PPaperPicks

Zhi-Hua Zhou

Nanjing University, State Key Laboratory for Novel Software Technology, China

42 papers at tracked venues · 37 at CORE A* · active 2024–2026

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Venues

NeurIPS ×12ICML ×10AAAI ×8SIGKDD ×5IJCAI ×3AISTATS ×1COLT ×1ICLR ×1SIGMOD ×1

Frequent coauthors

Long-Fei Li
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Jing Wang
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Yu-Yang Qian
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Wen-Chao Hu
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Jian-Dong Liu
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Wen-Bo Du
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Peng Tan
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Lanjihong Ma
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Yu-Hu Yan
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Tian-Zuo Wang
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Xiaowen Yang
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Yi-Han Wang
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Papers

  1. A simple, optimal and efficient algorithm for online exp-concave optimization
    COLT 2026 ·
    Yi-Han Wang
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  2. AeroSketch: Near-Optimal Time Matrix Sketch Framework for Persistent, Sliding Window, and Distributed Streams
    SIGMOD 2026 ·
    Hanyan Yin
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  3. CoRE-Learning with Look-Ahead and Immediate Resource Allocation
    AAAI 2026 ·
    Jing Wang
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  4. Tabular Learnwares Can Be Repurposed for Seemingly Irrelevant New Tasks
    AAAI 2026 ·
    Peng Tan
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  5. Achieving Nearly-Optimal Regret and Sample Complexity in Dueling Bandits with Applications in Online Recommendations
    SIGKDD 2025 ·
    Lanjihong Ma
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  6. Adapting to Generalized Online Label Shift by Invariant Representation Learning
    SIGKDD 2025 ·
    Yu-Yang Qian
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  7. Avoiding Undesired Future with Sequential Decisions
    IJCAI 2025 ·
    Lue Tao
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  8. Curriculum Abductive Learning
    NeurIPS 2025 ·
    Wen-Chao Hu
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  9. Discovering Symbolic Partial Differential Equation by Abductive Learning
    NeurIPS 2025 ·
    En-Hao Gao
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  10. Dynamic Learnware Filtering for Efficient Learnware Identification and System Slimming
    SIGKDD 2025 ·
    Jian-Dong Liu
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  11. Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection
    AAAI 2025 ·
    Wen-Chao Hu
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  12. Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection (Extended Abstract)
    IJCAI 2025 ·
    Wen-Chao Hu
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  13. Enabling Optimal Decisions in Rehearsal Learning under CARE Condition
    ICML 2025 ·
    Wen-Bo Du
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  14. Gradient-Based Nonlinear Rehearsal Learning with Multivariate Alterations
    AAAI 2025 ·
    Tian Qin
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  15. Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update
    ICML 2025 ·
    Jing Wang
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  16. Identifying and Reusing Learnwares Across Different Label Spaces
    IJCAI 2025 ·
    Jian-Dong Liu
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  17. On the Diversity of Adversarial Ensemble Learning
    ICML 2025 ·
    Jun-Qi Guo
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  18. One-Pass Feature Evolvable Learning with Theoretical Guarantees
    ICML 2025 ·
    Cun-Yuan Xing
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  19. Optimistic Online-to-Batch Conversions for Accelerated Convergence and Universality
    NeurIPS 2025 ·
    Yu-Hu Yan
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  20. Polynomial-Delay MAG Listing with Novel Locally Complete Orientation Rules
    ICML 2025 ·
    Tian-Zuo Wang
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  21. Provably Efficient Online RLHF with One-Pass Reward Modeling
    NeurIPS 2025 ·
    Long-Fei Li
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  22. TreeLoRA: Efficient Continual Learning via Layer-Wise LoRAs Guided by a Hierarchical Gradient-Similarity Tree
    ICML 2025 ·
    Yu-Yang Qian
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  23. Variance-Reduced Long-Term Rehearsal Learning with Quadratic Programming Reformulation
    NeurIPS 2025 ·
    Wen-Bo Du
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  24. A Simple and Optimal Approach for Universal Online Learning with Gradient Variations
    NeurIPS 2024 ·
    Yu-Hu Yan
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  25. An Efficient Maximal Ancestral Graph Listing Algorithm
    ICML 2024 ·
    Tian-Zuo Wang
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  26. Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts
    ICML 2024 ·
    Xiaowen Yang
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  27. Avoiding Undesired Future with Minimal Cost in Non-Stationary Environments
    NeurIPS 2024 ·
    Wen-Bo Du
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  28. Beimingwu: A Learnware Dock System
    SIGKDD 2024 ·
    Zhi-Hao Tan
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  29. Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function Approximation
    AAAI 2024 ·
    Long-Fei Li
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  30. Efficient Non-stationary Online Learning by Wavelets with Applications to Online Distribution Shift Adaptation
    ICML 2024 ·
    Yu-Yang Qian
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  31. Gradient-Variation Online Learning under Generalized Smoothness
    NeurIPS 2024 ·
    Yan-Feng Xie
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  32. Handling Learnwares from Heterogeneous Feature Spaces with Explicit Label Exploitation
    NeurIPS 2024 ·
    Peng Tan
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  33. Handling Varied Objectives by Online Decision Making
    SIGKDD 2024 ·
    Lanjihong Ma
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  34. Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition
    AISTATS 2024 ·
    Long-Fei Li
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  35. Learning Only When It Matters: Cost-Aware Long-Tailed Classification
    AAAI 2024 ·
    Yu-Cheng He
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  36. Learning with Adaptive Resource Allocation
    ICML 2024 ·
    Jing Wang
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  37. Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs
    NeurIPS 2024 ·
    Long-Fei Li
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  38. On the Ability of Developers' Training Data Preservation of Learnware
    NeurIPS 2024 ·
    Hao-Yi Lei
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  39. Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning
    ICLR 2024 ·
    Chengxing Jia
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  40. Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation
    NeurIPS 2024 ·
    Long-Fei Li
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  41. Safe Abductive Learning in the Presence of Inaccurate Rules
    AAAI 2024 ·
    Xiaowen Yang
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  42. Towards Making Learnware Specification and Market Evolvable
    AAAI 2024 ·
    Jian-Dong Liu
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