Zhou, Zhi-Hua

244 publications

MLJ 2026 Extended UCB Policies for Multi-Armed Bandit Problems Keqin Liu, Tianshuo Zheng, Zhi-Hua Zhou

IJCAI 2025 Avoiding Undesired Future with Sequential Decisions Lue Tao, Tian-Zuo Wang, Yuan Jiang, Zhi-Hua Zhou

NeurIPS 2025 Curriculum Abductive Learning Wen-Chao Hu, Qi-Jie Li, Lin-Han Jia, Cunjing Ge, Yu-Feng Li, Yuan Jiang, Zhi-Hua Zhou

NeurIPS 2025 Discovering Symbolic Partial Differential Equation by Abductive Learning En-Hao Gao, Cunjing Ge, Yuan Jiang, Zhi-Hua Zhou

JMLR 2025 Efficient Methods for Non-Stationary Online Learning Peng Zhao, Yan-Feng Xie, Lijun Zhang, Zhi-Hua Zhou

AAAI 2025 Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection Wen-Chao Hu, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou

IJCAI 2025 Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection (Extended Abstract) Wen-Chao Hu, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou

ICML 2025 Enabling Optimal Decisions in Rehearsal Learning Under CARE Condition Wen-Bo Du, Hao-Yi Lei, Lue Tao, Tian-Zuo Wang, Zhi-Hua Zhou

AAAI 2025 Gradient-Based Nonlinear Rehearsal Learning with Multivariate Alterations Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou

ICML 2025 Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update Jing Wang, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou

IJCAI 2025 Identifying and Reusing Learnwares Across Different Label Spaces Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou

ICML 2025 On the Diversity of Adversarial Ensemble Learning Jun-Qi Guo, Meng-Zhang Qian, Wei Gao, Zhi-Hua Zhou

ICML 2025 One-Pass Feature Evolvable Learning with Theoretical Guarantees Cun-Yuan Xing, Meng-Zhang Qian, Wu-Yang Chen, Wei Gao, Zhi-Hua Zhou

NeurIPS 2025 Optimistic Online-to-Batch Conversions for Accelerated Convergence and Universality Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

ICML 2025 Polynomial-Delay MAG Listing with Novel Locally Complete Orientation Rules Tian-Zuo Wang, Wen-Bo Du, Zhi-Hua Zhou

NeurIPS 2025 Provably Efficient Online RLHF with One-Pass Reward Modeling Long-Fei Li, Yu-Yang Qian, Peng Zhao, Zhi-Hua Zhou

ICML 2025 TreeLoRA: Efficient Continual Learning via Layer-Wise LoRAs Guided by a Hierarchical Gradient-Similarity Tree Yu-Yang Qian, Yuan-Ze Xu, Zhen-Yu Zhang, Peng Zhao, Zhi-Hua Zhou

NeurIPS 2025 Variance-Reduced Long-Term Rehearsal Learning with Quadratic Programming Reformulation Wen-Bo Du, Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou

NeurIPS 2024 A Simple and Optimal Approach for Universal Online Learning with Gradient Variations Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

JMLR 2024 Adaptivity and Non-Stationarity: Problem-Dependent Dynamic Regret for Online Convex Optimization Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou

ICML 2024 An Efficient Maximal Ancestral Graph Listing Algorithm Tian-Zuo Wang, Wen-Bo Du, Zhi-Hua Zhou

ICML 2024 Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts Xiao-Wen Yang, Wen-Da Wei, Jie-Jing Shao, Yu-Feng Li, Zhi-Hua Zhou

NeurIPS 2024 Avoiding Undesired Future with Minimal Cost in Non-Stationary Environments Wen-Bo Du, Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou

AAAI 2024 Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function Approximation Long-Fei Li, Peng Zhao, Zhi-Hua Zhou

ICML 2024 Efficient Non-Stationary Online Learning by Wavelets with Applications to Online Distribution Shift Adaptation Yu-Yang Qian, Peng Zhao, Yu-Jie Zhang, Masashi Sugiyama, Zhi-Hua Zhou

NeurIPS 2024 Gradient-Variation Online Learning Under Generalized Smoothness Yan-Feng Xie, Peng Zhao, Zhi-Hua Zhou

NeurIPS 2024 Handling Learnwares from Heterogeneous Feature Spaces with Explicit Label Exploitation Peng Tan, Hai-Tian Liu, Zhi-Hao Tan, Zhi-Hua Zhou

AISTATS 2024 Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition Long-Fei Li, Peng Zhao, Zhi-Hua Zhou

AAAI 2024 Learning Only When It Matters: Cost-Aware Long-Tailed Classification Yu-Cheng He, Yao-Xiang Ding, Han-Jia Ye, Zhi-Hua Zhou

