Jiangkai Wu (吴 将凯)

Affiliations. Peking University, Beijing, China.

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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
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    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
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    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
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    Promptus: Can Prompts Streaming Replace Video Streaming with Stable Diffusion
    Jiangkai Wu, Liming Liu, Yunpeng Tan, Junlin Hao, Liang Zhang, and Xinggong Zhang
    arXiv preprint arXiv:2405.20032, 2024
  4. ACMMM
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    Identity-aware attribute recognition via real-time distributed inference in mobile edge clouds
    Zichuan Xu, Jiangkai Wu_(first_student_author), Qiufen Xia, Pan Zhou, Jiankang Ren, and Huizhi Liang
    In Proceedings of the 28th ACM International Conference on Multimedia, 2020
  5. APNet
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    PromptMobile: Efficient Promptus for Low Bandwidth Mobile Video Streaming
    Liming Liu, Jiangkai Wu, Haoyang Wang, Peiheng Wang, Xinggong Zhang, and Zongming Guo
    Accepted by APNet, 2025
  6. ICME
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    3DGCoding: Novel Framework for 3D Gaussian Video Incremental Training and Coding
    Peiheng Wang, Haodan Zhang, Quanlu Jia, Jiangkai Wu, Liming Liu, Haoyang Wang, and Xinggong Zhang
    Accepted by ICME, 2025
  7. Under Review
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    Gecko: High-Quality Video Streaming via Generative Prompt Chunks
    Jiangkai Wu, Liming Liu, Yong Cui, and Xinggong Zhang
    Under Review, 2025
  8. ICC
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    SRFC: Scalable Radiance Fields Streaming with Planar Codec
    Quanlu Jia, Haodan Zhang, Haoyang Wang, Liming Liu, Jiangkai Wu, Xinggong Zhang, and Zongming Guo
    In ICC 2024-IEEE International Conference on Communications, 2024
  9. EMS
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    Low-bitrate Volumetric Video Streaming with Depth Image
    Junquan Zhong, Haodan Zhang, Quanlu Jia, Jiangkai Wu, Peiheng Wang, Haoyang Wang, Liming Liu, Xinggong Zhang, and Zongming Guo
    In Proceedings of the 2024 SIGCOMM Workshop on Emerging Multimedia Systems, 2024
more publications