| 2026 | AAAI | Tabular Learnwares Can Be Repurposed for Seemingly Irrelevant New Tasks. | Peng Tan, Feifan Yang, Zhi-Hao Tan, Zhi-Hua Zhou |
| 2026 | AAAI | CoRE-Learning with Look-Ahead and Immediate Resource Allocation. | Jing Wang, Xi-Tong Liu, Zhi-Hua Zhou |
| 2026 | COLT | A simple, optimal and efficient algorithm for online exp-concave optimization. | Yi-Han Wang, Peng Zhao, Zhi-Hua Zhou |
| 2026 | DATE | Timing-driven Detailed Placement via TimingMask-guided Path-level Optimization. | Ruo-Tong Chen, Chengrui Gao, Siyuan Xu, Ke Xue, Yunqi Shi, Xi Lin, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou |
| 2026 | DATE | Dynamic Algorithm Configuration for Global Placement. | Chen Lu, Ke Xue, Ruo-Tong Chen, Yunqi Shi, Siyuan Xu, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou |
| 2025 | AAAI | Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection. | Wen-Chao Hu, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou |
| 2025 | AAAI | Gradient-Based Nonlinear Rehearsal Learning with Multivariate Alterations. | Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou |
| 2025 | DAC | ReMaP: Macro Placement by Recursively Prototyping and Periphery-Guided Relocating. | Yunqi Shi, Xi Lin, Siyuan Xu, Shixiong Kai, Ke Xue, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou |
| 2025 | ICML | 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 |
| 2025 | ICML | Enabling Optimal Decisions in Rehearsal Learning under CARE Condition. | Wen-Bo Du, Hao-Yi Lei, Lue Tao, Tian-Zuo Wang, Zhi-Hua Zhou |
| 2025 | ICML | Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update. | Jing Wang, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou |
| 2025 | ICML | On the Diversity of Adversarial Ensemble Learning. | Jun-Qi Guo, Meng-Zhang Qian, Wei Gao, Zhi-Hua Zhou |
| 2025 | ICML | Polynomial-Delay MAG Listing with Novel Locally Complete Orientation Rules. | Tian-Zuo Wang, Wen-Bo Du, Zhi-Hua Zhou |
| 2025 | ICML | One-Pass Feature Evolvable Learning with Theoretical Guarantees. | Cun-Yuan Xing, Meng-Zhang Qian, Wuyang Chen, Wei Gao, Zhi-Hua Zhou |
| 2025 | IJCAI | Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection (Extended Abstract). | Wen-Chao Hu, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou |
| 2025 | IJCAI | Identifying and Reusing Learnwares Across Different Label Spaces. | Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou |
| 2025 | IJCAI | Avoiding Undesired Future with Sequential Decisions. | Lue Tao, Tian-Zuo Wang, Yuan Jiang, Zhi-Hua Zhou |
| 2025 | KDD | Dynamic Learnware Filtering for Efficient Learnware Identification and System Slimming. | Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou |
| 2025 | KDD | Achieving Nearly-Optimal Regret and Sample Complexity in Dueling Bandits with Applications in Online Recommendations. | Lanjihong Ma, Yao-Xiang Ding, Zhen-Yu Zhang, Zhi-Hua Zhou |
| 2025 | KDD | Adapting to Generalized Online Label Shift by Invariant Representation Learning. | Yu-Yang Qian, Yi-Han Wang, Zhen-Yu Zhang, Yuan Jiang, Zhi-Hua Zhou |
| 2024 | AAAI | Learning Only When It Matters: Cost-Aware Long-Tailed Classification. | Yu-Cheng He, Yao-Xiang Ding, Han-Jia Ye, Zhi-Hua Zhou |
| 2024 | AAAI | Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function Approximation. | Long-Fei Li, Peng Zhao, Zhi-Hua Zhou |
| 2024 | AAAI | Towards Making Learnware Specification and Market Evolvable. | Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou |
| 2024 | AAAI | 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 |
| 2024 | AISTATS | Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition. | Long-Fei Li, Peng Zhao, Zhi-Hua Zhou |
| 2024 | ICLR | 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 |
| 2024 | ICML | 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 |
| 2024 | ICML | An Efficient Maximal Ancestral Graph Listing Algorithm. | Tian-Zuo Wang, Wen-Bo Du, Zhi-Hua Zhou |
| 2024 | ICML | Learning with Adaptive Resource Allocation. | Jing Wang, Miao Yu, Peng Zhao, Zhi-Hua Zhou |
| 2024 | ICML | Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts. | Xiaowen Yang, Wenda Wei, Jie-Jing Shao, Yufeng Li, Zhi-Hua Zhou |
| 2024 | KDD | Handling Varied Objectives by Online Decision Making. | Lanjihong Ma, Zhen-Yu Zhang, Yao-Xiang Ding, Zhi-Hua Zhou |