ICML 2024 Learning with Adaptive Resource Allocation Jing Wang, Miao Yu, Peng Zhao, Zhi-Hua Zhou

MLJ 2024 Margin Distribution and Structural Diversity Guided Ensemble Pruning Yi-Xiao He, Yu-Chang Wu, Chao Qian, Zhi-Hua Zhou

NeurIPS 2024 Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs Long-Fei Li, Peng Zhao, Zhi-Hua Zhou

NeurIPS 2024 On the Ability of Developers' Training Data Preservation of Learnware Hao-Yi Lei, Zhi-Hao Tan, Zhi-Hua Zhou

JMLR 2024 On the Intrinsic Structures of Spiking Neural Networks Shao-Qun Zhang, Jia-Yi Chen, Jin-Hui Wu, Gao Zhang, Huan Xiong, Bin Gu, Zhi-Hua Zhou

ICLR 2024 Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning Chengxing Jia, Chenxiao Gao, Hao Yin, Fuxiang Zhang, Xiong-Hui Chen, Tian Xu, Lei Yuan, Zongzhang Zhang, Zhi-Hua Zhou, Yang Yu

NeurIPS 2024 Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation Long-Fei Li, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou

AAAI 2024 Safe Abductive Learning in the Presence of Inaccurate Rules Xiaowen Yang, Jie-Jing Shao, Wei-Wei Tu, Yufeng Li, Wang-Zhou Dai, Zhi-Hua Zhou

MLJ 2024 Towards Enabling Learnware to Handle Heterogeneous Feature Spaces Peng Tan, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou

AAAI 2024 Towards Making Learnware Specification and Market Evolvable Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou

MLJ 2024 Tracking Treatment Effect Heterogeneity in Evolving Environments Tian Qin, Long-Fei Li, Tian-Zuo Wang, Zhi-Hua Zhou

AISTATS 2023 Beyond Performative Prediction: Open-Environment Learning with Presence of Corruptions Jia-Wei Shan, Peng Zhao, Zhi-Hua Zhou

NeurIPS 2023 Complex-Valued Neurons Can Learn More but Slower than Real-Valued Neurons via Gradient Descent Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou

NeurIPS 2023 Dynamic Regret of Adversarial Linear Mixture MDPs Long-Fei Li, Peng Zhao, Zhi-Hua Zhou

IJCAI 2023 Enabling Abductive Learning to Exploit Knowledge Graph Yu-Xuan Huang, Zequn Sun, Guangyao Li, Xiaobin Tian, Wang-Zhou Dai, Wei Hu, Yuan Jiang, Zhi-Hua Zhou

AAAI 2023 Enabling Knowledge Refinement upon New Concepts in Abductive Learning Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou

ICML 2023 Estimating Possible Causal Effects with Latent Variables via Adjustment Tian-Zuo Wang, Tian Qin, Zhi-Hua Zhou

ICML 2023 Fast Rates in Time-Varying Strongly Monotone Games Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

IJCAI 2023 Handling Learnwares Developed from Heterogeneous Feature Spaces Without Auxiliary Data Peng Tan, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou

ICML 2023 Identifying Useful Learnwares for Heterogeneous Label Spaces Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li, Zhi-Hua Zhou

JMLR 2023 Non-Stationary Online Learning with Memory and Non-Stochastic Control Peng Zhao, Yu-Hu Yan, Yu-Xiang Wang, Zhi-Hua Zhou

AISTATS 2023 On the Consistency Rate of Decision Tree Learning Algorithms Qin-Cheng Zheng, Shen-Huan Lyu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou

NeurIPS 2023 On the Gini-Impurity Preservation for Privacy Random Forests XinRan Xie, Man-Jie Yuan, Xuetong Bai, Wei Gao, Zhi-Hua Zhou

JMLR 2023 Online Non-Stochastic Control with Partial Feedback Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

NeurIPS 2023 Rehearsal Learning for Avoiding Undesired Future Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou

AISTATS 2023 Revisiting Weighted Strategy for Non-Stationary Parametric Bandits Jing Wang, Peng Zhao, Zhi-Hua Zhou

ICLR 2023 Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning Xin-Qiang Cai, Yao-Xiang Ding, Zixuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou

NeurIPS 2023 Stochastic Approximation Approaches to Group Distributionally Robust Optimization Lijun Zhang, Peng Zhao, Zhen-Hua Zhuang, Tianbao Yang, Zhi-Hua Zhou

NeurIPS 2023 Universal Online Learning with Gradient Variations: A Multi-Layer Online Ensemble Approach Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

