Jialong Wu

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Ph.D. Student
Tsinghua University
wujialong0229 (at) gmail.com

About Me

I am currently a third-year Ph.D. student at Machine Learning Group (THUML), School of Software, Tsinghua University, advised by Prof. Mingsheng Long. Before that, I received my Bachelor’s degrees in Software Engineering, and Pure and Applied Mathematics (second degree), from Tsinghua University. In high school, I was quite into competitive programming and used to compete in Olympiad in Informatics (OI).

My research goal is to develop fundamental techniques in pursuit of general decision intelligence and advance their applications in the real world (both physically and computationally). Currently, my research interests include:

My Quote

“The people who are crazy enough to think they can change the world, are the ones who do.” —Think Different

News

Publications & Preprints [Google Scholar] [Semantic Scholar] [DBLP]

  1. arXiv
    CompilerDream: Learning a Compiler World Model for General Code Optimization
    Chaoyi Deng*, Jialong Wu*, Ningya Feng, Jianmin Wang, Mingsheng Long#
    arXiv preprint, 2024.
    arXiv BibTeX
    arXiv
    Long-Sequence Recommendation Models Need Decoupled Embeddings
    Ningya Feng*, Junwei Pan*, Jialong Wu*, Baixu Chen, Ximei Wang, Qian Li, Xian Hu, Jie Jiang, Mingsheng Long#
    arXiv preprint, 2024.
    arXiv BibTeX
    NeurIPS
    iVideoGPT: Interactive VideoGPTs are Scalable World Models
    Jialong Wu*, Shaofeng Yin*, Ningya Feng, Xu He, Dong Li, Jianye Hao, Mingsheng Long#
    Conference on Neural Information Processing Systems (NeurIPS), 2024.
    Project Page arXiv Code Models BibTeX
    ICML
    HarmonyDream: Task Harmonization Inside World Models
    Haoyu Ma*, Jialong Wu*, Ningya Feng, Chenjun Xiao, Dong Li, Jianye Hao, Jianmin Wang, Mingsheng Long#
    International Conference on Machine Learning (ICML), 2024.
    arXiv Code Poster Slides Talk Blog BibTeX
    NeurIPS
    Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning
    Jialong Wu*, Haoyu Ma*, Chaoyi Deng, Mingsheng Long#
    Conference on Neural Information Processing Systems (NeurIPS), 2023.
    arXiv Code Poster Slides Blog BibTeX
    ICML
    CLIPood: Generalizing CLIP to Out-of-Distributions
    Yang Shu*, Xingzhuo Guo*, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long#
    International Conference on Machine Learning (ICML), 2023.
    arXiv Code BibTeX
    NeurIPS
    Supported Policy Optimization for Offline Reinforcement Learning
    Jialong Wu, Haixu Wu, Zihan Qiu, Jianmin Wang, Mingsheng Long#
    Conference on Neural Information Processing Systems (NeurIPS), 2022.
    arXiv Code Poster Slides BibTeX
    CoRL
    Out-of-Dynamics Imitation Learning from Multimodal Demonstrations
    Yiwen Qiu, Jialong Wu, Zhangjie Cao, Mingsheng Long#
    Conference on Robot Learning (CoRL), 2022.
    arXiv Code BibTeX
    ICML
    Flowformer: Linearizing Transformers with Conservation Flows
    Haixu Wu, Jialong Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long#
    International Conference on Machine Learning (ICML), 2022.
    arXiv Code BibTeX
    2. * Equal Contribution, # Corresponding Author

Invited Talks

Selected Projects [GitHub]

Education

Honors & Awards

Professional Services

Reviewer | PC Member

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