| 2024 | KDD | Beimingwu: A Learnware Dock System. | 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 |
| 2023 | AAAI | Enabling Knowledge Refinement upon New Concepts in Abductive Learning. | Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou |
| 2023 | AISTATS | Beyond Performative Prediction: Open-environment Learning with Presence of Corruptions. | Jia-Wei Shan, Peng Zhao, Zhi-Hua Zhou |
| 2023 | AISTATS | Revisiting Weighted Strategy for Non-stationary Parametric Bandits. | Jing Wang, Peng Zhao, Zhi-Hua Zhou |
| 2023 | AISTATS | On the Consistency Rate of Decision Tree Learning Algorithms. | Qin-Cheng Zheng, Shen-Huan Lyu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou |
| 2023 | ECAI | Identifying Helpful Learnwares Without Examining the Whole Market. | Yi Xie, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou |
| 2023 | ICDM | Handling New Class in Online Label Shift. | Yu-Yang Qian, Yong Bai, Zhen-Yu Zhang, Peng Zhao, Zhi-Hua Zhou |
| 2023 | ICLR | Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning. | Xin-Qiang Cai, Yao-Xiang Ding, Zi-Xuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou |
| 2023 | ICML | Identifying Useful Learnwares for Heterogeneous Label Spaces. | Lan-Zhe Guo, Zhi Zhou, Yufeng Li, Zhi-Hua Zhou |
| 2023 | ICML | Estimating Possible Causal Effects with Latent Variables via Adjustment. | Tian-Zuo Wang, Tian Qin, Zhi-Hua Zhou |
| 2023 | ICML | Fast Rates in Time-Varying Strongly Monotone Games. | Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou |
| 2023 | IJCAI | 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 |
| 2023 | IJCAI | Handling Learnwares Developed from Heterogeneous Feature Spaces without Auxiliary Data. | Peng Tan, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou |
| 2023 | SDM | Learning Causal Structure on Mixed Data with Tree-Structured Functional Models. | Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou |
| 2022 | AISTATS | Non-stationary Online Learning with Memory and Non-stochastic Control. | Peng Zhao, Yu-Xiang Wang, Zhi-Hua Zhou |
| 2022 | COLT | Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits. | Haipeng Luo, Mengxiao Zhang, Peng Zhao, Zhi-Hua Zhou |
| 2022 | ICML | Fast Provably Robust Decision Trees and Boosting. | Jun-Qi Guo, Ming-Zhuo Teng, Wei Gao, Zhi-Hua Zhou |
| 2022 | ICML | No-Regret Learning in Time-Varying Zero-Sum Games. | Mengxiao Zhang, Peng Zhao, Haipeng Luo, Zhi-Hua Zhou |
| 2022 | ICML | Dynamic Regret of Online Markov Decision Processes. | Peng Zhao, Longfei Li, Zhi-Hua Zhou |
| 2022 | KDD | Adaptive Learning for Weakly Labeled Streams. | Zhen-Yu Zhang, Yu-Yang Qian, Yu-Jie Zhang, Yuan Jiang, Zhi-Hua Zhou |
| 2022 | PPSN | Multi-objective Evolutionary Ensemble Pruning Guided by Margin Distribution. | Yu-Chang Wu, Yi-Xiao He, Chao Qian, Zhi-Hua Zhou |
| 2021 | AAAI | Exploratory Machine Learning with Unknown Unknowns. | Peng Zhao, Yu-Jie Zhang, Zhi-Hua Zhou |
| 2021 | AAAI | Storage Fit Learning with Feature Evolvable Streams. | Bo-Jian Hou, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou |
| 2021 | AAAI | Towards Enabling Learnware to Handle Unseen Jobs. | Yu-Jie Zhang, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou |
| 2021 | ICDM | LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values. | Zhao-Yu Zhang, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou |
| 2021 | ICML | Budgeted Heterogeneous Treatment Effect Estimation. | Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou |
| 2021 | KDD | Tac-Valuer: Knowledge-based Stroke Evaluation in Table Tennis. | Jiachen Wang, Dazhen Deng, Xiao Xie, Xinhuan Shu, Yu-Xuan Huang, Le-Wen Cai, Hui Zhang, Min-Ling Zhang, Zhi-Hua Zhou, Yingcai Wu |
| 2021 | SDM | Reconstruction-based Anomaly Detection with Completely Random Forest. | Yi-Xuan Xu, Ming Pang, Ji Feng, Kai Ming Ting, Yuan Jiang, Zhi-Hua Zhou |
| 2020 | AAAI | Control Flow Graph Embedding Based on Multi-Instance Decomposition for Bug Localization. | Xuan Huo, Ming Li, Zhi-Hua Zhou |
| 2020 | AAAI | Differentially Private Learning with Small Public Data. | Jun Wang, Zhi-Hua Zhou |
| 2020 | ACML | Boosting-Based Reliable Model Reuse. | Yao-Xiang Ding, Zhi-Hua Zhou |