AISTATS 2022 Non-Stationary Online Learning with Memory and Non-Stochastic Control Peng Zhao, Yu-Xiang Wang, Zhi-Hua Zhou

NeurIPS 2022 Adapting to Online Label Shift with Provable Guarantees Yong Bai, Yu-Jie Zhang, Peng Zhao, Masashi Sugiyama, Zhi-Hua Zhou

COLT 2022 Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits Haipeng Luo, Mengxiao Zhang, Peng Zhao, Zhi-Hua Zhou

NeurIPS 2022 Depth Is More Powerful than Width with Prediction Concatenation in Deep Forest Shen-Huan Lyu, Yi-Xiao He, Zhi-Hua Zhou

ICML 2022 Dynamic Regret of Online Markov Decision Processes Peng Zhao, Long-Fei Li, Zhi-Hua Zhou

NeurIPS 2022 Efficient Methods for Non-Stationary Online Learning Peng Zhao, Yan-Feng Xie, Lijun Zhang, Zhi-Hua Zhou

ICML 2022 Fast Provably Robust Decision Trees and Boosting Jun-Qi Guo, Ming-Zhuo Teng, Wei Gao, Zhi-Hua Zhou

ICML 2022 No-Regret Learning in Time-Varying Zero-Sum Games Mengxiao Zhang, Peng Zhao, Haipeng Luo, Zhi-Hua Zhou

NeurIPS 2022 Pre-Trained Model Reusability Evaluation for Small-Data Transfer Learning Yao-Xiang Ding, Xi-Zhu Wu, Kun Zhou, Zhi-Hua Zhou

NeurIPS 2022 Real-Valued Backpropagation Is Unsuitable for Complex-Valued Neural Networks Zhi-Hao Tan, Yi Xie, Yuan Jiang, Zhi-Hua Zhou

NeurIPS 2022 Sound and Complete Causal Identification with Latent Variables Given Local Background Knowledge Tian-Zuo Wang, Tian Qin, Zhi-Hua Zhou

NeurIPS 2022 Theoretically Provable Spiking Neural Networks Shao-Qun Zhang, Zhi-Hua Zhou

NeurIPS 2021 Actively Identifying Causal Effects with Latent Variables Given Only Response Variable Observable Tian-Zuo Wang, Zhi-Hua Zhou

JMLR 2021 Bandit Convex Optimization in Non-Stationary Environments Peng Zhao, Guanghui Wang, Lijun Zhang, Zhi-Hua Zhou

JMLR 2021 Bifurcation Spiking Neural Network Shao-Qun Zhang, Zhao-Yu Zhang, Zhi-Hua Zhou

ICML 2021 Budgeted Heterogeneous Treatment Effect Estimation Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou

NeurIPS 2021 Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions Lijun Zhang, Guanghui Wang, Wei-Wei Tu, Wei Jiang, Zhi-Hua Zhou

AAAI 2021 Exploratory Machine Learning with Unknown Unknowns Peng Zhao, Yu-Jie Zhang, Zhi-Hua Zhou

IJCAI 2021 Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual Event / Montreal, Canada, 19-27 August 2021 Zhi-Hua Zhou

AAAI 2021 Storage Fit Learning with Feature Evolvable Streams Bo-Jian Hou, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

AAAI 2021 Towards Enabling Learnware to Handle Unseen Jobs Yu-Jie Zhang, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

AISTATS 2020 A Simple Approach for Non-Stationary Linear Bandits Peng Zhao, Lijun Zhang, Yuan Jiang, Zhi-Hua Zhou

UAI 2020 A Simple Online Algorithm for Competing with Dynamic Comparators Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou

NeurIPS 2020 An Unbiased Risk Estimator for Learning with Augmented Classes Yu-Jie Zhang, Peng Zhao, Lanjihong Ma, Zhi-Hua Zhou

AISTATS 2020 Bandit Convex Optimization in Non-Stationary Environments Peng Zhao, Guanghui Wang, Lijun Zhang, Zhi-Hua Zhou

ACML 2020 Boosting-Based Reliable Model Reuse Yao-Xiang Ding, Zhi-Hua Zhou

AAAI 2020 Control Flow Graph Embedding Based on Multi-Instance Decomposition for Bug Localization Xuan Huo, Ming Li, Zhi-Hua Zhou

ICML 2020 Cost-Effectively Identifying Causal Effects When Only Response Variable Is Observable Tian-Zuo Wang, Xi-Zhu Wu, Sheng-Jun Huang, Zhi-Hua Zhou

AAAI 2020 Differentially Private Learning with Small Public Data Jun Wang, Zhi-Hua Zhou

NeurIPS 2020 Dynamic Regret of Convex and Smooth Functions Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou

MLJ 2020 Handling Concept Drift via Model Reuse Peng Zhao, Le-Wen Cai, Zhi-Hua Zhou

ICML 2020 Learning with Feature and Distribution Evolvable Streams Zhen-Yu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou

MLJ 2020 Multi-Label Optimal Margin Distribution Machine Zhi-Hao Tan, Peng Tan, Yuan Jiang, Zhi-Hua Zhou

ICML 2020 Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data Lan-Zhe Guo, Zhen-Yu Zhang, Yuan Jiang, Yu-Feng Li, Zhi-Hua Zhou

NeurIPS 2020 Towards Convergence Rate Analysis of Random Forests for Classification Wei Gao, Zhi-Hua Zhou

NeurIPS 2019 A Refined Margin Distribution Analysis for Forest Representation Learning Shen-Huan Lyu, Liang Yang, Zhi-Hua Zhou

MLJ 2019 A Simple Homotopy Proximal Mapping Algorithm for Compressive Sensing Tianbao Yang, Lijun Zhang, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou

ICML 2019 Adaptive Regret of Convex and Smooth Functions Lijun Zhang, Tie-Yan Liu, Zhi-Hua Zhou

NeurIPS 2019 Bridging Machine Learning and Logical Reasoning by Abductive Learning Wang-Zhou Dai, Qiuling Xu, Yang Yu, Zhi-Hua Zhou

ICML 2019 Heterogeneous Model Reuse via Optimizing Multiparty Multiclass Margin Xi-Zhu Wu, Song Liu, Zhi-Hua Zhou

NeurIPS 2019 Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder Ji Feng, Qi-Zhi Cai, Zhi-Hua Zhou

MLJ 2019 Lowest Probability Mass Neighbour Algorithms: Relaxing the Metric Constraint in Distance-Based Neighbourhood Algorithms Kai Ming Ting, Ye Zhu, Mark J. Carman, Yue Zhu, Takashi Washio, Zhi-Hua Zhou

IJCAI 2019 Partial Label Learning with Unlabeled Data Qian-Wei Wang, Yufeng Li, Zhi-Hua Zhou

IJCAI 2019 Reinforcement Learning Experience Reuse with Policy Residual Representation Wen-Ji Zhou, Yang Yu, Yingfeng Chen, Kai Guan, Tangjie Lv, Changjie Fan, Zhi-Hua Zhou

JMLR 2019 Relative Error Bound Analysis for Nuclear Norm Regularized Matrix Completion Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou

COLT 2019 Stochastic Approximation of Smooth and Strongly Convex Functions: Beyond the $O(1/T)$ Convergence Rate Lijun Zhang, Zhi-Hua Zhou

NeurIPS 2018 $\ell_1$-Regression with Heavy-Tailed Distributions Lijun Zhang, Zhi-Hua Zhou

NeurIPS 2018 Adaptive Online Learning in Dynamic Environments Lijun Zhang, Shiyin Lu, Zhi-Hua Zhou

AAAI 2018 AutoEncoder by Forest Ji Feng, Zhi-Hua Zhou

MLJ 2018 Crowdsourcing with Unsure Option Yao-Xiang Ding, Zhi-Hua Zhou

AAAI 2018 Dual Set Multi-Label Learning Chong Liu, Peng Zhao, Sheng-Jun Huang, Yuan Jiang, Zhi-Hua Zhou

ICML 2018 Dynamic Regret of Strongly Adaptive Methods Lijun Zhang, Tianbao Yang, Jin, Zhi-Hua Zhou

IJCAI 2018 Experienced Optimization with Reusable Directional Model for Hyper-Parameter Search Yi-Qi Hu, Yang Yu, Zhi-Hua Zhou

AAAI 2018 Label Distribution Learning by Optimal Transport Peng Zhao, Zhi-Hua Zhou

IJCAI 2018 Learning Environmental Calibration Actions for Policy Self-Evolution Chao Zhang, Yang Yu, Zhi-Hua Zhou

AAAI 2018 Learning from Semi-Supervised Weak-Label Data Hao-Chen Dong, Yufeng Li, Zhi-Hua Zhou

MLJ 2018 Meta-Interpretive Learning from Noisy Images Stephen H. Muggleton, Wang-Zhou Dai, Claude Sammut, Alireza Tamaddoni-Nezhad, Jing Wen, Zhi-Hua Zhou

NeurIPS 2018 Multi-Layered Gradient Boosting Decision Trees Ji Feng, Yang Yu, Zhi-Hua Zhou

AAAI 2018 Optimal Margin Distribution Clustering Teng Zhang, Zhi-Hua Zhou

NeurIPS 2018 Preference Based Adaptation for Learning Objectives Yao-Xiang Ding, Zhi-Hua Zhou

