Zhi-Hua Zhou

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 337

Top Venues

Publications

Long-Fei Li, Peng Zhao, Zhi-Hua Zhou
Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition. AISTATS (2024)
Peng Tan, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou
Towards enabling learnware to handle heterogeneous feature spaces. Mach. Learn. 113 (4) (2024)
Tian-Zuo Wang, Lue Tao, Zhi-Hua Zhou
New Rules for Causal Identification with Background Knowledge. CoRR (2024)
Long-Fei Li, Peng Zhao, Zhi-Hua Zhou
Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function Approximation. AAAI (2024)
Yi-Xiao He, Dan-Xuan Liu, Shen-Huan Lyu, Chao Qian, Zhi-Hua Zhou
Multi-class imbalance problem: A multi-objective solution. Inf. Sci. 680 (2024)
Yu-Cheng He, Yao-Xiang Ding, Han-Jia Ye, Zhi-Hua Zhou
Learning Only When It Matters: Cost-Aware Long-Tailed Classification. AAAI (2024)
Yi-Xiao He, Yu-Chang Wu, Chao Qian, Zhi-Hua Zhou
Margin distribution and structural diversity guided ensemble pruning. Mach. Learn. 113 (6) (2024)
Zhi-Hao Tan, Jian-Dong Liu, Xiao-Dong Bi, Peng Tan, Qin-Cheng Zheng, Hai-Tian Liu, Yi Xie, Xiao-Chuan Zou, Yang Yu, Zhi-Hua Zhou
Beimingwu: A Learnware Dock System. CoRR (2024)
Xiaowen Yang, Jie-Jing Shao, Wei-Wei Tu, Yufeng Li, Wang-Zhou Dai, Zhi-Hua Zhou
Safe Abductive Learning in the Presence of Inaccurate Rules. AAAI (2024)
Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou
Towards Making Learnware Specification and Market Evolvable. AAAI (2024)
Chengxing Jia, Chenxiao Gao, Hao Yin, Fuxiang Zhang, Xiong-Hui Chen, Tian Xu, Lei Yuan, Zongzhang Zhang, Zhi-Hua Zhou, Yang Yu
Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning. ICLR (2024)
Zheng Xie, Yu Liu, Hao-Yuan He, Ming Li, Zhi-Hua Zhou
Weakly Supervised AUC Optimization: A Unified Partial AUC Approach. IEEE Trans. Pattern Anal. Mach. Intell. 46 (7) (2024)
Long-Fei Li, Peng Zhao, Zhi-Hua Zhou
Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition. CoRR (2024)
Peng Zhao, Jia-Wei Shan, Yu-Jie Zhang, Zhi-Hua Zhou
Exploratory machine learning with unknown unknowns. Artif. Intell. 327 (2024)
Lanjihong Ma, Zhen-Yu Zhang, Yao-Xiang Ding, Zhi-Hua Zhou
Handling Varied Objectives by Online Decision Making. KDD (2024)
Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou
Theoretical Exploration of Flexible Transmitter Model. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Long-Fei Li, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation. CoRR (2024)
Tian Qin, Long-Fei Li, Tian-Zuo Wang, Zhi-Hua Zhou
Tracking treatment effect heterogeneity in evolving environments. Mach. Learn. 113 (6) (2024)
Zhi-Hao Tan, Jian-Dong Liu, Xiao-Dong Bi, Peng Tan, Qin-Cheng Zheng, Hai-Tian Liu, Yi Xie, Xiao-Chuan Zou, Yang Yu, Zhi-Hua Zhou
Beimingwu: A Learnware Dock System. KDD (2024)
Zhi-Hua Zhou, Zhi-Hao Tan
Learnware: small models do big. Sci. China Inf. Sci. 67 (1) (2024)
Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou
Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble Approach. NeurIPS (2023)
Long-Fei Li, Peng Zhao, Zhi-Hua Zhou
Dynamic Regret of Adversarial Linear Mixture MDPs. NeurIPS (2023)
Yi Xie, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou
Identifying Helpful Learnwares Without Examining the Whole Market. ECAI (2023)
Yu-Xuan Huang, Zequn Sun, Guangyao Li, Xiaobin Tian, Wang-Zhou Dai, Wei Hu, Yuan Jiang, Zhi-Hua Zhou
Enabling Abductive Learning to Exploit Knowledge Graph. IJCAI (2023)
Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou
Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent. NeurIPS (2023)
Tian-Zuo Wang, Tian Qin, Zhi-Hua Zhou
Sound and complete causal identification with latent variables given local background knowledge. Artif. Intell. 322 (2023)
Jing Wang, Peng Zhao, Zhi-Hua Zhou
Revisiting Weighted Strategy for Non-stationary Parametric Bandits. CoRR (2023)
Zhi-Hua Zhou
Stream Efficient Learning. CoRR (2023)
Xin-Qiang Cai, Yao-Xiang Ding, Zi-Xuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou
Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning. ICLR (2023)
Jing Wang, Peng Zhao, Zhi-Hua Zhou
Revisiting Weighted Strategy for Non-stationary Parametric Bandits. AISTATS (2023)
Lijun Zhang, Peng Zhao, Zhen-Hua Zhuang, Tianbao Yang, Zhi-Hua Zhou
Stochastic Approximation Approaches to Group Distributionally Robust Optimization. NeurIPS (2023)
Peng Zhao, Yu-Hu Yan, Yu-Xiang Wang, Zhi-Hua Zhou
Non-stationary Online Learning with Memory and Non-stochastic Control. J. Mach. Learn. Res. 24 (2023)
Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou
Learning Causal Structure on Mixed Data with Tree-Structured Functional Models. SDM (2023)
Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou
Rehearsal Learning for Avoiding Undesired Future. NeurIPS (2023)
Xinran Xie, Man-Jie Yuan, Xuetong Bai, Wei Gao, Zhi-Hua Zhou
On the Gini-impurity Preservation For Privacy Random Forests. NeurIPS (2023)
Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou
Universal Online Learning with Gradual Variations: A Multi-layer Online Ensemble Approach. CoRR (2023)
Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li, Zhi-Hua Zhou
Identifying Useful Learnwares for Heterogeneous Label Spaces. ICML (2023)
Kai Ming Ting, Bi-Cun Xu, Takashi Washio, Zhi-Hua Zhou
Isolation Distributional Kernel: A New Tool for Point and Group Anomaly Detections. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Peng Tan, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou
Handling Learnwares Developed from Heterogeneous Feature Spaces without Auxiliary Data. IJCAI (2023)
Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou
Fast Rates in Time-Varying Strongly Monotone Games. ICML (2023)
Lijun Zhang, Peng Zhao, Tianbao Yang, Zhi-Hua Zhou
Stochastic Approximation Approaches to Group Distributionally Robust Optimization. CoRR (2023)
Tian-Zuo Wang, Tian Qin, Zhi-Hua Zhou
Estimating Possible Causal Effects with Latent Variables via Adjustment. ICML (2023)
Peng Zhao, Yan-Feng Xie, Lijun Zhang, Zhi-Hua Zhou
Efficient Methods for Non-stationary Online Learning. CoRR (2023)
Qin-Cheng Zheng, Shen-Huan Lyu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou
On the Consistency Rate of Decision Tree Learning Algorithms. AISTATS (2023)
Yuyang Qian, Yong Bai, Zhen-Yu Zhang, Peng Zhao, Zhi-Hua Zhou
Handling New Class in Online Label Shift. ICDM (2023)
Guangda Huzhang, Zhen-Jia Pang, Yongqing Gao, Yawen Liu, Weijie Shen, Wen-Ji Zhou, Qianying Lin, Qing Da, Anxiang Zeng, Han Yu, Yang Yu, Zhi-Hua Zhou
AliExpress Learning-to-Rank: Maximizing Online Model Performance Without Going Online. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Jia-Wei Shan, Peng Zhao, Zhi-Hua Zhou
Beyond Performative Prediction: Open-environment Learning with Presence of Corruptions. AISTATS (2023)
Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou
Enabling Knowledge Refinement upon New Concepts in Abductive Learning. AAAI (2023)
