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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

Tianjun Yao
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Binghui Xie
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Jiaxing Xu
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Yajing Wang
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Garry Yang
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Haoyu Huang
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Qizhou Wang
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Chenxi Liu
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Wei Huang
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Papers

  1. BrainOOD: Out-of-distribution Generalizable Brain Network Analysis
    ICLR 2025 ·
    Jiaxing Xu
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  2. Eliciting Causal Abilities in Large Language Models for Reasoning Tasks
    AAAI 2025 ·
    Yajing Wang
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  3. Hierarchical Graph Tokenization for Molecule-Language Alignment
    ICML 2025 · Yongqiang Chen
  4. Learning Graph Invariance by Harnessing Spuriosity
    ICLR 2025 ·
    Tianjun Yao
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  5. MESH - Understanding Videos Like Human: Measuring Hallucinations in Large Video Models
    ACM MM 2025 ·
    Garry Yang
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  6. Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization
    NeurIPS 2025 ·
    Tianjun Yao
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  7. Retrieval-Augmented Generation with Hierarchical Knowledge
    EMNLP 2025 ·
    Haoyu Huang
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  8. A Sober Look at the Robustness of CLIPs to Spurious Features
    NeurIPS 2024 ·
    Qizhou Wang
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  9. Discovery of the Hidden World with Large Language Models
    NeurIPS 2024 ·
    Chenxi Liu
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  10. Empowering Graph Invariance Learning with Deep Spurious Infomax
    ICML 2024 ·
    Tianjun Yao
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  11. Enhancing Evolving Domain Generalization through Dynamic Latent Representations
    AAAI 2024 ·
    Binghui Xie
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  12. Enhancing Neural Subset Selection: Integrating Background Information into Set Representations
    ICLR 2024 ·
    Binghui Xie
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  13. HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection
    NeurIPS 2024 ·
    Binghui Xie
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  14. How Interpretable Are Interpretable Graph Neural Networks?
    ICML 2024 · Yongqiang Chen
  15. On the Comparison between Multi-modal and Single-modal Contrastive Learning
    NeurIPS 2024 ·
    Wei Huang
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