| 2020 | AISTATS | Bandit Convex Optimization in Non-stationary Environments. | Peng Zhao, Guanghui Wang, Lijun Zhang, Zhi-Hua Zhou |
| 2020 | AISTATS | A Simple Approach for Non-stationary Linear Bandits. | Peng Zhao, Lijun Zhang, Yuan Jiang, Zhi-Hua Zhou |
| 2020 | ECAI | Multi-Label Learning with Deep Forest. | Liang Yang, Xi-Zhu Wu, Yuan Jiang, Zhi-Hua Zhou |
| 2020 | ECAI | Harmonic Recurrent Process for Time Series Forecasting. | Shao-Qun Zhang, Zhi-Hua Zhou |
| 2020 | ICDM | Semi-Supervised Abductive Learning and Its Application to Theft Judicial Sentencing. | Yu-Xuan Huang, Wang-Zhou Dai, Jian Yang, Le-Wen Cai, Shaofen Cheng, Ruizhang Huang, Yufeng Li, Zhi-Hua Zhou |
| 2020 | ICML | Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data. | Lan-Zhe Guo, Zhenyu Zhang, Yuan Jiang, Yufeng Li, Zhi-Hua Zhou |
| 2020 | ICML | Cost-effectively Identifying Causal Effects When Only Response Variable is Observable. | Tian-Zuo Wang, Xi-Zhu Wu, Sheng-Jun Huang, Zhi-Hua Zhou |
| 2020 | ICML | Learning with Feature and Distribution Evolvable Streams. | Zhenyu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou |
| 2020 | KDD | Isolation Distributional Kernel: A New Tool for Kernel based Anomaly Detection. | Kai Ming Ting, Bi-Cun Xu, Takashi Washio, Zhi-Hua Zhou |
| 2020 | UAI | A Simple Online Algorithm for Competing with Dynamic Comparators. | Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou |
| 2020 | WSDM | Can Deep Learning Only Be Neural Networks? | Zhi-Hua Zhou |
| 2019 | COLT | Stochastic Approximation of Smooth and Strongly Convex Functions: Beyond the $O(1/T)$ Convergence Rate. | Lijun Zhang, Zhi-Hua Zhou |
| 2019 | ICML | Heterogeneous Model Reuse via Optimizing Multiparty Multiclass Margin. | Xi-Zhu Wu, Song Liu, Zhi-Hua Zhou |
| 2019 | ICML | Adaptive Regret of Convex and Smooth Functions. | Lijun Zhang, Tie-Yan Liu, Zhi-Hua Zhou |
| 2019 | IJCAI | Partial Label Learning with Unlabeled Data. | Qian-Wei Wang, Yufeng Li, Zhi-Hua Zhou |
| 2019 | IJCAI | Reinforcement Learning Experience Reuse with Policy Residual Representation. | Wen-Ji Zhou, Yang Yu, Yingfeng Chen, Kai Guan, Tangjie Lv, Changjie Fan, Zhi-Hua Zhou |
| 2019 | KDD | Isolation Set-Kernel and Its Application to Multi-Instance Learning. | Bi-Cun Xu, Kai Ming Ting, Zhi-Hua Zhou |
| 2019 | KDD | Learning from Incomplete and Inaccurate Supervision. | Zhenyu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou |
| 2019 | PAKDD | Towards One Reusable Model for Various Software Defect Mining Tasks. | Heng-Yi Li, Ming Li, Zhi-Hua Zhou |
| 2019 | SDM | Towards Identifying Causal Relation Between Instances and Labels. | Tian-Zuo Wang, Sheng-Jun Huang, Zhi-Hua Zhou |
| 2018 | AAAI | Learning From Semi-Supervised Weak-Label Data. | Hao-Chen Dong, Yufeng Li, Zhi-Hua Zhou |
| 2018 | AAAI | AutoEncoder by Forest. | Ji Feng, Zhi-Hua Zhou |
| 2018 | AAAI | Dual Set Multi-Label Learning. | Chong Liu, Peng Zhao, Sheng-Jun Huang, Yuan Jiang, Zhi-Hua Zhou |
| 2018 | AAAI | Optimal Margin Distribution Clustering. | Teng Zhang, Zhi-Hua Zhou |
| 2018 | AAAI | Label Distribution Learning by Optimal Transport. | Peng Zhao, Zhi-Hua Zhou |
| 2018 | ICDM | Improving Deep Forest by Confidence Screening. | Ming Pang, Kai-Ming Ting, Peng Zhao, Zhi-Hua Zhou |
| 2018 | ICML | Rectify Heterogeneous Models with Semantic Mapping. | Han-Jia Ye, De-Chuan Zhan, Yuan Jiang, Zhi-Hua Zhou |
| 2018 | ICML | Dynamic Regret of Strongly Adaptive Methods. | Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou |
| 2018 | IJCAI | Tri-net for Semi-Supervised Deep Learning. | Dongdong Chen, Wei Wang, Wei Gao, Zhi-Hua Zhou |
| 2018 | IJCAI | Experienced Optimization with Reusable Directional Model for Hyper-Parameter Search. | Yi-Qi Hu, Yang Yu, Zhi-Hua Zhou |
| 2018 | IJCAI | Learning Environmental Calibration Actions for Policy Self-Evolution. | Chao Zhang, Yang Yu, Zhi-Hua Zhou |
| 2018 | IJCAI | Semi-Supervised Optimal Margin Distribution Machines. | Teng Zhang, Zhi-Hua Zhou |
| 2018 | KDD | Isolation Kernel and Its Effect on SVM. | Kai Ming Ting, Yue Zhu, Zhi-Hua Zhou |
| 2018 | PAKDD | Social Stream Classification with Emerging New Labels. | Xin Mu, Feida Zhu, Yue Liu, Ee-Peng Lim, Zhi-Hua Zhou |
