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Zhouchen Lin

Peking University, Department of Machine Intelligence, Beijing, China

37 papers at tracked venues · 35 at CORE A* · active 2024–2026

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Venues

NeurIPS ×12ICML ×7ICLR ×6SIGIR ×4AAAI ×3ACL ×1CVPR ×1ECAI ×1IJCAI ×1SIGKDD ×1

Frequent coauthors

Hao Wang
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Yikang Li
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Xiang Li
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Lexiang Hu
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Zhoutong Wu
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Yang Chen
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Hanzhen Zhao
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Mingqing Xiao
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Yanghao Xiao
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Junkang Liu
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Xukai Wang
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Chunyuan Zheng
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Papers

  1. Debiased Recommendation Beyond the Positive Propensity Assumption
    SIGIR 2026 ·
    Yanghao Xiao
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  2. FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models
    AAAI 2026 ·
    Junkang Liu
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  3. MorphoBench: A Benchmark with Difficulty Adaptive to Model Reasoning
    ACL 2026 ·
    Xukai Wang
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  4. Optimizing Marketing Subsidies via Counterfactual Learning with Asymmetric Reward Function
    SIGIR 2026 ·
    Xiang Li
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  5. Uplift Modeling with Delayed Feedback: Identifiability and Algorithms
    AAAI 2026 ·
    Chunyuan Zheng
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  6. User Activity Modeling under Inflated Distribution
    SIGIR 2026 ·
    Xiang Li
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  7. AV-NAS: Audio-Visual Multi-Level Semantic Neural Architecture Search for Video Hashing
    SIGIR 2025 ·
    Yong Chen
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  8. Active Treatment Effect Estimation via Limited Samples
    ICML 2025 ·
    Zhiheng Zhang
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  9. AdaMSS: Adaptive Multi-Subspace Approach for Parameter-Efficient Fine-Tuning
    NeurIPS 2025 ·
    Jingjing Zheng
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  10. Affine Steerable Equivariant Layer for Canonicalization of Neural Networks
    ICLR 2025 ·
    Yikang Li
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  11. Empowering LLMs with Logical Reasoning: A Comprehensive Survey
    IJCAI 2025 ·
    Fengxiang Cheng
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  12. Explicit Discovery of Nonlinear Symmetries from Dynamic Data
    ICML 2025 ·
    Lexiang Hu
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  13. Improving Model Representation and Reducing KV Cache via Skip Connections with First Value Heads
    NeurIPS 2025 ·
    Zhoutong Wu
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  14. Incorporating Arbitrary Matrix Group Equivariance into KANs
    ICML 2025 ·
    Lexiang Hu
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  15. Iterative Missing Data Imputation with Model Form Adaptation and Non-Missing Feature Supervision
    NeurIPS 2025 ·
    Hao Wang
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  16. Language Ranker: A Lightweight Ranking framework for LLM Decoding
    NeurIPS 2025 ·
    Chenheng Zhang
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  17. Low-Dimension-to-High-Dimension Generalization and Its Implications for Length Generalization
    ICML 2025 ·
    Yang Chen
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  18. MME-VideoOCR: Evaluating OCR-Based Capabilities of Multimodal LLMs in Video Scenarios
    NeurIPS 2025 ·
    Yang Shi
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  19. Number Cookbook: Number Understanding of Language Models and How to Improve It
    ICLR 2025 ·
    Haotong Yang
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  20. On the O(√d/K1/4) Convergence Rate of AdamW Measured by ℓ1 Norm
    NeurIPS 2025 ·
    Huan Li
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  21. PaZO: Preconditioned Accelerated Zeroth-Order Optimization for Fine-Tuning LLMs
    NeurIPS 2025 ·
    Hanzhen Zhao
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  22. Projective Equivariant Networks via Second-order Fundamental Differential Invariants
    NeurIPS 2025 ·
    Yikang Li
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  23. Proximity Matters: Local Proximity Enhanced Balancing for Treatment Effect Estimation
    SIGKDD 2025 ·
    Hao Wang
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  24. PseuZO: Pseudo-Zeroth-Order Algorithm for Training Deep Neural Networks
    NeurIPS 2025 ·
    Pengyun Yue
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  25. Pyramidal Flow Matching for Efficient Video Generative Modeling
    ICLR 2025 ·
    Yang Jin
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  26. SEPARATE: A Simple Low-rank Projection for Gradient Compression in Modern Large-scale Model Training Process
    ICLR 2025 ·
    Hanzhen Zhao
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  27. Stepsize anything: A unified learning rate schedule for budgeted-iteration training
    NeurIPS 2025 ·
    Anda Tang
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  28. TC-MoE: Augmenting Mixture of Experts with Ternary Expert Choice
    ICLR 2025 ·
    Shen Yan
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  29. Time-o1: Time-Series Forecasting Needs Transformed Label Alignment
    NeurIPS 2025 ·
    Hao Wang
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  30. Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning
    ICML 2025 ·
    Hao Wang
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  31. Affine Equivariant Networks Based on Differential Invariants
    CVPR 2024 ·
    Yikang Li
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  32. Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
    ICLR 2024 ·
    Mingqing Xiao
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  33. LION: Implicit Vision Prompt Tuning
    AAAI 2024 ·
    Haixin Wang
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  34. MixCon: A Hybrid Architecture for Efficient and Adaptive Sequence Modeling
    ECAI 2024 ·
    Xin Xu
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  35. Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective
    ICML 2024 ·
    Yang Chen
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  36. Separation and Bias of Deep Equilibrium Models on Expressivity and Learning Dynamics
    NeurIPS 2024 ·
    Zhoutong Wu
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  37. Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
    ICML 2024 ·
    Mingqing Xiao
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