Zhi-Hua Zhou - researchr alias

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Viewing Publication 1 - 100 from 533

2024

Learning Only When It Matters: Cost-Aware Long-Tailed ClassificationYu-Cheng He, Yao-Xiang Ding, Han-Jia Ye, Zhi-Hua Zhou. AAAI 2024: 12411-12420 [doi]

Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function ApproximationLong-Fei Li, Peng Zhao 0006, Zhi-Hua Zhou. AAAI 2024: 13572-13580 [doi]

Towards Making Learnware Specification and Market EvolvableJian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou. AAAI 2024: 13909-13917 [doi]

Theoretical Exploration of Flexible Transmitter ModelJin-Hui Wu, Shao-Qun Zhang, Yuan Jiang 0001, Zhi-Hua Zhou. tnn, 35(3):3674-3688, March 2024. [doi]

Safe Abductive Learning in the Presence of Inaccurate RulesXiaowen Yang, Jie-Jing Shao, Wei-Wei Tu, Yu-Feng Li, Wang-Zhou Dai, Zhi-Hua Zhou. AAAI 2024: 16361-16369 [doi]

Exploratory machine learning with unknown unknownsPeng Zhao, Jia-Wei Shan, Yu-Jie Zhang, Zhi-Hua Zhou. ai, 327:104059, February 2024. [doi]

2023

Stochastic Approximation Approaches to Group Distributionally Robust OptimizationLijun Zhang 0005, Peng Zhao 0006, Zhen-Hua Zhuang, Tianbao Yang, Zhi-Hua Zhou. nips 2023: [doi]

Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation LearningXin-Qiang Cai, Yao-Xiang Ding, Zi-Xuan Chen, Yuan Jiang 0001, Masashi Sugiyama, Zhi-Hua Zhou. iclr 2023: [doi]

Identifying Useful Learnwares for Heterogeneous Label SpacesLan-Zhe Guo, Zhi Zhou 0007, Yu-Feng Li, Zhi-Hua Zhou. icml 2023: 12122-12131 [doi]

Enabling Knowledge Refinement upon New Concepts in Abductive LearningYu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang 0001, Zhi-Hua Zhou. AAAI 2023: 7928-7935 [doi]

Enabling Abductive Learning to Exploit Knowledge GraphYu-Xuan Huang, Zequn Sun, Guangyao Li, Xiaobin Tian, Wang-Zhou Dai, Wei Hu 0007, Yuan Jiang, Zhi-Hua Zhou. IJCAI 2023: 3839-3847 [doi]

AliExpress Learning-to-Rank: Maximizing Online Model Performance Without Going OnlineGuangda Huzhang, Zhen-Jia Pang, Yongqing Gao, Yawen Liu, Weijie Shen, Wen-Ji Zhou, Qianying Lin, Qing Da, Anxiang Zeng, Han Yu 0001, Yang Yu, Zhi-Hua Zhou. tkde, 35(2):1214-1226, 2023. [doi]

Dynamic Regret of Adversarial Linear Mixture MDPsLong-Fei Li, Peng Zhao 0006, Zhi-Hua Zhou. nips 2023: [doi]

Handling New Class in Online Label ShiftYuyang Qian, Yong Bai, Zhen-yu Zhang, Peng Zhao, Zhi-Hua Zhou. icdm 2023: 1283-1288 [doi]

Rehearsal Learning for Avoiding Undesired FutureTian Qin, Tian-Zuo Wang, Zhi-Hua Zhou. nips 2023: [doi]

Learning Causal Structure on Mixed Data with Tree-Structured Functional ModelsTian Qin, Tian-Zuo Wang, Zhi-Hua Zhou. sdm 2023: 613-621 [doi]

Beyond Performative Prediction: Open-environment Learning with Presence of CorruptionsJia-Wei Shan, Peng Zhao, Zhi-Hua Zhou. aistats 2023: 7981-7998 [doi]

Handling Learnwares Developed from Heterogeneous Feature Spaces without Auxiliary DataPeng Tan, Zhi-Hao Tan, Yuan Jiang 0001, Zhi-Hua Zhou. IJCAI 2023: 4235-4243 [doi]