| 2018 | WWW | Anomaly Detection with Partially Observed Anomalies. | Ya-Lin Zhang, Longfei Li, Jun Zhou, Xiaolong Li, Zhi-Hua Zhou |
| 2017 | AAAI | Combining Logical Abduction and Statistical Induction: Discovering Written Primitives with Human Knowledge. | Wang-Zhou Dai, Zhi-Hua Zhou |
| 2017 | AAAI | Deep MIML Network. | Ji Feng, Zhi-Hua Zhou |
| 2017 | AAAI | Learning Safe Prediction for Semi-Supervised Regression. | Yufeng Li, Han-Wen Zha, Zhi-Hua Zhou |
| 2017 | AAAI | Streaming Classification with Emerging New Class by Class Matrix Sketching. | Xin Mu, Feida Zhu, Juan Du, Ee-Peng Lim, Zhi-Hua Zhou |
| 2017 | AAAI | Deep Learning for Fixed Model Reuse. | Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang, Zhi-Hua Zhou |
| 2017 | AAAI | Discover Multiple Novel Labels in Multi-Instance Multi-Label Learning. | Yue Zhu, Kai Ming Ting, Zhi-Hua Zhou |
| 2017 | CCS | POSTER: A PU Learning based System for Potential Malicious URL Detection. | Ya-Lin Zhang, Longfei Li, Jun Zhou, Xiaolong Li, Yujiang Liu, Yuanchao Zhang, Zhi-Hua Zhou |
| 2017 | CIKM | BayDNN: Friend Recommendation with Bayesian Personalized Ranking Deep Neural Network. | Daizong Ding, Mi Zhang, Shao-Yuan Li, Jie Tang, Xiaotie Chen, Zhi-Hua Zhou |
| 2017 | ICDM | New Class Adaptation Via Instance Generation in One-Pass Class Incremental Learning. | Yue Zhu, Kai Ming Ting, Zhi-Hua Zhou |
| 2017 | ICML | A Unified View of Multi-Label Performance Measures. | Xi-Zhu Wu, Zhi-Hua Zhou |
| 2017 | ICML | Multi-Class Optimal Margin Distribution Machine. | Teng Zhang, Zhi-Hua Zhou |
| 2017 | IJCAI | Storage Fit Learning with Unlabeled Data. | Bo-Jian Hou, Lijun Zhang, Zhi-Hua Zhou |
| 2017 | IJCAI | Cost-Effective Active Learning from Diverse Labelers. | Sheng-Jun Huang, Jia-Lve Chen, Xin Mu, Zhi-Hua Zhou |
| 2017 | IJCAI | Optimizing Ratio of Monotone Set Functions. | Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou |
| 2017 | IJCAI | 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 |
| 2017 | IJCAI | 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 |
| 2017 | IJCAI | Incomplete Label Distribution Learning. | Miao Xu, Zhi-Hua Zhou |
| 2017 | IJCAI | Multi-Instance Learning with Key Instance Shift. | Ya-Lin Zhang, Zhi-Hua Zhou |
| 2017 | IJCAI | Deep Forest: Towards An Alternative to Deep Neural Networks. | Zhi-Hua Zhou, Ji Feng |
| 2017 | ILP | Logical Vision: One-Shot Meta-Interpretive Learning from Real Images. | Wang-Zhou Dai, Stephen H. Muggleton, Jing Wen, Alireza Tamaddoni-Nezhad, Zhi-Hua Zhou |
| 2017 | PAKDD | Multi-View Matrix Completion for Clustering with Side Information. | Peng Zhao, Yuan Jiang, Zhi-Hua Zhou |
| 2016 | AAAI | Stochastic Optimization for Kernel PCA. | Lijun Zhang, Tianbao Yang, Jinfeng Yi, Rong Jin, Zhi-Hua Zhou |
| 2016 | AAAI | Risk Minimization in the Presence of Label Noise. | Wei Gao, Lu Wang, Yufeng Li, Zhi-Hua Zhou |
| 2016 | AAAI | Column Sampling Based Discrete Supervised Hashing. | Wang-Cheng Kang, Wu-Jun Li, Zhi-Hua Zhou |
| 2016 | AAAI | Towards Safe Semi-Supervised Learning for Multivariate Performance Measures. | Yufeng Li, James T. Kwok, Zhi-Hua Zhou |
| 2016 | AAAI | Learning to Generate Posters of Scientific Papers. | Yuting Qiang, Yanwei Fu, Yanwen Guo, Zhi-Hua Zhou, Leonid Sigal |
| 2016 | AAAI | Learning Expected Hitting Time Distance. | De-Chuan Zhan, Peng Hu, Zui Chu, Zhi-Hua Zhou |
| 2016 | ACML | Learnability of Non-I.I.D. | Wei Gao, Xin-Yi Niu, Zhi-Hua Zhou |
| 2016 | ALT | Sparse Learning for Large-Scale and High-Dimensional Data: A Randomized Convex-Concave Optimization Approach. | Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou |
| 2016 | ICDM | Multi-label Learning with Emerging New Labels. | Yue Zhu, Kai Ming Ting, Zhi-Hua Zhou |
| 2016 | ICML | Online Stochastic Linear Optimization under One-bit Feedback. | Lijun Zhang, Tianbao Yang, Rong Jin, Yichi Xiao, Zhi-Hua Zhou |
| 2016 | IJCAI | Learning Unified Features from Natural and Programming Languages for Locating Buggy Source Code. | Xuan Huo, Ming Li, Zhi-Hua Zhou |
| 2016 | IJCAI | Transductive Optimization of Top k Precision. | Li-Ping Liu, Thomas G. Dietterich, Nan Li, Zhi-Hua Zhou |
| 2016 | IJCAI | Graph Quality Judgement: A Large Margin Expedition. | Yufeng Li, Shao-Bo Wang, Zhi-Hua Zhou |