ICML 2018 Rectify Heterogeneous Models with Semantic Mapping Han-Jia Ye, De-Chuan Zhan, Yuan Jiang, Zhi-Hua Zhou

IJCAI 2018 Semi-Supervised Optimal Margin Distribution Machines Teng Zhang, Zhi-Hua Zhou

IJCAI 2018 Tri-Net for Semi-Supervised Deep Learning Dongdong Chen, Wei Wang, Wei Gao, Zhi-Hua Zhou

NeurIPS 2018 Unorganized Malicious Attacks Detection Ming Pang, Wei Gao, Min Tao, Zhi-Hua Zhou

ICML 2017 A Unified View of Multi-Label Performance Measures Xi-Zhu Wu, Zhi-Hua Zhou

AAAI 2017 Combining Logical Abduction and Statistical Induction: Discovering Written Primitives with Human Knowledge Wang-Zhou Dai, Zhi-Hua Zhou

IJCAI 2017 Cost-Effective Active Learning from Diverse Labelers Sheng-Jun Huang, Jia-Lve Chen, Xin Mu, Zhi-Hua Zhou

IJCAI 2017 Deep Descriptor Transforming for Image Co-Localization Xiu-Shen Wei, Chen-Lin Zhang, Yao Li, Chen-Wei Xie, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou

IJCAI 2017 Deep Forest: Towards an Alternative to Deep Neural Networks Zhi-Hua Zhou, Ji Feng

AAAI 2017 Deep Learning for Fixed Model Reuse Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang, Zhi-Hua Zhou

AAAI 2017 Deep MIML Network Ji Feng, Zhi-Hua Zhou

AAAI 2017 Discover Multiple Novel Labels in Multi-Instance Multi-Label Learning Yue Zhu, Kai Ming Ting, Zhi-Hua Zhou

MLJ 2017 Foreword: Special Issue for the Journal Track of the 8th Asian Conference on Machine Learning (ACML 2016) Robert J. Durrant, Kee-Eung Kim, Geoffrey Holmes, Stephen Marsland, Masashi Sugiyama, Zhi-Hua Zhou

NeurIPS 2017 Improved Dynamic Regret for Non-Degenerate Functions Lijun Zhang, Tianbao Yang, Jinfeng Yi, Rong Jin, Zhi-Hua Zhou

IJCAI 2017 Incomplete Label Distribution Learning Miao Xu, Zhi-Hua Zhou

MLJ 2017 Introduction: Special Issue of Selected Papers from ACML 2015 Geoffrey Holmes, Tie-Yan Liu, Hang Li, Irwin King, Masashi Sugiyama, Zhi-Hua Zhou

AAAI 2017 Learning Safe Prediction for Semi-Supervised Regression Yufeng Li, Han-Wen Zha, Zhi-Hua Zhou

NeurIPS 2017 Learning with Feature Evolvable Streams Bo-Jian Hou, Lijun Zhang, Zhi-Hua Zhou

ICML 2017 Multi-Class Optimal Margin Distribution Machine Teng Zhang, Zhi-Hua Zhou

IJCAI 2017 Multi-Instance Learning with Key Instance Shift Ya-Lin Zhang, Zhi-Hua Zhou

IJCAI 2017 Obtaining High-Quality Label by Distinguishing Between Easy and Hard Items in Crowdsourcing Wei Wang, Xiang-Yu Guo, Shao-Yuan Li, Yuan Jiang, Zhi-Hua Zhou

IJCAI 2017 Optimizing Ratio of Monotone Set Functions Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou

IJCAI 2017 Storage Fit Learning with Unlabeled Data Bo-Jian Hou, Lijun Zhang, Zhi-Hua Zhou

AAAI 2017 Streaming Classification with Emerging New Class by Class Matrix Sketching Xin Mu, Feida Zhu, Juan Du, Ee-Peng Lim, Zhi-Hua Zhou

NeurIPS 2017 Subset Selection Under Noise Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou

MLJ 2016 An Empirical Study on Image Bag Generators for Multi-Instance Learning Xiu-Shen Wei, Zhi-Hua Zhou

AAAI 2016 Column Sampling Based Discrete Supervised Hashing Wang-Cheng Kang, Wu-Jun Li, Zhi-Hua Zhou

IJCAI 2016 Cost-Saving Effect of Crowdsourcing Learning Lu Wang, Zhi-Hua Zhou

IJCAI 2016 Graph Quality Judgement: A Large Margin Expedition Yufeng Li, Shao-Bo Wang, Zhi-Hua Zhou

MLJ 2016 Introduction: Special Issue of Selected Papers from ACML 2014 Hang Li, Dinh Q. Phung, Tru H. Cao, Tu Bao Ho, Zhi-Hua Zhou

