Zhi-Hua Zhou - RankMe

753 papers A* 226A 29B 25C 12Misc 5Journal 353Unranked 72

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advancing Automated Algorithm Design via Evolutionary Stagewise Design with LLMs. CoRR Chen Lu, Ke Xue, Chengrui Gao, Yunqi Shi, Siyuan Xu, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou
2026	J	`jnl`	AeroSketch: Near-Optimal Time Matrix Sketch Framework for Persistent, Sliding Window, and Distributed Streams. CoRR Hanyan Yin, Dongxie Wen, Jiajun Li, Zhewei Wei, Xiao Zhang, Peng Zhao, Zhi-Hua Zhou
2026	A*	`conf`	CoRE-Learning with Look-Ahead and Immediate Resource Allocation. AAAI Jing Wang, Xi-Tong Liu, Zhi-Hua Zhou
2026	J	`jnl`	Dynamic Regret via Discounted-to-Dynamic Reduction with Applications to Curved Losses and Adam Optimizer. CoRR Yan-Feng Xie, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou
2026	J	`jnl`	Extended UCB Policies for Multi-armed Bandit Problems. Mach. Learn. Keqin Liu, Tianshuo Zheng, Zhi-Hua Zhou
2026	J	`jnl`	Reparameterized Complex-valued Neurons Can Efficiently Learn More than Real-valued Neurons via Gradient Descent. J. Mach. Learn. Res. Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou
2026	J	`jnl`	Revisiting Weighted Strategy for Non-Stationary Parametric Bandits and MDPs. IEEE Trans. Inf. Theory Jing Wang, Peng Zhao, Zhi-Hua Zhou
2026	J	`jnl`	Revisiting Weighted Strategy for Non-stationary Parametric Bandits and MDPs. CoRR Jing Wang, Peng Zhao, Zhi-Hua Zhou
2026	A*	`conf`	Tabular Learnwares Can Be Repurposed for Seemingly Irrelevant New Tasks. AAAI Peng Tan, Feifan Yang, Zhi-Hao Tan, Zhi-Hua Zhou
2026	J	`jnl`	ZipMoE: Efficient On-Device MoE Serving via Lossless Compression and Cache-Affinity Scheduling. CoRR Yuchen Yang, Yaru Zhao, Pu Yang, Shaowei Wang, Zhi-Hua Zhou
2025	J	`jnl`	A Simple, Optimal and Efficient Algorithm for Online Exp-Concave Optimization. CoRR Yi-Han Wang, Peng Zhao, Zhi-Hua Zhou
2025	J	`jnl`	A Smooth Transition Between Induction and Deduction: Fast Abductive Learning Based on Probabilistic Symbol Perception. CoRR Lin-Han Jia, Si-Yu Han, Lan-Zhe Guo, Zhi Zhou, Zhao-Long Li, Yufeng Li, Zhi-Hua Zhou
2025	J	`jnl`	Abductive multi-instance multi-label learning for periodontal disease classification with prior domain knowledge. Medical Image Anal. Zi-Yuan Wu, Wei Guo, Wei Zhou, Han-Jia Ye, Yuan Jiang, Houxuan Li, Zhi-Hua Zhou
2025	—	`conf`	Achieving Nearly-Optimal Regret and Sample Complexity in Dueling Bandits with Applications in Online Recommendations. KDD (1) Lanjihong Ma, Yao-Xiang Ding, Zhen-Yu Zhang, Zhi-Hua Zhou
2025	—	`conf`	Adapting to Generalized Online Label Shift by Invariant Representation Learning. KDD (1) Yu-Yang Qian, Yi-Han Wang, Zhen-Yu Zhang, Yuan Jiang, Zhi-Hua Zhou
2025	J	`jnl`	Adaptivity and Universality: Problem-dependent Universal Regret for Online Convex Optimization. CoRR Peng Zhao, Yu-Hu Yan, Hang Yu, Zhi-Hua Zhou
2025	A*	`conf`	Avoiding Undesired Future with Sequential Decisions. IJCAI Lue Tao, Tian-Zuo Wang, Yuan Jiang, Zhi-Hua Zhou
2025	J	`jnl`	Curriculum Abductive Learning. CoRR Wen-Chao Hu, Qi-Jie Li, Lin-Han Jia, Cunjing Ge, Yufeng Li, Yuan Jiang, Zhi-Hua Zhou
2025	J	`jnl`	Dual Adaptivity: Universal Algorithms for Minimizing the Adaptive Regret of Convex Functions. CoRR Lijun Zhang, Wenhao Yang, Guanghui Wang, Wei Jiang, Zhi-Hua Zhou
2025	—	`conf`	Dynamic Learnware Filtering for Efficient Learnware Identification and System Slimming. KDD (2) Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou
2025	J	`jnl`	Efficient Methods for Non-stationary Online Learning. J. Mach. Learn. Res. Peng Zhao, Yan-Feng Xie, Lijun Zhang, Zhi-Hua Zhou
2025	A*	`conf`	Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection (Extended Abstract). IJCAI Wen-Chao Hu, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou
2025	A*	`conf`	Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection. AAAI Wen-Chao Hu, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou
2025	A*	`conf`	Enabling Optimal Decisions in Rehearsal Learning under CARE Condition. ICML Wen-Bo Du, Hao-Yi Lei, Lue Tao, Tian-Zuo Wang, Zhi-Hua Zhou
2025	J	`jnl`	Estimating possible causal effects with latent variables via adjustment and novel rule orientation. Artif. Intell. Tian-Zuo Wang, Lue Tao, Tian Qin, Zhi-Hua Zhou
2025	J	`jnl`	Generalist Reward Models: Found Inside Large Language Models. CoRR Yi-Chen Li, Tian Xu, Yang Yu, Xuqin Zhang, Xiong-Hui Chen, Zhongxiang Ling, Ningjing Chao, Lei Yuan, Zhi-Hua Zhou
2025	J	`jnl`	Get Experience from Practice: LLM Agents with Record & Replay. CoRR Erhu Feng, Wenbo Zhou, Zibin Liu, Le Chen, Yunpeng Dong, Cheng Zhang, Yisheng Zhao, Dong Du, Zhi-Hua Zhou, Yubin Xia, Haibo Chen
2025	A*	`conf`	Gradient-Based Nonlinear Rehearsal Learning with Multivariate Alterations. AAAI Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou
2025	J	`jnl`	Handling New Class in Online Label Shift. IEEE Trans. Knowl. Data Eng. Yu-Yang Qian, Yong Bai, Zhen-Yu Zhang, Peng Zhao, Zhi-Hua Zhou
2025	A*	`conf`	Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update. ICML Jing Wang, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou
2025	J	`jnl`	Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update. CoRR Jing Wang, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou
2025	A*	`conf`	Identifying and Reusing Learnwares Across Different Label Spaces. IJCAI Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou
2025	J	`jnl`	Learning Objective Adaptation by Correlation-Based Model Reuse. IEEE Trans. Neural Networks Learn. Syst. Lanjihong Ma, Yao-Xiang Ding, Peng Zhao, Zhi-Hua Zhou
2025	J	`jnl`	Learnware of Language Models: Specialized Small Language Models Can Do Big. CoRR Zhi-Hao Tan, Zi-Chen Zhao, Hao-Yu Shi, Xin-Yu Zhang, Peng Tan, Yang Yu, Zhi-Hua Zhou
2025	A*	`conf`	On the Diversity of Adversarial Ensemble Learning. ICML Jun-Qi Guo, Meng-Zhang Qian, Wei Gao, Zhi-Hua Zhou
2025	A*	`conf`	One-Pass Feature Evolvable Learning with Theoretical Guarantees. ICML Cun-Yuan Xing, Meng-Zhang Qian, Wuyang Chen, Wei Gao, Zhi-Hua Zhou
2025	J	`jnl`	Open3DBench: Open-Source Benchmark for 3D-IC Backend Implementation and PPA Evaluation. CoRR Yunqi Shi, Chengrui Gao, Wanqi Ren, Siyuan Xu, Ke Xue, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou
2025	J	`jnl`	Optimistic Online-to-Batch Conversions for Accelerated Convergence and Universality. CoRR Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou
2025	A*	`conf`	Polynomial-Delay MAG Listing with Novel Locally Complete Orientation Rules. ICML Tian-Zuo Wang, Wen-Bo Du, Zhi-Hua Zhou
2025	J	`jnl`	Provably Efficient RLHF Pipeline: A Unified View from Contextual Bandits. CoRR Long-Fei Li, Yu-Yang Qian, Peng Zhao, Zhi-Hua Zhou
2025	J	`jnl`	Re CoRR Yunqi Shi, Xi Lin, Zhiang Wang, Siyuan Xu, Shixiong Kai, Yao Lai, Chengrui Gao, Ke Xue, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou
2025	A*	`conf`	ReMaP: Macro Placement by Recursively Prototyping and Periphery-Guided Relocating. DAC Yunqi Shi, Xi Lin, Siyuan Xu, Shixiong Kai, Ke Xue, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou
2025	J	`jnl`	Theoretical Investigation on Inductive Bias of Isolation Forest. CoRR Qin-Cheng Zheng, Shao-Qun Zhang, Shen-Huan Lyu, Yuan Jiang, Zhi-Hua Zhou
2025	A*	`conf`	TreeLoRA: Efficient Continual Learning via Layer-Wise LoRAs Guided by a Hierarchical Gradient-Similarity Tree. ICML Yu-Yang Qian, Yuan-Ze Xu, Zhen-Yu Zhang, Peng Zhao, Zhi-Hua Zhou
2025	J	`jnl`	TreeLoRA: Efficient Continual Learning via Layer-Wise LoRAs Guided by a Hierarchical Gradient-Similarity Tree. CoRR Yu-Yang Qian, Yuan-Ze Xu, Zhen-Yu Zhang, Peng Zhao, Zhi-Hua Zhou
2024	A*	`conf`	A Simple and Optimal Approach for Universal Online Learning with Gradient Variations. NeurIPS Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou
2024	J	`jnl`	Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization. J. Mach. Learn. Res. Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou
2024	A*	`conf`	An Efficient Maximal Ancestral Graph Listing Algorithm. ICML Tian-Zuo Wang, Wen-Bo Du, Zhi-Hua Zhou
2024	A*	`conf`	Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts. ICML Xiaowen Yang, Wenda Wei, Jie-Jing Shao, Yufeng Li, Zhi-Hua Zhou
2024	A*	`conf`	Avoiding Undesired Future with Minimal Cost in Non-Stationary Environments. NeurIPS Wen-Bo Du, Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou
2024	A*	`conf`	Beimingwu: A Learnware Dock System. KDD 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
2024	J	`jnl`	Beimingwu: A Learnware Dock System. CoRR 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
2024	A*	`conf`	Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function Approximation. AAAI Long-Fei Li, Peng Zhao, Zhi-Hua Zhou
2024	A*	`conf`	Efficient Non-stationary Online Learning by Wavelets with Applications to Online Distribution Shift Adaptation. ICML Yu-Yang Qian, Peng Zhao, Yu-Jie Zhang, Masashi Sugiyama, Zhi-Hua Zhou
2024	J	`jnl`	Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection. CoRR Wen-Chao Hu, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou
2024	J	`jnl`	Exploratory machine learning with unknown unknowns. Artif. Intell. Peng Zhao, Jia-Wei Shan, Yu-Jie Zhang, Zhi-Hua Zhou
2024	A*	`conf`	Gradient-Variation Online Learning under Generalized Smoothness. NeurIPS Yan-Feng Xie, Peng Zhao, Zhi-Hua Zhou
2024	J	`jnl`	Gradient-Variation Online Learning under Generalized Smoothness. CoRR Yan-Feng Xie, Peng Zhao, Zhi-Hua Zhou
2024	A*	`conf`	Handling Learnwares from Heterogeneous Feature Spaces with Explicit Label Exploitation. NeurIPS Peng Tan, Hai-Tian Liu, Zhi-Hao Tan, Zhi-Hua Zhou
2024	A*	`conf`	Handling Varied Objectives by Online Decision Making. KDD Lanjihong Ma, Zhen-Yu Zhang, Yao-Xiang Ding, Zhi-Hua Zhou
2024	A	`conf`	Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition. AISTATS Long-Fei Li, Peng Zhao, Zhi-Hua Zhou
2024	J	`jnl`	Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition. CoRR Long-Fei Li, Peng Zhao, Zhi-Hua Zhou
2024	A*	`conf`	Learning Only When It Matters: Cost-Aware Long-Tailed Classification. AAAI Yu-Cheng He, Yao-Xiang Ding, Han-Jia Ye, Zhi-Hua Zhou
2024	A*	`conf`	Learning with Adaptive Resource Allocation. ICML Jing Wang, Miao Yu, Peng Zhao, Zhi-Hua Zhou
2024	J	`jnl`	Learning with Asynchronous Labels. ACM Trans. Knowl. Discov. Data Yu-Yang Qian, Zhen-Yu Zhang, Peng Zhao, Zhi-Hua Zhou
2024	J	`jnl`	Learnware: small models do big. Sci. China Inf. Sci. Zhi-Hua Zhou, Zhi-Hao Tan
2024	J	`jnl`	Margin distribution and structural diversity guided ensemble pruning. Mach. Learn. Yi-Xiao He, Yu-Chang Wu, Chao Qian, Zhi-Hua Zhou
2024	J	`jnl`	Multi-class imbalance problem: A multi-objective solution. Inf. Sci. Yi-Xiao He, Dan-Xuan Liu, Shen-Huan Lyu, Chao Qian, Zhi-Hua Zhou
2024	A*	`conf`	Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs. NeurIPS Long-Fei Li, Peng Zhao, Zhi-Hua Zhou
2024	J	`jnl`	Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs. CoRR Long-Fei Li, Peng Zhao, Zhi-Hua Zhou
2024	J	`jnl`	New Rules for Causal Identification with Background Knowledge. CoRR Tian-Zuo Wang, Lue Tao, Zhi-Hua Zhou
2024	A*	`conf`	On the Ability of Developers' Training Data Preservation of Learnware. NeurIPS Hao-Yi Lei, Zhi-Hao Tan, Zhi-Hua Zhou
2024	J	`jnl`	On the Intrinsic Structures of Spiking Neural Networks. J. Mach. Learn. Res. Shao-Qun Zhang, Jia-Yi Chen, Jin-Hui Wu, Gao Zhang, Huan Xiong, Bin Gu, Zhi-Hua Zhou
2024	A*	`conf`	Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning. ICLR Chengxing Jia, Chenxiao Gao, Hao Yin, Fuxiang Zhang, Xiong-Hui Chen, Tian Xu, Lei Yuan, Zongzhang Zhang, Zhi-Hua Zhou, Yang Yu
2024	A*	`conf`	Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation. NeurIPS Long-Fei Li, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou
2024	J	`jnl`	Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation. CoRR Long-Fei Li, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou
2024	A*	`conf`	Safe Abductive Learning in the Presence of Inaccurate Rules. AAAI Xiaowen Yang, Jie-Jing Shao, Wei-Wei Tu, Yufeng Li, Wang-Zhou Dai, Zhi-Hua Zhou
2024	J	`jnl`	Theoretical Exploration of Flexible Transmitter Model. IEEE Trans. Neural Networks Learn. Syst. Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou
2024	A*	`conf`	Towards Making Learnware Specification and Market Evolvable. AAAI Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou
2024	J	`jnl`	Towards enabling learnware to handle heterogeneous feature spaces. Mach. Learn. Peng Tan, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou
2024	J	`jnl`	Tracking treatment effect heterogeneity in evolving environments. Mach. Learn. Tian Qin, Long-Fei Li, Tian-Zuo Wang, Zhi-Hua Zhou
2024	J	`jnl`	WHALE: Towards Generalizable and Scalable World Models for Embodied Decision-making. CoRR Zhilong Zhang, Ruifeng Chen, Junyin Ye, Yihao Sun, Pengyuan Wang, Jingcheng Pang, Kaiyuan Li, Tianshuo Liu, Haoxin Lin, Yang Yu, Zhi-Hua Zhou
