Jiangkai Wu (吴 将凯)

Affiliations. Peking University, Beijing, China.

prof_pic.jpg

I am a Ph.D. student at Peking University majoring in Computer Science, advised by Prof. Xinggong Zhang. My current research interest is applying generative vision and graphics to video streaming to optimize system performance. My work involves algorithm design and implementation optimization, spanning computer networks, vision, graphics, and machine learning.

My current research interest:

  • Low bandwidth: Employing generative large models (such as Sora, Stable Diffusion) to inverse-generate low bitrate representations for videos.
  • Low latency: Using predicted frames to instantly respond to user actions, achieving a remote interaction system with low motion-to-photon latency.
  • High immersion: Building a high-freedom, high-fidelity video streaming system based on NeRF or 3DGS, optimizing perceptual quality, efficiency and bitrate.

Contact me at: jiangkai.wu@stu.pku.edu.cn

selected publications

  1. SIGCOMM
    ZGaming.png
    ZGaming: Zero-latency 3D cloud gaming by image prediction
    Jiangkai Wu, Yu Guan, Qi Mao, Yong Cui, Zongming Guo, and Xinggong Zhang
    In Proceedings of the ACM SIGCOMM 2023 Conference, 2023
  2. SIGGRAPH
    Actray.jpg
    ActRay: Online Active Ray Sampling for Radiance Fields
    Jiangkai Wu, Liming Liu, Yunpeng Tan, Quanlu Jia, Haodan Zhang, and Xinggong Zhang
    In SIGGRAPH Asia 2023 Conference Papers, 2023
  3. ArXiv
    promptus.PNG
    Promptus: Can Prompts Streaming Replace Video Streaming with Stable Diffusion
    Jiangkai Wu, Liming Liu, Yunpeng Tan, Junlin Hao, and Xinggong Zhang
    arXiv preprint arXiv:2405.20032, 2024
more publications