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Tianshu Yu

14 papers at tracked venues · 13 at CORE A* · active 2024–2026

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Venues

NeurIPS ×5AAAI ×2ACL ×2SIGKDD ×2ECML-PKDD ×1ICLR ×1ICML ×1

Frequent coauthors

Xiaozhuang Song
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Xinjian Zhao
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Haoyu Zhang
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Yaoyao Xu
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Zihan Zhou
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Chenguang Wang
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Weichen Zhao
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Chaolong Ying
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Papers

  1. AOT*: Efficient Synthesis Planning via LLM-Empowered AND-OR Tree Search
    ACL 2026 ·
    Xiaozhuang Song
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  2. Physically-Informed Flow Matching with Graph Neural Networks for Complex Fluid Dynamics
    AAAI 2026 ·
    Xiaozhuang Song
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  3. Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining
    AAAI 2025 ·
    Xiaozhuang Song
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  4. Generating Physical Dynamics under Priors
    ICLR 2025 ·
    Zihan Zhou
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  5. Graph Learning with Distributional Edge Layouts
    SIGKDD 2025 ·
    Xinjian Zhao
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  6. Improving Task-Specific Multimodal Sentiment Analysis with General MLLMs via Prompting
    NeurIPS 2025 ·
    Haoyu Zhang
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  7. ReKG-MCTS: Reinforcing LLM Reasoning on Knowledge Graphs via Training-Free Monte Carlo Tree Search
    ACL 2025 ·
    Xiaozhuang Song
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  8. Sampling from Binary Quadratic Distributions via Stochastic Localization
    ICML 2025 ·
    Chenguang Wang
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  9. TEMPO: Temporal Multi-scale Autoregressive Generation of Protein Conformational Ensembles
    NeurIPS 2025 ·
    Yaoyao Xu
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  10. The Underappreciated Power of Vision Models for Graph Structural Understanding
    NeurIPS 2025 ·
    Xinjian Zhao
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  11. Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory
    SIGKDD 2025 ·
    Weichen Zhao
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  12. Boosting Graph Pooling with Persistent Homology
    NeurIPS 2024 ·
    Chaolong Ying
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  13. Boosting Protein Language Models with Negative Sample Mining
    ECML-PKDD 2024 ·
    Yaoyao Xu
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  14. Towards Robust Multimodal Sentiment Analysis with Incomplete Data
    NeurIPS 2024 ·
    Haoyu Zhang
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