PPaperPicks

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

DBLP profile ↗ORCID 0000-0003-1289-2758 ↗Homepage ↗

Venues

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

Frequent coauthors

Kai Li
×10
Haobo Fu
×10
Qiang Fu
×10
Junliang Xing
×10
Peisong Wang
×9
Yifan Zang
×7
Bingyun Liu
×5
Yifan Zhang
×5
Yuheng Jing
×4
Jinmin He
×4
Zhengyang Zhuge
×3
Hang Xu
×3

Papers

  1. A Universal Self-Attention Enhancement for Bridging Low-bit Quantization and Vision Transformers
    WACV 2026 ·
    Jiahe Qian
    ,
    Peisong Wang
    ,
    Zhengyang Zhuge
    ,
    Qinghao Hu
    , Jian Cheng
  2. Deep (Predictive) Discounted Counterfactual Regret Minimization
    AAAI 2026 ·
    Hang Xu
    ,
    Kai Li
    ,
    Haobo Fu
    ,
    Qiang Fu
    ,
    Junliang Xing
    , Jian Cheng
  3. FARSS: Fisher-Optimized Adaptive Low-Rank and Singular-Vector Selection for Knowledge-Preserving Fine-Tuning
    ACL 2026 ·
    Renxing Chen
    ,
    Ziwei Xiang
    ,
    Peisong Wang
    ,
    Hongjian Fang
    ,
    Meng Li
    ,
    Fanhu Zeng
    ,
    Yanan Zhu
    ,
    Peipei Yang
    ,
    Xu-Yao Zhang
    , Jian Cheng
  4. An Open-Ended Learning Framework for Opponent Modeling
    AAAI 2025 ·
    Yuheng Jing
    ,
    Kai Li
    ,
    Bingyun Liu
    ,
    Haobo Fu
    ,
    Qiang Fu
    ,
    Junliang Xing
    , Jian Cheng
  5. Bi-Level Knowledge Transfer for Multi-Task Multi-Agent Reinforcement Learning
    NeurIPS 2025 ·
    Junkai Zhang
    ,
    Jinmin He
    ,
    Yifan Zhang
    ,
    Yifan Zang
    ,
    Ning Xu
    , Jian Cheng
  6. DartQuant: Efficient Rotational Distribution Calibration for LLM Quantization
    NeurIPS 2025 ·
    Yuantian Shao
    ,
    Yuanteng Chen
    ,
    Peisong Wang
    ,
    Jianlin Yu
    ,
    Jing Lin
    ,
    Yiwu Yao
    ,
    Zhihui Wei
    , Jian Cheng
  7. EAC-MoE: Expert-Selection Aware Compressor for Mixture-of-Experts Large Language Models
    ACL 2025 ·
    Yuanteng Chen
    ,
    Yuantian Shao
    ,
    Peisong Wang
    , Jian Cheng
  8. Exploring Contextual Attribute Density in Referring Expression Counting
    CVPR 2025 ·
    Zhicheng Wang
    ,
    Zhiyu Pan
    ,
    Zhan Peng
    , Jian Cheng,
    Liwen Xiao
    ,
    Wei Jiang
    ,
    Zhiguo Cao
  9. Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning
    ICML 2025 ·
    Jinmin He
    ,
    Kai Li
    ,
    Yifan Zang
    ,
    Haobo Fu
    ,
    Qiang Fu
    ,
    Junliang Xing
    , Jian Cheng
  10. LoRaDA: Low-Rank Direct Attention Adaptation for Efficient LLM Fine-tuning
    EMNLP 2025 ·
    Zhangming Li
    ,
    Qinghao Hu
    ,
    Yiqun Chen
    ,
    Peisong Wang
    ,
    Yifan Zhang
    , Jian Cheng
  11. Maximum Entropy Reinforcement Learning with Diffusion Policy
    ICML 2025 ·
    Xiaoyi Dong
    , Jian Cheng,
    Xi Sheryl Zhang
  12. Offline Opponent Modeling with Truncated Q-driven Instant Policy Refinement
    ICML 2025 ·
    Yuheng Jing
    ,
    Kai Li
    ,
    Bingyun Liu
    ,
    Ziwen Zhang
    ,
    Haobo Fu
    ,
    Qiang Fu
    ,
    Junliang Xing
    , Jian Cheng
  13. Q-Mamba: Towards more efficient Mamba models via post-training quantization
    ACL 2025 ·
    Tianqi Chen
    ,
    Yuanteng Chen
    ,
    Peisong Wang
    ,
    Weixiang Xu
    ,
    Zeyu Zhu
