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Zhi-Hua Zhou
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- affiliation: Nanjing University, State Key Laboratory for Novel Software Technology, China
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2020 – today
- 2025
- [j215]Zi-Yuan Wu, Wei Guo, Wei Zhou, Han-Jia Ye, Yuan Jiang, Houxuan Li, Zhi-Hua Zhou:
Abductive multi-instance multi-label learning for periodontal disease classification with prior domain knowledge. Medical Image Anal. 101: 103452 (2025) - 2024
- [j214]Peng Zhao, Jia-Wei Shan, Yu-Jie Zhang, Zhi-Hua Zhou:
Exploratory machine learning with unknown unknowns. Artif. Intell. 327: 104059 (2024) - [j213]Zhi-Hua Zhou, Zhi-Hao Tan:
Learnware: small models do big. Sci. China Inf. Sci. 67(1) (2024) - [j212]Yi-Xiao He
, Dan-Xuan Liu, Shen-Huan Lyu
, Chao Qian, Zhi-Hua Zhou:
Multi-class imbalance problem: A multi-objective solution. Inf. Sci. 680: 121156 (2024) - [j211]Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou:
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization. J. Mach. Learn. Res. 25: 98:1-98:52 (2024) - [j210]Shao-Qun Zhang, Jia-Yi Chen, Jin-Hui Wu, Gao Zhang, Huan Xiong, Bin Gu, Zhi-Hua Zhou:
On the Intrinsic Structures of Spiking Neural Networks. J. Mach. Learn. Res. 25: 194:1-194:74 (2024) - [j209]Peng Tan
, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou:
Towards enabling learnware to handle heterogeneous feature spaces. Mach. Learn. 113(4): 1839-1860 (2024) - [j208]Yi-Xiao He, Yu-Chang Wu, Chao Qian, Zhi-Hua Zhou:
Margin distribution and structural diversity guided ensemble pruning. Mach. Learn. 113(6): 3545-3567 (2024) - [j207]Tian Qin, Long-Fei Li, Tian-Zuo Wang, Zhi-Hua Zhou:
Tracking treatment effect heterogeneity in evolving environments. Mach. Learn. 113(6): 3653-3673 (2024) - [j206]Zheng Xie
, Yu Liu
, Hao-Yuan He
, Ming Li
, Zhi-Hua Zhou
:
Weakly Supervised AUC Optimization: A Unified Partial AUC Approach. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 4780-4795 (2024) - [j205]Yuyang Qian
, Zhen-Yu Zhang
, Peng Zhao
, Zhi-Hua Zhou
:
Learning with Asynchronous Labels. ACM Trans. Knowl. Discov. Data 18(8): 186:1-186:27 (2024) - [j204]Jin-Hui Wu
, Shao-Qun Zhang
, Yuan Jiang, Zhi-Hua Zhou
:
Theoretical Exploration of Flexible Transmitter Model. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3674-3688 (2024) - [c343]Yu-Cheng He, Yao-Xiang Ding, Han-Jia Ye, Zhi-Hua Zhou:
Learning Only When It Matters: Cost-Aware Long-Tailed Classification. AAAI 2024: 12411-12420 - [c342]Long-Fei Li, Peng Zhao, Zhi-Hua Zhou:
Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function Approximation. AAAI 2024: 13572-13580 - [c341]Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou:
Towards Making Learnware Specification and Market Evolvable. AAAI 2024: 13909-13917 - [c340]Xiaowen Yang, Jie-Jing Shao, Wei-Wei Tu, Yufeng Li, Wang-Zhou Dai, Zhi-Hua Zhou:
Safe Abductive Learning in the Presence of Inaccurate Rules. AAAI 2024: 16361-16369 - [c339]Long-Fei Li, Peng Zhao, Zhi-Hua Zhou:
Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition. AISTATS 2024: 3061-3069 - [c338]Chengxing Jia, Chenxiao Gao, Hao Yin, Fuxiang Zhang, Xiong-Hui Chen, Tian Xu, Lei Yuan, Zongzhang Zhang, Zhi-Hua Zhou, Yang Yu:
Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning. ICLR 2024 - [c337]Yuyang Qian, Peng Zhao, Yu-Jie Zhang, Masashi Sugiyama, Zhi-Hua Zhou:
Efficient Non-stationary Online Learning by Wavelets with Applications to Online Distribution Shift Adaptation. ICML 2024 - [c336]Tian-Zuo Wang, Wen-Bo Du, Zhi-Hua Zhou:
An Efficient Maximal Ancestral Graph Listing Algorithm. ICML 2024 - [c335]Jing Wang, Miao Yu, Peng Zhao, Zhi-Hua Zhou:
Learning with Adaptive Resource Allocation. ICML 2024 - [c334]Xiaowen Yang, Wenda Wei, Jie-Jing Shao, Yufeng Li, Zhi-Hua Zhou:
Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts. ICML 2024 - [c333]Lanjihong Ma
, Zhen-Yu Zhang
, Yao-Xiang Ding
, Zhi-Hua Zhou
:
Handling Varied Objectives by Online Decision Making. KDD 2024: 2130-2140 - [c332]Zhi-Hao Tan
, Jian-Dong Liu
, Xiao-Dong Bi
, Peng Tan
, Qin-Cheng Zheng
, Hai-Tian Liu
, Yi Xie
, Xiao-Chuan Zou
, Yang Yu
, Zhi-Hua Zhou
:
Beimingwu: A Learnware Dock System. KDD 2024: 5773-5782 - [c331]Hao-Yi Lei, Zhi-Hao Tan, Zhi-Hua Zhou:
On the Ability of Developers' Training Data Preservation of Learnware. NeurIPS 2024 - [c330]Long-Fei Li, Peng Zhao, Zhi-Hua Zhou:
Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs. NeurIPS 2024 - [c329]Long-Fei Li, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou:
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation. NeurIPS 2024 - [c328]Peng Tan, Hai-Tian Liu, Zhi-Hao Tan, Zhi-Hua Zhou:
Handling Learnwares from Heterogeneous Feature Spaces with Explicit Label Exploitation. NeurIPS 2024 - [c327]Yan-Feng Xie, Peng Zhao, Zhi-Hua Zhou:
Gradient-Variation Online Learning under Generalized Smoothness. NeurIPS 2024 - [c326]Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou:
A Simple and Optimal Approach for Universal Online Learning with Gradient Variations. NeurIPS 2024 - [i111]Zhi-Hao Tan, Jian-Dong Liu, Xiao-Dong Bi, Peng Tan, Qin-Cheng Zheng, Hai-Tian Liu, Yi Xie, Xiao-Chuan Zou, Yang Yu, Zhi-Hua Zhou:
Beimingwu: A Learnware Dock System. CoRR abs/2401.14427 (2024) - [i110]Long-Fei Li, Peng Zhao, Zhi-Hua Zhou:
Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition. CoRR abs/2403.04568 (2024) - [i109]Long-Fei Li, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou:
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation. CoRR abs/2405.17061 (2024) - [i108]Tian-Zuo Wang, Lue Tao, Zhi-Hua Zhou:
New Rules for Causal Identification with Background Knowledge. CoRR abs/2407.15259 (2024) - [i107]Yan-Feng Xie, Peng Zhao, Zhi-Hua Zhou:
Gradient-Variation Online Learning under Generalized Smoothness. CoRR abs/2408.09074 (2024) - [i106]Long-Fei Li, Peng Zhao, Zhi-Hua Zhou:
Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs. CoRR abs/2411.03107 (2024) - [i105]Zhilong Zhang, Ruifeng Chen, Junyin Ye, Yihao Sun, Pengyuan Wang, Jingcheng Pang, Kaiyuan Li, Tianshuo Liu, Haoxin Lin, Yang Yu, Zhi-Hua Zhou:
WHALE: Towards Generalizable and Scalable World Models for Embodied Decision-making. CoRR abs/2411.05619 (2024) - [i104]Wen-Chao Hu, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou:
Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection. CoRR abs/2412.08457 (2024) - 2023