Zheng Xie, Yu Liu, Haoyuan He, Ming Li, Zhi-Hua Zhou
Weakly Supervised AUC Optimization: A Unified Partial AUC Approach. CoRR (2023)
Lei Yuan, Lihe Li, Ziqian Zhang, Feng Chen, Tianyi Zhang, Cong Guan, Yang Yu, Zhi-Hua Zhou
Learning to Coordinate with Anyone. DAI (2023)
Lei Yuan, Lihe Li, Ziqian Zhang, Feng Chen, Tianyi Zhang, Cong Guan, Yang Yu, Zhi-Hua Zhou
Learning to Coordinate with Anyone. CoRR (2023)
Xi-Zhu Wu, Wenkai Xu, Song Liu, Zhi-Hua Zhou
Model Reuse With Reduced Kernel Mean Embedding Specification. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Songtao Han, Haijun Man, Mei Wang, Zhi-Hua Zhou, Jianfeng Cao, Wei Gao, Lue Chen, Jinsong Ping
Analysis and Demonstration of First Cross-Support Interferometry Tracking in China Mars Mission. Remote. Sens. 14 (16) (2022)
Haipeng Luo, Mengxiao Zhang, Peng Zhao, Zhi-Hua Zhou
Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits. COLT (2022)
Peng Zhao, Yu-Xiang Wang, Zhi-Hua Zhou
Non-stationary Online Learning with Memory and Non-stochastic Control. AISTATS (2022)
Shen-Huan Lyu, Yi-Xiao He, Zhi-Hua Zhou
Depth is More Powerful than Width with Prediction Concatenation in Deep Forest. NeurIPS (2022)
Zhi-Hao Tan, Yi Xie, Yuan Jiang, Zhi-Hua Zhou
Real-Valued Backpropagation is Unsuitable for Complex-Valued Neural Networks. NeurIPS (2022)
Mengxiao Zhang, Peng Zhao, Haipeng Luo, Zhi-Hua Zhou
No-Regret Learning in Time-Varying Zero-Sum Games. CoRR (2022)
Shao-Qun Zhang, Wei Gao, Zhi-Hua Zhou
Towards understanding theoretical advantages of complex-reaction networks. Neural Networks 151 (2022)
Shen-Huan Lyu, Lu Wang, Zhi-Hua Zhou
Improving generalization of deep neural networks by leveraging margin distribution. Neural Networks 151 (2022)
Yao-Xiang Ding, Xi-Zhu Wu, Kun Zhou, Zhi-Hua Zhou
Pre-Trained Model Reusability Evaluation for Small-Data Transfer Learning. NeurIPS (2022)
Tian-Zuo Wang, Tian Qin, Zhi-Hua Zhou
Sound and Complete Causal Identification with Latent Variables Given Local Background Knowledge. NeurIPS (2022)
Peng Zhao, Yan-Feng Xie, Lijun Zhang, Zhi-Hua Zhou
Efficient Methods for Non-stationary Online Learning. NeurIPS (2022)
Zhen-Yu Zhang, Yu-Yang Qian, Yu-Jie Zhang, Yuan Jiang, Zhi-Hua Zhou
Adaptive Learning for Weakly Labeled Streams. KDD (2022)
Bo-Jian Hou, Lijun Zhang, Zhi-Hua Zhou
Prediction With Unpredictable Feature Evolution. IEEE Trans. Neural Networks Learn. Syst. 33 (10) (2022)
Shao-Qun Zhang, Zhi-Hua Zhou
Theoretically Provable Spiking Neural Networks. NeurIPS (2022)
Yong Bai, Yu-Jie Zhang, Peng Zhao, Masashi Sugiyama, Zhi-Hua Zhou
Adapting to Online Label Shift with Provable Guarantees. CoRR (2022)
Zi-Xuan Chen, Xin-Qiang Cai, Yuan Jiang, Zhi-Hua Zhou
Anomaly Guided Policy Learning from Imperfect Demonstrations. AAMAS (2022)
Zhi-Hua Zhou
Open Environment Machine Learning. CoRR (2022)
Jun Wang, Zhi-Hua Zhou
Margin Distribution Analysis. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Chao Qian, Dan-Xuan Liu, Zhi-Hua Zhou
Result diversification by multi-objective evolutionary algorithms with theoretical guarantees. Artif. Intell. 309 (2022)
Yu-Chang Wu, Yi-Xiao He, Chao Qian, Zhi-Hua Zhou
Multi-objective Evolutionary Ensemble Pruning Guided by Margin Distribution. PPSN (1) (2022)
Peng Zhao, Longfei Li, Zhi-Hua Zhou
Dynamic Regret of Online Markov Decision Processes. ICML (2022)
Zhi-Hua Zhou
Rehearsal: learning from prediction to decision. Frontiers Comput. Sci. 16 (1) (2022)
Ming Pang, Kai Ming Ting, Peng Zhao, Zhi-Hua Zhou
