PPaperPicks

Changwen Zheng

23 papers at tracked venues · 19 at CORE A* · active 2024–2026

DBLP profile ↗ORCID search ↗

Venues

AAAI ×10ICML ×4AAMAS ×2ACM MM ×2IJCAI ×2ICLR ×1NeurIPS ×1WWW ×1

Frequent coauthors

Wenwen Qiang
×12
Jiangmeng Li
×11
Jingyao Wang
×8
Chuxiong Sun
×6
Zeen Song
×6
Rui Wang
×5
Hang Gao
×5
Yifan Jin
×4
Fengge Wu
×4
Huaping Liu
×4
Fuchun Sun
×4
Jianqi Zhang
×3

Papers

  1. Doubly Debiased Test-Time Prompt Tuning for Vision-Language Models
    AAAI 2026 ·
    Fei Song
    ,
    Yi Li
    ,
    Rui Wang
    ,
    Jiahuan Zhou
    , Changwen Zheng,
    Jiangmeng Li
  2. Enhancing Large Language Models for Time-Series Forecasting via Vector-Injected In-Context Learning
    WWW 2026 ·
    Jianqi Zhang
    ,
    Jingyao Wang
    ,
    Wenwen Qiang
    ,
    Fanjiang Xu
    , Changwen Zheng
  3. Exploring Transferability of Self-Supervised Learning by Task Conflict Calibration
    AAAI 2026 ·
    Huijie Guo
    ,
    Jingyao Wang
    ,
    Peizheng Guo
    ,
    Xingchen Shen
    , Changwen Zheng,
    Wenwen Qiang
  4. Group Causal Policy Optimization for Post-Training Large Language Models
    AAAI 2026 ·
    Ziyin Gu
    ,
    Jingyao Wang
    ,
    Ran Zuo
    ,
    Chuxiong Sun
    ,
    Zeen Song
    , Changwen Zheng,
    Wenwen Qiang
  5. HTG-GCL: Leveraging Hierarchical Topological Granularity from Cellular Complexes for Graph Contrastive Learning
    AAAI 2026 ·
    Qirui Ji
    ,
    Bin Qin
    ,
    Yifan Jin
    ,
    Yunze Zhao
    ,
    Chuxiong Sun
    , Changwen Zheng,
    Jianwen Cao
    ,
    Jiangmeng Li
  6. TMAE: Learning Targeted Multi-Agent Exploration via Causal Inference
    AAAI 2026 ·
    Chuxiong Sun
    ,
    Dunqi Yao
    ,
    Rui Wang
    ,
    Wenwen Qiang
    , Changwen Zheng,
    Jiangmeng Li
  7. Advancing Complex Wide-Area Scene Understanding with Hierarchical Coresets Selection
    ACM MM 2025 ·
    Jingyao Wang
    ,
    Yiming Chen
    ,
    Lingyu Si
    , Changwen Zheng
  8. Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach
    AAAI 2025 ·
    Hang Gao
    ,
    Chenhao Zhang
    ,
    Fengge Wu
    , Changwen Zheng,
    Junsuo Zhao
    ,
    Huaping Liu
  9. LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification
    ICML 2025 ·
    Hang Gao
    ,
    Wenxuan Huang
    ,
    Fengge Wu
    ,
    Junsuo Zhao
    , Changwen Zheng,
    Huaping Liu
  10. Learn to Think: Bootstrapping LLM Logic Through Graph Representation Learning
    IJCAI 2025 ·
    Hang Gao
    ,
    Chenhao Zhang
    ,
    Tie Wang
    ,
    Junsuo Zhao
    ,
    Fengge Wu
    , Changwen Zheng,
    Huaping Liu
  11. Learning Invariant Causal Mechanism from Vision-Language Models
    ICML 2025 ·
    Zeen Song
    ,
    Siyu Zhao
    ,
    Xingyu Zhang
    ,
    Jiangmeng Li
    , Changwen Zheng,
    Wenwen Qiang
  12. Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMs
    NeurIPS 2025 ·
    Jingyao Wang
    ,
    Wenwen Qiang
    ,
    Zeen Song
    , Changwen Zheng,
    Hui Xiong
  13. Loss of Plasticity: A New Perspective on Solving Multi-Agent Exploration for Sparse Reward Tasks
    AAMAS 2025 ·
    Zehua Zang
    ,
    Chuxiong Sun
    ,
    Lixiang Liu
    ,
    Fuchun Sun
    , Changwen Zheng
  14. On the Out-of-Distribution Generalization of Self-Supervised Learning
    ICML 2025 ·
    Wenwen Qiang
    ,
    Jingyao Wang
    ,
    Zeen Song
    ,
    Jiangmeng Li
    , Changwen Zheng
  15. Revisiting Communication Efficiency in Multi-Agent Reinforcement Learning from the Dimensional Analysis Perspective
    AAMAS 2025 ·
    Chuxiong Sun
    ,
    Peng He
    ,
    Rui Wang
    , Changwen Zheng
  16. Towards the Causal Complete Cause of Multi-Modal Representation Learning
    ICML 2025 ·
    Jingyao Wang
    ,
    Siyu Zhao
    ,
    Wenwen Qiang
    ,
    Jiangmeng Li
    , Changwen Zheng,
    Fuchun Sun
    ,
    Hui Xiong
  17. BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction
    ICLR 2024 ·
    Jiangmeng Li
    ,
    Fei Song
    ,
    Yifan Jin
    ,
    Wenwen Qiang
    , Changwen Zheng,
    Fuchun Sun
    ,
    Hui Xiong
  18. Hacking Task Confounder in Meta-Learning
    IJCAI 2024 ·
    Jingyao Wang
    ,
    Yi Ren
    ,
    Zeen Song
    ,
    Jianqi Zhang
    , Changwen Zheng,
    Wenwen Qiang
  19. Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning
    AAAI 2024 ·
    Jiangmeng Li
    ,
    Yifan Jin
    ,
    Hang Gao
    ,
    Wenwen Qiang
    , Changwen Zheng,
    Fuchun Sun
  20. Not All Frequencies Are Created Equal: Towards a Dynamic Fusion of Frequencies in Time-Series Forecasting
    ACM MM 2024 ·
    Xingyu Zhang
    ,
    Siyu Zhao
    ,
    Zeen Song
    ,
    Huijie Guo
    ,
    Jianqi Zhang
    , Changwen Zheng,
    Wenwen Qiang
  21. Rethinking Causal Relationships Learning in Graph Neural Networks
    AAAI 2024 ·
    Hang Gao
    ,
    Chengyu Yao
    ,
    Jiangmeng Li
    ,
    Lingyu Si
    ,
    Yifan Jin
    ,
    Fengge Wu
    , Changwen Zheng,
    Huaping Liu
  22. Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective
    AAAI 2024 ·
    Qirui Ji
    ,
    Jiangmeng Li
    ,
    Jie Hu
    ,
    Rui Wang
    , Changwen Zheng,
    Fanjiang Xu
  23. T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration
    AAAI 2024 ·
    Chuxiong Sun
    ,
    Zehua Zang
    ,
    Jiabao Li
    ,
    Jiangmeng Li
    ,
    Xiao Xu
    ,
    Rui Wang
    , Changwen Zheng