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Wanjiang Weng

Master Student

Southeast University



About Me

Hello! I’m currently a Master student at Southeast University, where I’m fortunate to be supervised by Prof. Hongsong Wang. I also work closely with Prof. Pan Zhou at Singapore Management University. I have a wide range of research topics and interests, feel free to contact me if you have any questions or would like to discuss my works.

🎓 I’m currently looking for PhD position starting from 27Fall, If you are interested, please feel free to contact me.

Research Interests

News

  • Oct. 26🎉 Vimoo 1.0 is now live! I was responsible for its Video Enhancer, now a commercial API. Details ↗
  • Oct. 26🏅 Honored to be recognized as a Top Reviewer at NeurIPS 2026!
  • Oct. 26🎉 One paper has been accepted to TPAMI (MotionRFT).
  • Sep. 26🎉 One paper has been accepted to NeurIPS 2026 (BiMoGen).
  • Jan. 26🎉 One paper has been accepted to ICLR 2026 (EasyTune).
  • Nov. 25🎉 One paper has been accepted to AAAI 2026 (ReAlign).
  • Sep. 25🎉 One paper has been accepted to TPAMI (FoundSkelModel).
  • Dec. 24🎉 One paper has been accepted to AAAI 2025 (USDRL).

Publications (* equal contribution, † corresponding author)

  1. TPAMI
    MotionRFT: Unified Reinforcement Fine-Tuning for Text-to-Motion Generation
    Xiaofen Tan*, Wanjiang Weng*, Hongsong Wang†, Xin Geng, Fang Zhao, Liang Wang
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026.
    PDF Code Project
    NeurIPS
    BiMoGen: Bidirectional Motion-Text Generation via Unified Masked Discrete Diffusion
    Wanjiang Weng*, Yongliang Wu*, Xiaofeng Tan, Xingyu Zhu, Wenbo Zhu, Hongsong Wang†
    Advances in Neural Information Processing Systems (NeurIPS), 2026.
    PDF Code Project
    ICLR
    EasyTune: Efficient Step-Aware Fine-Tuning for Diffusion-Based Motion Generation
    Xiaofeng Tan*, Wanjiang Weng*, Haodong Lei, Hongsong Wang†
    International Conference on Learning Representations (ICLR), 2026
    PDF Code Project
    AAAI
    ReAlign: Text-to-Motion Generation via Step-Aware Reward-Guided Alignment
    Wanjiang Weng*, Xiaofeng Tan*, Junbo Wang, Guo-Sen Xie, Pan Zhou, Hongsong Wang†
    AAAI Conference on Artificial Intelligence (AAAI), 2026.
    PDF Code Project
    TPAMI
    Foundation Model for Skeleton-Based Human Action Understanding
    Hongsong Wang†, Wanjiang Weng, Junbo Wang, Fang Zhao,
    Guo-Sen Xie, Xin Geng, Liang Wang
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.
    PDF Code
    AAAI
    USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature Decorrelation
    Wanjiang Weng, Junbo Wang, Lei He, Guosen Xie, Hongsong Wang†
    AAAI Conference on Artificial Intelligence (AAAI), 2025.
    PDF Code

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