2024	J	`jnl`	Weakly Supervised AUC Optimization: A Unified Partial AUC Approach. IEEE Trans. Pattern Anal. Mach. Intell. Zheng Xie, Yu Liu, Hao-Yuan He, Ming Li, Zhi-Hua Zhou
2023	J	`jnl`	AliExpress Learning-to-Rank: Maximizing Online Model Performance Without Going Online. IEEE Trans. Knowl. Data Eng. 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
2023	A	`conf`	Beyond Performative Prediction: Open-environment Learning with Presence of Corruptions. AISTATS Jia-Wei Shan, Peng Zhao, Zhi-Hua Zhou
2023	A*	`conf`	Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent. NeurIPS Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou
2023	A*	`conf`	Dynamic Regret of Adversarial Linear Mixture MDPs. NeurIPS Long-Fei Li, Peng Zhao, Zhi-Hua Zhou
2023	J	`jnl`	Efficient Methods for Non-stationary Online Learning. CoRR Peng Zhao, Yan-Feng Xie, Lijun Zhang, Zhi-Hua Zhou
2023	A*	`conf`	Enabling Abductive Learning to Exploit Knowledge Graph. IJCAI Yu-Xuan Huang, Zequn Sun, Guangyao Li, Xiaobin Tian, Wang-Zhou Dai, Wei Hu, Yuan Jiang, Zhi-Hua Zhou
2023	A*	`conf`	Enabling Knowledge Refinement upon New Concepts in Abductive Learning. AAAI Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou
2023	A*	`conf`	Estimating Possible Causal Effects with Latent Variables via Adjustment. ICML Tian-Zuo Wang, Tian Qin, Zhi-Hua Zhou
2023	A*	`conf`	Fast Rates in Time-Varying Strongly Monotone Games. ICML Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou
2023	A*	`conf`	Handling Learnwares Developed from Heterogeneous Feature Spaces without Auxiliary Data. IJCAI Peng Tan, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou
2023	A*	`conf`	Handling New Class in Online Label Shift. ICDM Yu-Yang Qian, Yong Bai, Zhen-Yu Zhang, Peng Zhao, Zhi-Hua Zhou
2023	A	`conf`	Identifying Helpful Learnwares Without Examining the Whole Market. ECAI Yi Xie, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou
2023	A*	`conf`	Identifying Useful Learnwares for Heterogeneous Label Spaces. ICML Lan-Zhe Guo, Zhi Zhou, Yufeng Li, Zhi-Hua Zhou
2023	J	`jnl`	Isolation Distributional Kernel: A New Tool for Point and Group Anomaly Detections. IEEE Trans. Knowl. Data Eng. Kai Ming Ting, Bi-Cun Xu, Takashi Washio, Zhi-Hua Zhou
2023	A	`conf`	Learning Causal Structure on Mixed Data with Tree-Structured Functional Models. SDM Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou
2023	—	`conf`	Learning to Coordinate with Anyone. DAI Lei Yuan, Lihe Li, Ziqian Zhang, Feng Chen, Tianyi Zhang, Cong Guan, Yang Yu, Zhi-Hua Zhou
2023	J	`jnl`	Learning to Coordinate with Anyone. CoRR Lei Yuan, Lihe Li, Ziqian Zhang, Feng Chen, Tianyi Zhang, Cong Guan, Yang Yu, Zhi-Hua Zhou
2023	J	`jnl`	Model Reuse With Reduced Kernel Mean Embedding Specification. IEEE Trans. Knowl. Data Eng. Xi-Zhu Wu, Wenkai Xu, Song Liu, Zhi-Hua Zhou
2023	J	`jnl`	Non-stationary Online Learning with Memory and Non-stochastic Control. J. Mach. Learn. Res. Peng Zhao, Yu-Hu Yan, Yu-Xiang Wang, Zhi-Hua Zhou
2023	A	`conf`	On the Consistency Rate of Decision Tree Learning Algorithms. AISTATS Qin-Cheng Zheng, Shen-Huan Lyu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou
2023	A*	`conf`	On the Gini-impurity Preservation For Privacy Random Forests. NeurIPS Xinran Xie, Man-Jie Yuan, Xuetong Bai, Wei Gao, Zhi-Hua Zhou
2023	J	`jnl`	Online Non-stochastic Control with Partial Feedback. J. Mach. Learn. Res. Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou
2023	A	`ed.`	Proceedings of the 2023 SIAM International Conference on Data Mining, SDM 2023, Minneapolis-St. Paul Twin Cities, MN, USA, April 27-29, 2023 SDM Shashi Shekhar, Zhi-Hua Zhou, Yao-Yi Chiang, Gregor Stiglic
2023	A*	`conf`	Rehearsal Learning for Avoiding Undesired Future. NeurIPS Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou
2023	A	`conf`	Revisiting Weighted Strategy for Non-stationary Parametric Bandits. AISTATS Jing Wang, Peng Zhao, Zhi-Hua Zhou
2023	J	`jnl`	Revisiting Weighted Strategy for Non-stationary Parametric Bandits. CoRR Jing Wang, Peng Zhao, Zhi-Hua Zhou
2023	A*	`conf`	Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning. ICLR Xin-Qiang Cai, Yao-Xiang Ding, Zi-Xuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou
2023	J	`jnl`	Sound and complete causal identification with latent variables given local background knowledge. Artif. Intell. Tian-Zuo Wang, Tian Qin, Zhi-Hua Zhou
2023	A*	`conf`	Stochastic Approximation Approaches to Group Distributionally Robust Optimization. NeurIPS Lijun Zhang, Peng Zhao, Zhen-Hua Zhuang, Tianbao Yang, Zhi-Hua Zhou
2023	J	`jnl`	Stochastic Approximation Approaches to Group Distributionally Robust Optimization. CoRR Lijun Zhang, Peng Zhao, Tianbao Yang, Zhi-Hua Zhou
2023	J	`jnl`	Stream Efficient Learning. CoRR Zhi-Hua Zhou
2023	A*	`conf`	Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble Approach. NeurIPS Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou
2023	J	`jnl`	Universal Online Learning with Gradual Variations: A Multi-layer Online Ensemble Approach. CoRR Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou
2023	J	`jnl`	Weakly Supervised AUC Optimization: A Unified Partial AUC Approach. CoRR Zheng Xie, Yu Liu, Hao-Yuan He, Ming Li, Zhi-Hua Zhou
2022	A*	`conf`	Adapting to Online Label Shift with Provable Guarantees. NeurIPS Yong Bai, Yu-Jie Zhang, Peng Zhao, Masashi Sugiyama, Zhi-Hua Zhou
2022	J	`jnl`	Adapting to Online Label Shift with Provable Guarantees. CoRR Yong Bai, Yu-Jie Zhang, Peng Zhao, Masashi Sugiyama, Zhi-Hua Zhou
2022	A*	`conf`	Adaptive Learning for Weakly Labeled Streams. KDD Zhen-Yu Zhang, Yu-Yang Qian, Yu-Jie Zhang, Yuan Jiang, Zhi-Hua Zhou
2022	J	`jnl`	Analysis and Demonstration of First Cross-Support Interferometry Tracking in China Mars Mission. Remote. Sens. Songtao Han, Haijun Man, Mei Wang, Zhi-Hua Zhou, Jianfeng Cao, Wei Gao, Lue Chen, Jinsong Ping
2022	A	`conf`	Anomaly Guided Policy Learning from Imperfect Demonstrations. AAMAS Zi-Xuan Chen, Xin-Qiang Cai, Yuan Jiang, Zhi-Hua Zhou
2022	A*	`conf`	Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits. COLT Haipeng Luo, Mengxiao Zhang, Peng Zhao, Zhi-Hua Zhou
2022	J	`jnl`	Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits. CoRR Haipeng Luo, Mengxiao Zhang, Peng Zhao, Zhi-Hua Zhou
2022	A*	`conf`	Depth is More Powerful than Width with Prediction Concatenation in Deep Forest. NeurIPS Shen-Huan Lyu, Yi-Xiao He, Zhi-Hua Zhou
2022	A*	`conf`	Dynamic Regret of Online Markov Decision Processes. ICML Peng Zhao, Longfei Li, Zhi-Hua Zhou
2022	J	`jnl`	Dynamic Regret of Online Markov Decision Processes. CoRR Peng Zhao, Longfei Li, Zhi-Hua Zhou
2022	A*	`conf`	Efficient Methods for Non-stationary Online Learning. NeurIPS Peng Zhao, Yan-Feng Xie, Lijun Zhang, Zhi-Hua Zhou
2022	A*	`conf`	Fast Provably Robust Decision Trees and Boosting. ICML Jun-Qi Guo, Ming-Zhuo Teng, Wei Gao, Zhi-Hua Zhou
2022	J	`jnl`	Improving Deep Forest by Screening. IEEE Trans. Knowl. Data Eng. Ming Pang, Kai Ming Ting, Peng Zhao, Zhi-Hua Zhou
2022	J	`jnl`	Improving generalization of deep neural networks by leveraging margin distribution. Neural Networks Shen-Huan Lyu, Lu Wang, Zhi-Hua Zhou
2022	J	`jnl`	Learning From Incomplete and Inaccurate Supervision. IEEE Trans. Knowl. Data Eng. Zhen-Yu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou
2022	J	`jnl`	Learnware: Small Models Do Big. CoRR Zhi-Hua Zhou, Zhi-Hao Tan
2022	J	`jnl`	Margin Distribution Analysis. IEEE Trans. Neural Networks Learn. Syst. Jun Wang, Zhi-Hua Zhou
2022	—	`conf`	Multi-objective Evolutionary Ensemble Pruning Guided by Margin Distribution. PPSN (1) Yu-Chang Wu, Yi-Xiao He, Chao Qian, Zhi-Hua Zhou
2022	A*	`conf`	No-Regret Learning in Time-Varying Zero-Sum Games. ICML Mengxiao Zhang, Peng Zhao, Haipeng Luo, Zhi-Hua Zhou
2022	J	`jnl`	No-Regret Learning in Time-Varying Zero-Sum Games. CoRR Mengxiao Zhang, Peng Zhao, Haipeng Luo, Zhi-Hua Zhou
2022	A	`conf`	Non-stationary Online Learning with Memory and Non-stochastic Control. AISTATS Peng Zhao, Yu-Xiang Wang, Zhi-Hua Zhou
2022	J	`jnl`	Open Environment Machine Learning. CoRR Zhi-Hua Zhou
2022	A*	`conf`	Pre-Trained Model Reusability Evaluation for Small-Data Transfer Learning. NeurIPS Yao-Xiang Ding, Xi-Zhu Wu, Kun Zhou, Zhi-Hua Zhou
2022	J	`jnl`	Prediction With Unpredictable Feature Evolution. IEEE Trans. Neural Networks Learn. Syst. Bo-Jian Hou, Lijun Zhang, Zhi-Hua Zhou
2022	A	`ed.`	Proceedings of the 2022 SIAM International Conference on Data Mining, SDM 2022, Alexandria, VA, USA, April 28-30, 2022 SDM Arindam Banerjee, Zhi-Hua Zhou, Evangelos E. Papalexakis, Matteo Riondato
2022	A*	`conf`	Real-Valued Backpropagation is Unsuitable for Complex-Valued Neural Networks. NeurIPS Zhi-Hao Tan, Yi Xie, Yuan Jiang, Zhi-Hua Zhou
2022	J	`jnl`	Rehearsal: learning from prediction to decision. Frontiers Comput. Sci. Zhi-Hua Zhou
2022	J	`jnl`	Result diversification by multi-objective evolutionary algorithms with theoretical guarantees. Artif. Intell. Chao Qian, Dan-Xuan Liu, Zhi-Hua Zhou
2022	A*	`conf`	Sound and Complete Causal Identification with Latent Variables Given Local Background Knowledge. NeurIPS Tian-Zuo Wang, Tian Qin, Zhi-Hua Zhou
2022	A*	`conf`	Theoretically Provable Spiking Neural Networks. NeurIPS Shao-Qun Zhang, Zhi-Hua Zhou
2022	J	`jnl`	Towards convergence rate analysis of random forests for classification. Artif. Intell. Wei Gao, Fan Xu, Zhi-Hua Zhou
2022	J	`jnl`	Towards understanding theoretical advantages of complex-reaction networks. Neural Networks Shao-Qun Zhang, Wei Gao, Zhi-Hua Zhou
2021	J	`jnl`	ARISE: ApeRIodic SEmi-parametric Process for Efficient Markets without Periodogram and Gaussianity Assumptions. CoRR Shao-Qun Zhang, Zhi-Hua Zhou
2021	—	`ch.`	Abductive Learning. Neuro-Symbolic Artificial Intelligence Zhi-Hua Zhou, Yu-Xuan Huang
2021	A*	`conf`	Actively Identifying Causal Effects with Latent Variables Given Only Response Variable Observable. NeurIPS Tian-Zuo Wang, Zhi-Hua Zhou
2021	J	`jnl`	Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization. CoRR Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou
2021	J	`jnl`	Bandit Convex Optimization in Non-stationary Environments. J. Mach. Learn. Res. Peng Zhao, Guanghui Wang, Lijun Zhang, Zhi-Hua Zhou
2021	J	`jnl`	Bifurcation Spiking Neural Network. J. Mach. Learn. Res. Shao-Qun Zhang, Zhao-Yu Zhang, Zhi-Hua Zhou
2021	A*	`conf`	Budgeted Heterogeneous Treatment Effect Estimation. ICML Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou
2021	J	`jnl`	Distribution-Free One-Pass Learning. IEEE Trans. Knowl. Data Eng. Peng Zhao, Xinqiang Wang, Siyu Xie, Lei Guo, Zhi-Hua Zhou
2021	A*	`conf`	Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions. NeurIPS Lijun Zhang, Guanghui Wang, Wei-Wei Tu, Wei Jiang, Zhi-Hua Zhou
2021	A*	`conf`	Exploratory Machine Learning with Unknown Unknowns. AAAI Peng Zhao, Yu-Jie Zhang, Zhi-Hua Zhou
2021	J	`jnl`	Flexible Transmitter Network. Neural Comput. Shao-Qun Zhang, Zhi-Hua Zhou
2021	J	`jnl`	Heterogeneous Few-Shot Model Rectification With Semantic Mapping. IEEE Trans. Pattern Anal. Mach. Intell. Han-Jia Ye, De-Chuan Zhan, Yuan Jiang, Zhi-Hua Zhou
2021	A	`conf`	Imitation Learning from Pixel-Level Demonstrations by HashReward. AAMAS Xin-Qiang Cai, Yao-Xiang Ding, Yuan Jiang, Zhi-Hua Zhou
2021	A*	`conf`	LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values. ICDM Zhao-Yu Zhang, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou
2021	J	`jnl`	LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values. CoRR Zhao-Yu Zhang, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou
2021	J	`jnl`	Learning With Feature Evolvable Streams. IEEE Trans. Knowl. Data Eng. Bo-Jian Hou, Lijun Zhang, Zhi-Hua Zhou
2021	—	`book`	Machine Learning Zhi-Hua Zhou
2021	J	`jnl`	Multi-Instance Learning With Emerging Novel Class. IEEE Trans. Knowl. Data Eng. Xiu-Shen Wei, Han-Jia Ye, Xin Mu, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou
2021	J	`jnl`	Non-stationary Online Learning with Memory and Non-stochastic Control. CoRR Peng Zhao, Yu-Xiang Wang, Zhi-Hua Zhou
2021	J	`jnl`	On the noise estimation statistics. Artif. Intell. Wei Gao, Teng Zhang, Bin-Bin Yang, Zhi-Hua Zhou
2021	A*	`ed.`	Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual Event / Montreal, Canada, 19-27 August 2021. IJCAI Zhi-Hua Zhou
2021	A	`conf`	Reconstruction-based Anomaly Detection with Completely Random Forest. SDM Yi-Xuan Xu, Ming Pang, Ji Feng, Kai Ming Ting, Yuan Jiang, Zhi-Hua Zhou
2021	J	`jnl`	Result Diversification by Multi-objective Evolutionary Algorithms with Theoretical Guarantees. CoRR Chao Qian, Dan-Xuan Liu, Zhi-Hua Zhou
2021	J	`jnl`	Seeing Differently, Acting Similarly: Imitation Learning with Heterogeneous Observations. CoRR Xin-Qiang Cai, Yao-Xiang Ding, Zi-Xuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou
2021	A*	`conf`	Storage Fit Learning with Feature Evolvable Streams. AAAI Bo-Jian Hou, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou
2021	A*	`conf`	Tac-Valuer: Knowledge-based Stroke Evaluation in Table Tennis. KDD 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	A*	`conf`	Towards Enabling Learnware to Handle Unseen Jobs. AAAI Yu-Jie Zhang, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou
2021	J	`jnl`	Towards Safe Weakly Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. Yufeng Li, Lan-Zhe Guo, Zhi-Hua Zhou
2021	J	`jnl`	Towards Theoretical Understanding of Flexible Transmitter Networks via Approximation and Local Minima. CoRR Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou
2021	J	`jnl`	Towards Understanding Theoretical Advantages of Complex-Reaction Networks. CoRR Shao-Qun Zhang, Gao Wei, Zhi-Hua Zhou
2021	J	`jnl`	Towards an Understanding of Benign Overfitting in Neural Networks. CoRR Zhu Li, Zhi-Hua Zhou, Arthur Gretton
2021	J	`jnl`	Why over-parameterization of deep neural networks does not overfit? Sci. China Inf. Sci. Zhi-Hua Zhou
2020	A	`conf`	A Simple Approach for Non-stationary Linear Bandits. AISTATS Peng Zhao, Lijun Zhang, Yuan Jiang, Zhi-Hua Zhou
2020	A	`conf`	A Simple Online Algorithm for Competing with Dynamic Comparators. UAI Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou
2020	A*	`conf`	An Unbiased Risk Estimator for Learning with Augmented Classes. NeurIPS Yu-Jie Zhang, Peng Zhao, Lanjihong Ma, Zhi-Hua Zhou
2020	A	`conf`	Bandit Convex Optimization in Non-stationary Environments. AISTATS Peng Zhao, Guanghui Wang, Lijun Zhang, Zhi-Hua Zhou
2020	C	`conf`	Boosting-Based Reliable Model Reuse. ACML Yao-Xiang Ding, Zhi-Hua Zhou
2020	A	`conf`	Can Deep Learning Only Be Neural Networks? WSDM Zhi-Hua Zhou
2020	A*	`conf`	Control Flow Graph Embedding Based on Multi-Instance Decomposition for Bug Localization. AAAI Xuan Huo, Ming Li, Zhi-Hua Zhou
2020	A*	`conf`	Cost-effectively Identifying Causal Effects When Only Response Variable is Observable. ICML Tian-Zuo Wang, Xi-Zhu Wu, Sheng-Jun Huang, Zhi-Hua Zhou
2020	A*	`conf`	Differentially Private Learning with Small Public Data. AAAI Jun Wang, Zhi-Hua Zhou
2020	A*	`conf`	Dynamic Regret of Convex and Smooth Functions. NeurIPS Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou
2020	J	`jnl`	Dynamic Regret of Convex and Smooth Functions. CoRR Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou
2020	J	`jnl`	Exploratory Machine Learning with Unknown Unknowns. CoRR Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou
2020	J	`jnl`	Flexible Transmitter Network. CoRR Shao-Qun Zhang, Zhi-Hua Zhou
2020	J	`jnl`	Handling concept drift via model reuse. Mach. Learn. Peng Zhao, Le-Wen Cai, Zhi-Hua Zhou
2020	A	`conf`	Harmonic Recurrent Process for Time Series Forecasting. ECAI Shao-Qun Zhang, Zhi-Hua Zhou
2020	A*	`conf`	Isolation Distributional Kernel: A New Tool for Kernel based Anomaly Detection. KDD Kai Ming Ting, Bi-Cun Xu, Takashi Washio, Zhi-Hua Zhou
2020	J	`jnl`	Isolation Distributional Kernel: A New Tool for Point & Group Anomaly Detection. CoRR Kai Ming Ting, Bi-Cun Xu, Takashi Washio, Zhi-Hua Zhou
2020	J	`jnl`	Learning With Interpretable Structure From Gated RNN. IEEE Trans. Neural Networks Learn. Syst. Bo-Jian Hou, Zhi-Hua Zhou
2020	A*	`conf`	Learning with Feature and Distribution Evolvable Streams. ICML Zhenyu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou
2020	J	`jnl`	Model Reuse with Reduced Kernel Mean Embedding Specification. CoRR Xi-Zhu Wu, Wenkai Xu, Song Liu, Zhi-Hua Zhou
2020	A	`conf`	Multi-Label Learning with Deep Forest. ECAI Liang Yang, Xi-Zhu Wu, Yuan Jiang, Zhi-Hua Zhou
2020	J	`jnl`	Multi-label optimal margin distribution machine. Mach. Learn. Zhi-Hao Tan, Peng Tan, Yuan Jiang, Zhi-Hua Zhou
2020	J	`jnl`	Optimal Margin Distribution Machine. IEEE Trans. Knowl. Data Eng. Teng Zhang, Zhi-Hua Zhou
2020	J	`jnl`	Robust Multi-Label Learning with PRO Loss. IEEE Trans. Knowl. Data Eng. Miao Xu, Yufeng Li, Zhi-Hua Zhou
2020	A*	`conf`	Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data. ICML Lan-Zhe Guo, Zhenyu Zhang, Yuan Jiang, Yufeng Li, Zhi-Hua Zhou
2020	A*	`conf`	Semi-Supervised Abductive Learning and Its Application to Theft Judicial Sentencing. ICDM Yu-Xuan Huang, Wang-Zhou Dai, Jian Yang, Le-Wen Cai, Shaofen Cheng, Ruizhang Huang, Yufeng Li, Zhi-Hua Zhou
2020	J	`jnl`	Soft Gradient Boosting Machine. CoRR Ji Feng, Yi-Xuan Xu, Yuan Jiang, Zhi-Hua Zhou
2020	J	`jnl`	Storage Fit Learning with Feature Evolvable Streams. CoRR Bo-Jian Hou, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou
2020	A*	`conf`	Towards Convergence Rate Analysis of Random Forests for Classification. NeurIPS Wei Gao, Zhi-Hua Zhou
2019	A*	`conf`	A Refined Margin Distribution Analysis for Forest Representation Learning. NeurIPS Shen-Huan Lyu, Liang Yang, Zhi-Hua Zhou
2019	J	`jnl`	A simple homotopy proximal mapping algorithm for compressive sensing. Mach. Learn. Tianbao Yang, Lijun Zhang, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou
2019	J	`jnl`	Abductive learning: towards bridging machine learning and logical reasoning. Sci. China Inf. Sci. Zhi-Hua Zhou
2019	A*	`conf`	Adaptive Regret of Convex and Smooth Functions. ICML Lijun Zhang, Tie-Yan Liu, Zhi-Hua Zhou
2019	J	`jnl`	Adaptive Regret of Convex and Smooth Functions. CoRR Lijun Zhang, Tie-Yan Liu, Zhi-Hua Zhou
2019	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I PAKDD (1) Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang
2019	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part II PAKDD (2) Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang
2019	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part III PAKDD (3) Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang
2019	J	`jnl`	An Unbiased Risk Estimator for Learning with Augmented Classes. CoRR Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou
2019	J	`jnl`	Bandit Convex Optimization in Non-stationary Environments. CoRR Peng Zhao, Guanghui Wang, Lijun Zhang, Zhi-Hua Zhou
2019	J	`jnl`	Bifurcation Spiking Neural Network. CoRR Shao-Qun Zhang, Zhi-Hua Zhou
2019	A*	`conf`	Bridging Machine Learning and Logical Reasoning by Abductive Learning. NeurIPS Wang-Zhou Dai, Qiu-Ling Xu, Yang Yu, Zhi-Hua Zhou
2019	J	`jnl`	Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud. ACM Trans. Intell. Syst. Technol. Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Yuan (Alan) Qi, Zhi-Hua Zhou
2019	J	`jnl`	Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions. CoRR Lijun Zhang, Guanghui Wang, Weiwei Tu, Zhi-Hua Zhou
2019	J	`jnl`	Efficient Training for Positive Unlabeled Learning. IEEE Trans. Pattern Anal. Mach. Intell. Emanuele Sansone, Francesco G. B. De Natale, Zhi-Hua Zhou
2019	J	`jnl`	Evaluating the Robustness of Nearest Neighbor Classifiers: A Primal-Dual Perspective. CoRR Lu Wang, Xuanqing Liu, Jinfeng Yi, Zhi-Hua Zhou, Cho-Jui Hsieh
2019	—	`book`	Evolutionary Learning: Advances in Theories and Algorithms Zhi-Hua Zhou, Yang Yu, Chao Qian
2019	J	`jnl`	Expert-Level Atari Imitation Learning from Demonstrations Only. CoRR Xin-Qiang Cai, Yao-Xiang Ding, Yuan Jiang, Zhi-Hua Zhou
2019	J	`jnl`	Fast Multi-Instance Multi-Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. Sheng-Jun Huang, Wei Gao, Zhi-Hua Zhou
2019	J	`jnl`	Forest Representation Learning Guided by Margin Distribution. CoRR Shen-Huan Lv, Liang Yang, Zhi-Hua Zhou
2019	A*	`conf`	Heterogeneous Model Reuse via Optimizing Multiparty Multiclass Margin. ICML Xi-Zhu Wu, Song Liu, Zhi-Hua Zhou
2019	A*	`conf`	Isolation Set-Kernel and Its Application to Multi-Instance Learning. KDD Bi-Cun Xu, Kai Ming Ting, Zhi-Hua Zhou
2019	J	`jnl`	Joint Semantic Domain Alignment and Target Classifier Learning for Unsupervised Domain Adaptation. CoRR Dongdong Chen, Yisen Wang, Jinfeng Yi, Zaiyi Chen, Zhi-Hua Zhou
2019	J	`jnl`	Launch of the Excellent Young Computer Scientists Forum. Frontiers Comput. Sci. Zhi-Hua Zhou
2019	A*	`conf`	Learning from Incomplete and Inaccurate Supervision. KDD Zhenyu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou
2019	A*	`conf`	Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder. NeurIPS Ji Feng, Qi-Zhi Cai, Zhi-Hua Zhou
2019	J	`jnl`	Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder. CoRR Ji Feng, Qi-Zhi Cai, Zhi-Hua Zhou
2019	J	`jnl`	Learning to Generate Posters of Scientific Papers by Probabilistic Graphical Models. J. Comput. Sci. Technol. Yuting Qiang, Yanwei Fu, Xiao Yu, Yanwen Guo, Zhi-Hua Zhou, Leonid Sigal
2019	J	`jnl`	Lowest probability mass neighbour algorithms: relaxing the metric constraint in distance-based neighbourhood algorithms. Mach. Learn. Kai Ming Ting, Ye Zhu, Mark J. Carman, Yue Zhu, Takashi Washio, Zhi-Hua Zhou
2019	J	`jnl`	Maximizing submodular or monotone approximately submodular functions by multi-objective evolutionary algorithms. Artif. Intell. Chao Qian, Yang Yu, Ke Tang, Xin Yao, Zhi-Hua Zhou
2019	J	`jnl`	Multi-Label Learning from Crowds. IEEE Trans. Knowl. Data Eng. Shao-Yuan Li, Yuan Jiang, Nitesh V. Chawla, Zhi-Hua Zhou
2019	J	`jnl`	Multi-Label Learning with Deep Forest. CoRR Liang Yang, Xi-Zhu Wu, Yuan Jiang, Zhi-Hua Zhou
2019	J	`jnl`	On repeated stackelberg security game with the cooperative human behavior model for wildlife protection. Appl. Intell. Binru Wang, Yuan Zhang, Zhi-Hua Zhou, Sheng Zhong
2019	A*	`conf`	Partial Label Learning with Unlabeled Data. IJCAI Qian-Wei Wang, Yufeng Li, Zhi-Hua Zhou
2019	J	`jnl`	Prediction with Unpredictable Feature Evolution. CoRR Bo-Jian Hou, Lijun Zhang, Zhi-Hua Zhou
2019	A*	`conf`	Reinforcement Learning Experience Reuse with Policy Residual Representation. IJCAI Wen-Ji Zhou, Yang Yu, Yingfeng Chen, Kai Guan, Tangjie Lv, Changjie Fan, Zhi-Hua Zhou
2019	J	`jnl`	Reinforcement Learning Experience Reuse with Policy Residual Representation. CoRR Wen-Ji Zhou, Yang Yu, Yingfeng Chen, Kai Guan, Tangjie Lv, Changjie Fan, Zhi-Hua Zhou
2019	J	`jnl`	Relative Error Bound Analysis for Nuclear Norm Regularized Matrix Completion. J. Mach. Learn. Res. Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou
2019	J	`jnl`	Reliable Weakly Supervised Learning: Maximize Gain and Maintain Safeness. CoRR Lan-Zhe Guo, Yufeng Li, Ming Li, Jinfeng Yi, Bowen Zhou, Zhi-Hua Zhou
2019	A*	`conf`	Stochastic Approximation of Smooth and Strongly Convex Functions: Beyond the $O(1/T)$ Convergence Rate. COLT Lijun Zhang, Zhi-Hua Zhou
2019	J	`jnl`	Stochastic Approximation of Smooth and Strongly Convex Functions: Beyond the O(1/T) Convergence Rate. CoRR Lijun Zhang, Zhi-Hua Zhou
2019	A	`conf`	Towards Identifying Causal Relation Between Instances and Labels. SDM Tian-Zuo Wang, Sheng-Jun Huang, Zhi-Hua Zhou
2019	—	`conf`	Towards One Reusable Model for Various Software Defect Mining Tasks. PAKDD (3) Heng-Yi Li, Ming Li, Zhi-Hua Zhou
2019	J	`jnl`	Unsupervised object discovery and co-localization by deep descriptor transformation. Pattern Recognit. Xiu-Shen Wei, Chen-Lin Zhang, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou
2019	J	`jnl`	What Makes Objects Similar: A Unified Multi-Metric Learning Approach. IEEE Trans. Pattern Anal. Mach. Intell. Han-Jia Ye, De-Chuan Zhan, Yuan Jiang, Zhi-Hua Zhou
2018	A*	`conf`	Adaptive Online Learning in Dynamic Environments. NeurIPS Lijun Zhang, Shiyin Lu, Zhi-Hua Zhou
2018	J	`jnl`	Adaptive Online Learning in Dynamic Environments. CoRR Lijun Zhang, Shiyin Lu, Zhi-Hua Zhou
2018	J	`jnl`	Analyzing Evolutionary Optimization in Noisy Environments. Evol. Comput. Chao Qian, Yang Yu, Zhi-Hua Zhou
2018	—	`conf`	Anomaly Detection with Partially Observed Anomalies. WWW (Companion Volume) Ya-Lin Zhang, Longfei Li, Jun Zhou, Xiaolong Li, Zhi-Hua Zhou
2018	A*	`conf`	AutoEncoder by Forest. AAAI Ji Feng, Zhi-Hua Zhou
2018	—	`ch.`	Boosting. Encyclopedia of Database Systems (2nd ed.) Zhi-Hua Zhou
2018	J	`jnl`	Constrained Monotone k-Submodular Function Maximization Using Multiobjective Evolutionary Algorithms With Theoretical Guarantee. IEEE Trans. Evol. Comput. Chao Qian, Jing-Cheng Shi, Ke Tang, Zhi-Hua Zhou
2018	J	`jnl`	Crowdsourcing with unsure option. Mach. Learn. Yao-Xiang Ding, Zhi-Hua Zhou
2018	J	`jnl`	Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud. CoRR Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Zhi-Hua Zhou
2018	A*	`conf`	Dual Set Multi-Label Learning. AAAI Chong Liu, Peng Zhao, Sheng-Jun Huang, Yuan Jiang, Zhi-Hua Zhou
2018	A*	`conf`	Dynamic Regret of Strongly Adaptive Methods. ICML Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou
2018	—	`ch.`	Ensemble. Encyclopedia of Database Systems (2nd ed.) Zhi-Hua Zhou
2018	A*	`conf`	Experienced Optimization with Reusable Directional Model for Hyper-Parameter Search. IJCAI Yi-Qi Hu, Yang Yu, Zhi-Hua Zhou