- [j203]Tian-Zuo Wang, Tian Qin, Zhi-Hua Zhou:
Sound and complete causal identification with latent variables given local background knowledge. Artif. Intell. 322: 103964 (2023) - [j202]Peng Zhao, Yu-Hu Yan, Yu-Xiang Wang, Zhi-Hua Zhou:
Non-stationary Online Learning with Memory and Non-stochastic Control. J. Mach. Learn. Res. 24: 206:1-206:70 (2023) - [j201]Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou:
Online Non-stochastic Control with Partial Feedback. J. Mach. Learn. Res. 24: 273:1-273:50 (2023) - [j200]Xi-Zhu Wu
, Wenkai Xu
, Song Liu, Zhi-Hua Zhou
:
Model Reuse With Reduced Kernel Mean Embedding Specification. IEEE Trans. Knowl. Data Eng. 35(1): 699-710 (2023) - [j199]Guangda Huzhang
, Zhen-Jia Pang, Yongqing Gao, Yawen Liu, Weijie Shen, Wen-Ji Zhou
, Qianying Lin, Qing Da, Anxiang Zeng
, Han Yu
, Yang Yu
, Zhi-Hua Zhou
:
AliExpress Learning-to-Rank: Maximizing Online Model Performance Without Going Online. IEEE Trans. Knowl. Data Eng. 35(2): 1214-1226 (2023) - [j198]Kai Ming Ting, Bi-Cun Xu
, Takashi Washio
, Zhi-Hua Zhou:
Isolation Distributional Kernel: A New Tool for Point and Group Anomaly Detections. IEEE Trans. Knowl. Data Eng. 35(3): 2697-2710 (2023) - [c325]Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou:
Enabling Knowledge Refinement upon New Concepts in Abductive Learning. AAAI 2023: 7928-7935 - [c324]Qin-Cheng Zheng, Shen-Huan Lyu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou:
On the Consistency Rate of Decision Tree Learning Algorithms. AISTATS 2023: 7824-7848 - [c323]Jing Wang, Peng Zhao, Zhi-Hua Zhou:
Revisiting Weighted Strategy for Non-stationary Parametric Bandits. AISTATS 2023: 7913-7942 - [c322]Jia-Wei Shan, Peng Zhao, Zhi-Hua Zhou:
Beyond Performative Prediction: Open-environment Learning with Presence of Corruptions. AISTATS 2023: 7981-7998 - [c321]Lei Yuan
, Lihe Li
, Ziqian Zhang
, Feng Chen
, Tianyi Zhang
, Cong Guan
, Yang Yu, Zhi-Hua Zhou
:
Learning to Coordinate with Anyone. DAI 2023: 4:1-4:9 - [c320]Yi Xie, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou:
Identifying Helpful Learnwares Without Examining the Whole Market. ECAI 2023: 2752-2759 - [c319]Yuyang Qian
, Yong Bai, Zhen-Yu Zhang, Peng Zhao, Zhi-Hua Zhou:
Handling New Class in Online Label Shift. ICDM 2023: 1283-1288 - [c318]Xin-Qiang Cai, Yao-Xiang Ding, Zi-Xuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou:
Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning. ICLR 2023 - [c317]Lan-Zhe Guo, Zhi Zhou
, Yufeng Li, Zhi-Hua Zhou:
Identifying Useful Learnwares for Heterogeneous Label Spaces. ICML 2023: 12122-12131 - [c316]Tian-Zuo Wang, Tian Qin, Zhi-Hua Zhou:
Estimating Possible Causal Effects with Latent Variables via Adjustment. ICML 2023: 36308-36335 - [c315]Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou:
Fast Rates in Time-Varying Strongly Monotone Games. ICML 2023: 39138-39164 - [c314]Yu-Xuan Huang, Zequn Sun, Guangyao Li, Xiaobin Tian, Wang-Zhou Dai, Wei Hu, Yuan Jiang, Zhi-Hua Zhou:
Enabling Abductive Learning to Exploit Knowledge Graph. IJCAI 2023: 3839-3847 - [c313]Peng Tan, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou:
Handling Learnwares Developed from Heterogeneous Feature Spaces without Auxiliary Data. IJCAI 2023: 4235-4243 - [c312]Lijun Zhang, Peng Zhao, Zhen-Hua Zhuang, Tianbao Yang, Zhi-Hua Zhou:
