J. Fu, Jiong He, Zijie Lu, Marianne Winslett, Zhenjie Zhang:
Waterwheel: Realtime Indexing and Temporal Range Query Processing over Massive Data Streams. ICDE 2018: 269-280 - [c27]Ruichu Cai, Qiqi Zhen, Zhifeng Hao:
Identification of Causality Among Gene Mutations Through Local Causal Association Rule Discovery. ICONIP (7) 2018: 465-477 - [c26]Yingchao Cheng, Zhifeng Hao, Ruichu Cai, Wen Wen:
HPC2-ARS: An Architecture for Real-Time Analytic of Big Data Streams. ICWS 2018: 319-322 - [c25]Ruichu Cai, Boyan Xu, Zhenjie Zhang, Xiaoyan Yang, Zijian Li, Zhihao Liang:
An Encoder-Decoder Framework Translating Natural Language to Database Queries. IJCAI 2018: 3977-3983 - [c24]Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao:
Causal Discovery from Discrete Data using Hidden Compact Representation. NeurIPS 2018: 2671-2679 - [c23]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
- [j23]Ruichu Cai, Mei Liu, Yong Hu, Brittany Melton, Michael E. Matheny, Hua Xu, Lian Duan, Lemuel R. Waitman:
Identification of adverse drug-drug interactions through causal association rule discovery from spontaneous adverse event reports. Artif. Intell. Medicine 76: 7-15 (2017) - [j22]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) - [j21]Ruichu Cai, Yinxian Lin, Peng Ai:
SBV: 基于SVG的生物信息可视化软件 (SBV: A Bioinformatics Visualization Software Based on SVG). 计算机科学 44(10): 33-37 (2017) - [j20]Ruichu Cai, Zijie Lu, Li Wang, Zhenjie Zhang, Tom Z. J. Fu, Marianne Winslett:
DITIR: Distributed Index for High Throughput Trajectory Insertion and Real-time Temporal Range Query. Proc. VLDB Endow. 10(12): 1865-1868 (2017) - [j19]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) - [c22]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 - [c21]Meihua Wang, Jiaming Mai, Yun Liang, Ruichu Cai, Tom Zhengjia, Zhenjie Zhang:
Component-Based Distributed Framework for Coherent and Real-Time Video Dehazing. CSE/EUC (1) 2017: 321-324 - [c20]Ruichu Cai, Binjun Zhu, Lei Ji, Tianyong Hao, Jun Yan, Wenyin Liu:
An CNN-LSTM Attention Approach to Understanding User Query Intent from Online Health Communities. ICDM Workshops 2017: 430-437 - [c19]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 - [c18]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 - [i3]Ruichu Cai, Zhenjie Zhang, Zhifeng Hao:
SADA: A General Framework to Support Robust Causation Discovery with Theoretical Guarantee. CoRR abs/1707.01283 (2017) - [i2]Ruichu Cai, Boyan Xu, Xiaoyan Yang, Zhenjie Zhang, Zijian Li:
An Encoder-Decoder Framework Translating Natural Language to Database Queries. CoRR abs/1711.06061 (2017) - 2016
- [j18]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) - [c17]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 - [c16]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 - [i1]Meihua Wang, Jiaming Mai, Yun Liang, Tom Z. J. Fu, Zhenjie Zhang, Ruichu Cai:
Component-Based Distributed Framework for Coherent and Real-Time Video Dehazing. CoRR abs/1609.02035 (2016) - 2015
- [j17]Zhifeng Hao, Hao Zhang, Ruichu Cai, Wen Wen, Zhihao Li:
Causal discovery on high dimensional data. Appl. Intell. 42(3): 594-607 (2015) - [j16]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) - [j15]Lijuan Wang, Zhifeng Hao, Ruichu Cai, Wen Wen:
Enhanced soft subspace clustering through hybrid dissimilarity. J. Intell. Fuzzy Syst. 29(4): 1395-1405 (2015) - [j14]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) - [c15]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 - [c14]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 - [e2]Reynold Cheng, Bin Cui, Zhenjie Zhang, Ruichu Cai, Jia Xu:
Web Technologies and Applications - 17th Asia-PacificWeb Conference, APWeb 2015, Guangzhou, China, September 18-20, 2015, Proceedings. Lecture Notes in Computer Science 9313, Springer 2015, ISBN 978-3-319-25254-4 [contents] - [e1]Ruichu Cai, Kang Chen, Liang Hong, Xiaoyan Yang, Rong Zhang, Lei Zou:
Web Technologies and Applications - APWeb 2015 Workshops, BSD, WDMA, and BDAT, Guangzhou, China, September 18, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9461, Springer 2015, ISBN 978-3-319-28120-9 [contents] - 2014