Isolation Distributional Kernel: A New Tool for Point and Group Anomaly DetectionsKai Ming Ting, Bi-Cun Xu, Takashi Washio, Zhi-Hua Zhou. tkde, 35(3):2697-2710, March 2023. [doi]

Estimating Possible Causal Effects with Latent Variables via AdjustmentTian-Zuo Wang, Tian Qin, Zhi-Hua Zhou. icml 2023: 36308-36335 [doi]

Sound and complete causal identification with latent variables given local background knowledgeTian-Zuo Wang, Tian Qin, Zhi-Hua Zhou. ai, 322:103964, September 2023. [doi]

Revisiting Weighted Strategy for Non-stationary Parametric BanditsJing Wang, Peng Zhao 0006, Zhi-Hua Zhou. aistats 2023: 7913-7942 [doi]

Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient DescentJin-Hui Wu, Shao-Qun Zhang, Yuan Jiang 0001, Zhi-Hua Zhou. nips 2023: [doi]

Model Reuse With Reduced Kernel Mean Embedding SpecificationXi-Zhu Wu, Wenkai Xu, Song Liu, Zhi-Hua Zhou. tkde, 35(1):699-710, 2023. [doi]

On the Gini-impurity Preservation For Privacy Random ForestsXinran Xie, Man-Jie Yuan, Xuetong Bai, Wei Gao, Zhi-Hua Zhou. nips 2023: [doi]

Identifying Helpful Learnwares Without Examining the Whole MarketYi Xie, Zhi-Hao Tan, Yuan Jiang 0001, Zhi-Hua Zhou. ecai 2023: 2752-2759 [doi]

Fast Rates in Time-Varying Strongly Monotone GamesYu-Hu Yan, Peng Zhao 0006, Zhi-Hua Zhou. icml 2023: 39138-39164 [doi]

Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble ApproachYu-Hu Yan, Peng Zhao, Zhi-Hua Zhou. nips 2023: [doi]

Learning to Coordinate with AnyoneLei Yuan, Lihe Li, Ziqian Zhang, Feng Chen, Tianyi Zhang, Cong Guan, Yang Yu 0001, Zhi-Hua Zhou. dai2 2023: [doi]

Non-stationary Online Learning with Memory and Non-stochastic ControlPeng Zhao, Yu-Hu Yan, Yu-Xiang Wang, Zhi-Hua Zhou. jmlr, 24, 2023. [doi]

On the Consistency Rate of Decision Tree Learning AlgorithmsQin-Cheng Zheng, Shen-Huan Lyu, Shao-Qun Zhang, Yuan Jiang 0001, Zhi-Hua Zhou. aistats 2023: 7824-7848 [doi]

2022

Result diversification by multi-objective evolutionary algorithms with theoretical guaranteesChao Qian 0001, Dan-Xuan Liu, Zhi-Hua Zhou. ai, 309:103737, 2022. [doi]

Efficient Methods for Non-stationary Online LearningPeng Zhao 0006, Yan-Feng Xie, Lijun Zhang 0005, Zhi-Hua Zhou. nips 2022: [doi]

Non-stationary Online Learning with Memory and Non-stochastic ControlPeng Zhao 0006, Yu-Xiang Wang 0003, Zhi-Hua Zhou. aistats 2022: 2101-2133 [doi]

Dynamic Regret of Online Markov Decision ProcessesPeng Zhao 0006, Longfei Li, Zhi-Hua Zhou. icml 2022: 26865-26894 [doi]

Towards convergence rate analysis of random forests for classificationWei Gao 0008, Fan Xu, Zhi-Hua Zhou. ai, 313:103788, 2022. [doi]

Adapting to Online Label Shift with Provable GuaranteesYong Bai, Yu-Jie Zhang, Peng Zhao 0006, Masashi Sugiyama, Zhi-Hua Zhou. nips 2022: [doi]