| 2016 | IJCAI | Parallel Pareto Optimization for Subset Selection. | Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou |
| 2016 | IJCAI | Cost-Saving Effect of Crowdsourcing Learning. | Lu Wang, Zhi-Hua Zhou |
| 2016 | IDEAL | A Lower Bound Analysis of Population-Based Evolutionary Algorithms for Pseudo-Boolean Functions. | Chao Qian, Yang Yu, Zhi-Hua Zhou |
| 2016 | KDD | User Identity Linkage by Latent User Space Modelling. | Xin Mu, Feida Zhu, Ee-Peng Lim, Jing Xiao, Jianzong Wang, Zhi-Hua Zhou |
| 2016 | KDD | Overcoming Key Weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure. | Kai Ming Ting, Ye Zhu, Mark James Carman, Yue Zhu, Zhi-Hua Zhou |
| 2016 | PPSN | Selection Hyper-heuristics Can Provably Be Helpful in Evolutionary Multi-objective Optimization. | Chao Qian, Ke Tang, Zhi-Hua Zhou |
| 2016 | PRICAI | Facial Age Estimation by Total Ordering Preserving Projection. | Xiao-Dong Wang, Zhi-Hua Zhou |
| 2015 | AAAI | Online Bandit Learning for a Special Class of Non-Convex Losses. | Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou |
| 2015 | AAAI | Structured Sparsity with Group-Graph Regularization. | Xin-Yu Dai, Jianbing Zhang, Shujian Huang, Jiajun Chen, Zhi-Hua Zhou |
| 2015 | AAAI | Pareto Ensemble Pruning. | Chao Qian, Yang Yu, Zhi-Hua Zhou |
| 2015 | ACML | Statistical Unfolded Logic Learning. | Wang-Zhou Dai, Zhi-Hua Zhou |
| 2015 | ACML | One-Pass Multi-View Learning. | Yue Zhu, Wei Gao, Zhi-Hua Zhou |
| 2015 | AISTATS | A Simple Homotopy Algorithm for Compressive Sensing. | Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou |
| 2015 | CIKM | Rank Consistency based Multi-View Learning: A Privacy-Preserving Approach. | Han-Jia Ye, De-Chuan Zhan, Yuan Miao, Yuan Jiang, Zhi-Hua Zhou |
| 2015 | ICML | CUR Algorithm for Partially Observed Matrices. | Miao Xu, Rong Jin, Zhi-Hua Zhou |
| 2015 | IJCAI | On the Consistency of AUC Pairwise Optimization. | Wei Gao, Zhi-Hua Zhou |
| 2015 | IJCAI | Multi-Label Active Learning: Query Type Matters. | Sheng-Jun Huang, Songcan Chen, Zhi-Hua Zhou |
| 2015 | IJCAI | On Constrained Boolean Pareto Optimization. | Chao Qian, Yang Yu, Zhi-Hua Zhou |
| 2015 | IJCAI | Active Learning from Crowds with Unsure Option. | Jinhong Zhong, Ke Tang, Zhi-Hua Zhou |
| 2015 | ILP | Logical Vision: Meta-Interpretive Learning for Simple Geometrical Concepts. | Wang-Zhou Dai, Stephen H. Muggleton, Zhi-Hua Zhou |
| 2014 | AAAI | Learning with Augmented Class by Exploiting Unlabeled Data. | Qing Da, Yang Yu, Zhi-Hua Zhou |
| 2014 | AAAI | Fast Multi-Instance Multi-Label Learning. | Sheng-Jun Huang, Wei Gao, Zhi-Hua Zhou |
| 2014 | AAAI | Partial Multi-View Clustering. | Shao-Yuan Li, Yuan Jiang, Zhi-Hua Zhou |
| 2014 | AAAI | Labeling Complicated Objects: Multi-View Multi-Instance Multi-Label Learning. | Cam-Tu Nguyen, Xiaoliang Wang, Jing Liu, Zhi-Hua Zhou |
| 2014 | AAAI | Multi-Instance Learning with Distribution Change. | Weijia Zhang, Zhi-Hua Zhou |
| 2014 | ACML | Learning with Augmented Multi-Instance View. | Yue Zhu, Jianxin Wu, Yuan Jiang, Zhi-Hua Zhou |
| 2014 | DSAA | Location semantics prediction for living analytics by mining smartphone data. | Chi-Min Huang, Josh Jia-Ching Ying, Vincent S. Tseng, Zhi-Hua Zhou |
| 2014 | ICDM | Scalable Multi-instance Learning. | Xiu-Shen Wei, Jianxin Wu, Zhi-Hua Zhou |
| 2014 | ISCA | ArchRanker: A ranking approach to design space exploration. | Tianshi Chen, Qi Guo, Ke Tang, Olivier Temam, Zhiwei Xu, Zhi-Hua Zhou, Yunji Chen |
| 2014 | KDD | Exploiting geographic dependencies for real estate appraisal: a mutual perspective of ranking and clustering. | Yanjie Fu, Hui Xiong, Yong Ge, Zijun Yao, Yu Zheng, Zhi-Hua Zhou |
| 2014 | KDD | Meta-path based multi-network collective link prediction. | Jiawei Zhang, Philip S. Yu, Zhi-Hua Zhou |
| 2014 | KDD | Large margin distribution machine. | Teng Zhang, Zhi-Hua Zhou |
| 2014 | PPSN | On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments. | Chao Qian, Yang Yu, Yaochu Jin, Zhi-Hua Zhou |
| 2013 | AAAI | Multi-Label Learning with PRO Loss. | Miao Xu, Yufeng Li, Zhi-Hua Zhou |
| 2013 | ACML | Co-Training with Insufficient Views. | Wei Wang, Zhi-Hua Zhou |