2018	J	`jnl`	Handling Concept Drift via Model Reuse. CoRR Peng Zhao, Le-Wen Cai, Zhi-Hua Zhou
2018	A*	`conf`	Improving Deep Forest by Confidence Screening. ICDM Ming Pang, Kai-Ming Ting, Peng Zhao, Zhi-Hua Zhou
2018	A*	`conf`	Isolation Kernel and Its Effect on SVM. KDD Kai Ming Ting, Yue Zhu, Zhi-Hua Zhou
2018	A*	`conf`	Label Distribution Learning by Optimal Transport. AAAI Peng Zhao, Zhi-Hua Zhou
2018	A*	`conf`	Learning Environmental Calibration Actions for Policy Self-Evolution. IJCAI Chao Zhang, Yang Yu, Zhi-Hua Zhou
2018	A*	`conf`	Learning From Semi-Supervised Weak-Label Data. AAAI Hao-Chen Dong, Yufeng Li, Zhi-Hua Zhou
2018	J	`jnl`	Learning with Interpretable Structure from RNN. CoRR Bo-Jian Hou, Zhi-Hua Zhou
2018	J	`jnl`	Matrix Co-completion for Multi-label Classification with Missing Features and Labels. CoRR Miao Xu, Gang Niu, Bo Han, Ivor W. Tsang, Zhi-Hua Zhou, Masashi Sugiyama
2018	J	`jnl`	Meta-Interpretive Learning from noisy images. Mach. Learn. Stephen H. Muggleton, Wang-Zhou Dai, Claude Sammut, Alireza Tamaddoni-Nezhad, Jing Wen, Zhi-Hua Zhou
2018	J	`jnl`	Multi-Label Learning with Emerging New Labels. IEEE Trans. Knowl. Data Eng. Yue Zhu, Kai Ming Ting, Zhi-Hua Zhou
2018	J	`jnl`	Multi-Label Learning with Global and Local Label Correlation. IEEE Trans. Knowl. Data Eng. Yue Zhu, James T. Kwok, Zhi-Hua Zhou
2018	A*	`conf`	Multi-Layered Gradient Boosting Decision Trees. NeurIPS Ji Feng, Yang Yu, Zhi-Hua Zhou
2018	J	`jnl`	Multi-Layered Gradient Boosting Decision Trees. CoRR Ji Feng, Yang Yu, Zhi-Hua Zhou
2018	J	`jnl`	On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments. Evol. Comput. Chao Qian, Yang Yu, Ke Tang, Yaochu Jin, Xin Yao, Zhi-Hua Zhou
2018	J	`jnl`	One-Pass Learning with Incremental and Decremental Features. IEEE Trans. Pattern Anal. Mach. Intell. Chenping Hou, Zhi-Hua Zhou
2018	A*	`conf`	Optimal Margin Distribution Clustering. AAAI Teng Zhang, Zhi-Hua Zhou
2018	J	`jnl`	Optimal Margin Distribution Network. CoRR Shen-Huan Lv, Lu Wang, Zhi-Hua Zhou
2018	A*	`conf`	Preference Based Adaptation for Learning Objectives. NeurIPS Yao-Xiang Ding, Zhi-Hua Zhou
2018	A*	`conf`	Rectify Heterogeneous Models with Semantic Mapping. ICML Han-Jia Ye, De-Chuan Zhan, Yuan Jiang, Zhi-Hua Zhou
2018	J	`jnl`	Reusable Reinforcement Learning via Shallow Trails. IEEE Trans. Neural Networks Learn. Syst. Yang Yu, Shi-Yong Chen, Qing Da, Zhi-Hua Zhou
2018	A*	`conf`	Semi-Supervised Optimal Margin Distribution Machines. IJCAI Teng Zhang, Zhi-Hua Zhou
2018	—	`conf`	Social Stream Classification with Emerging New Labels. PAKDD (1) Xin Mu, Feida Zhu, Yue Liu, Ee-Peng Lim, Zhi-Hua Zhou
2018	J	`jnl`	Structural diversity for decision tree ensemble learning. Frontiers Comput. Sci. Tao Sun, Zhi-Hua Zhou
2018	A*	`conf`	Tri-net for Semi-Supervised Deep Learning. IJCAI Dongdong Chen, Wei Wang, Wei Gao, Zhi-Hua Zhou
2018	J	`jnl`	Tunneling Neural Perception and Logic Reasoning through Abductive Learning. CoRR Wang-Zhou Dai, Qiu-Ling Xu, Yang Yu, Zhi-Hua Zhou
2018	A*	`conf`	Unorganized Malicious Attacks Detection. NeurIPS Ming Pang, Wei Gao, Min Tao, Zhi-Hua Zhou
2018	A*	`conf`	\ell_1-regression with Heavy-tailed Distributions. NeurIPS Lijun Zhang, Zhi-Hua Zhou
2018	J	`jnl`	𝓁 CoRR Lijun Zhang, Zhi-Hua Zhou
2017	J	`jnl`	2D Feature Selection by Sparse Matrix Regression. IEEE Trans. Image Process. Chenping Hou, Yuanyuan Jiao, Feiping Nie, Tingjin Luo, Zhi-Hua Zhou
2017	A*	`conf`	A Unified View of Multi-Label Performance Measures. ICML Xi-Zhu Wu, Zhi-Hua Zhou
2017	J	`jnl`	AutoEncoder by Forest. CoRR Ji Feng, Zhi-Hua Zhou
2017	A	`conf`	BayDNN: Friend Recommendation with Bayesian Personalized Ranking Deep Neural Network. CIKM Daizong Ding, Mi Zhang, Shao-Yuan Li, Jie Tang, Xiaotie Chen, Zhi-Hua Zhou
2017	J	`jnl`	Classification Under Streaming Emerging New Classes: A Solution Using Completely-Random Trees. IEEE Trans. Knowl. Data Eng. Xin Mu, Kai Ming Ting, Zhi-Hua Zhou
2017	A*	`conf`	Combining Logical Abduction and Statistical Induction: Discovering Written Primitives with Human Knowledge. AAAI Wang-Zhou Dai, Zhi-Hua Zhou
2017	A*	`conf`	Cost-Effective Active Learning from Diverse Labelers. IJCAI Sheng-Jun Huang, Jia-Lve Chen, Xin Mu, Zhi-Hua Zhou
2017	J	`jnl`	Crowd intelligence in AI 2.0 era. Frontiers Inf. Technol. Electron. Eng. Wei Li, Wenjun Wu, Huaimin Wang, Xueqi Cheng, Huajun Chen, Zhi-Hua Zhou, Rong Ding
2017	A*	`conf`	Deep Descriptor Transforming for Image Co-Localization. IJCAI Xiu-Shen Wei, Chen-Lin Zhang, Yao Li, Chen-Wei Xie, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou
2017	J	`jnl`	Deep Descriptor Transforming for Image Co-Localization. CoRR Xiu-Shen Wei, Chen-Lin Zhang, Yao Li, Chen-Wei Xie, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou
2017	A*	`conf`	Deep Forest: Towards An Alternative to Deep Neural Networks. IJCAI Zhi-Hua Zhou, Ji Feng
2017	J	`jnl`	Deep Forest: Towards An Alternative to Deep Neural Networks. CoRR Zhi-Hua Zhou, Ji Feng
2017	A*	`conf`	Deep Learning for Fixed Model Reuse. AAAI Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang, Zhi-Hua Zhou
2017	A*	`conf`	Deep MIML Network. AAAI Ji Feng, Zhi-Hua Zhou
2017	A*	`conf`	Discover Multiple Novel Labels in Multi-Instance Multi-Label Learning. AAAI Yue Zhu, Kai Ming Ting, Zhi-Hua Zhou
2017	J	`jnl`	Distribution-Free One-Pass Learning. CoRR Peng Zhao, Zhi-Hua Zhou
2017	J	`jnl`	Editorial of the Special Issue on Multi-instance Learning in Pattern Recognition and Vision. Pattern Recognit. Jianxin Wu, Xiang Bai, Marco Loog, Fabio Roli, Zhi-Hua Zhou
2017	J	`jnl`	Effects of the optimisation of the margin distribution on generalisation in deep architectures. CoRR Lech Szymanski, Brendan McCane, Wei Gao, Zhi-Hua Zhou
2017	J	`jnl`	Foreword: special issue for the journal track of the 8th Asian conference on machine learning (ACML 2016). Mach. Learn. Robert J. Durrant, Kee-Eung Kim, Geoffrey Holmes, Stephen Marsland, Masashi Sugiyama, Zhi-Hua Zhou
2017	—	`conf`	Improved Dynamic Regret for Non-degenerate Functions. NIPS Lijun Zhang, Tianbao Yang, Jinfeng Yi, Rong Jin, Zhi-Hua Zhou
2017	A*	`conf`	Incomplete Label Distribution Learning. IJCAI Miao Xu, Zhi-Hua Zhou
2017	J	`jnl`	Introduction: special issue of selected papers from ACML 2015. Mach. Learn. Geoffrey Holmes, Tie-Yan Liu, Hang Li, Irwin King, Masashi Sugiyama, Zhi-Hua Zhou
2017	A*	`conf`	Learning Safe Prediction for Semi-Supervised Regression. AAAI Yufeng Li, Han-Wen Zha, Zhi-Hua Zhou
2017	J	`jnl`	Learning to Generate Posters of Scientific Papers by Probabilistic Graphical Models. CoRR Yuting Qiang, Yanwei Fu, Xiao Yu, Yanwen Guo, Zhi-Hua Zhou, Leonid Sigal
2017	—	`conf`	Learning with Feature Evolvable Streams. NIPS Bo-Jian Hou, Lijun Zhang, Zhi-Hua Zhou
2017	J	`jnl`	Learning with Feature Evolvable Streams. CoRR Bo-Jian Hou, Lijun Zhang, Zhi-Hua Zhou
2017	B	`conf`	Logical Vision: One-Shot Meta-Interpretive Learning from Real Images. ILP Wang-Zhou Dai, Stephen H. Muggleton, Jing Wen, Alireza Tamaddoni-Nezhad, Zhi-Hua Zhou
2017	J	`jnl`	Maximizing Non-monotone/Non-submodular Functions by Multi-objective Evolutionary Algorithms. CoRR Chao Qian, Yang Yu, Ke Tang, Xin Yao, Zhi-Hua Zhou
2017	J	`jnl`	Mining heterogeneous causal effects for personalized cancer treatment. Bioinform. Weijia Zhang, Thuc Duy Le, Lin Liu, Zhi-Hua Zhou, Jiuyong Li
2017	A*	`conf`	Multi-Class Optimal Margin Distribution Machine. ICML Teng Zhang, Zhi-Hua Zhou
2017	A*	`conf`	Multi-Instance Learning with Key Instance Shift. IJCAI Ya-Lin Zhang, Zhi-Hua Zhou
2017	J	`jnl`	Multi-Label Learning with Global and Local Label Correlation. CoRR Yue Zhu, James T. Kwok, Zhi-Hua Zhou
2017	—	`conf`	Multi-View Matrix Completion for Clustering with Side Information. PAKDD (2) Peng Zhao, Yuan Jiang, Zhi-Hua Zhou
2017	—	`ch.`	Multi-label Learning. Encyclopedia of Machine Learning and Data Mining Zhi-Hua Zhou, Min-Ling Zhang
2017	A*	`conf`	New Class Adaptation Via Instance Generation in One-Pass Class Incremental Learning. ICDM Yue Zhu, Kai Ming Ting, Zhi-Hua Zhou
2017	A*	`conf`	Obtaining High-Quality Label by Distinguishing between Easy and Hard Items in Crowdsourcing. IJCAI Wei Wang, Xiang-Yu Guo, Shao-Yuan Li, Yuan Jiang, Zhi-Hua Zhou
2017	A*	`conf`	Optimizing Ratio of Monotone Set Functions. IJCAI Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou
2017	A*	`conf`	POSTER: A PU Learning based System for Potential Malicious URL Detection. CCS Ya-Lin Zhang, Longfei Li, Jun Zhou, Xiaolong Li, Yujiang Liu, Yuanchao Zhang, Zhi-Hua Zhou
2017	J	`jnl`	Scalable Algorithms for Multi-Instance Learning. IEEE Trans. Neural Networks Learn. Syst. Xiu-Shen Wei, Jianxin Wu, Zhi-Hua Zhou
2017	J	`jnl`	Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval. IEEE Trans. Image Process. Xiu-Shen Wei, Jian-Hao Luo, Jianxin Wu, Zhi-Hua Zhou
2017	A*	`conf`	Storage Fit Learning with Unlabeled Data. IJCAI Bo-Jian Hou, Lijun Zhang, Zhi-Hua Zhou
2017	A*	`conf`	Streaming Classification with Emerging New Class by Class Matrix Sketching. AAAI Xin Mu, Feida Zhu, Juan Du, Ee-Peng Lim, Zhi-Hua Zhou
2017	J	`jnl`	Strongly Adaptive Regret Implies Optimally Dynamic Regret. CoRR Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou
2017	—	`conf`	Subset Selection under Noise. NIPS Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou
2017	J	`jnl`	Theoretical Foundation of Co-Training and Disagreement-Based Algorithms. CoRR Wei Wang, Zhi-Hua Zhou
2017	J	`jnl`	Unsupervised Object Discovery and Co-Localization by Deep Descriptor Transforming. CoRR Xiu-Shen Wei, Chen-Lin Zhang, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou
2016	C	`conf`	A Lower Bound Analysis of Population-Based Evolutionary Algorithms for Pseudo-Boolean Functions. IDEAL Chao Qian, Yang Yu, Zhi-Hua Zhou
2016	J	`jnl`	A Lower Bound Analysis of Population-based Evolutionary Algorithms for Pseudo-Boolean Functions. CoRR Chao Qian, Yang Yu, Zhi-Hua Zhou
2016	J	`jnl`	A Unified View of Multi-Label Performance Measures. CoRR Xi-Zhu Wu, Zhi-Hua Zhou
2016	J	`jnl`	An empirical study on image bag generators for multi-instance learning. Mach. Learn. Xiu-Shen Wei, Zhi-Hua Zhou
2016	J	`jnl`	Classification under Streaming Emerging New Classes: A Solution using Completely Random Trees. CoRR Xin Mu, Kai Ming Ting, Zhi-Hua Zhou
2016	A*	`conf`	Column Sampling Based Discrete Supervised Hashing. AAAI Wang-Cheng Kang, Wu-Jun Li, Zhi-Hua Zhou
2016	A*	`conf`	Cost-Saving Effect of Crowdsourcing Learning. IJCAI Lu Wang, Zhi-Hua Zhou
2016	J	`jnl`	Crowdsourcing with Unsure Option. CoRR Yao-Xiang Ding, Zhi-Hua Zhou
2016	J	`jnl`	Dropout Rademacher complexity of deep neural networks. Sci. China Inf. Sci. Wei Gao, Zhi-Hua Zhou
2016	B	`conf`	Facial Age Estimation by Total Ordering Preserving Projection. PRICAI Xiao-Dong Wang, Zhi-Hua Zhou
2016	A*	`conf`	Graph Quality Judgement: A Large Margin Expedition. IJCAI Yufeng Li, Shao-Bo Wang, Zhi-Hua Zhou
2016	A*	`ed.`	IEEE 16th International Conference on Data Mining, ICDM 2016, December 12-15, 2016, Barcelona, Spain ICDM Francesco Bonchi, Josep Domingo-Ferrer, Ricardo Baeza-Yates, Zhi-Hua Zhou, Xindong Wu
2016	—	`ed.`	IEEE International Conference on Data Mining Workshops, ICDM Workshops 2016, December 12-15, 2016, Barcelona, Spain. ICDM Workshops Carlotta Domeniconi, Francesco Gullo, Francesco Bonchi, Josep Domingo-Ferrer, Ricardo Baeza-Yates, Zhi-Hua Zhou, Xindong Wu
2016	J	`jnl`	Improved dynamic regret for non-degeneracy functions. CoRR Lijun Zhang, Tianbao Yang, Jinfeng Yi, Rong Jin, Zhi-Hua Zhou
2016	J	`jnl`	Introduction: special issue of selected papers from ACML 2014. Mach. Learn. Hang Li, Dinh Q. Phung, Tru H. Cao, Tu Bao Ho, Zhi-Hua Zhou
2016	J	`jnl`	Large Margin Distribution Learning with Cost Interval and Unlabeled Data. IEEE Trans. Knowl. Data Eng. Yu-Hang Zhou, Zhi-Hua Zhou
2016	J	`jnl`	Launch of the NSFC Excellent Young Scholars Forum. Frontiers Comput. Sci. Zhi-Hua Zhou
2016	C	`conf`	Learnability of Non-I.I.D. ACML Wei Gao, Xin-Yi Niu, Zhi-Hua Zhou
2016	A*	`conf`	Learning Expected Hitting Time Distance. AAAI De-Chuan Zhan, Peng Hu, Zui Chu, Zhi-Hua Zhou
2016	A*	`conf`	Learning Unified Features from Natural and Programming Languages for Locating Buggy Source Code. IJCAI Xuan Huo, Ming Li, Zhi-Hua Zhou
2016	A*	`conf`	Learning to Generate Posters of Scientific Papers. AAAI Yuting Qiang, Yanwei Fu, Yanwen Guo, Zhi-Hua Zhou, Leonid Sigal
2016	J	`jnl`	Learning to Generate Posters of Scientific Papers. CoRR Yuting Qiang, Yanwei Fu, Yanwen Guo, Zhi-Hua Zhou, Leonid Sigal
2016	J	`jnl`	Learnware: on the future of machine learning. Frontiers Comput. Sci. Zhi-Hua Zhou
2016	J	`jnl`	Minimal Gated Unit for Recurrent Neural Networks. CoRR Guo-Bing Zhou, Jianxin Wu, Chen-Lin Zhang, Zhi-Hua Zhou
2016	J	`jnl`	Minimal gated unit for recurrent neural networks. Int. J. Autom. Comput. Guo-Bing Zhou, Jianxin Wu, Chen-Lin Zhang, Zhi-Hua Zhou
