Xinyu Gong

Machine Learning Engineer @ TikTok

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San Jose, CA

I’m Xinyu Gong, a Machine Learning Engineer at TikTok. My research interests focus on generative models for image/video synthesis.

Before TikTok, I did my Ph.D. studies in Electrical & Computer Engineering at UT Austin (advised by Dr. Atlas Wang). I received my B.E. in Computer Science from the University of Electronic Science and Technology of China.

news

Oct 16, 2023 I joined TikTok as a Machine Learning Engineer on Oct 16, 2023.

selected publications

  1. MMG-Ego4D: Multimodal Generalization in Egocentric Action Recognition
    Xinyu Gong, Sriram Mohan, Naman Dhingra, and 4 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
  2. Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis
    Wenhu Chen, Weilin Huang, Xinyu Gong, and 2 more authors
    In Advances in Neural Information Processing Systems (NeurIPS), 2022
  3. Unified Implicit Neural Stylization
    Zhiwen Fan, Yu Jiang, Peihao Wang, and 3 more authors
    In European Conference on Computer Vision (ECCV), 2022
  4. Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective
    Wei Chen, Xinyu Gong, and Zhangyang Wang
    In International Conference on Learning Representations (ICLR), 2021