ACML 2016 Learnability of Non-I.I.D. Wei Gao, Xin-Yi Niu, Zhi-Hua Zhou

AAAI 2016 Learning Expected Hitting Time Distance De-Chuan Zhan, Peng Hu, Zui Chu, Zhi-Hua Zhou

IJCAI 2016 Learning Unified Features from Natural and Programming Languages for Locating Buggy Source Code Xuan Huo, Ming Li, Zhi-Hua Zhou

AAAI 2016 Learning to Generate Posters of Scientific Papers Yuting Qiang, Yanwei Fu, Yanwen Guo, Zhi-Hua Zhou, Leonid Sigal

ICML 2016 Online Stochastic Linear Optimization Under One-Bit Feedback Lijun Zhang, Tianbao Yang, Rong Jin, Yichi Xiao, Zhi-hua Zhou

IJCAI 2016 Parallel Pareto Optimization for Subset Selection Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou

AAAI 2016 Risk Minimization in the Presence of Label Noise Wei Gao, Lu Wang, Yufeng Li, Zhi-Hua Zhou

ALT 2016 Sparse Learning for Large-Scale and High-Dimensional Data: A Randomized Convex-Concave Optimization Approach Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou

AAAI 2016 Stochastic Optimization for Kernel PCA Lijun Zhang, Tianbao Yang, Jinfeng Yi, Rong Jin, Zhi-Hua Zhou

AAAI 2016 Towards Safe Semi-Supervised Learning for Multivariate Performance Measures Yufeng Li, James T. Kwok, Zhi-Hua Zhou

IJCAI 2016 Transductive Optimization of Top K Precision Li-Ping Liu, Thomas G. Dietterich, Nan Li, Zhi-Hua Zhou

NeurIPS 2016 What Makes Objects Similar: A Unified Multi-Metric Learning Approach Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang, Zhi-Hua Zhou

AISTATS 2015 A Simple Homotopy Algorithm for Compressive Sensing Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou

IJCAI 2015 Active Learning from Crowds with Unsure Option Jinhong Zhong, Ke Tang, Zhi-Hua Zhou

ICML 2015 CUR Algorithm for Partially Observed Matrices Miao Xu, Rong Jin, Zhi-Hua Zhou

IJCAI 2015 Multi-Label Active Learning: Query Type Matters Sheng-Jun Huang, Songcan Chen, Zhi-Hua Zhou

IJCAI 2015 On Constrained Boolean Pareto Optimization Chao Qian, Yang Yu, Zhi-Hua Zhou

IJCAI 2015 On the Consistency of AUC Pairwise Optimization Wei Gao, Zhi-Hua Zhou

ACML 2015 One-Pass Multi-View Learning Yue Zhu, Wei Gao, Zhi-Hua Zhou

AAAI 2015 Online Bandit Learning for a Special Class of Non-Convex Losses Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou

AAAI 2015 Pareto Ensemble Pruning Chao Qian, Yang Yu, Zhi-Hua Zhou

ACML 2015 Statistical Unfolded Logic Learning Wang-Zhou Dai, Zhi-Hua Zhou

AAAI 2015 Structured Sparsity with Group-Graph Regularization Xin-Yu Dai, Jianbing Zhang, Shujian Huang, Jiajun Chen, Zhi-Hua Zhou

NeurIPS 2015 Subset Selection by Pareto Optimization Chao Qian, Yang Yu, Zhi-Hua Zhou

AAAI 2014 Fast Multi-Instance Multi-Label Learning Sheng-Jun Huang, Wei Gao, Zhi-Hua Zhou

AAAI 2014 Labeling Complicated Objects: Multi-View Multi-Instance Multi-Label Learning Cam-Tu Nguyen, Xiaoliang Wang, Jing Liu, Zhi-Hua Zhou

AAAI 2014 Learning with Augmented Class by Exploiting Unlabeled Data Qing Da, Yang Yu, Zhi-Hua Zhou

ACML 2014 Learning with Augmented Multi-Instance View Yue Zhu, Jianxin Wu, Yuan Jiang, Zhi-Hua Zhou

AAAI 2014 Multi-Instance Learning with Distribution Change Weijia Zhang, Zhi-Hua Zhou

AAAI 2014 Partial Multi-View Clustering Shao-Yuan Li, Yuan Jiang, Zhi-Hua Zhou

NeurIPS 2014 Top Rank Optimization in Linear Time Nan Li, Rong Jin, Zhi-Hua Zhou

ACML 2013 Co-Training with Insufficient Views Wei Wang, Zhi-Hua Zhou

JMLR 2013 Convex and Scalable Weakly Labeled SVMs Yu-Feng Li, Ivor W. Tsang, James T. Kwok, Zhi-Hua Zhou