Anomaly Guided Policy Learning from Imperfect DemonstrationsZi-Xuan Chen, Xin-Qiang Cai, Yuan Jiang, Zhi-Hua Zhou. atal 2022: 244-252 [doi]

Pre-Trained Model Reusability Evaluation for Small-Data Transfer LearningYao-Xiang Ding, Xi-Zhu Wu, Kun Zhou, Zhi-Hua Zhou. nips 2022: [doi]

Fast Provably Robust Decision Trees and BoostingJun-Qi Guo, Ming-Zhuo Teng, Wei Gao, Zhi-Hua Zhou. icml 2022: 8127-8144 [doi]

Analysis and Demonstration of First Cross-Support Interferometry Tracking in China Mars MissionSongtao Han, Haijun Man, Mei Wang, Zhi-Hua Zhou, Jianfeng Cao, Wei Gao, Lue Chen, Jinsong Ping. remotesensing, 14(16):4117, 2022. [doi]

Prediction With Unpredictable Feature EvolutionBo-Jian Hou, Lijun Zhang 0005, Zhi-Hua Zhou. tnn, 33(10):5706-5715, 2022. [doi]

Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear BanditsHaipeng Luo, Mengxiao Zhang, Peng Zhao 0006, Zhi-Hua Zhou. colt 2022: 3635-3684 [doi]

Depth is More Powerful than Width with Prediction Concatenation in Deep ForestShen-Huan Lyu, Yi-Xiao He, Zhi-Hua Zhou. nips 2022: [doi]

Improving generalization of deep neural networks by leveraging margin distributionShen-Huan Lyu, Lu Wang, Zhi-Hua Zhou. NN, 151:48-60, 2022. [doi]

Improving Deep Forest by ScreeningMing Pang, Kai Ming Ting, Peng Zhao 0006, Zhi-Hua Zhou. tkde, 34(9):4298-4312, 2022. [doi]

Real-Valued Backpropagation is Unsuitable for Complex-Valued Neural NetworksZhi-Hao Tan, Yi Xie, Yuan Jiang 0001, Zhi-Hua Zhou. nips 2022: [doi]

Sound and Complete Causal Identification with Latent Variables Given Local Background KnowledgeTian-Zuo Wang, Tian Qin, Zhi-Hua Zhou. nips 2022: [doi]

Margin Distribution AnalysisJun Wang, Zhi-Hua Zhou. tnn, 33(8):3948-3960, 2022. [doi]

Multi-objective Evolutionary Ensemble Pruning Guided by Margin DistributionYu-Chang Wu, Yi-Xiao He, Chao Qian 0001, Zhi-Hua Zhou. ppsn 2022: 427-441 [doi]

Theoretically Provable Spiking Neural NetworksShao-Qun Zhang, Zhi-Hua Zhou. nips 2022: [doi]

Learning From Incomplete and Inaccurate SupervisionZhen-yu Zhang, Peng Zhao 0006, Yuan Jiang 0001, Zhi-Hua Zhou. tkde, 34(12):5854-5868, 2022. [doi]

Towards understanding theoretical advantages of complex-reaction networksShao-Qun Zhang, Wei Gao 0008, Zhi-Hua Zhou. NN, 151:80-93, 2022. [doi]

No-Regret Learning in Time-Varying Zero-Sum GamesMengxiao Zhang, Peng Zhao 0006, Haipeng Luo, Zhi-Hua Zhou. icml 2022: 26772-26808 [doi]

Adaptive Learning for Weakly Labeled StreamsZhen-yu Zhang, Yu-Yang Qian, Yu-Jie Zhang, Yuan Jiang, Zhi-Hua Zhou. kdd 2022: 2556-2564 [doi]

Rehearsal: learning from prediction to decisionZhi-Hua Zhou. fcsc, 16(1), February 2022. [doi]

2021

Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex FunctionsLijun Zhang 0005, Guanghui Wang 0006, Wei-Wei Tu, Wei Jiang, Zhi-Hua Zhou. nips 2021: 24968-24980 [doi]