- [j13]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) - [j12]Mei Liu, Ruichu Cai, Yong Hu, Michael E. Matheny, Jingchun Sun, Jun Hu, Hua Xu:
Determining molecular predictors of adverse drug reactions with causality analysis based on structure learning. J. Am. Medical Informatics Assoc. 21(2): 245-251 (2014) - [c13]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 - 2013
- [j11]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) - [j10]Yong Hu, Xiangzhou Zhang, E. W. T. Ngai, Ruichu Cai, Mei Liu:
Software project risk analysis using Bayesian networks with causality constraints. Decis. Support Syst. 56: 439-449 (2013) - [j9]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) - [j8]Meihua Wang, Shumin Wu, Ruichu Cai:
Two novel interestingness measures for gene association rule mining. Neural Comput. Appl. 23(3-4): 835-841 (2013) - [j7]Ruichu Cai, Zhenjie Zhang, Zhifeng Hao:
Causal gene identification using combinatorial V-structure search. Neural Networks 43: 63-71 (2013) - [c12]Zhifeng Hao, Jinlong Huang, Ruichu Cai, Wen Wen:
A Hybrid Approach for Large Scale Causality Discovery. ICIC (3) 2013: 1-6 - [c11]Zhifeng Hao, Jie Cheng, Ruichu Cai, Wen Wen, Lijuan Wang:
Chinese Sentiment Classification Based on the Sentiment Drop Point. ICIC (3) 2013: 55-60 - [c10]Ruichu Cai, Zhenjie Zhang, Zhifeng Hao:
SADA: A General Framework to Support Robust Causation Discovery. ICML (2) 2013: 208-216 - [c9]Li-Juan Wang, Zhifeng Hao, Ruichu Cai, Wen Wen:
An improved local adaptive clustering ensemble based on link analysis. ICMLC 2013: 10-15 - 2012
- [c8]Meihua Wang, XiongBin Su, FuMing Liu, Ruichu Cai:
A cancer classification method based on association rules. FSKD 2012: 1094-1098 - [c7]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 - [c6]Wen Wen, Zhifeng Hao, Ruichu Cai, Zhuangfeng Shao:
Gaussian process learning for image classification based on low-level features. ICNC 2012: 237-241 - [c5]Zhifeng Hao, Jianming Liu, Xueming Yan, Wen Wen, Ruichu Cai:
Alpha Matting Using Artificial Immune Network. ICSI (1) 2012: 300-309 - 2011
- [j6]Ruichu Cai, Zhifeng Hao, Xiaowei Yang, Han Huang:
A new hybrid method for gene selection. Pattern Anal. Appl. 14(1): 1-8 (2011) - [j5]Ruichu Cai, Zhenjie Zhang, Zhifeng Hao:
BASSUM: A Bayesian semi-supervised method for classification feature selection. Pattern Recognit. 44(4): 811-820 (2011) - [j4]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) - 2010
- [j3]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) - [j2]Xili Zhang, Wei-Guo Zhang, Ruichu Cai:
Portfolio adjusting optimization under credibility measures. J. Comput. Appl. Math. 234(5): 1458-1465 (2010)
2000 – 2009
- 2009
- [j1]Ruichu Cai, Zhifeng Hao, Xiaowei Yang, Wen Wen:
An efficient gene selection algorithm based on mutual information. Neurocomputing 72(4-6): 991-999 (2009) - [c4]Zhenjie Zhang, Yin Yang, Ruichu Cai, Dimitris Papadias, Anthony K. H. Tung:
Kernel-based skyline cardinality estimation. SIGMOD Conference 2009: 509-522 - 2007
- [c3]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 - [c2]Ruichu Cai, Zhifeng Hao, Wen Wen:
A Novel Gene Ranking Algorithm Based on Random Subspace Method. IJCNN 2007: 219-223 - 2006
- [c1]Han Huang, Xiaowei Yang, Zhifeng Hao, Ruichu Cai:
A Novel ACO Algorithm with Adaptive Parameter. ICIC (3) 2006: 12-21
Coauthor Index
[j76] [j73] [j70] [j69] [j68] [j65] [j63] [c68] [c66] [c65] [c64] [c63] [c62] [c61] [c58] [c57] [c56] [c54] [i55] [i54] [i53] [i52] [i51] [i49] [i48] [i47] [i46] [i44] [i43] [i42] [i41] [i40] [i39] [j62] [j61] [j60] [j59] [j57] [c53] [c52] [c51] [c50] [c49] [c48] [i37] [i36] [i35] [i34] [i32] [i30] [i29] [i28] [i27] [i26] [j56] [j55] [j54] [j53] [j52] [j51] [c47] [i22] [j50] [j49] [j48] [j47] [j45] [j44] [c45] [c43] [c42] [c41] [i21] [i20] [i19] [i17] [i14] [i13] [j42] [j41] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [c38] [c36] [i11] [i10] [i8] [i7] [j33] [j32] [j31] [j30] [j29] [c35] [c34] [c33] [c32] [i6] [j28] [j27] [j24] [c31] [c30] [c29] [c27] [c26] [c24] [c23] [j22] [j19] [c22] [c19] [c18] [i3] [j18] [c17] [c16] [j17] [j16] [j15] [j14] [c15] [c14] [j13] [c13] [j11] [j9] [j7] [c12] [c11] [c10] [c9] [c7] [c6] [c5] [j6] [j5] [j4] [j3] [j1] [c3] [c2] [c1]
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