Stochastic Approximation Approaches to Group Distributionally Robust Optimization. NeurIPS 2023 - [c311]Long-Fei Li, Peng Zhao, Zhi-Hua Zhou:
Dynamic Regret of Adversarial Linear Mixture MDPs. NeurIPS 2023 - [c310]Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou:
Rehearsal Learning for Avoiding Undesired Future. NeurIPS 2023 - [c309]Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou:
Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent. NeurIPS 2023 - [c308]Xinran Xie, Man-Jie Yuan, Xuetong Bai, Wei Gao, Zhi-Hua Zhou:
On the Gini-impurity Preservation For Privacy Random Forests. NeurIPS 2023 - [c307]Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou:
Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble Approach. NeurIPS 2023 - [c306]Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou:
Learning Causal Structure on Mixed Data with Tree-Structured Functional Models. SDM 2023: 613-621 - [e28]Shashi Shekhar, Zhi-Hua Zhou, Yao-Yi Chiang, Gregor Stiglic:
Proceedings of the 2023 SIAM International Conference on Data Mining, SDM 2023, Minneapolis-St. Paul Twin Cities, MN, USA, April 27-29, 2023. SIAM 2023, ISBN 978-1-61197-765-3 [contents] - [i103]Lijun Zhang, Peng Zhao, Tianbao Yang, Zhi-Hua Zhou:
Stochastic Approximation Approaches to Group Distributionally Robust Optimization. CoRR abs/2302.09267 (2023) - [i102]Jing Wang, Peng Zhao, Zhi-Hua Zhou:
Revisiting Weighted Strategy for Non-stationary Parametric Bandits. CoRR abs/2303.02691 (2023) - [i101]Zhi-Hua Zhou:
Stream Efficient Learning. CoRR abs/2305.02217 (2023) - [i100]Zheng Xie, Yu Liu, Hao-Yuan He, Ming Li, Zhi-Hua Zhou:
Weakly Supervised AUC Optimization: A Unified Partial AUC Approach. CoRR abs/2305.14258 (2023) - [i99]Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou:
Universal Online Learning with Gradual Variations: A Multi-layer Online Ensemble Approach. CoRR abs/2307.08360 (2023) - [i98]Peng Zhao, Yan-Feng Xie, Lijun Zhang, Zhi-Hua Zhou:
Efficient Methods for Non-stationary Online Learning. CoRR abs/2309.08911 (2023) - [i97]Lei Yuan, Lihe Li, Ziqian Zhang, Feng Chen, Tianyi Zhang, Cong Guan, Yang Yu, Zhi-Hua Zhou:
Learning to Coordinate with Anyone. CoRR abs/2309.12633 (2023) - 2022
- [j197]Chao Qian, Dan-Xuan Liu, Zhi-Hua Zhou:
Result diversification by multi-objective evolutionary algorithms with theoretical guarantees. Artif. Intell. 309: 103737 (2022) - [j196]Wei Gao, Fan Xu
, Zhi-Hua Zhou:
Towards convergence rate analysis of random forests for classification. Artif. Intell. 313: 103788 (2022) - [j195]Zhi-Hua Zhou:
Rehearsal: learning from prediction to decision. Frontiers Comput. Sci. 16(1) (2022) - [j194]Shen-Huan Lyu
, Lu Wang
, Zhi-Hua Zhou:
Improving generalization of deep neural networks by leveraging margin distribution. Neural Networks 151: 48-60 (2022) - [j193]Shao-Qun Zhang
, Wei Gao, Zhi-Hua Zhou:
Towards understanding theoretical advantages of complex-reaction networks. Neural Networks 151: 80-93 (2022) - [j192]Songtao Han, Haijun Man, Mei Wang, Zhi-Hua Zhou, Jianfeng Cao
, Wei Gao, Lue Chen, Jinsong Ping:
Analysis and Demonstration of First Cross-Support Interferometry Tracking in China Mars Mission. Remote. Sens. 14(16): 4117 (2022) - [j191]Ming Pang
, Kai Ming Ting, Peng Zhao
, Zhi-Hua Zhou
:
Improving Deep Forest by Screening. IEEE Trans. Knowl. Data Eng. 34(9): 4298-4312 (2022) - [j190]Zhen-Yu Zhang
, Peng Zhao
, Yuan Jiang, Zhi-Hua Zhou:
Learning From Incomplete and Inaccurate Supervision. IEEE Trans. Knowl. Data Eng. 34(12): 5854-5868 (2022) - [j189]Jun Wang
, Zhi-Hua Zhou:
Margin Distribution Analysis. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3948-3960 (2022) - [j188]Bo-Jian Hou
, Lijun Zhang
, Zhi-Hua Zhou
:
Prediction With Unpredictable Feature Evolution. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5706-5715 (2022) - [c305]Peng Zhao, Yu-Xiang Wang, Zhi-Hua Zhou:
Non-stationary Online Learning with Memory and Non-stochastic Control. AISTATS 2022: 2101-2133 - [c304]Zi-Xuan Chen, Xin-Qiang Cai, Yuan Jiang, Zhi-Hua Zhou:
Anomaly Guided Policy Learning from Imperfect Demonstrations. AAMAS 2022: 244-252 - [c303]Haipeng Luo, Mengxiao Zhang, Peng Zhao, Zhi-Hua Zhou:
Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits. COLT 2022: 3635-3684 - [c302]Jun-Qi Guo, Ming-Zhuo Teng, Wei Gao, Zhi-Hua Zhou:
Fast Provably Robust Decision Trees and Boosting. ICML 2022: 8127-8144 - [c301]Mengxiao Zhang, Peng Zhao, Haipeng Luo, Zhi-Hua Zhou:
No-Regret Learning in Time-Varying Zero-Sum Games. ICML 2022: 26772-26808 - [c300]Peng Zhao, Longfei Li, Zhi-Hua Zhou:
Dynamic Regret of Online Markov Decision Processes. ICML 2022: 26865-26894 - [c299]Zhen-Yu Zhang, Yuyang Qian
, Yu-Jie Zhang, Yuan Jiang, Zhi-Hua Zhou:
Adaptive Learning for Weakly Labeled Streams. KDD 2022: 2556-2564 - [c298]Peng Zhao, Yan-Feng Xie, Lijun Zhang, Zhi-Hua Zhou:
Efficient Methods for Non-stationary Online Learning. NeurIPS 2022 - [c297]Yong Bai, Yu-Jie Zhang, Peng Zhao, Masashi Sugiyama, Zhi-Hua Zhou:
Adapting to Online Label Shift with Provable Guarantees. NeurIPS 2022 - [c296]Yao-Xiang Ding, Xi-Zhu Wu, Kun Zhou, Zhi-Hua Zhou:
Pre-Trained Model Reusability Evaluation for Small-Data Transfer Learning. NeurIPS 2022 - [c295]Shen-Huan Lyu, Yi-Xiao He, Zhi-Hua Zhou:
Depth is More Powerful than Width with Prediction Concatenation in Deep Forest. NeurIPS 2022 - [c294]Zhi-Hao Tan, Yi Xie, Yuan Jiang, Zhi-Hua Zhou:
Real-Valued Backpropagation is Unsuitable for Complex-Valued Neural Networks. NeurIPS 2022 - [c293]Tian-Zuo Wang, Tian Qin, Zhi-Hua Zhou:
Sound and Complete Causal Identification with Latent Variables Given Local Background Knowledge. NeurIPS 2022 - [c292]Shao-Qun Zhang, Zhi-Hua Zhou:
Theoretically Provable Spiking Neural Networks. NeurIPS 2022 - [c291]Yu-Chang Wu, Yi-Xiao He, Chao Qian, Zhi-Hua Zhou:
Multi-objective Evolutionary Ensemble Pruning Guided by Margin Distribution. PPSN (1) 2022: 427-441 - [e27]Arindam Banerjee, Zhi-Hua Zhou, Evangelos E. Papalexakis, Matteo Riondato
:
Proceedings of the 2022 SIAM International Conference on Data Mining, SDM 2022, Alexandria, VA, USA, April 28-30, 2022. SIAM 2022, ISBN 978-1-61197-717-2 [contents] - [i96]Mengxiao Zhang, Peng Zhao, Haipeng Luo, Zhi-Hua Zhou:
No-Regret Learning in Time-Varying Zero-Sum Games. CoRR abs/2201.12736 (2022) - [i95]Haipeng Luo, Mengxiao Zhang, Peng Zhao, Zhi-Hua Zhou:
Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits. CoRR abs/2202.06151 (2022) - [i94]Zhi-Hua Zhou:
Open Environment Machine Learning. CoRR abs/2206.00423 (2022) - [i93]Yong Bai, Yu-Jie Zhang, Peng Zhao, Masashi Sugiyama, Zhi-Hua Zhou:
Adapting to Online Label Shift with Provable Guarantees. CoRR abs/2207.02121 (2022) - [i92]Peng Zhao, Longfei Li, Zhi-Hua Zhou:
Dynamic Regret of Online Markov Decision Processes. CoRR abs/2208.12483 (2022) - [i91]Zhi-Hua Zhou, Zhi-Hao Tan:
Learnware: Small Models Do Big. CoRR abs/2210.03647 (2022) - 2021
- [b2]Zhi-Hua Zhou:
Machine Learning. Springer 2021, ISBN 978-981-15-1966-6, pp. 1-459 - [j187]Wei Gao, Teng Zhang, Bin-Bin Yang, Zhi-Hua Zhou:
On the noise estimation statistics. Artif. Intell. 293: 103451 (2021) - [j186]Zhi-Hua Zhou:
Why over-parameterization of deep neural networks does not overfit? Sci. China Inf. Sci. 64(1) (2021) - [j185]Peng Zhao, Guanghui Wang, Lijun Zhang, Zhi-Hua Zhou:
Bandit Convex Optimization in Non-stationary Environments. J. Mach. Learn. Res. 22: 125:1-125:45 (2021) - [j184]Shao-Qun Zhang, Zhao-Yu Zhang, Zhi-Hua Zhou:
Bifurcation Spiking Neural Network. J. Mach. Learn. Res. 22: 253:1-253:21 (2021) - [j183]Shao-Qun Zhang, Zhi-Hua Zhou:
Flexible Transmitter Network. Neural Comput. 33(11): 2951-2970 (2021) - [j182]Yufeng Li
, Lan-Zhe Guo, Zhi-Hua Zhou
:
Towards Safe Weakly Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43(1): 334-346 (2021) - [j181]Han-Jia Ye
, De-Chuan Zhan, Yuan Jiang, Zhi-Hua Zhou:
Heterogeneous Few-Shot Model Rectification With Semantic Mapping. IEEE Trans. Pattern Anal. Mach. Intell. 43(11): 3878-3891 (2021) - [j180]Peng Zhao
, Xinqiang Wang, Siyu Xie
, Lei Guo
, Zhi-Hua Zhou:
Distribution-Free One-Pass Learning. IEEE Trans. Knowl. Data Eng. 33(3): 951-963 (2021) - [j179]Xiu-Shen Wei
, Han-Jia Ye
, Xin Mu
, Jianxin Wu
, Chunhua Shen
, Zhi-Hua Zhou
:
Multi-Instance Learning With Emerging Novel Class. IEEE Trans. Knowl. Data Eng. 33(5): 2109-2120 (2021) - [j178]Bo-Jian Hou
, Lijun Zhang
, Zhi-Hua Zhou
:
Learning With Feature Evolvable Streams. IEEE Trans. Knowl. Data Eng. 33(6): 2602-2615 (2021) - [c290]Bo-Jian Hou, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou:
Storage Fit Learning with Feature Evolvable Streams. AAAI 2021: 7729-7736 - [c289]Yu-Jie Zhang, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou:
Towards Enabling Learnware to Handle Unseen Jobs. AAAI 2021: 10964-10972 - [c288]Peng Zhao, Yu-Jie Zhang, Zhi-Hua Zhou:
Exploratory Machine Learning with Unknown Unknowns. AAAI 2021: 10999-11006 - [c287]Xin-Qiang Cai, Yao-Xiang Ding, Yuan Jiang, Zhi-Hua Zhou:
Imitation Learning from Pixel-Level Demonstrations by HashReward. AAMAS 2021: 279-287 - [c286]Zhao-Yu Zhang, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou:
LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values. ICDM 2021: 1511-1516 - [c285]Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou:
Budgeted Heterogeneous Treatment Effect Estimation. ICML 2021: 8693-8702 - [c284]Jiachen Wang, Dazhen Deng
, Xiao Xie, Xinhuan Shu, Yu-Xuan Huang, Le-Wen Cai, Hui Zhang, Min-Ling Zhang
, Zhi-Hua Zhou, Yingcai Wu:
Tac-Valuer: Knowledge-based Stroke Evaluation in Table Tennis. KDD 2021: 3688-3696 - [c283]