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Yongqiang Chen

15 papers at tracked venues · 14 at CORE A* · active 2024–2025

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Venues

NeurIPS ×5ICLR ×3ICML ×3AAAI ×2ACM MM ×1EMNLP ×1

Frequent coauthors

James Cheng
×9
Bo Han
×6
Kaiwen Zhou
×4
Yatao Bian
×3
Tianjun Yao
×3
Tongliang Liu
×3
Kun Zhang
×3
Zhiqiang Shen
×3
Binghui Xie
×3
Wei Meng
×3
Kai Hu
×2
Jiaxing Xu
×1

Papers

  1. BrainOOD: Out-of-distribution Generalizable Brain Network Analysis
    ICLR 2025 ·
    Jiaxing Xu
    , Yongqiang Chen,
    Xia Dong
    ,
    Mengcheng Lan
    ,
    Tiancheng Huang
    ,
    Qingtian Bian
    ,
    James Cheng
    ,
    Yiping Ke
  2. Eliciting Causal Abilities in Large Language Models for Reasoning Tasks
    AAAI 2025 ·
    Yajing Wang
    ,
    Zongwei Luo
    ,
    Jingzhe Wang
    ,
    Zhanke Zhou
    , Yongqiang Chen,
    Bo Han
  3. Hierarchical Graph Tokenization for Molecule-Language Alignment
    ICML 2025 · Yongqiang Chen,
    Quanming Yao
    ,
    Juzheng Zhang
    ,
    James Cheng
    ,
    Yatao Bian
  4. Learning Graph Invariance by Harnessing Spuriosity
    ICLR 2025 ·
    Tianjun Yao
    , Yongqiang Chen,
    Kai Hu
    ,
    Tongliang Liu
    ,
    Kun Zhang
    ,
    Zhiqiang Shen
  5. MESH - Understanding Videos Like Human: Measuring Hallucinations in Large Video Models
    ACM MM 2025 ·
    Garry Yang
    ,
    Zizhe Chen
    ,
    Man Hon Wong
    ,
    Haoyu Lei
    , Yongqiang Chen,
    Zhenguo Li
    ,
    Kaiwen Zhou
    ,
    James Cheng
  6. Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization
    NeurIPS 2025 ·
    Tianjun Yao
    ,
    Haoxuan Li
    , Yongqiang Chen,
    Tongliang Liu
    ,
    Le Song
    ,
    Eric P. Xing
    ,
    Zhiqiang Shen
  7. Retrieval-Augmented Generation with Hierarchical Knowledge
    EMNLP 2025 ·
    Haoyu Huang
    ,
    Yongfeng Huang
    ,
    Junjie Yang
    ,
    Zhenyu Pan
    , Yongqiang Chen,
    Kaili Ma
    ,
    Hongzhi Chen
    ,
    James Cheng
  8. A Sober Look at the Robustness of CLIPs to Spurious Features
    NeurIPS 2024 ·
    Qizhou Wang
    ,
    Yong Lin
    , Yongqiang Chen,
    Ludwig Schmidt
    ,
    Bo Han
    ,
    Tong Zhang
  9. Discovery of the Hidden World with Large Language Models
    NeurIPS 2024 ·
    Chenxi Liu
    , Yongqiang Chen,
    Tongliang Liu
    ,
    Mingming Gong
    ,
    James Cheng
    ,
    Bo Han
    ,
    Kun Zhang
  10. Empowering Graph Invariance Learning with Deep Spurious Infomax
    ICML 2024 ·
    Tianjun Yao
    , Yongqiang Chen,
    Zhenhao Chen
    ,
    Kai Hu
    ,
    Zhiqiang Shen
    ,
    Kun Zhang
  11. Enhancing Evolving Domain Generalization through Dynamic Latent Representations
    AAAI 2024 ·
    Binghui Xie
    , Yongqiang Chen,
    Jiaqi Wang
    ,
    Kaiwen Zhou
    ,
    Bo Han
    ,
    Wei Meng
    ,
    James Cheng
  12. Enhancing Neural Subset Selection: Integrating Background Information into Set Representations
    ICLR 2024 ·
    Binghui Xie
    ,
    Yatao Bian
    ,
    Kaiwen Zhou
    , Yongqiang Chen,
    Peilin Zhao
    ,
    Bo Han
    ,
    Wei Meng
    ,
    James Cheng
  13. HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection
    NeurIPS 2024 ·
    Binghui Xie
    ,
    Yixuan Wang
    , Yongqiang Chen,
    Kaiwen Zhou
    ,
    Yu Li
    ,
    Wei Meng
    ,
    James Cheng
  14. How Interpretable Are Interpretable Graph Neural Networks?
    ICML 2024 · Yongqiang Chen,
    Yatao Bian
    ,
    Bo Han
    ,
    James Cheng
  15. On the Comparison between Multi-modal and Single-modal Contrastive Learning
    NeurIPS 2024 ·
    Wei Huang
    ,
    Andi Han
    , Yongqiang Chen,
    Yuan Cao
    ,
    Zhiqiang Xu
    ,
    Taiji Suzuki