| 2013 | ICDM | Active Query Driven by Uncertainty and Diversity for Incremental Multi-label Learning. | Sheng-Jun Huang, Zhi-Hua Zhou |
| 2013 | ICDM | Learning Imbalanced Multi-class Data with Optimal Dichotomy Weights. | Xu-Ying Liu, Qian-Qian Li, Zhi-Hua Zhou |
| 2013 | ICML | One-Pass AUC Optimization. | Wei Gao, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou |
| 2013 | IJCAI | Uniform Convergence, Stability and Learnability for Ranking Problems. | Wei Gao, Zhi-Hua Zhou |
| 2013 | IJCAI | Multi-Modal Image Annotation with Multi-Instance Multi-Label LDA. | Cam-Tu Nguyen, De-Chuan Zhan, Zhi-Hua Zhou |
| 2013 | IJCAI | Multi-Instance Multi-Label Learning with Weak Label. | Shu-Jun Yang, Yuan Jiang, Zhi-Hua Zhou |
| 2013 | IJCAI | On the Approximation Ability of Evolutionary Optimization with Application to Minimum Set Cover: Extended Abstract. | Yang Yu, Xin Yao, Zhi-Hua Zhou |
| 2013 | IJCAI | Exploiting Label Relationship in Multi-Label Learning. | Zhi-Hua Zhou |
| 2013 | PERCOM | B-Planner: Night bus route planning using large-scale taxi GPS traces. | Chao Chen, Daqing Zhang, Zhi-Hua Zhou, Nan Li, Tlin Atmaca, Shijian Li |
| 2012 | AAAI | Multi-Label Learning by Exploiting Label Correlations Locally. | Sheng-Jun Huang, Zhi-Hua Zhou |
| 2012 | AAAI | Towards Discovering What Patterns Trigger What Labels. | Yufeng Li, Ju-Hua Hu, Yuan Jiang, Zhi-Hua Zhou |
| 2012 | ACCV | Disagreement-Based Multi-system Tracking. | Quannan Li, Xinggang Wang, Wei Wang, Yuan Jiang, Zhi-Hua Zhou, Zhuowen Tu |
| 2012 | CVPR | Unsupervised metric fusion by cross diffusion. | Bo Wang, Jiayan Jiang, Wei Wang, Zhi-Hua Zhou, Zhuowen Tu |
| 2012 | GRC | Exploitation of label relationship in multi-label learning. | Zhi-Hua Zhou |
| 2012 | INFOCOM | Resource allocation for heterogeneous multiuser OFDM-based cognitive radio networks with imperfect spectrum sensing. | Shaowei Wang, Zhi-Hua Zhou, Mengyao Ge, Chonggang Wang |
| 2012 | KDD | Multi-label hypothesis reuse. | Sheng-Jun Huang, Yang Yu, Zhi-Hua Zhou |
| 2012 | PAKDD | Building Decision Trees for the Multi-class Imbalance Problem. | T. Ryan Hoens, Qi Qian, Nitesh V. Chawla, Zhi-Hua Zhou |
| 2012 | PPSN | On Algorithm-Dependent Boundary Case Identification for Problem Classes. | Chao Qian, Yang Yu, Zhi-Hua Zhou |
| 2011 | AAAI | Improving Semi-Supervised Support Vector Machines Through Unlabeled Instances Selection. | Yufeng Li, Zhi-Hua Zhou |
| 2011 | AAAI | Localized K-Flats. | Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou |
| 2011 | GECCO | An analysis on recombination in multi-objective evolutionary optimization. | Chao Qian, Yang Yu, Zhi-Hua Zhou |
| 2011 | GECCO | Collisions are helpful for computing unique input-output sequences. | Chao Qian, Yang Yu, Zhi-Hua Zhou |
| 2011 | ICDM | Lifted-Rollout for Approximate Policy Iteration of Markov Decision Process. | Wang-Zhou Dai, Yang Yu, Zhi-Hua Zhou |
| 2011 | ICDM | A Taxi Driving Fraud Detection System. | Yong Ge, Hui Xiong, Chuanren Liu, Zhi-Hua Zhou |
| 2011 | ICML | Towards Making Unlabeled Data Never Hurt. | Yufeng Li, Zhi-Hua Zhou |
| 2011 | IJCAI | Effective and Efficient Microprocessor Design Space Exploration Using Unlabeled Design Configurations. | Qi Guo, Tianshi Chen, Yunji Chen, Zhi-Hua Zhou, Weiwu Hu, Zhiwei Xu |
| 2011 | IJCAI | Local and Structural Consistency for Multi-Manifold Clustering. | Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou |
| 2011 | IJCAI | Line Orthogonality in Adjacency Eigenspace with Application to Community Partition. | Leting Wu, Xiaowei Ying, Xintao Wu, Zhi-Hua Zhou |
| 2011 | IJCAI | Diversity Regularized Machine. | Yang Yu, Yufeng Li, Zhi-Hua Zhou |
| 2011 | MDAI | Cost-Sensitive Learning. | Zhi-Hua Zhou |
| 2011 | PAKDD | Towards Cost-Sensitive Learning for Real-World Applications. | Xu-Ying Liu, Zhi-Hua Zhou |
| 2011 | PAKDD | Spectral Analysis of | Leting Wu, Xiaowei Ying, Xintao Wu, Aidong Lu, Zhi-Hua Zhou |
| 2010 | AAAI | Facial Age Estimation by Learning from Label Distributions. | Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou |
| 2010 | AAAI | Cost-Sensitive Semi-Supervised Support Vector Machine. | Yufeng Li, James T. Kwok, Zhi-Hua Zhou |
| 2010 | AAAI | Multi-Instance Dimensionality Reduction. | Yu-Yin Sun, Michael K. Ng, Zhi-Hua Zhou |