2016	J	`jnl`	Modeling of Geographic Dependencies for Real Estate Ranking. ACM Trans. Knowl. Discov. Data Yanjie Fu, Hui Xiong, Yong Ge, Yu Zheng, Zijun Yao, Zhi-Hua Zhou
2016	A*	`conf`	Multi-label Learning with Emerging New Labels. ICDM Yue Zhu, Kai Ming Ting, Zhi-Hua Zhou
2016	J	`jnl`	On the Consistency of Exact and Approximate Nearest Neighbor with Noisy Data. CoRR Wei Gao, Xin-Yi Niu, Zhi-Hua Zhou
2016	J	`jnl`	One-Pass Learning with Incremental and Decremental Features. CoRR Chenping Hou, Zhi-Hua Zhou
2016	J	`jnl`	One-pass AUC optimization. Artif. Intell. Wei Gao, Lu Wang, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou
2016	A*	`conf`	Online Stochastic Linear Optimization under One-bit Feedback. ICML Lijun Zhang, Tianbao Yang, Rong Jin, Yichi Xiao, Zhi-Hua Zhou
2016	J	`jnl`	Optimal Margin Distribution Machine. CoRR Teng Zhang, Zhi-Hua Zhou
2016	A*	`conf`	Overcoming Key Weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure. KDD Kai Ming Ting, Ye Zhu, Mark James Carman, Yue Zhu, Zhi-Hua Zhou
2016	A*	`conf`	Parallel Pareto Optimization for Subset Selection. IJCAI Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou
2016	A*	`conf`	Risk Minimization in the Presence of Label Noise. AAAI Wei Gao, Lu Wang, Yufeng Li, Zhi-Hua Zhou
2016	A	`conf`	Selection Hyper-heuristics Can Provably Be Helpful in Evolutionary Multi-objective Optimization. PPSN Chao Qian, Ke Tang, Zhi-Hua Zhou
2016	J	`jnl`	Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval. CoRR Xiu-Shen Wei, Jian-Hao Luo, Jianxin Wu, Zhi-Hua Zhou
2016	B	`conf`	Sparse Learning for Large-Scale and High-Dimensional Data: A Randomized Convex-Concave Optimization Approach. ALT Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou
2016	A*	`conf`	Stochastic Optimization for Kernel PCA. AAAI Lijun Zhang, Tianbao Yang, Jinfeng Yi, Rong Jin, Zhi-Hua Zhou
2016	A*	`conf`	Towards Safe Semi-Supervised Learning for Multivariate Performance Measures. AAAI Yufeng Li, James T. Kwok, Zhi-Hua Zhou
2016	A*	`conf`	Transductive Optimization of Top k Precision. IJCAI Li-Ping Liu, Thomas G. Dietterich, Nan Li, Zhi-Hua Zhou
2016	J	`jnl`	Unorganized Malicious Attacks Detection. CoRR Ming Pang, Wei Gao, Min Tao, Zhi-Hua Zhou
2016	A*	`conf`	User Identity Linkage by Latent User Space Modelling. KDD Xin Mu, Feida Zhu, Ee-Peng Lim, Jing Xiao, Jianzong Wang, Zhi-Hua Zhou
2016	—	`conf`	What Makes Objects Similar: A Unified Multi-Metric Learning Approach. NIPS Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang, Zhi-Hua Zhou
2015	A*	`ed.`	2015 IEEE International Conference on Data Mining, ICDM 2015, Atlantic City, NJ, USA, November 14-17, 2015 ICDM Charu C. Aggarwal, Zhi-Hua Zhou, Alexander Tuzhilin, Hui Xiong, Xindong Wu
2015	A	`conf`	A Simple Homotopy Algorithm for Compressive Sensing. AISTATS Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou
2015	A*	`conf`	Active Learning from Crowds with Unsure Option. IJCAI Jinhong Zhong, Ke Tang, Zhi-Hua Zhou
2015	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part I PAKDD (1) Tru H. Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu Bao Ho, David Wai-Lok Cheung, Hiroshi Motoda
2015	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part II PAKDD (2) Tru H. Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu Bao Ho, David Wai-Lok Cheung, Hiroshi Motoda
2015	J	`jnl`	Analysis of Nuclear Norm Regularization for Full-rank Matrix Completion. CoRR Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou
2015	A*	`conf`	CUR Algorithm for Partially Observed Matrices. ICML Miao Xu, Rong Jin, Zhi-Hua Zhou
2015	J	`jnl`	Crowdsourcing label quality: a theoretical analysis. Sci. China Inf. Sci. Wei Wang, Zhi-Hua Zhou
2015	—	`ch.`	Ensemble Learning. Encyclopedia of Biometrics Zhi-Hua Zhou
2015	—	`ed.`	Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques - 5th International Conference, IScIDE 2015, Suzhou, China, June 14-16, 2015, Revised Selected Papers, Part II IScIDE (2) Xiaofei He, Xinbo Gao, Yanning Zhang, Zhi-Hua Zhou, Zhiyong Liu, Baochuan Fu, Fuyuan Hu, Zhancheng Zhang
2015	—	`ed.`	Intelligence Science and Big Data Engineering. Image and Video Data Engineering - 5th International Conference, IScIDE 2015, Suzhou, China, June 14-16, 2015, Revised Selected Papers, Part I IScIDE (1) Xiaofei He, Xinbo Gao, Yanning Zhang, Zhi-Hua Zhou, Zhiyong Liu, Baochuan Fu, Fuyuan Hu, Zhancheng Zhang
2015	—	`conf`	Logical Vision: Meta-Interpretive Learning for Simple Geometrical Concepts. ILP (Late Breaking Papers) Wang-Zhou Dai, Stephen H. Muggleton, Zhi-Hua Zhou
2015	—	`ch.`	Machine Learning. Handbook of Computational Intelligence James Tin-Yau Kwok, Zhi-Hua Zhou, Lei Xu
2015	J	`jnl`	Multi-Label Active Learning from Crowds. CoRR Shao-Yuan Li, Yuan Jiang, Zhi-Hua Zhou
2015	A*	`conf`	Multi-Label Active Learning: Query Type Matters. IJCAI Sheng-Jun Huang, Songcan Chen, Zhi-Hua Zhou
2015	—	`conf`	Multi-label Selective Ensemble. MCS Nan Li, Yuan Jiang, Zhi-Hua Zhou
2015	A*	`conf`	On Constrained Boolean Pareto Optimization. IJCAI Chao Qian, Yang Yu, Zhi-Hua Zhou
2015	A*	`conf`	On the Consistency of AUC Pairwise Optimization. IJCAI Wei Gao, Zhi-Hua Zhou
2015	C	`conf`	One-Pass Multi-View Learning. ACML Yue Zhu, Wei Gao, Zhi-Hua Zhou
2015	A*	`conf`	Online Bandit Learning for a Special Class of Non-Convex Losses. AAAI Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou
2015	J	`jnl`	Online Stochastic Linear Optimization under One-bit Feedback. CoRR Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou
2015	J	`jnl`	Pairwised Specific Distance Learning from Physical Linkages. ACM Trans. Knowl. Discov. Data Ju-Hua Hu, De-Chuan Zhan, Xintao Wu, Yuan Jiang, Zhi-Hua Zhou
2015	A*	`conf`	Pareto Ensemble Pruning. AAAI Chao Qian, Yang Yu, Zhi-Hua Zhou
2015	J	`jnl`	Partially Shared Latent Factor Learning With Multiview Data. IEEE Trans. Neural Networks Learn. Syst. Jing Liu, Yu Jiang, Zechao Li, Zhi-Hua Zhou, Hanqing Lu
2015	A	`conf`	Rank Consistency based Multi-View Learning: A Privacy-Preserving Approach. CIKM Han-Jia Ye, De-Chuan Zhan, Yuan Miao, Yuan Jiang, Zhi-Hua Zhou
2015	J	`jnl`	Robust Design Space Modeling. ACM Trans. Design Autom. Electr. Syst. Qi Guo, Tianshi Chen, Zhi-Hua Zhou, Olivier Temam, Ling Li, Depei Qian, Yunji Chen
2015	J	`jnl`	Scalable Stochastic Alternating Direction Method of Multipliers. CoRR Shen-Yi Zhao, Wu-Jun Li, Zhi-Hua Zhou
2015	J	`jnl`	Sparse Learning for Large-scale and High-dimensional Data: A Randomized Convex-concave Optimization Approach. CoRR Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou
2015	C	`conf`	Statistical Unfolded Logic Learning. ACML Wang-Zhou Dai, Zhi-Hua Zhou
2015	J	`jnl`	Stochastic Proximal Gradient Descent for Nuclear Norm Regularization. CoRR Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou
2015	A*	`conf`	Structured Sparsity with Group-Graph Regularization. AAAI Xin-Yu Dai, Jianbing Zhang, Shujian Huang, Jiajun Chen, Zhi-Hua Zhou
2015	—	`conf`	Subset Selection by Pareto Optimization. NIPS Chao Qian, Yang Yu, Zhi-Hua Zhou
2015	J	`jnl`	Switch Analysis for Running Time Analysis of Evolutionary Algorithms. IEEE Trans. Evol. Comput. Yang Yu, Chao Qian, Zhi-Hua Zhou
2015	J	`jnl`	Towards Making Unlabeled Data Never Hurt. IEEE Trans. Pattern Anal. Mach. Intell. Yufeng Li, Zhi-Hua Zhou
2015	J	`jnl`	Transductive Optimization of Top k Precision. CoRR Li-Ping Liu, Thomas G. Dietterich, Nan Li, Zhi-Hua Zhou
2015	—	`ed.`	Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2015 Workshops: BigPMA, VLSP, QIMIE, DAEBH, Ho Chi Minh City, Vietnam, May 19-21, 2015. Revised Selected Papers PAKDD Workshops Xiaoli Li, Tru H. Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu Bao Ho, David Wai-Lok Cheung, Hiroshi Motoda
2015	J	`jnl`	Variable solution structure can be helpful in evolutionary optimization. Sci. China Inf. Sci. Chao Qian, Yang Yu, Zhi-Hua Zhou
2014	—	`ed.`	2014 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2014, Shenzhen, China, December 14, 2014 ICDM Workshops Zhi-Hua Zhou, Wei Wang, Ravi Kumar, Hannu Toivonen, Jian Pei, Joshua Zhexue Huang, Xindong Wu
2014	J	`jnl`	A Review on Multi-Label Learning Algorithms. IEEE Trans. Knowl. Data Eng. Min-Ling Zhang, Zhi-Hua Zhou
2014	J	`jnl`	Active Learning by Querying Informative and Representative Examples. IEEE Trans. Pattern Anal. Mach. Intell. Sheng-Jun Huang, Rong Jin, Zhi-Hua Zhou
2014	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part I PAKDD (1) Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L. P. Chen, Hung-Yu Kao
2014	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II PAKDD (2) Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L. P. Chen, Hung-Yu Kao
2014	A*	`conf`	ArchRanker: A ranking approach to design space exploration. ISCA Tianshi Chen, Qi Guo, Ke Tang, Olivier Temam, Zhiwei Xu, Zhi-Hua Zhou, Yunji Chen
2014	J	`jnl`	Automated annotation of developmental stages of Bioinform. Lei Yuan, Cheng Pan, Shuiwang Ji, Michael McCutchan, Zhi-Hua Zhou, Stuart J. Newfeld, Sudhir Kumar, Jieping Ye
2014	J	`jnl`	B-Planner: Planning Bidirectional Night Bus Routes Using Large-Scale Taxi GPS Traces. IEEE Trans. Intell. Transp. Syst. Chao Chen, Daqing Zhang, Nan Li, Zhi-Hua Zhou
2014	J	`jnl`	CUR Algorithm for Partially Observed Matrices. CoRR Miao Xu, Rong Jin, Zhi-Hua Zhou
2014	J	`jnl`	Dropout Rademacher Complexity of Deep Neural Networks. CoRR Wei Gao, Zhi-Hua Zhou
2014	J	`jnl`	Editorial to the Special Issue of Selected Papers of SDM 2013. Stat. Anal. Data Min. Jennifer G. Dy, Zhi-Hua Zhou
2014	A*	`conf`	Exploiting geographic dependencies for real estate appraisal: a mutual perspective of ranking and clustering. KDD Yanjie Fu, Hui Xiong, Yong Ge, Zijun Yao, Yu Zheng, Zhi-Hua Zhou
2014	A*	`conf`	Fast Multi-Instance Multi-Label Learning. AAAI Sheng-Jun Huang, Wei Gao, Zhi-Hua Zhou
2014	J	`jnl`	Genome-Wide Protein Function Prediction through Multi-Instance Multi-Label Learning. IEEE ACM Trans. Comput. Biol. Bioinform. Jian-Sheng Wu, Sheng-Jun Huang, Zhi-Hua Zhou
2014	J	`jnl`	Inductive Logic Boosting. CoRR Wang-Zhou Dai, Zhi-Hua Zhou
2014	A*	`conf`	Labeling Complicated Objects: Multi-View Multi-Instance Multi-Label Learning. AAAI Cam-Tu Nguyen, Xiaoliang Wang, Jing Liu, Zhi-Hua Zhou
2014	—	`conf`	Large Margin Distribution Learning. ANNPR Zhi-Hua Zhou
2014	A*	`conf`	Large margin distribution machine. KDD Teng Zhang, Zhi-Hua Zhou
2014	A*	`conf`	Learning with Augmented Class by Exploiting Unlabeled Data. AAAI Qing Da, Yang Yu, Zhi-Hua Zhou
2014	C	`conf`	Learning with Augmented Multi-Instance View. ACML Yue Zhu, Jianxin Wu, Yuan Jiang, Zhi-Hua Zhou
2014	B	`conf`	Location semantics prediction for living analytics by mining smartphone data. DSAA Chi-Min Huang, Josh Jia-Ching Ying, Vincent S. Tseng, Zhi-Hua Zhou
2014	A*	`conf`	Meta-path based multi-network collective link prediction. KDD Jiawei Zhang, Philip S. Yu, Zhi-Hua Zhou
2014	A*	`conf`	Multi-Instance Learning with Distribution Change. AAAI Weijia Zhang, Zhi-Hua Zhou
2014	A	`conf`	Napping for functional representation of policy. AAMAS Qing Da, Yang Yu, Zhi-Hua Zhou
2014	A	`conf`	On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments. PPSN Chao Qian, Yang Yu, Yaochu Jin, Zhi-Hua Zhou
2014	A*	`conf`	Partial Multi-View Clustering. AAAI Shao-Yuan Li, Yuan Jiang, Zhi-Hua Zhou
2014	A*	`conf`	Scalable Multi-instance Learning. ICDM Xiu-Shen Wei, Jianxin Wu, Zhi-Hua Zhou
2014	J	`jnl`	Special issue on the Sino-foreign-interchange workshop on intelligence science and intelligent data engineering. Neurocomputing Yanning Zhang, Zhi-Hua Zhou, Changshui Zhang
2014	—	`conf`	Top Rank Optimization in Linear Time. NIPS Nan Li, Rong Jin, Zhi-Hua Zhou
2014	J	`jnl`	Top Rank Optimization in Linear Time. CoRR Nan Li, Rong Jin, Zhi-Hua Zhou
2014	—	`ed.`	Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2014 International Workshops: DANTH, BDM, MobiSocial, BigEC, CloudSD, MSMV-MBI, SDA, DMDA-Health, ALSIP, SocNet, DMBIH, BigPMA,Tainan, Taiwan, May 13-16, 2014. Revised Selected Papers PAKDD Workshops Wen-Chih Peng, Haixun Wang, James Bailey, Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L. P. Chen
2013	J	`jnl`	A literature survey on robust and efficient eye localization in real-life scenarios. Pattern Recognit. Fengyi Song, Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou
2013	J	`jnl`	A spectral approach to detecting subtle anomalies in graphs. J. Intell. Inf. Syst. Leting Wu, Xintao Wu, Aidong Lu, Zhi-Hua Zhou
2013	A*	`conf`	Active Query Driven by Uncertainty and Diversity for Incremental Multi-label Learning. ICDM Sheng-Jun Huang, Zhi-Hua Zhou
2013	—	`ed.`	Advances in Multimedia Information Processing - PCM 2013 - 14th Pacific-Rim Conference on Multimedia, Nanjing, China, December 13-16, 2013. Proceedings PCM Benoit Huet, Chong-Wah Ngo, Jinhui Tang, Zhi-Hua Zhou, Alexander G. Hauptmann, Shuicheng Yan
