Search Results - Yu, Tianshu

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  1. 1
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    Secrets of GFlowNets' Learning Behavior: A Theoretical Study by Yu, Tianshu

    Published 2025
    Fuente: arXiv
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  2. 2
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    W2SAT: Learning to generate SAT instances from Weighted Literal Incidence Graphs by Wen, Weihuang, Yu, Tianshu

    Published 2023
    Fuente: arXiv
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  3. 3
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    Learning to Decouple Complex Systems by Zhou, Zihan, Yu, Tianshu

    Published 2023
    Fuente: arXiv
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  4. 4
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    A Unified Framework for Data-Free One-Step Sampling via Wasserstein Gradient Flows by Wang, Chenguang, Yu, Tianshu

    Published 2026
    Fuente: arXiv
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  5. 5
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    Towards Imbalanced Motion: Part-Decoupling Network for Video Portrait Segmentation by Yu, Tianshu, Xia, Changqun, Li, Jia

    Published 2023
    Fuente: arXiv
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  6. 6
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    On Accelerating Diffusion-based Molecular Conformation Generation in SE(3)-invariant Space by Zhou, Zihan, Liu, Ruiying, Yu, Tianshu

    Published 2023
    Fuente: arXiv
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  7. 7
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    Towards Principled Task Grouping for Multi-Task Learning by Wang, Chenguang, Pan, Xuanhao, Yu, Tianshu

    Published 2024
    Fuente: arXiv
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  8. 8
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    Boosting Graph Pooling with Persistent Homology by Ying, Chaolong, Zhao, Xinjian, Yu, Tianshu

    Published 2024
    Fuente: arXiv
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  9. 9
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    Graph Learning with Distributional Edge Layouts by Zhao, Xinjian, Ying, Chaolong, Yu, Tianshu

    Published 2024
    Fuente: arXiv
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  10. 10
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    Generating Physical Dynamics under Priors by Zhou, Zihan, Wang, Xiaoxue, Yu, Tianshu

    Published 2024
    Fuente: arXiv
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  11. 11
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    Towards Robust Multimodal Sentiment Analysis with Incomplete Data by Zhang, Haoyu, Wang, Wenbin, Yu, Tianshu

    Published 2024
    Fuente: arXiv
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  12. 12
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    Observation-Aligned Mask Priors for Learning Physical Dynamics from Authentic Occlusions by Ma, Chiyuan, Zhou, Zihan, Yu, Tianshu

    Published 2026
    Fuente: arXiv
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  13. 13
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    ReMAP: Neural Reparameterization for Scalable MAP Inference in Arbitrary-Order Markov Random Fields by Wang, Yaomin, Ying, Chaolong, Luo, Xiaodong, Yu, Tianshu

    Published 2024
    Fuente: arXiv
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  14. 14
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    Sampling from Binary Quadratic Distributions via Stochastic Localization by Wang, Chenguang, Cui, Kaiyuan, Zhao, Weichen, Yu, Tianshu

    Published 2025
    Fuente: arXiv
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  15. 15
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    Are Your Generated Instances Truly Useful? GenBench-MILP: A Benchmark Suite for MILP Instance Generation by Luo, Yidong, Wang, Chenguang, Li, Dong, Yu, Tianshu

    Published 2025
    Fuente: arXiv
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  16. 16
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    Ex-Omni: Enabling 3D Facial Animation Generation for Omni-modal Large Language Models by Zhang, Haoyu, Li, Zhipeng, Guo, Yiwen, Yu, Tianshu

    Published 2026
    Fuente: arXiv
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  17. 17
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    Order Matters in Retrosynthesis: Structure-aware Generation via Reaction-Center-Guided Discrete Flow Matching by Wang, Chenguang, Zhou, Zihan, Bai, Lei, Yu, Tianshu

    Published 2026
    Fuente: arXiv
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  18. 18
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    Efficient Training of Multi-task Neural Solver for Combinatorial Optimization by Wang, Chenguang, Fu, Zhang-Hua, Lu, Pinyan, Yu, Tianshu

    Published 2023
    Fuente: arXiv
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  19. 19
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    On Diffusion Process in SE(3)-invariant Space by Zhou, Zihan, Liu, Ruiying, Zheng, Jiachen, Wang, Xiaoxue, Yu, Tianshu

    Published 2024
    Fuente: arXiv
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  20. 20
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    Boosting Protein Language Models with Negative Sample Mining by Xu, Yaoyao, Zhao, Xinjian, Song, Xiaozhuang, Wang, Benyou, Yu, Tianshu

    Published 2024
    Fuente: arXiv
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