| 2010 | AAAI | Multi-Label Learning with Weak Label. | Yu-Yin Sun, Yin Zhang, Zhi-Hua Zhou |
| 2010 | ALT | Approximation Stability and Boosting. | Wei Gao, Zhi-Hua Zhou |
| 2010 | CIKM | Top-Eye: top-k evolving trajectory outlier detection. | Yong Ge, Hui Xiong, Zhi-Hua Zhou, Hasan Timucin Ozdemir, Jannite Yu, Kuo Chu Lee |
| 2010 | ICDM | Exploiting Unlabeled Data to Enhance Ensemble Diversity. | Min-Ling Zhang, Zhi-Hua Zhou |
| 2010 | ICML | A New Analysis of Co-Training. | Wei Wang, Zhi-Hua Zhou |
| 2010 | KDD | Learning with cost intervals. | Xu-Ying Liu, Zhi-Hua Zhou |
| 2010 | PPSN | Towards Analyzing Recombination Operators in Evolutionary Search. | Yang Yu, Chao Qian, Zhi-Hua Zhou |
| 2010 | PRICAI | Multi-manifold Clustering. | Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou |
| 2009 | CVPR | Learning a distance metric from multi-instance multi-label data. | Rong Jin, Shijun Wang, Zhi-Hua Zhou |
| 2009 | CVPR | Enhanced Pictorial Structures for precise eye localization under incontrolled conditions. | Xiaoyang Tan, Fengyi Song, Zhi-Hua Zhou, Songcan Chen |
| 2009 | ICDM | Least Square Incremental Linear Discriminant Analysis. | Li-Ping Liu, Yuan Jiang, Zhi-Hua Zhou |
| 2009 | ICDM | Semi-naive Exploitation of One-Dependence Estimators. | Nan Li, Yang Yu, Zhi-Hua Zhou |
| 2009 | ICML | Semi-supervised learning using label mean. | Yufeng Li, James T. Kwok, Zhi-Hua Zhou |
| 2009 | ICML | Learning instance specific distances using metric propagation. | De-Chuan Zhan, Ming Li, Yufeng Li, Zhi-Hua Zhou |
| 2009 | ICML | Multi-instance learning by treating instances as non-I.I.D. samples. | Zhi-Hua Zhou, Yu-Yin Sun, Yufeng Li |
| 2009 | IJCAI | DrosophilaGene Expression Pattern Annotation through Multi-Instance Multi-Label Learning. | Ying-Xin Li, Shuiwang Ji, Sudhir Kumar, Jieping Ye, Zhi-Hua Zhou |
| 2009 | IJCAI | Exploiting Multi-Modal Interactions: A Unified Framework. | Ming Li, Xiao-Bing Xue, Zhi-Hua Zhou |
| 2009 | IJCAI | Non-Metric Label Propagation. | Yin Zhang, Zhi-Hua Zhou |
| 2009 | KDD | Drosophila gene expression pattern annotation using sparse features and term-term interactions. | Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye |
| 2009 | PAKDD | When does Co-training Work in Real Data?. | Charles X. Ling, Jun Du, Zhi-Hua Zhou |
| 2009 | PAKDD | Budget Semi-supervised Learning. | Zhi-Hua Zhou, Michael K. Ng, Qiao-Qiao She, Yuan Jiang |
| 2008 | AAAI | Constraint Projections for Ensemble Learning. | Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou, Qiang Yang |
| 2008 | AAAI | Multi-Label Dimensionality Reduction via Dependence Maximization. | Yin Zhang, Zhi-Hua Zhou |
| 2008 | CEC | On the usefulness of infeasible solutions in evolutionary search: A theoretical study. | Yang Yu, Zhi-Hua Zhou |
| 2008 | COLT | On the Margin Explanation of Boosting Algorithms. | Liwei Wang, Masashi Sugiyama, Cheng Yang, Zhi-Hua Zhou, Jufu Feng |
| 2008 | CVPR | Cost-sensitive face recognition. | Yin Zhang, Zhi-Hua Zhou |
| 2008 | GRC | Semi-supervised Learning by Disagreement. | Zhi-Hua Zhou |
| 2008 | ICDM | Isolation Forest. | Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou |
| 2008 | ICDM | TEFE: A Time-Efficient Approach to Feature Extraction. | Li-Ping Liu, Yang Yu, Yuan Jiang, Zhi-Hua Zhou |
| 2008 | ICDM | M3MIML: A Maximum Margin Method for Multi-instance Multi-label Learning. | Min-Ling Zhang, Zhi-Hua Zhou |
| 2008 | ICML | On multi-view active learning and the combination with semi-supervised learning. | Wei Wang, Zhi-Hua Zhou |
| 2008 | PAKDD | Mining Bulletin Board Systems Using Community Generation. | Ming Li, Zhongfei (Mark) Zhang, Zhi-Hua Zhou |
| 2008 | PAKDD | A Framework for Modeling Positive Class Expansion with Single Snapshot. | Yang Yu, Zhi-Hua Zhou |
| 2007 | AAAI | Multi-Label Learning by Instance Differentiation. | Min-Ling Zhang, Zhi-Hua Zhou |
| 2007 | AAAI | Semi-Supervised Learning with Very Few Labeled Training Examples. | Zhi-Hua Zhou, De-Chuan Zhan, Qiang Yang |
| 2007 | ADMA | Mining Ambiguous Data with Multi-instance Multi-label Representation. | Zhi-Hua Zhou |
| 2007 | ICDM | Cocktail Ensemble for Regression. | Yang Yu, Zhi-Hua Zhou, Kai Ming Ting |