2013	J	`jnl`	An analysis on recombination in multi-objective evolutionary optimization. Artif. Intell. Chao Qian, Yang Yu, Zhi-Hua Zhou
2013	J	`jnl`	Analyzing Evolutionary Optimization in Noisy Environments. CoRR Chao Qian, Yang Yu, Zhi-Hua Zhou
2013	A*	`conf`	B-Planner: Night bus route planning using large-scale taxi GPS traces. PerCom Chao Chen, Daqing Zhang, Zhi-Hua Zhou, Nan Li, Tülin Atmaca, Shijian Li
2013	C	`conf`	Co-Training with Insufficient Views. ACML Wei Wang, Zhi-Hua Zhou
2013	J	`jnl`	Convex and Scalable Weakly Labeled SVMs CoRR Yufeng Li, Ivor W. Tsang, James T. Kwok, Zhi-Hua Zhou
2013	J	`jnl`	Convex and scalable weakly labeled SVMs. J. Mach. Learn. Res. Yufeng Li, Ivor W. Tsang, James T. Kwok, Zhi-Hua Zhou
2013	J	`jnl`	Effective and efficient microprocessor design space exploration using unlabeled design configurations. ACM Trans. Intell. Syst. Technol. Tianshi Chen, Yunji Chen, Qi Guo, Zhi-Hua Zhou, Ling Li, Zhiwei Xu
2013	J	`jnl`	Efficient Optimization of Performance Measures by Classifier Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. Nan Li, Ivor W. Tsang, Zhi-Hua Zhou
2013	—	`conf`	Exploiting Label Relationship in Multi-Label Learning. UDM@IJCAI Zhi-Hua Zhou
2013	J	`jnl`	Exploiting unlabeled data to enhance ensemble diversity. Data Min. Knowl. Discov. Min-Ling Zhang, Zhi-Hua Zhou
2013	J	`jnl`	Facial Age Estimation by Learning from Label Distributions. IEEE Trans. Pattern Anal. Mach. Intell. Xin Geng, Chao Yin, Zhi-Hua Zhou
2013	J	`jnl`	Fast Multi-Instance Multi-Label Learning. CoRR Sheng-Jun Huang, Zhi-Hua Zhou
2013	J	`jnl`	Improved Bounds for the Nyström Method With Application to Kernel Classification. IEEE Trans. Inf. Theory Rong Jin, Tianbao Yang, Mehrdad Mahdavi, Yufeng Li, Zhi-Hua Zhou
2013	—	`ed.`	Intelligence Science and Big Data Engineering - 4th International Conference, IScIDE 2013, Beijing, China, July 31 - August 2, 2013, Revised Selected Papers IScIDE Changyin Sun, Fang Fang, Zhi-Hua Zhou, Wankou Yang, Zhiyong Liu
2013	J	`jnl`	Introduction: special issue of selected papers of ACML 2012. Mach. Learn. Zhi-Hua Zhou, Wee Sun Lee, Steven C. H. Hoi, Wray L. Buntine, Hiroshi Motoda
2013	J	`jnl`	Large Margin Distribution Machine. CoRR Teng Zhang, Zhi-Hua Zhou
2013	A*	`conf`	Learning Imbalanced Multi-class Data with Optimal Dichotomy Weights. ICDM Xu-Ying Liu, Qian-Qian Li, Zhi-Hua Zhou
2013	A*	`conf`	Multi-Instance Multi-Label Learning with Weak Label. IJCAI Shu-Jun Yang, Yuan Jiang, Zhi-Hua Zhou
2013	A*	`conf`	Multi-Label Learning with PRO Loss. AAAI Miao Xu, Yufeng Li, Zhi-Hua Zhou
2013	A*	`conf`	Multi-Modal Image Annotation with Multi-Instance Multi-Label LDA. IJCAI Cam-Tu Nguyen, De-Chuan Zhan, Zhi-Hua Zhou
2013	—	`ed.`	Multiple Classifier Systems, 11th International Workshop, MCS 2013, Nanjing, China, May 15-17, 2013. Proceedings MCS Zhi-Hua Zhou, Fabio Roli, Josef Kittler
2013	A*	`conf`	On the Approximation Ability of Evolutionary Optimization with Application to Minimum Set Cover: Extended Abstract. IJCAI Yang Yu, Xin Yao, Zhi-Hua Zhou
2013	J	`jnl`	On the consistency of multi-label learning. Artif. Intell. Wei Gao, Zhi-Hua Zhou
2013	J	`jnl`	On the doubt about margin explanation of boosting. Artif. Intell. Wei Gao, Zhi-Hua Zhou
2013	J	`jnl`	One-Pass AUC Optimization CoRR Wei Gao, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou
2013	—	`conf`	One-Pass AUC Optimization. ICML (3) Wei Gao, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou
2013	—	`ed.`	Partially Supervised Learning - Second IAPR International Workshop, PSL 2013, Nanjing, China, May 13-14, 2013 Revised Selected Papers PSL Zhi-Hua Zhou, Friedhelm Schwenker
2013	J	`jnl`	Resource Allocation for Heterogeneous Cognitive Radio Networks with Imperfect Spectrum Sensing. IEEE J. Sel. Areas Commun. Shaowei Wang, Zhi-Hua Zhou, Mengyao Ge, Chonggang Wang
2013	—	`conf`	Selective Ensemble of Classifier Chains. MCS Nan Li, Zhi-Hua Zhou
2013	—	`conf`	Self-Practice Imitation Learning from Weak Policy. PSL Qing Da, Yang Yu, Zhi-Hua Zhou
2013	J	`jnl`	Sequence-Based Prediction of microRNA-Binding Residues in Proteins Using Cost-Sensitive Laplacian Support Vector Machines. IEEE ACM Trans. Comput. Biol. Bioinform. Jian-Sheng Wu, Zhi-Hua Zhou
2013	—	`conf`	Speedup Matrix Completion with Side Information: Application to Multi-Label Learning. NIPS Miao Xu, Rong Jin, Zhi-Hua Zhou
2013	J	`jnl`	Transductive Multilabel Learning via Label Set Propagation. IEEE Trans. Knowl. Data Eng. Xiangnan Kong, Michael K. Ng, Zhi-Hua Zhou
2013	A*	`conf`	Uniform Convergence, Stability and Learnability for Ranking Problems. IJCAI Wei Gao, Zhi-Hua Zhou
2012	—	`conf`	Building Decision Trees for the Multi-class Imbalance Problem. PAKDD (1) T. Ryan Hoens, Qi Qian, Nitesh V. Chawla, Zhi-Hua Zhou
2012	—	`conf`	Disagreement-Based Multi-system Tracking. ACCV Workshops (2) Quannan Li, Xinggang Wang, Wei Wang, Yuan Jiang, Zhi-Hua Zhou, Zhuowen Tu
2012	—	`conf`	Diversity Regularized Ensemble Pruning. ECML/PKDD (1) Nan Li, Yang Yu, Zhi-Hua Zhou
2012	J	`jnl`	Drosophila Gene Expression Pattern Annotation through Multi-Instance Multi-Label Learning. IEEE ACM Trans. Comput. Biol. Bioinform. Ying-Xin Li, Shuiwang Ji, Sudhir Kumar, Jieping Ye, Zhi-Hua Zhou
2012	J	`jnl`	Examining spectral space of complex networks with positive and negative links. Int. J. Soc. Netw. Min. Leting Wu, Xiaowei Ying, Xintao Wu, Aidong Lu, Zhi-Hua Zhou
2012	Misc	`conf`	Exploitation of label relationship in multi-label learning. GrC Zhi-Hua Zhou
2012	—	`ed.`	Intelligent Science and Intelligent Data Engineering - Second Sino-foreign-interchange Workshop, IScIDE 2011, Xi'an, China, October 23-25, 2011, Revised Selected Papers IScIDE Yanning Zhang, Zhi-Hua Zhou, Changshui Zhang, Ying Li
2012	J	`jnl`	Introduction to the Special Section on Distance Metric Learning in Intelligent Systems. ACM Trans. Intell. Syst. Technol. Steven C. H. Hoi, Rong Jin, Jinhui Tang, Zhi-Hua Zhou
2012	J	`jnl`	Introduction to the special issue on learning from multi-label data. Mach. Learn. Grigorios Tsoumakas, Min-Ling Zhang, Zhi-Hua Zhou
2012	J	`jnl`	Isolation-Based Anomaly Detection. ACM Trans. Knowl. Discov. Data Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou
2012	C	`conf`	Key Instance Detection in Multi-Instance Learning. ACML Guoqing Liu, Jianxin Wu, Zhi-Hua Zhou
2012	J	`jnl`	Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval. BMC Bioinform. Lei Yuan, Alexander Woodard, Shuiwang Ji, Yuan Jiang, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye
2012	A*	`conf`	Multi-Label Learning by Exploiting Label Correlations Locally. AAAI Sheng-Jun Huang, Zhi-Hua Zhou
2012	J	`jnl`	Multi-instance multi-label learning. Artif. Intell. Zhi-Hua Zhou, Min-Ling Zhang, Sheng-Jun Huang, Yufeng Li
2012	A*	`conf`	Multi-label hypothesis reuse. KDD Sheng-Jun Huang, Yang Yu, Zhi-Hua Zhou
2012	J	`jnl`	New Semi-Supervised Classification Method Based on Modified Cluster Assumption. IEEE Trans. Neural Networks Learn. Syst. Yunyun Wang, Songcan Chen, Zhi-Hua Zhou
2012	J	`jnl`	Non-Parametric Kernel Learning with robust pairwise constraints. Int. J. Mach. Learn. Cybern. Changyou Chen, Junping Zhang, Xuefang He, Zhi-Hua Zhou
2012	—	`conf`	Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison. NIPS Tianbao Yang, Yufeng Li, Mehrdad Mahdavi, Rong Jin, Zhi-Hua Zhou
2012	—	`conf`	On Algorithm-Dependent Boundary Case Identification for Problem Classes. PPSN (1) Chao Qian, Yang Yu, Zhi-Hua Zhou
2012	J	`jnl`	On the approximation ability of evolutionary optimization with application to minimum set cover. Artif. Intell. Yang Yu, Xin Yao, Zhi-Hua Zhou
2012	J	`jnl`	On the consistency of AUC Optimization CoRR Wei Gao, Zhi-Hua Zhou
2012	A*	`conf`	Resource allocation for heterogeneous multiuser OFDM-based cognitive radio networks with imperfect spectrum sensing. INFOCOM Shaowei Wang, Zhi-Hua Zhou, Mengyao Ge, Chonggang Wang
2012	J	`jnl`	Sample-based software defect prediction with active and semi-supervised learning. Autom. Softw. Eng. Ming Li, Hongyu Zhang, Rongxin Wu, Zhi-Hua Zhou
2012	A*	`conf`	Semi-supervised multi-instance multi-label learning for video annotation task. ACM Multimedia Xin-Shun Xu, Yuan Jiang, Xiangyang Xue, Zhi-Hua Zhou
2012	A*	`conf`	Towards Discovering What Patterns Trigger What Labels. AAAI Yufeng Li, Ju-Hua Hu, Yuan Jiang, Zhi-Hua Zhou
2012	A*	`conf`	Unsupervised metric fusion by cross diffusion. CVPR Bo Wang, Jiayan Jiang, Wei Wang, Zhi-Hua Zhou, Zhuowen Tu
2011	J	`jnl`	A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin. J. Mach. Learn. Res. Liwei Wang, Masashi Sugiyama, Zhaoxiang Jing, Cheng Yang, Zhi-Hua Zhou, Jufu Feng
2011	A*	`conf`	A Taxi Driving Fraud Detection System. ICDM Yong Ge, Hui Xiong, Chuanren Liu, Zhi-Hua Zhou
2011	J	`jnl`	A conversation with Professor Zhi-Hua Zhou. SIGKDD Explor. Zhi-Hua Zhou
2011	A	`conf`	An analysis on recombination in multi-objective evolutionary optimization. GECCO Chao Qian, Yang Yu, Zhi-Hua Zhou
2011	J	`jnl`	CoTrade: Confident Co-Training With Data Editing. IEEE Trans. Syst. Man Cybern. Part B Min-Ling Zhang, Zhi-Hua Zhou
2011	—	`conf`	Collisions are helpful for computing unique input-output sequences. GECCO (Companion) Chao Qian, Yang Yu, Zhi-Hua Zhou
2011	B	`conf`	Cost-Sensitive Learning. MDAI Zhi-Hua Zhou
2011	A*	`conf`	Diversity Regularized Machine. IJCAI Yang Yu, Yufeng Li, Zhi-Hua Zhou
2011	A*	`conf`	Effective and Efficient Microprocessor Design Space Exploration Using Unlabeled Design Configurations. IJCAI Qi Guo, Tianshi Chen, Yunji Chen, Zhi-Hua Zhou, Weiwu Hu, Zhiwei Xu
2011	A*	`conf`	Ensemble approach based on conditional random field for multi-label image and video annotation. ACM Multimedia Xin-Shun Xu, Yuan Jiang, Liang Peng, Xiangyang Xue, Zhi-Hua Zhou
2011	A*	`conf`	Ensemble multi-instance multi-label learning approach for video annotation task. ACM Multimedia Xin-Shun Xu, Xiangyang Xue, Zhi-Hua Zhou
2011	J	`jnl`	Face Image Modeling by Multilinear Subspace Analysis With Missing Values. IEEE Trans. Syst. Man Cybern. Part B Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou, Liang Wang
2011	J	`jnl`	Fast Power Allocation Algorithm for Cognitive Radio Networks. IEEE Commun. Lett. Shaowei Wang, Fangjiang Huang, Zhi-Hua Zhou
2011	A*	`conf`	Improving Semi-Supervised Support Vector Machines Through Unlabeled Instances Selection. AAAI Yufeng Li, Zhi-Hua Zhou
2011	—	`conf`	Lifted-Rollout for Approximate Policy Iteration of Markov Decision Process. ICDM Workshops Wang-Zhou Dai, Yang Yu, Zhi-Hua Zhou
2011	A*	`conf`	Line Orthogonality in Adjacency Eigenspace with Application to Community Partition. IJCAI Leting Wu, Xiaowei Ying, Xintao Wu, Zhi-Hua Zhou
2011	A*	`conf`	Local and Structural Consistency for Multi-Manifold Clustering. IJCAI Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou
2011	A*	`conf`	Localized K-Flats. AAAI Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou
2011	A*	`conf`	On the Consistency of Multi-Label Learning. COLT Wei Gao, Zhi-Hua Zhou
2011	J	`jnl`	Quantitative Analysis of Nonlinear Embedding. IEEE Trans. Neural Networks Junping Zhang, Qi Wang, Li He, Zhi-Hua Zhou
2011	J	`jnl`	Software Defect Detection with Rocus. J. Comput. Sci. Technol. Yuan Jiang, Ming Li, Zhi-Hua Zhou
2011	J	`jnl`	Special edition on semi-supervised learning for visual content analysis and understanding. Pattern Recognit. Jian Cheng, Jinjun Wang, Shuqiang Jiang, Zhi-Hua Zhou, Edwin R. Hancock
2011	—	`conf`	Spectral Analysis of PAKDD (2) Leting Wu, Xiaowei Ying, Xintao Wu, Aidong Lu, Zhi-Hua Zhou
2011	J	`jnl`	Spectral Clustering on Multiple Manifolds. IEEE Trans. Neural Networks Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou
2011	J	`jnl`	Towards Analyzing Crossover Operators in Evolutionary Search via General Markov Chain Switching Theorem CoRR Yang Yu, Chao Qian, Zhi-Hua Zhou
2011	—	`conf`	Towards Cost-Sensitive Learning for Real-World Applications. PAKDD Workshops Xu-Ying Liu, Zhi-Hua Zhou
2011	A*	`conf`	Towards Making Unlabeled Data Never Hurt. ICML Yufeng Li, Zhi-Hua Zhou
2011	—	`conf`	Unlabeled Data and Multiple Views. PSL Zhi-Hua Zhou
2011	J	`jnl`	When Does Cotraining Work in Real Data? IEEE Trans. Knowl. Data Eng. Jun Du, Charles X. Ling, Zhi-Hua Zhou
2011	Misc	`conf`	iBAT: detecting anomalous taxi trajectories from GPS traces. UbiComp Daqing Zhang, Nan Li, Zhi-Hua Zhou, Chao Chen, Lin Sun, Shijian Li
2010	A*	`conf`	A New Analysis of Co-Training. ICML Wei Wang, Zhi-Hua Zhou
2010	J	`jnl`	A framework for modeling positive class expansion with single snapshot. Knowl. Inf. Syst. Yang Yu, Zhi-Hua Zhou
2010	—	`conf`	Active Learning by Querying Informative and Representative Examples. NIPS Sheng-Jun Huang, Rong Jin, Zhi-Hua Zhou
2010	B	`conf`	Approximation Stability and Boosting. ALT Wei Gao, Zhi-Hua Zhou