Improving Deep Forest by Screening. IEEE Trans. Knowl. Data Eng. 34 (9) (2022)
Zhi-Hua Zhou, Zhi-Hao Tan
Learnware: Small Models Do Big. CoRR (2022)
Peng Zhao, Longfei Li, Zhi-Hua Zhou
Dynamic Regret of Online Markov Decision Processes. CoRR (2022)
Wei Gao, Fan Xu, Zhi-Hua Zhou
Towards convergence rate analysis of random forests for classification. Artif. Intell. 313 (2022)
Yong Bai, Yu-Jie Zhang, Peng Zhao, Masashi Sugiyama, Zhi-Hua Zhou
Adapting to Online Label Shift with Provable Guarantees. NeurIPS (2022)
Haipeng Luo, Mengxiao Zhang, Peng Zhao, Zhi-Hua Zhou
Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits. CoRR (2022)
Jun-Qi Guo, Ming-Zhuo Teng, Wei Gao, Zhi-Hua Zhou
Fast Provably Robust Decision Trees and Boosting. ICML (2022)
Zhen-Yu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou
Learning From Incomplete and Inaccurate Supervision. IEEE Trans. Knowl. Data Eng. 34 (12) (2022)
Mengxiao Zhang, Peng Zhao, Haipeng Luo, Zhi-Hua Zhou
No-Regret Learning in Time-Varying Zero-Sum Games. ICML (2022)
Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou
Towards Theoretical Understanding of Flexible Transmitter Networks via Approximation and Local Minima. CoRR (2021)
Bo-Jian Hou, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou
Storage Fit Learning with Feature Evolvable Streams. AAAI (2021)
Lijun Zhang, Guanghui Wang, Wei-Wei Tu, Wei Jiang, Zhi-Hua Zhou
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions. NeurIPS (2021)
Peng Zhao, Xinqiang Wang, Siyu Xie, Lei Guo, Zhi-Hua Zhou
Distribution-Free One-Pass Learning. IEEE Trans. Knowl. Data Eng. 33 (3) (2021)
Han-Jia Ye, De-Chuan Zhan, Yuan Jiang, Zhi-Hua Zhou
Heterogeneous Few-Shot Model Rectification With Semantic Mapping. IEEE Trans. Pattern Anal. Mach. Intell. 43 (11) (2021)
Yi-Xuan Xu, Ming Pang, Ji Feng, Kai Ming Ting, Yuan Jiang, Zhi-Hua Zhou
Reconstruction-based Anomaly Detection with Completely Random Forest. SDM (2021)
Zhao-Yu Zhang, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou
LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values. ICDM (2021)
Peng Zhao, Yu-Xiang Wang, Zhi-Hua Zhou
Non-stationary Online Learning with Memory and Non-stochastic Control. CoRR (2021)
Peng Zhao, Guanghui Wang, Lijun Zhang, Zhi-Hua Zhou
Bandit Convex Optimization in Non-stationary Environments. J. Mach. Learn. Res. 22 (2021)
Yu-Feng Li, Lan-Zhe Guo, Zhi-Hua Zhou
Towards Safe Weakly Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43 (1) (2021)
Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou
Budgeted Heterogeneous Treatment Effect Estimation. ICML (2021)
Xin-Qiang Cai, Yao-Xiang Ding, Zi-Xuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou
Seeing Differently, Acting Similarly: Imitation Learning with Heterogeneous Observations. CoRR (2021)
Wei Gao, Teng Zhang, Bin-Bin Yang, Zhi-Hua Zhou
On the noise estimation statistics. Artif. Intell. 293 (2021)
Zhi-Hua Zhou
Why over-parameterization of deep neural networks does not overfit? Sci. China Inf. Sci. 64 (1) (2021)
Shao-Qun Zhang, Gao Wei, Zhi-Hua Zhou
Towards Understanding Theoretical Advantages of Complex-Reaction Networks. CoRR (2021)
Chao Qian, Dan-Xuan Liu, Zhi-Hua Zhou
Result Diversification by Multi-objective Evolutionary Algorithms with Theoretical Guarantees. CoRR (2021)
Shao-Qun Zhang, Zhao-Yu Zhang, Zhi-Hua Zhou
Bifurcation Spiking Neural Network. J. Mach. Learn. Res. 22 (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zhi-Hua Zhou