| 2007 | ICML | On the relation between multi-instance learning and semi-supervised learning. | Zhi-Hua Zhou, Jun-Ming Xu |
| 2007 | IJCAI | Exploiting Image Contents in Web Search. | Zhi-Hua Zhou, Hong-Bin Dai |
| 2007 | PAKDD | Applications of Data Mining in E-Business Finance: Introduction. | Carlos Soares, Yonghong Peng, Jun Meng, Takashi Washio, Zhi-Hua Zhou |
| 2007 | SDM | Semi-Supervised Dimensionality Reduction. | Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen |
| 2006 | AAAI | Improve Web Search Using Image Snippets. | Xiao-Bing Xue, Zhi-Hua Zhou, Zhongfei (Mark) Zhang |
| 2006 | AAAI | A New Approach to Estimating the Expected First Hitting Time of Evolutionary Algorithms. | Yang Yu, Zhi-Hua Zhou |
| 2006 | AAAI | On Multi-Class Cost-Sensitive Learning. | Zhi-Hua Zhou, Xu-Ying Liu |
| 2006 | CVPR | Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion. | Xiaoyang Tan, Songcan Chen, Jun Li, Zhi-Hua Zhou |
| 2006 | ICDM | Exploratory Under-Sampling for Class-Imbalance Learning. | Xu-Ying Liu, Jianxin Wu, Zhi-Hua Zhou |
| 2006 | ICDM | The Influence of Class Imbalance on Cost-Sensitive Learning: An Empirical Study. | Xu-Ying Liu, Zhi-Hua Zhou |
| 2006 | ICDM | Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels. | Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen |
| 2006 | ICDM | Query-Sensitive Similarity Measure for Content-Based Image Retrieval. | Zhi-Hua Zhou, Hong-Bin Dai |
| 2006 | ICNC | Ensemble-Based Discriminant Manifold Learning for Face Recognition. | Junping Zhang, Li He, Zhi-Hua Zhou |
| 2006 | PAKDD | Generation of Comprehensible Hypotheses from Gene Expression Data. | Yuan Jiang, Ming Li, Zhi-Hua Zhou |
| 2006 | PAKDD | Neighbor Line-Based Locally Linear Embedding. | De-Chuan Zhan, Zhi-Hua Zhou |
| 2006 | PRICAI | Uncontrolled Face Recognition by Individual Stable Neural Network. | Xin Geng, Zhi-Hua Zhou, Honghua Dai |
| 2006 | PRICAI | Non-negative Matrix Factorization on Kernels. | Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen |
| 2006 | PRICAI | Learning with Unlabeled Data and Its Application to Image Retrieval. | Zhi-Hua Zhou |
| 2006 | SSPR | Recognizing Face or Object from a Single Image: Linear vs. Kernel Methods on 2D Patterns. | Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou |
| 2005 | GRC | A k-nearest neighbor based algorithm for multi-label classification. | Min-Ling Zhang, Zhi-Hua Zhou |
| 2005 | IJCAI | Semi-Supervised Regression with Co-Training. | Zhi-Hua Zhou, Ming Li |
| 2005 | ISNN | Spiculated Lesion Detection in Digital Mammogram Based on Artificial Neural Network Ensemble. | Ning Li, Huajie Zhou, Jinjiang Ling, Zhi-Hua Zhou |
| 2005 | PAKDD | SETRED: Self-training with Editing. | Ming Li, Zhi-Hua Zhou |
| 2005 | PAKDD | Feature Selection for High Dimensional Face Image Using Self-organizing Maps. | Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang |
| 2004 | ISNN | Editing Training Data for kNN Classifiers with Neural Network Ensemble. | Yuan Jiang, Zhi-Hua Zhou |
| 2004 | ISNN | Progressive Principal Component Analysis. | Jun Liu, Songcan Chen, Zhi-Hua Zhou |
| 2004 | ISNN | Robust Face Recognition from a Single Training Image per Person with Kernel-Based SOM-Face. | Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang |
| 2004 | ISNN | Fuzzy-Kernel Learning Vector Quantization. | Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou |
| 2004 | PAKDD | Ensembling MML Causal Discovery. | Honghua Dai, Gang Li, Zhi-Hua Zhou |
| 2004 | PAKDD | On the Size of Training Set and the Benefit from Ensemble. | Zhi-Hua Zhou, Dan Wei, Gang Li, Honghua Dai |
| 2003 | ICTAI | A Novel Bag Generator for Image Database Retrieval With Multi-Instance Learning Techniques. | Zhi-Hua Zhou, Min-Ling Zhang, Ke-Jia Chen |
| 2001 | IJCAI | Genetic Algorithm based Selective Neural Network Ensemble. | Zhi-Hua Zhou, Jianxin Wu, Yuan Jiang, Shifu Chen |
| 2000 | IJCNN | Using Neural Networks for Fault Diagnosis. | Jia-Zhou He, Zhi-Hua Zhou, Xu-Ri Yin, Shifu Chen |
| 2000 | IJCNN | A Statistics Based Approach for Extracting Priority Rules from Trained Neural Networks. | Zhi-Hua Zhou, Shifu Chen, Zhaoqian Chen |
| 1999 | ICTAI | Mining Typhoon Knowledge with Neural Networks. | Zhi-Hua Zhou, Shifu Chen, Zhaoqian Chen |