2010	J	`jnl`	Corrigendum to "Ensembling neural networks: Many could be better than all" [Artificial Intelligence 137 (1-2) (2002) 239-263]. Artif. Intell. Zhi-Hua Zhou, Jianxin Wu, Wei Tang
2010	J	`jnl`	Cost-Sensitive Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Yin Zhang, Zhi-Hua Zhou
2010	A*	`conf`	Cost-Sensitive Semi-Supervised Support Vector Machine. AAAI Yufeng Li, James T. Kwok, Zhi-Hua Zhou
2010	J	`jnl`	Editorial. Intell. Data Anal. Tu Bao Ho, Zhi-Hua Zhou, Hiroshi Motoda
2010	J	`jnl`	Efficiently Learning Nonlinear Classifiers for Domain Specific Performance Measures CoRR Nan Li, Ivor W. Tsang, Zhi-Hua Zhou
2010	J	`jnl`	Evolutionary Algorithms as Guaranteed Approximation Optimizers CoRR Yang Yu, Xin Yao, Zhi-Hua Zhou
2010	A*	`conf`	Exploiting Unlabeled Data to Enhance Ensemble Diversity. ICDM Min-Ling Zhang, Zhi-Hua Zhou
2010	J	`jnl`	Exploiting remote learners in Internet environment with agents. Sci. China Inf. Sci. Ming Li, Wei Wang, Zhi-Hua Zhou
2010	A*	`conf`	Facial Age Estimation by Learning from Label Distributions. AAAI Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou
2010	J	`jnl`	Generalized low-rank approximations of matrices revisited. IEEE Trans. Neural Networks Jun Liu, Songcan Chen, Zhi-Hua Zhou, Xiaoyang Tan
2010	A*	`conf`	Learning with cost intervals. KDD Xu-Ying Liu, Zhi-Hua Zhou
2010	A*	`conf`	Multi-Instance Dimensionality Reduction. AAAI Yu-Yin Sun, Michael K. Ng, Zhi-Hua Zhou
2010	A*	`conf`	Multi-Label Learning with Weak Label. AAAI Yu-Yin Sun, Yin Zhang, Zhi-Hua Zhou
2010	J	`jnl`	Multi-View Active Learning in the Non-Realizable Case CoRR Wei Wang, Zhi-Hua Zhou
2010	—	`conf`	Multi-View Active Learning in the Non-Realizable Case. NIPS Wei Wang, Zhi-Hua Zhou
2010	J	`jnl`	Multi-View Video Summarization. IEEE Trans. Multim. Yanwei Fu, Yanwen Guo, Yanshu Zhu, Feng Liu, Chuanming Song, Zhi-Hua Zhou
2010	—	`conf`	Multi-information Ensemble Diversity. MCS Zhi-Hua Zhou, Nan Li
2010	B	`conf`	Multi-manifold Clustering. PRICAI Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou
2010	J	`jnl`	Multilabel dimensionality reduction via dependence maximization. ACM Trans. Knowl. Discov. Data Yin Zhang, Zhi-Hua Zhou
2010	—	`conf`	On Detecting Clustered Anomalies Using SCiForest. ECML/PKDD (2) Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou
2010	J	`jnl`	On Multi-Class Cost-Sensitive Learning. Comput. Intell. Zhi-Hua Zhou, Xu-Ying Liu
2010	J	`jnl`	Preface. J. Comput. Sci. Technol. Zhi-Hua Zhou, Hang Li
2010	J	`jnl`	S4VM: Safe Semi-Supervised Support Vector Machine CoRR Yufeng Li, Zhi-Hua Zhou
2010	J	`jnl`	Semi-supervised learning by disagreement. Knowl. Inf. Syst. Zhi-Hua Zhou, Ming Li
2010	J	`jnl`	Social Learning. IEEE Intell. Syst. Qiang Yang, Zhi-Hua Zhou, Wenji Mao, Wei Li, Nathan Nan Liu
2010	J	`jnl`	The kth, Median and Average Margin Bounds for AdaBoost CoRR Wei Gao, Zhi-Hua Zhou
2010	A	`conf`	Top-Eye: top-k evolving trajectory outlier detection. CIKM Yong Ge, Hui Xiong, Zhi-Hua Zhou, Hasan Timucin Ozdemir, Jannite Yu, Kuo Chu Lee
2010	—	`conf`	Towards Analyzing Recombination Operators in Evolutionary Search. PPSN (1) Yang Yu, Chao Qian, Zhi-Hua Zhou
2010	J	`jnl`	Understanding bag-of-words model: a statistical framework. Int. J. Mach. Learn. Cybern. Yin Zhang, Rong Jin, Zhi-Hua Zhou
2009	—	`conf`	A Convex Method for Locating Regions of Interest with Multi-instance Learning. ECML/PKDD (2) Yufeng Li, James T. Kwok, Ivor W. Tsang, Zhi-Hua Zhou
2009	—	`conf`	A Framework for Machine Learning with Ambiguous Objects. AMT Zhi-Hua Zhou
2009	—	`conf`	A Framework for Machine Learning with Ambiguous Objects. Brain Informatics Zhi-Hua Zhou
2009	J	`jnl`	A bag-of-words approach for BMC Bioinform. Shuiwang Ji, Ying-Xin Li, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye
2009	C	`ed.`	Advances in Machine Learning, First Asian Conference on Machine Learning, ACML 2009, Nanjing, China, November 2-4, 2009. Proceedings ACML Zhi-Hua Zhou, Takashi Washio
2009	—	`ch.`	Boosting. Encyclopedia of Database Systems Zhi-Hua Zhou
2009	B	`conf`	Budget Semi-supervised Learning. PAKDD Zhi-Hua Zhou, Michael K. Ng, Qiao-Qiao She, Yuan Jiang
2009	J	`jnl`	Classifier Ensemble with Unlabeled Data CoRR Min-Ling Zhang, Zhi-Hua Zhou
2009	J	`jnl`	Distributional Features for Text Categorization. IEEE Trans. Knowl. Data Eng. Xiao-Bing Xue, Zhi-Hua Zhou
2009	A*	`conf`	Drosophila gene expression pattern annotation using sparse features and term-term interactions. KDD Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye
2009	A*	`conf`	DrosophilaGene Expression Pattern Annotation through Multi-Instance Multi-Label Learning. IJCAI Ying-Xin Li, Shuiwang Ji, Sudhir Kumar, Jieping Ye, Zhi-Hua Zhou
2009	J	`jnl`	Editorial: special issue on selected papers of PAKDD 2007. Knowl. Inf. Syst. Zhi-Hua Zhou, Hang Li, Qiang Yang
2009	A*	`conf`	Enhanced Pictorial Structures for precise eye localization under incontrolled conditions. CVPR Xiaoyang Tan, Fengyi Song, Zhi-Hua Zhou, Songcan Chen
2009	—	`ch.`	Ensemble Learning. Encyclopedia of Biometrics Zhi-Hua Zhou
2009	—	`ch.`	Ensemble. Encyclopedia of Database Systems Zhi-Hua Zhou
2009	A*	`conf`	Exploiting Multi-Modal Interactions: A Unified Framework. IJCAI Ming Li, Xiao-Bing Xue, Zhi-Hua Zhou
2009	J	`jnl`	Exploratory Undersampling for Class-Imbalance Learning. IEEE Trans. Syst. Man Cybern. Part B Xu-Ying Liu, Jianxin Wu, Zhi-Hua Zhou
2009	A*	`conf`	Face image modeling by multilinear subspace analysis with missing values. ACM Multimedia Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou, Liang Wang
2009	J	`jnl`	Face recognition under occlusions and variant expressions with partial similarity. IEEE Trans. Inf. Forensics Secur. Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Jun Liu
2009	J	`jnl`	Image Retargeting Using Mesh Parametrization. IEEE Trans. Multim. Yanwen Guo, Feng Liu, Jian Shi, Zhi-Hua Zhou, Michael Gleicher
2009	A*	`conf`	Learning a distance metric from multi-instance multi-label data. CVPR Rong Jin, Shijun Wang, Zhi-Hua Zhou
2009	A*	`conf`	Learning instance specific distances using metric propagation. ICML De-Chuan Zhan, Ming Li, Yufeng Li, Zhi-Hua Zhou
2009	A*	`conf`	Least Square Incremental Linear Discriminant Analysis. ICDM Li-Ping Liu, Yuan Jiang, Zhi-Hua Zhou
2009	J	`jnl`	Mining extremely small data sets with application to software reuse. Softw. Pract. Exp. Yuan Jiang, Ming Li, Zhi-Hua Zhou
2009	J	`jnl`	Multi-instance clustering with applications to multi-instance prediction. Appl. Intell. Min-Ling Zhang, Zhi-Hua Zhou
2009	A*	`conf`	Multi-instance learning by treating instances as non-I.I.D. samples. ICML Zhi-Hua Zhou, Yu-Yin Sun, Yufeng Li
2009	A*	`conf`	Non-Metric Label Propagation. IJCAI Yin Zhang, Zhi-Hua Zhou
2009	J	`jnl`	Preface. Int. J. Softw. Informatics Tu Bao Ho, Zhi-Hua Zhou, Hiroshi Motoda
2009	—	`conf`	Selective Ensemble under Regularization Framework. MCS Nan Li, Zhi-Hua Zhou
2009	A*	`conf`	Semi-naive Exploitation of One-Dependence Estimators. ICDM Nan Li, Yang Yu, Zhi-Hua Zhou
2009	J	`jnl`	Semi-supervised document retrieval. Inf. Process. Manag. Ming Li, Hang Li, Zhi-Hua Zhou
2009	A*	`conf`	Semi-supervised learning using label mean. ICML Yufeng Li, James T. Kwok, Zhi-Hua Zhou
2009	A	`conf`	Tighter and Convex Maximum Margin Clustering. AISTATS Yufeng Li, Ivor W. Tsang, James Tin-Yau Kwok, Zhi-Hua Zhou
2009	—	`conf`	When Semi-supervised Learning Meets Ensemble Learning. MCS Zhi-Hua Zhou
2009	B	`conf`	When does Co-training Work in Real Data?. PAKDD Charles X. Ling, Jun Du, Zhi-Hua Zhou
2008	B	`conf`	A Framework for Modeling Positive Class Expansion with Single Snapshot. PAKDD Yang Yu, Zhi-Hua Zhou
2008	J	`jnl`	A new approach to estimating the expected first hitting time of evolutionary algorithms. Artif. Intell. Yang Yu, Zhi-Hua Zhou
2008	—	`ed.`	Applications of Data Mining in E-Business and Finance DMBiz@PAKDD Carlos Soares, Yonghong Peng, Jun Meng, Takashi Washio, Zhi-Hua Zhou
2008	A*	`conf`	Constraint Projections for Ensemble Learning. AAAI Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou, Qiang Yang
2008	J	`jnl`	Constraint Score: A new filter method for feature selection with pairwise constraints. Pattern Recognit. Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
2008	J	`jnl`	Correction to "Automatic Age Estimation Based on Facial Aging Patterns". IEEE Trans. Pattern Anal. Mach. Intell. Xin Geng, Zhi-Hua Zhou, Kate Smith-Miles
2008	A*	`conf`	Cost-sensitive face recognition. CVPR Yin Zhang, Zhi-Hua Zhou
2008	A*	`conf`	Facial age estimation by nonlinear aging pattern subspace. ACM Multimedia Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou
2008	J	`jnl`	Improving Web search using image snippets. ACM Trans. Internet Techn. Xiao-Bing Xue, Zhi-Hua Zhou, Zhongfei (Mark) Zhang
2008	J	`jnl`	Individual Stable Space: An Approach to Face Recognition Under Uncontrolled Conditions. IEEE Trans. Neural Networks Xin Geng, Zhi-Hua Zhou, Kate Smith-Miles
2008	A*	`conf`	Isolation Forest. ICDM Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou
2008	A*	`conf`	M3MIML: A Maximum Margin Method for Multi-instance Multi-label Learning. ICDM Min-Ling Zhang, Zhi-Hua Zhou
2008	J	`jnl`	MIML: A Framework for Learning with Ambiguous Objects CoRR Zhi-Hua Zhou, Min-Ling Zhang, Sheng-Jun Huang, Yufeng Li
2008	B	`conf`	Mining Bulletin Board Systems Using Community Generation. PAKDD Ming Li, Zhongfei (Mark) Zhang, Zhi-Hua Zhou
2008	J	`jnl`	Multi-Instance Learning by Treating Instances As Non-I.I.D. Samples CoRR Zhi-Hua Zhou, Yu-Yin Sun, Yufeng Li
2008	A*	`conf`	Multi-Label Dimensionality Reduction via Dependence Maximization. AAAI Yin Zhang, Zhi-Hua Zhou
2008	A*	`conf`	On multi-view active learning and the combination with semi-supervised learning. ICML Wei Wang, Zhi-Hua Zhou
2008	A*	`conf`	On the Margin Explanation of Boosting Algorithms. COLT Liwei Wang, Masashi Sugiyama, Cheng Yang, Zhi-Hua Zhou, Jufu Feng
2008	B	`conf`	On the usefulness of infeasible solutions in evolutionary search: A theoretical study. IEEE Congress on Evolutionary Computation Yang Yu, Zhi-Hua Zhou
2008	B	`ed.`	PRICAI 2008: Trends in Artificial Intelligence, 10th Pacific Rim International Conference on Artificial Intelligence, Hanoi, Vietnam, December 15-19, 2008. Proceedings PRICAI Tu Bao Ho, Zhi-Hua Zhou
2008	Misc	`conf`	Semi-supervised Learning by Disagreement. GrC Zhi-Hua Zhou
2008	J	`jnl`	Spectrum of Variable-Random Trees. J. Artif. Intell. Res. Fei Tony Liu, Kai Ming Ting, Yang Yu, Zhi-Hua Zhou
2008	A*	`conf`	TEFE: A Time-Efficient Approach to Feature Extraction. ICDM Li-Ping Liu, Yang Yu, Yuan Jiang, Zhi-Hua Zhou
2008	J	`jnl`	Top 10 algorithms in data mining. Knowl. Inf. Syst. Xindong Wu, Vipin Kumar, J. Ross Quinlan, Joydeep Ghosh, Qiang Yang, Hiroshi Motoda, Geoffrey J. McLachlan, Angus F. M. Ng, Bing Liu, Philip S. Yu, Zhi-Hua Zhou, Michael S. Steinbach, David J. Hand, Dan Steinberg
2007	B	`ed.`	Advances in Knowledge Discovery and Data Mining, 11th Pacific-Asia Conference, PAKDD 2007, Nanjing, China, May 22-25, 2007, Proceedings PAKDD Zhi-Hua Zhou, Hang Li, Qiang Yang
2007	—	`conf`	Analyzing Co-training Style Algorithms. ECML Wei Wang, Zhi-Hua Zhou
2007	—	`conf`	Applications of Data Mining in E-Business Finance: Introduction. DMBiz@PAKDD Carlos Soares, Yonghong Peng, Jun Meng, Takashi Washio, Zhi-Hua Zhou
2007	J	`jnl`	Automatic Age Estimation Based on Facial Aging Patterns. IEEE Trans. Pattern Anal. Mach. Intell. Xin Geng, Zhi-Hua Zhou, Kate Smith-Miles
2007	A*	`conf`	Cocktail Ensemble for Regression. ICDM Yang Yu, Zhi-Hua Zhou, Kai Ming Ting
2007	—	`ed.`	Emerging Technologies in Knowledge Discovery and Data Mining, PAKDD 2007, International Workshops, Nanjing, China, May 22-25, 2007, Revised Selected Papers PAKDD Workshops Takashi Washio, Zhi-Hua Zhou, Joshua Zhexue Huang, Xiaohua Hu, Jinyan Li, Chao Xie, Jieyue He, Deqing Zou, Kuan-Ching Li, Mário M. Freire
2007	J	`jnl`	Entropy-Inspired Competitive Clustering Algorithms. Int. J. Softw. Informatics Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
2007	A*	`conf`	Exploiting Image Contents in Web Search. IJCAI Zhi-Hua Zhou, Hong-Bin Dai
2007	J	`jnl`	Guest Editorial to the Special Issue on Advances of Artificial Intelligence and Knowledge Engineering in China. Comput. J. Ruqian Lu, Zhi-Hua Zhou
2007	J	`jnl`	Improve Computer-Aided Diagnosis With Machine Learning Techniques Using Undiagnosed Samples. IEEE Trans. Syst. Man Cybern. Part A Ming Li, Zhi-Hua Zhou
2007	J	`jnl`	ML-KNN: A lazy learning approach to multi-label learning. Pattern Recognit. Min-Ling Zhang, Zhi-Hua Zhou
2007	C	`conf`	Mining Ambiguous Data with Multi-instance Multi-label Representation. ADMA Zhi-Hua Zhou
2007	A*	`conf`	Multi-Label Learning by Instance Differentiation. AAAI Min-Ling Zhang, Zhi-Hua Zhou
2007	A*	`conf`	On the relation between multi-instance learning and semi-supervised learning. ICML Zhi-Hua Zhou, Jun-Ming Xu