Exploratory Machine Learning with Unknown UnknownsPeng Zhao 0006, Yu-Jie Zhang, Zhi-Hua Zhou. AAAI 2021: 10999-11006 [doi]

Distribution-Free One-Pass LearningPeng Zhao 0006, Xinqiang Wang, Siyu Xie, Lei Guo 0001, Zhi-Hua Zhou. tkde, 33(3):951-963, 2021. [doi]

Bandit Convex Optimization in Non-stationary EnvironmentsPeng Zhao 0006, Guanghui Wang, Lijun Zhang 0005, Zhi-Hua Zhou. jmlr, 22, 2021. [doi]

Imitation Learning from Pixel-Level Demonstrations by HashRewardXin-Qiang Cai, Yao-Xiang Ding, Yuan Jiang 0001, Zhi-Hua Zhou. atal 2021: 279-287 [doi]

On the noise estimation statisticsWei Gao, Teng Zhang 0001, Bin-Bin Yang, Zhi-Hua Zhou. ai, 293:103451, 2021. [doi]

Storage Fit Learning with Feature Evolvable StreamsBo-Jian Hou, Yu-Hu Yan, Peng Zhao 0006, Zhi-Hua Zhou. AAAI 2021: 7729-7736 [doi]

Learning With Feature Evolvable StreamsBo-Jian Hou, Lijun Zhang 0005, Zhi-Hua Zhou. tkde, 33(6):2602-2615, 2021. [doi]

Towards Safe Weakly Supervised LearningYu-Feng Li, Lan-Zhe Guo, Zhi-Hua Zhou. pami, 43(1):334-346, 2021. [doi]

Budgeted Heterogeneous Treatment Effect EstimationTian Qin, Tian-Zuo Wang, Zhi-Hua Zhou. icml 2021: 8693-8702 [doi]

Actively Identifying Causal Effects with Latent Variables Given Only Response Variable ObservableTian-Zuo Wang, Zhi-Hua Zhou. nips 2021: 15007-15018 [doi]

Tac-Valuer: Knowledge-based Stroke Evaluation in Table TennisJiachen Wang, Dazhen Deng, Xiao Xie, Xinhuan Shu, Yu-Xuan Huang, Le-Wen Cai, Hui Zhang, Min-Ling Zhang, Zhi-Hua Zhou, Yingcai Wu. kdd 2021: 3688-3696 [doi]

Multi-Instance Learning With Emerging Novel ClassXiu-Shen Wei, Han-Jia Ye, Xin Mu, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou. tkde, 33(5):2109-2120, 2021. [doi]

Reconstruction-based Anomaly Detection with Completely Random ForestYi-Xuan Xu, Ming Pang, Ji Feng, Kai Ming Ting, Yuan Jiang, Zhi-Hua Zhou. sdm 2021: 127-135 [doi]

Heterogeneous Few-Shot Model Rectification With Semantic MappingHan-Jia Ye, De-Chuan Zhan, Yuan Jiang 0001, Zhi-Hua Zhou. pami, 43(11):3878-3891, 2021. [doi]

Towards Enabling Learnware to Handle Unseen JobsYu-Jie Zhang, Yu-Hu Yan, Peng Zhao 0006, Zhi-Hua Zhou. AAAI 2021: 10964-10972 [doi]

Flexible Transmitter NetworkShao-Qun Zhang, Zhi-Hua Zhou. neco, 33(11):2951-2970, 2021. [doi]

Bifurcation Spiking Neural NetworkShao-Qun Zhang, Zhao-Yu Zhang, Zhi-Hua Zhou. jmlr, 22, 2021. [doi]

LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing ValuesZhao-Yu Zhang, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou. icdm 2021: 1511-1516 [doi]

Machine LearningZhi-Hua Zhou. Springer, 2021. [doi]

Abductive LearningZhi-Hua Zhou, Yu-Xuan Huang. In Hitzler Pascal, Sarker Md Kamruzzaman, editors, Neuro-Symbolic Artificial Intelligence: The State of the Art. Volume 342 of Frontiers in Artificial Intelligence and Applications, pages 353-369, IOS Press, 2021. [doi]

