Yulong Chen

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Yulong is a research assistant at KAI Lab, City University of Hong Kong (Dongguan), and an incoming Ph.D. student at the College of Computing, City University of Hong Kong in spring 2027, to be supervised by Prof. Kai Wang and Prof. Kede Ma. His research interests include 3D generation, world models, and spatio-temporal modeling.

Services: ICRA 2025/2026 Reviewer, ICLR 2027 Reviewer.


News

Sep 26, 2026 The paper “Refinement Is Inherently Editable: Training-Free Prompt-to-Prompt Image Editing with Generative Refinement Network” is shown in arxiv / code.
Sep 25, 2026 The paper “One World, Dual Timeline: Decoupled Spatio-Temporal Gaussian Scene Graph for 4D Cooperative Driving Reconstruction” is accepted by NeurIPS 2026. See you in Paris!

Selected Publications

  1. refineedit.png
    Refinement Is Inherently Editable: Training-Free Prompt-to-Prompt Image Editing with Generative Refinement Network
    Yulong Chen, Ziqian Zhang, Haoyu Zhang, Ao He, Senmao Li†, and Kai Wang†
    arXiv preprint arXiv:2609.20633, 2026
  2. dust.png
    One World, Dual Timeline: Decoupled Spatio-Temporal Gaussian Scene Graph for 4D Cooperative Driving Reconstruction
    Yulong Chen*, Xiaoyun Dong*, Haoyu Zhang*, Zongxian Yang, Lewei Xie, Xinke Li†, Yifan Zhang†, Kai Wang†, and Jianping Wang
    NeurIPS 2026, 2026