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Jian Cheng

Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China

28 papers at tracked venues · 22 at CORE A* · active 2024–2026

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Venues

AAAI ×5ICML ×5ACL ×4NeurIPS ×4EMNLP ×2ICLR ×2MICCAI ×2CVPR ×1IJCAI ×1WACV ×1WWW ×1

Frequent coauthors

Yuheng Jing
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Hang Xu
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Jinmin He
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Junkai Zhang
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Tianqi Chen
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Yang Wu
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Zhengyang Zhuge
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Jiahe Qian
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Renxing Chen
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Yuantian Shao
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Yuanteng Chen
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Zhicheng Wang
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Papers

  1. A Universal Self-Attention Enhancement for Bridging Low-bit Quantization and Vision Transformers
    WACV 2026 ·
    Jiahe Qian
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  2. Deep (Predictive) Discounted Counterfactual Regret Minimization
    AAAI 2026 ·
    Hang Xu
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  3. FARSS: Fisher-Optimized Adaptive Low-Rank and Singular-Vector Selection for Knowledge-Preserving Fine-Tuning
    ACL 2026 ·
    Renxing Chen
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  4. An Open-Ended Learning Framework for Opponent Modeling
    AAAI 2025 ·
    Yuheng Jing
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  5. Bi-Level Knowledge Transfer for Multi-Task Multi-Agent Reinforcement Learning
    NeurIPS 2025 ·
    Junkai Zhang
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  6. DartQuant: Efficient Rotational Distribution Calibration for LLM Quantization
    NeurIPS 2025 ·
    Yuantian Shao
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  7. EAC-MoE: Expert-Selection Aware Compressor for Mixture-of-Experts Large Language Models
    ACL 2025 ·
    Yuanteng Chen
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  8. Exploring Contextual Attribute Density in Referring Expression Counting
    CVPR 2025 ·
    Zhicheng Wang
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  9. Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning
    ICML 2025 ·
    Jinmin He
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  10. LoRaDA: Low-Rank Direct Attention Adaptation for Efficient LLM Fine-tuning
    EMNLP 2025 ·
    Zhangming Li
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  11. Maximum Entropy Reinforcement Learning with Diffusion Policy
    ICML 2025 ·
    Xiaoyi Dong
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  12. Offline Opponent Modeling with Truncated Q-driven Instant Policy Refinement
    ICML 2025 ·
    Yuheng Jing
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  13. Q-Mamba: Towards more efficient Mamba models via post-training quantization
    ACL 2025 ·
    Tianqi Chen
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  14. RQT: Hierarchical Residual Quantization for Multi-Model Compression
    ACL 2025 ·
    Tianqi Chen
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  15. Training LLMs for Optimization Modeling via Iterative Data Synthesis and Structured Validation
    EMNLP 2025 ·
    Yang Wu
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  16. AID-DTI: Accelerating High-Fidelity Diffusion Tensor Imaging with Detail-Preserving Model-Based Deep Learning
    MICCAI 2024 ·
    Wenxin Fan
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  17. Dynamic Discounted Counterfactual Regret Minimization
    ICLR 2024 ·
    Hang Xu
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  18. Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance
    NeurIPS 2024 ·
    Jinmin He
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  19. GraphLeak: Patient Record Leakage through Gradients with Knowledge Graph
    WWW 2024 ·
    Xi Sheryl Zhang
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  20. HGCN2SP: Hierarchical Graph Convolutional Network for Two-Stage Stochastic Programming
    ICML 2024 ·
    Yang Wu
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  21. Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning
    AAAI 2024 ·
    Junkai Zhang
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  22. Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent
    IJCAI 2024 ·
    Hang Xu
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  23. Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing
    AAAI 2024 ·
    Jinmin He
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  24. Opponent Modeling with In-context Search
    NeurIPS 2024 ·
    Yuheng Jing
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  25. Patch-Aware Sample Selection for Efficient Masked Image Modeling
    AAAI 2024 ·
    Zhengyang Zhuge
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  26. RobNODDI: Robust NODDI Parameter Estimation with Adaptive Sampling Under Continuous Representation
    MICCAI 2024 ·
    Taohui Xiao
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  27. Towards Efficient Spiking Transformer: a Token Sparsification Framework for Training and Inference Acceleration
    ICML 2024 ·
    Zhengyang Zhuge
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  28. Towards Offline Opponent Modeling with In-context Learning
    ICLR 2024 ·
    Yuheng Jing
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