Why over-parameterization of deep neural networks does not overfit?Zhi-Hua Zhou. chinaf, 64(1), 2021. [doi]

2020

Dynamic Regret of Convex and Smooth FunctionsPeng Zhao 0006, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou. nips 2020: [doi]

Boosting-Based Reliable Model ReuseYao-Xiang Ding, Zhi-Hua Zhou. acml 2020: 145-160 [doi]

Towards Convergence Rate Analysis of Random Forests for ClassificationWei Gao, Zhi-Hua Zhou. nips 2020: [doi]

Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled DataLan-Zhe Guo, Zhenyu Zhang, Yuan Jiang, Yu-Feng Li, Zhi-Hua Zhou. icml 2020: 3897-3906 [doi]

Learning With Interpretable Structure From Gated RNNBo-Jian Hou, Zhi-Hua Zhou. tnn, 31(7):2267-2279, 2020. [doi]

Semi-Supervised Abductive Learning and Its Application to Theft Judicial SentencingYu-Xuan Huang, Wang-Zhou Dai, Jian Yang, Le-Wen Cai, Shaofen Cheng, Ruizhang Huang, Yu-Feng Li, Zhi-Hua Zhou. icdm 2020: 1070-1075 [doi]

Control Flow Graph Embedding Based on Multi-Instance Decomposition for Bug LocalizationXuan Huo, Ming Li, Zhi-Hua Zhou. AAAI 2020: 4223-4230 [doi]

Multi-label optimal margin distribution machineZhi-Hao Tan, Peng Tan, Yuan Jiang 0001, Zhi-Hua Zhou. ml, 109(3):623-642, 2020. [doi]

Isolation Distributional Kernel: A New Tool for Kernel based Anomaly DetectionKai Ming Ting, Bi-Cun Xu, Takashi Washio, Zhi-Hua Zhou. kdd 2020: 198-206 [doi]

Cost-effectively Identifying Causal Effects When Only Response Variable is ObservableTian-Zuo Wang, Xi-Zhu Wu, Sheng-Jun Huang, Zhi-Hua Zhou. icml 2020: 10060-10069 [doi]

Differentially Private Learning with Small Public DataJun Wang, Zhi-Hua Zhou. AAAI 2020: 6219-6226 [doi]

Robust Multi-Label Learning with PRO LossMiao Xu, Yu-Feng Li, Zhi-Hua Zhou. tkde, 32(8):1610-1624, 2020. [doi]

Multi-Label Learning with Deep ForestLiang Yang, Xi-Zhu Wu, Yuan Jiang, Zhi-Hua Zhou. ecai 2020: 1634-1641 [doi]

Harmonic Recurrent Process for Time Series ForecastingShao-Qun Zhang, Zhi-Hua Zhou. ecai 2020: 1714-1721 [doi]

An Unbiased Risk Estimator for Learning with Augmented ClassesYu-Jie Zhang, Peng Zhao 0006, Lanjihong Ma, Zhi-Hua Zhou. nips 2020: [doi]

Optimal Margin Distribution MachineTeng Zhang, Zhi-Hua Zhou. tkde, 32(6):1143-1156, 2020. [doi]

A Simple Online Algorithm for Competing with Dynamic ComparatorsYu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou. uai 2020: 175 [doi]

Learning with Feature and Distribution Evolvable StreamsZhenyu Zhang, Peng Zhao 0006, Yuan Jiang, Zhi-Hua Zhou. icml 2020: 11317-11327 [doi]

Handling concept drift via model reusePeng Zhao, Le-Wen Cai, Zhi-Hua Zhou. ml, 109(3):533-568, 2020. [doi]

Bandit Convex Optimization in Non-stationary EnvironmentsPeng Zhao, Guanghui Wang, Lijun Zhang, Zhi-Hua Zhou. aistats 2020: 1508-1518 [doi]

Can Deep Learning Only Be Neural Networks?Zhi-Hua Zhou. wsdm 2020: 6 [doi]

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