    , Jian Cheng
  14. RQT: Hierarchical Residual Quantization for Multi-Model Compression
    ACL 2025 ·
    Tianqi Chen
    ,
    Peisong Wang
    ,
    Weixiang Xu
    ,
    Zeyu Zhu
    , Jian Cheng
  15. Training LLMs for Optimization Modeling via Iterative Data Synthesis and Structured Validation
    EMNLP 2025 ·
    Yang Wu
    ,
    Yifan Zhang
    ,
    Yurong Wu
    ,
    Yuran Wang
    ,
    Junkai Zhang
    , Jian Cheng
  16. AID-DTI: Accelerating High-Fidelity Diffusion Tensor Imaging with Detail-Preserving Model-Based Deep Learning
    MICCAI 2024 ·
    Wenxin Fan
    , Jian Cheng,
    Cheng Li
    ,
    Jing Yang
    ,
    Ruoyou Wu
    ,
    Juan Zou
    ,
    Shanshan Wang
  17. Dynamic Discounted Counterfactual Regret Minimization
    ICLR 2024 ·
    Hang Xu
    ,
    Kai Li
    ,
    Haobo Fu
    ,
    Qiang Fu
    ,
    Junliang Xing
    , Jian Cheng
  18. Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance
    NeurIPS 2024 ·
    Jinmin He
    ,
    Kai Li
    ,
    Yifan Zang
    ,
    Haobo Fu
    ,
    Qiang Fu
    ,
    Junliang Xing
    , Jian Cheng
  19. GraphLeak: Patient Record Leakage through Gradients with Knowledge Graph
    WWW 2024 ·
    Xi Sheryl Zhang
    ,
    Weifan Guan
    ,
    Jiahao Lu
    ,
    Zhaopeng Qiu
    , Jian Cheng,
    Xian Wu
    ,
    Yefeng Zheng
  20. HGCN2SP: Hierarchical Graph Convolutional Network for Two-Stage Stochastic Programming
    ICML 2024 ·
    Yang Wu
    ,
    Yifan Zhang
    ,
    Zhenxing Liang
    , Jian Cheng
  21. Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning
    AAAI 2024 ·
    Junkai Zhang
    ,
    Yifan Zhang
    ,
    Xi Sheryl Zhang
    ,
    Yifan Zang
    , Jian Cheng
  22. Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent
    IJCAI 2024 ·
    Hang Xu
    ,
    Kai Li
    ,
    Bingyun Liu
    ,
    Haobo Fu
    ,
    Qiang Fu
    ,
    Junliang Xing
    , Jian Cheng
  23. Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing
    AAAI 2024 ·
    Jinmin He
    ,
    Kai Li
    ,
    Yifan Zang
    ,
    Haobo Fu
    ,
    Qiang Fu
    ,
    Junliang Xing
    , Jian Cheng
  24. Opponent Modeling with In-context Search
    NeurIPS 2024 ·
    Yuheng Jing
    ,
    Bingyun Liu
    ,
    Kai Li
    ,
    Yifan Zang
    ,
    Haobo Fu
    ,
    Qiang Fu
    ,
    Junliang Xing
    , Jian Cheng
  25. Patch-Aware Sample Selection for Efficient Masked Image Modeling
    AAAI 2024 ·
    Zhengyang Zhuge
    ,
    Jiaxing Wang
    ,
    Yong Li
    ,
    Yongjun Bao
    ,
    Peisong Wang
    , Jian Cheng
  26. RobNODDI: Robust NODDI Parameter Estimation with Adaptive Sampling Under Continuous Representation
    MICCAI 2024 ·
    Taohui Xiao
    , Jian Cheng,
    Wenxin Fan
    ,
    Jing Yang
    ,
    Cheng Li
    ,
    Enqing Dong
    ,
    Shanshan Wang
  27. Towards Efficient Spiking Transformer: a Token Sparsification Framework for Training and Inference Acceleration
    ICML 2024 ·
    Zhengyang Zhuge
    ,
    Peisong Wang
    ,
    Xingting Yao
    , Jian Cheng
  28. Towards Offline Opponent Modeling with In-context Learning
    ICLR 2024 ·
    Yuheng Jing
    ,
    Kai Li
    ,
    Bingyun Liu
    ,
    Yifan Zang
    ,
    Haobo Fu
    ,
    Qiang Fu
    ,
    Junliang Xing
    , Jian Cheng