Me
Junyao Gao (高俊尧)
Phd Candidate @ Tongji

About

Hello, I am a third-year Computer Science Ph.D. student at Tongji University, luckily advised by Prof. Cairong Zhao. Prior to this, I obtained my bachelor degree in Intelligence Science and Technology from NJUST in 2022. At present, I am doing research intern in OpenMMLab of Shanghai AI Laboratory, Shanghai, supervised by Dr. Yanan Sun. I also have a deep academic collaboration with Dr. Xinyang Jiang from Microsoft Research Asia. My research interests are in image/video generation, privacy & security and person Re-ID, etc.

Education


Ph.D.           Sep. 2022 - Present
                    Tongji University, Shanghai, China.
                    Ph.D. student in Computer Science
B.S.             Sep. 2018 - Jun. 2022
                    NJUST , Nanjing, China.
                    B.S.(Honors) in Intelligence Science and Technology

Experiences

  • Nov. 2023 -- May. 2025, Shanghai AI Lab, Shanghai, China
         Research Intern, work on image/video generation.

    • News

    • We release LEGO-Puzzles, a new benchmark with 1,100 LEGO-based VQA tasks that evaluates MLLMs' ability to perform multi-step spatial reasoning.
    • One paper (UniDD) about dataset distillation accepted to CVPR 2025.
    • One paper (FaceShot) about portrait animation accepted to ICLR 2025.
    • One paper (DiffPano) about panorama generation accepted to IJCV.
    • We release StyleShot, a style transfer method capable of generating the high-quality stylized images that match the desired style from any reference image without test-time style-tuning.
    • One paper (Re-ID leak) about MIA in Re-ID accepted to IJCV.
    • One paper about fine-grained classification accepted to AAAI 2024.
    • One paper (SDMIA) about MIA in Re-ID accepted to AAAI 2023 as the oral presentation.

    Selected Publications

    Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling
    Zijie Huang*, Wanjia Zhao*, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang (* equal contribution)
    [ Paper] [www] [Code] [Project Website]
    Conference on Neural Information Processing Systems (NeurIPS 2024) Best Paper Award @ NeurIPS 2023 DLDE
    DeepSeek-Prover-V1. 5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search
    Huajian Xin, ZZ Ren, Junxiao Song, Zhihong Shao, Wanjia Zhao, Haocheng Wang, Bo Liu, Liyue Zhang, Xuan Lu, Qiushi Du, Wenjun Gao, Qihao Zhu, Dejian Yang, Zhibin Gou, ZF Wu, Fuli Luo, Chong Ruan
    [ Paper] [www] [Code] [Huggingface] [X.com]
    International Conference on Learning Representations (ICLR 2025)

    Positive Distribution Pollution: Rethinking Positive Unlabeled Learning From a Unified Perspective
    Qianqiao Liang, Mengying Zhu, Yan Wang, Xiuyuan Wang, Wanjia Zhao, Mengyuan Yang, Hua Wei, Bing Han, Xiaolin Zheng
    AAAI Conference on Artificial Intelligence (AAAI 2023)
    [ Paper] [www]

    Selected Honors & Awards

    Academic Services

    Conference Reviewer: NeurIPS, ICLR, ICML, ICCV, CVPR, ACM MM, AISTATS
    Journal Reviewer: IJCV

    Misc

    I am willing to try something new, like guitar, photography and writing poem, and always full of novel ideas.
    Enjoy participating in meaningful social activities (connect with the community).
    I am also used to going to the gym in the evening, and running or swimming in the morning.

    My Icon Friends

    Shuguang Dou, Zifan Song, Yuanpeng Tu, Yubin Wang, Xin Jiang