2007	J	`jnl`	Predicting Future Customers via Ensembling Gradually Expanded Trees. Int. J. Data Warehous. Min. Yang Yu, De-Chuan Zhan, Xu-Ying Liu, Ming Li, Zhi-Hua Zhou
2007	A	`conf`	Semi-Supervised Dimensionality Reduction. SDM Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
2007	A*	`conf`	Semi-Supervised Learning with Very Few Labeled Training Examples. AAAI Zhi-Hua Zhou, De-Chuan Zhan, Qiang Yang
2007	J	`jnl`	Semisupervised Regression with Cotraining-Style Algorithms. IEEE Trans. Knowl. Data Eng. Zhi-Hua Zhou, Ming Li
2007	—	`conf`	Single Image Subspace for Face Recognition. AMFG Jun Liu, Songcan Chen, Zhi-Hua Zhou, Xiaoyang Tan
2007	J	`jnl`	Solving multi-instance problems with classifier ensemble based on constructive clustering. Knowl. Inf. Syst. Zhi-Hua Zhou, Min-Ling Zhang
2007	—	`conf`	Structure Learning of Probabilistic Relational Models from Incomplete Relational Data. ECML Xiao-Lin Li, Zhi-Hua Zhou
2006	A*	`conf`	A New Approach to Estimating the Expected First Hitting Time of Evolutionary Algorithms. AAAI Yang Yu, Zhi-Hua Zhou
2006	J	`jnl`	Adapting RBF Neural Networks to Multi-Instance Learning. Neural Process. Lett. Min-Ling Zhang, Zhi-Hua Zhou
2006	A*	`conf`	Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels. ICDM Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
2006	J	`jnl`	Clusterer ensemble. Knowl. Based Syst. Zhi-Hua Zhou, Wei Tang
2006	J	`jnl`	Diagonal principal component analysis for face recognition. Pattern Recognit. Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
2006	—	`conf`	Distributional Features for Text Categorization. ECML Xiao-Bing Xue, Zhi-Hua Zhou
2006	J	`jnl`	Enhancing relevance feedback in image retrieval using unlabeled data. ACM Trans. Inf. Syst. Zhi-Hua Zhou, Ke-Jia Chen, Hong-Bin Dai
2006	—	`conf`	Ensemble-Based Discriminant Manifold Learning for Face Recognition. ICNC (1) Junping Zhang, Li He, Zhi-Hua Zhou
2006	A*	`conf`	Exploratory Under-Sampling for Class-Imbalance Learning. ICDM Xu-Ying Liu, Jianxin Wu, Zhi-Hua Zhou
2006	J	`jnl`	Face recognition from a single image per person: A survey. Pattern Recognit. Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang
2006	—	`conf`	Generation of Comprehensible Hypotheses from Gene Expression Data. BioDM Yuan Jiang, Ming Li, Zhi-Hua Zhou
2006	J	`jnl`	Guest Editors' introduction to the special issue: machine learning approaches to multimedia information retrieval. Multim. Syst. Arif Ghafoor, Zhongfei (Mark) Zhang, Michael S. Lew, Zhi-Hua Zhou
2006	J	`jnl`	Image Region Selection and Ensemble for Face Recognition. J. Comput. Sci. Technol. Xin Geng, Zhi-Hua Zhou
2006	A*	`conf`	Improve Web Search Using Image Snippets. AAAI Xiao-Bing Xue, Zhi-Hua Zhou, Zhongfei (Mark) Zhang
2006	—	`conf`	Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion. CVPR (1) Xiaoyang Tan, Songcan Chen, Jun Li, Zhi-Hua Zhou
2006	A*	`conf`	Learning from facial aging patterns for automatic age estimation. ACM Multimedia Xin Geng, Zhi-Hua Zhou, Yu Zhang, Gang Li, Honghua Dai
2006	J	`jnl`	Learning the kernel parameters in kernel minimum distance classifier. Pattern Recognit. Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
2006	B	`conf`	Learning with Unlabeled Data and Its Application to Image Retrieval. PRICAI Zhi-Hua Zhou
2006	J	`jnl`	Multi-Instance Learning from Supervised View. J. Comput. Sci. Technol. Zhi-Hua Zhou
2006	—	`conf`	Multi-Instance Multi-Label Learning with Application to Scene Classification. NIPS Zhi-Hua Zhou, Min-Ling Zhang
2006	J	`jnl`	Multi-Label Neural Networks with Applications to Functional Genomics and Text Categorization. IEEE Trans. Knowl. Data Eng. Min-Ling Zhang, Zhi-Hua Zhou
2006	B	`conf`	Neighbor Line-Based Locally Linear Embedding. PAKDD De-Chuan Zhan, Zhi-Hua Zhou
2006	B	`conf`	Non-negative Matrix Factorization on Kernels. PRICAI Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
2006	A*	`conf`	On Multi-Class Cost-Sensitive Learning. AAAI Zhi-Hua Zhou, Xu-Ying Liu
2006	A*	`conf`	Query-Sensitive Similarity Measure for Content-Based Image Retrieval. ICDM Zhi-Hua Zhou, Hong-Bin Dai
2006	—	`conf`	Recognizing Face or Object from a Single Image: Linear vs. Kernel Methods on 2D Patterns. SSPR/SPR Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
2006	A*	`conf`	The Influence of Class Imbalance on Cost-Sensitive Learning: An Empirical Study. ICDM Xu-Ying Liu, Zhi-Hua Zhou
2006	J	`jnl`	Training Cost-Sensitive Neural Networks with Methods Addressing the Class Imbalance Problem. IEEE Trans. Knowl. Data Eng. Zhi-Hua Zhou, Xu-Ying Liu
2006	B	`conf`	Uncontrolled Face Recognition by Individual Stable Neural Network. PRICAI Xin Geng, Zhi-Hua Zhou, Honghua Dai
2005	J	`jnl`	(2D) Neurocomputing Daoqiang Zhang, Zhi-Hua Zhou
2005	Misc	`conf`	A k-nearest neighbor based algorithm for multi-label classification. GrC Min-Ling Zhang, Zhi-Hua Zhou
2005	J	`jnl`	A new face recognition method based on SVD perturbation for single example image per person. Appl. Math. Comput. Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
2005	J	`jnl`	A unified SWSI-KAMs framework and performance evaluation on face recognition. Neurocomputing Songcan Chen, Lei Chen, Zhi-Hua Zhou
2005	J	`jnl`	Adapt Bagging to Nearest Neighbor Classifiers. J. Comput. Sci. Technol. Zhi-Hua Zhou, Yang Yu
2005	C	`conf`	An Intelligent Medical Image Understanding Method Using Two-Tier Neural Network Ensembles. IEA/AIE Yu-Bin Yang, Shifu Chen, Zhi-Hua Zhou, Hui Lin, Yukun Ye
2005	—	`conf`	Dependency Bagging. RSFDGrC (1) Yuan Jiang, Jinjiang Ling, Gang Li, Honghua Dai, Zhi-Hua Zhou
2005	J	`jnl`	Ensembling local learners ThroughMultimodal perturbation. IEEE Trans. Syst. Man Cybern. Part B Zhi-Hua Zhou, Yang Yu
2005	B	`conf`	Feature Selection for High Dimensional Face Image Using Self-organizing Maps. PAKDD Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang
2005	—	`conf`	Locating Regions of Interest in CBIR with Multi-instance Learning Techniques. Australian Conference on Artificial Intelligence Zhi-Hua Zhou, Xiao-Bing Xue, Yuan Jiang
2005	J	`jnl`	Multi-Instance Learning Based Web Mining. Appl. Intell. Zhi-Hua Zhou, Kai Jiang, Ming Li
2005	J	`jnl`	Recognizing partially occluded, expression variant faces from single training image per person with SOM and soft k-NN ensemble. IEEE Trans. Neural Networks Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang
2005	B	`conf`	SETRED: Self-training with Editing. PAKDD Ming Li, Zhi-Hua Zhou
2005	A*	`conf`	Semi-Supervised Regression with Co-Training. IJCAI Zhi-Hua Zhou, Ming Li
2005	—	`conf`	Spiculated Lesion Detection in Digital Mammogram Based on Artificial Neural Network Ensemble. ISNN (3) Ning Li, Huajie Zhou, Jinjiang Ling, Zhi-Hua Zhou
2005	J	`jnl`	Supervised nonlinear dimensionality reduction for visualization and classification. IEEE Trans. Syst. Man Cybern. Part B Xin Geng, De-Chuan Zhan, Zhi-Hua Zhou
2005	J	`jnl`	Tri-Training: Exploiting Unlabeled Data Using Three Classifiers. IEEE Trans. Knowl. Data Eng. Zhi-Hua Zhou, Ming Li
2005	—	`conf`	Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition. AMFG Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
2004	Misc	`conf`	Analyzing Magnification Factors and Principal Spread Directions in Manifold Learning. WSC Junping Zhang, Li He, Zhi-Hua Zhou
2004	J	`jnl`	Artificial intelligence in medicine in China. Artif. Intell. Medicine Zhi-Hua Zhou, Ruqian Lu
2004	—	`conf`	Editing Training Data for kNN Classifiers with Neural Network Ensemble. ISNN (1) Yuan Jiang, Zhi-Hua Zhou
2004	J	`jnl`	Enhanced (PC) Pattern Recognit. Lett. Songcan Chen, Daoqiang Zhang, Zhi-Hua Zhou
2004	—	`conf`	Ensembles of Multi-Instance Neural Networks. IIP Min-Ling Zhang, Zhi-Hua Zhou
2004	B	`conf`	Ensembling MML Causal Discovery. PAKDD Honghua Dai, Gang Li, Zhi-Hua Zhou
2004	—	`conf`	Exploiting Unlabeled Data in Content-Based Image Retrieval. ECML Zhi-Hua Zhou, Ke-Jia Chen, Yuan Jiang
2004	—	`conf`	Fuzzy-Kernel Learning Vector Quantization. ISNN (1) Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
2004	J	`jnl`	Improve Multi-Instance Neural Networks through Feature Selection. Neural Process. Lett. Min-Ling Zhang, Zhi-Hua Zhou
2004	J	`jnl`	Making FLDA applicable to face recognition with one sample per person. Pattern Recognit. Songcan Chen, Jun Liu, Zhi-Hua Zhou
2004	—	`conf`	Meta-game Equilibrium for Multi-agent Reinforcement Learning. Australian Conference on Artificial Intelligence Yang Gao, Joshua Zhexue Huang, Hongqiang Rong, Zhi-Hua Zhou
2004	J	`jnl`	NeC4.5: Neural Ensemble Based C4.5. IEEE Trans. Knowl. Data Eng. Zhi-Hua Zhou, Yuan Jiang
2004	B	`conf`	On the Size of Training Set and the Benefit from Ensemble. PAKDD Zhi-Hua Zhou, Dan Wei, Gang Li, Honghua Dai
2004	—	`conf`	Progressive Principal Component Analysis. ISNN (1) Jun Liu, Songcan Chen, Zhi-Hua Zhou
2004	J	`jnl`	Projection functions for eye detection. Pattern Recognit. Zhi-Hua Zhou, Xin Geng
2004	—	`conf`	Robust Face Recognition from a Single Training Image per Person with Kernel-Based SOM-Face. ISNN (1) Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang
2004	J	`jnl`	Rule Extraction: Using Neural Networks or for Neural Networks? J. Comput. Sci. Technol. Zhi-Hua Zhou
2004	J	`jnl`	SOM Ensemble-Based Image Segmentation. Neural Process. Lett. Yuan Jiang, Zhi-Hua Zhou
2004	—	`conf`	Unified Locally Linear Embedding and Linear Discriminant Analysis Algorithm (ULLELDA) for Face Recognition. SINOBIOMETRICS Junping Zhang, Huanxing Shen, Zhi-Hua Zhou
2003	B	`conf`	A Novel Bag Generator for Image Database Retrieval With Multi-Instance Learning Techniques. ICTAI Zhi-Hua Zhou, Min-Ling Zhang, Ke-Jia Chen
2003	J	`jnl`	Efficient face candidates selector for face detection. Pattern Recognit. Jianxin Wu, Zhi-Hua Zhou
2003	—	`conf`	Ensembles of Multi-instance Learners. ECML Zhi-Hua Zhou, Min-Ling Zhang
2003	J	`jnl`	Evolving Fault-Tolerant Neural Networks. Neural Comput. Appl. Zhi-Hua Zhou, Shifu Chen
2003	J	`jnl`	Extracting symbolic rules from trained neural network ensembles. AI Commun. Zhi-Hua Zhou, Yuan Jiang, Shifu Chen
2003	J	`jnl`	Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble. IEEE Trans. Inf. Technol. Biomed. Zhi-Hua Zhou, Yuan Jiang
2003	—	`conf`	SOM Based Image Segmentation. RSFDGrC Yuan Jiang, Kejia Chen, Zhi-Hua Zhou
2003	—	`conf`	Selective Ensemble of Decision Trees. RSFDGrC Zhi-Hua Zhou, Wei Tang
2003	J	`jnl`	Three perspectives of data mining. Artif. Intell. Zhi-Hua Zhou
2003	J	`jnl`	Virtual Creatures Controlled by Developmental and Evolutionary CPM Neural Networks. Intell. Autom. Soft Comput. Zhi-Hua Zhou, Xue-Hua Shen
2002	J	`jnl`	Artificial Neural Networks in Biomedicine - Paulo J.G. Lisboa, Emmanuel C. Ifeachor and Piotr S. Szczepaniak (Eds.), Springer-Verlag, London, 2000, ISBN 1-85233-005-8. Artif. Intell. Medicine Zhi-Hua Zhou
2002	J	`jnl`	Ensembling neural networks: Many could be better than all. Artif. Intell. Zhi-Hua Zhou, Jianxin Wu, Wei Tang
2002	J	`jnl`	Face recognition with one training image per person. Pattern Recognit. Lett. Jianxin Wu, Zhi-Hua Zhou
2002	J	`jnl`	Hybrid decision tree. Knowl. Based Syst. Zhi-Hua Zhou, Zhaoqian Chen
2002	J	`jnl`	Lung cancer cell identification based on artificial neural network ensembles. Artif. Intell. Medicine Zhi-Hua Zhou, Yuan Jiang, Yu-Bin Yang, Shifu Chen
2002	C	`conf`	The Application of Visualization and Neural Network Techniques in a Power Transformer Condition Monitoring System. IEA/AIE Zhi-Hua Zhou, Yuan Jiang, Xu-Ri Yin, Shifu Chen
2001	—	`conf`	An Approach for Data Filtering Based on Rough Set Theory. WAIM Xu-Ri Yin, Zhi-Hua Zhou, Ning Li, Shifu Chen
2001	J	`jnl`	Combining Regression Estimators: GA-Based Selective Neural Network Ensemble. Int. J. Comput. Intell. Appl. Zhi-Hua Zhou, Jianxin Wu, Wei Tang, Zhaoqian Chen
2001	A*	`conf`	Genetic Algorithm based Selective Neural Network Ensemble. IJCAI Zhi-Hua Zhou, Jianxin Wu, Yuan Jiang, Shifu Chen
2000	—	`conf`	A Statistics Based Approach for Extracting Priority Rules from Trained Neural Networks. IJCNN (3) Zhi-Hua Zhou, Shifu Chen, Zhaoqian Chen
2000	J	`jnl`	A general neural framework for classification rule mining. Int. J. Comput. Syst. Signals Zhi-Hua Zhou, Yuan Jiang, Shifu Chen
2000	J	`jnl`	FANNC: A Fast Adaptive Neural Network Classifier. Knowl. Inf. Syst. Zhi-Hua Zhou, Shifu Chen, Zhaoqian Chen
2000	B	`conf`	Pose Invariant Face Recognition. FG Fu Jie Huang, Tsuhan Chen, Zhi-Hua Zhou, Hong-Jiang Zhang
2000	—	`conf`	Using Neural Networks for Fault Diagnosis. IJCNN (5) Jia-Zhou He, Zhi-Hua Zhou, Xu-Ri Yin, Shifu Chen
1999	—	`conf`	FANRE: A Fast Adaptive Neural Regression Estimator. Australian Joint Conference on Artificial Intelligence Zhi-Hua Zhou, Shifu Chen, Zhaoqian Chen
1999	B	`conf`	Mining Typhoon Knowledge with Neural Networks. ICTAI Zhi-Hua Zhou, Shifu Chen, Zhaoqian Chen