IJCAI 2013 Exploiting Label Relationship in Multi-Label Learning Zhi-Hua Zhou

MLJ 2013 Introduction: Special Issue of Selected Papers of ACML 2012 Zhi-Hua Zhou, Wee Sun Lee, Steven C. H. Hoi, Wray L. Buntine, Hiroshi Motoda

IJCAI 2013 Multi-Instance Multi-Label Learning with Weak Label Shu-Jun Yang, Yuan Jiang, Zhi-Hua Zhou

AAAI 2013 Multi-Label Learning with PRO Loss Miao Xu, Yufeng Li, Zhi-Hua Zhou

IJCAI 2013 Multi-Modal Image Annotation with Multi-Instance Multi-Label LDA Cam-Tu Nguyen, De-Chuan Zhan, Zhi-Hua Zhou

IJCAI 2013 On the Approximation Ability of Evolutionary Optimization with Application to Minimum Set Cover: Extended Abstract Yang Yu, Xin Yao, Zhi-Hua Zhou

ICML 2013 One-Pass AUC Optimization Wei Gao, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou

NeurIPS 2013 Speedup Matrix Completion with Side Information: Application to Multi-Label Learning Miao Xu, Rong Jin, Zhi-Hua Zhou

IJCAI 2013 Uniform Convergence, Stability and Learnability for Ranking Problems Wei Gao, Zhi-Hua Zhou

ECML-PKDD 2012 Diversity Regularized Ensemble Pruning Nan Li, Yang Yu, Zhi-Hua Zhou

MLJ 2012 Introduction to the Special Issue on Learning from Multi-Label Data Grigorios Tsoumakas, Min-Ling Zhang, Zhi-Hua Zhou

ACML 2012 Key Instance Detection in Multi-Instance Learning Guoqing Liu, Jianxin Wu, Zhi-Hua Zhou

AAAI 2012 Multi-Label Learning by Exploiting Label Correlations Locally Sheng-Jun Huang, Zhi-Hua Zhou

NeurIPS 2012 Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison Tianbao Yang, Yu-feng Li, Mehrdad Mahdavi, Rong Jin, Zhi-Hua Zhou

AAAI 2012 Towards Discovering What Patterns Trigger What Labels Yufeng Li, Ju-Hua Hu, Yuan Jiang, Zhi-Hua Zhou

CVPR 2012 Unsupervised Metric Fusion by Cross Diffusion Bo Wang, Jiayan Jiang, Wei Wang, Zhi-Hua Zhou, Zhuowen Tu

JMLR 2011 A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin Liwei Wang, Masashi Sugiyama, Zhaoxiang Jing, Cheng Yang, Zhi-Hua Zhou, Jufu Feng

IJCAI 2011 Diversity Regularized Machine Yang Yu, Yufeng Li, Zhi-Hua Zhou

IJCAI 2011 Effective and Efficient Microprocessor Design Space Exploration Using Unlabeled Design Configurations Qi Guo, Tianshi Chen, Yunji Chen, Zhi-Hua Zhou, Weiwu Hu, Zhiwei Xu

AAAI 2011 Improving Semi-Supervised Support Vector Machines Through Unlabeled Instances Selection Yufeng Li, Zhi-Hua Zhou

IJCAI 2011 Line Orthogonality in Adjacency Eigenspace with Application to Community Partition Leting Wu, Xiaowei Ying, Xintao Wu, Zhi-Hua Zhou

IJCAI 2011 Local and Structural Consistency for Multi-Manifold Clustering Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou

AAAI 2011 Localized K-Flats Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou

COLT 2011 On the Consistency of Multi-Label Learning Wei Gao, Zhi-Hua Zhou

ICML 2011 Towards Making Unlabeled Data Never Hurt Yufeng Li, Zhi-Hua Zhou

ICML 2010 A New Analysis of Co-Training Wei Wang, Zhi-Hua Zhou

NeurIPS 2010 Active Learning by Querying Informative and Representative Examples Sheng-jun Huang, Rong Jin, Zhi-Hua Zhou

ALT 2010 Approximation Stability and Boosting Wei Gao, Zhi-Hua Zhou

AAAI 2010 Cost-Sensitive Semi-Supervised Support Vector Machine Yufeng Li, James T. Kwok, Zhi-Hua Zhou

AAAI 2010 Facial Age Estimation by Learning from Label Distributions Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou

AAAI 2010 Multi-Instance Dimensionality Reduction Yu-Yin Sun, Michael K. Ng, Zhi-Hua Zhou

AAAI 2010 Multi-Label Learning with Weak Label Yu-Yin Sun, Yin Zhang, Zhi-Hua Zhou

NeurIPS 2010 Multi-View Active Learning in the Non-Realizable Case Wei Wang, Zhi-Hua Zhou

ECML-PKDD 2010 On Detecting Clustered Anomalies Using SCiForest Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou

ECML-PKDD 2009 A Convex Method for Locating Regions of Interest with Multi-Instance Learning Yufeng Li, James T. Kwok, Ivor W. Tsang, Zhi-Hua Zhou

IJCAI 2009 DrosophilaGene Expression Pattern Annotation Through Multi-Instance Multi-Label Learning Ying-Xin Li, Shuiwang Ji, Sudhir Kumar, Jieping Ye, Zhi-Hua Zhou

CVPR 2009 Enhanced Pictorial Structures for Precise Eye Localization Under Incontrolled Conditions Xiaoyang Tan, Fengyi Song, Zhi-Hua Zhou, Songcan Chen

IJCAI 2009 Exploiting Multi-Modal Interactions: A Unified Framework Ming Li, Xiao-Bing Xue, Zhi-Hua Zhou

ICML 2009 Learning Instance Specific Distances Using Metric Propagation De-Chuan Zhan, Ming Li, Yufeng Li, Zhi-Hua Zhou

CVPR 2009 Learning a Distance Metric from Multi-Instance Multi-Label Data Rong Jin, Shijun Wang, Zhi-Hua Zhou

ICML 2009 Multi-Instance Learning by Treating Instances as Non-I.I.D. Samples Zhi-Hua Zhou, Yu-Yin Sun, Yufeng Li

IJCAI 2009 Non-Metric Label Propagation Yin Zhang, Zhi-Hua Zhou

ICML 2009 Semi-Supervised Learning Using Label Mean Yufeng Li, James T. Kwok, Zhi-Hua Zhou

AISTATS 2009 Tighter and Convex Maximum Margin Clustering Yu-Feng Li, Ivor W. Tsang, Jame Kwok, Zhi-Hua Zhou

AAAI 2008 Constraint Projections for Ensemble Learning Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou, Qiang Yang

CVPR 2008 Cost-Sensitive Face Recognition Yin Zhang, Zhi-Hua Zhou

AAAI 2008 Multi-Label Dimensionality Reduction via Dependence Maximization Yin Zhang, Zhi-Hua Zhou

ICML 2008 On Multi-View Active Learning and the Combination with Semi-Supervised Learning Wei Wang, Zhi-Hua Zhou

COLT 2008 On the Margin Explanation of Boosting Algorithms Liwei Wang, Masashi Sugiyama, Cheng Yang, Zhi-Hua Zhou, Jufu Feng

JAIR 2008 Spectrum of Variable-Random Trees Fei Tony Liu, Kai Ming Ting, Yang Yu, Zhi-Hua Zhou

IJCAI 2007 Exploiting Image Contents in Web Search Zhi-Hua Zhou, Hong-Bin Dai

AAAI 2007 Multi-Label Learning by Instance Differentiation Min-Ling Zhang, Zhi-Hua Zhou

ICML 2007 On the Relation Between Multi-Instance Learning and Semi-Supervised Learning Zhi-Hua Zhou, Jun-Ming Xu

AAAI 2007 Semi-Supervised Learning with Very Few Labeled Training Examples Zhi-Hua Zhou, De-Chuan Zhan, Qiang Yang

AAAI 2006 A New Approach to Estimating the Expected First Hitting Time of Evolutionary Algorithms Yang Yu, Zhi-Hua Zhou

ECML-PKDD 2006 Distributional Features for Text Categorization Xiao-Bing Xue, Zhi-Hua Zhou

AAAI 2006 Improve Web Search Using Image Snippets Xiao-Bing Xue, Zhi-Hua Zhou, Zhongfei (Mark) Zhang

CVPR 2006 Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion Xiaoyang Tan, Songcan Chen, Jun Li, Zhi-Hua Zhou

AAAI 2006 On Multi-Class Cost-Sensitive Learning Zhi-Hua Zhou, Xu-Ying Liu

IJCAI 2005 Semi-Supervised Regression with Co-Training Zhi-Hua Zhou, Ming Li

ECML-PKDD 2004 Exploiting Unlabeled Data in Content-Based Image Retrieval Zhi-Hua Zhou, Ke-Jia Chen, Yuan Jiang

ECML-PKDD 2003 Ensembles of Multi-Instance Learners Zhi-Hua Zhou, Min-Ling Zhang

IJCAI 2001 Genetic Algorithm Based Selective Neural Network Ensemble Zhi-Hua Zhou, Jianxin Wu, Yuan Jiang, Shifu Chen