Yuming Li

I am a PhD student at the University of Hong Kong, affiliated with the Musketeers Foundation Institute of Data Science, where I am advised by Andrew Luo.

I received my Master's degree in Software Engineering from Peking University, where I worked with Shanghang Zhang. Before that, I earned my Bachelor's degree in Computer Science and Technology from Northwestern Polytechnical University.

My research focuses on real-time long video generation, reinforcement learning alignment for diffusion and video generation models, controllable multimodal generation, and embodied world modeling. I am interested in building generative video systems that are fast, controllable, and temporally consistent.

Email / Google Scholar / Github

Research

I work on generative video systems for long-horizon, controllable, and real-time generation. My recent work studies structured RL post-training for diffusion models, streaming audio-visual generation, fast video initialization, and multimodal world models.

Selected Research
	Long-Horizon Audio-Visual Generation for Persistent Stories and Interactive Worlds Nan Duan, Haoyang Huang, Weiyang Jin, Haoran Li, Yaowei Li, Yuming Li, et al. Core Contributor JoyAI-Echo-1.5 · Technical Report, August 2026 project page / arXiv / code A unified audio-visual system for persistent multi-shot stories and interactive 6-DoF worlds, powered by composable cross-shot memory and few-step causal generation.
	JoyAI-Echo: Pushing the Frontier of Long Audio-Visual Generation Echo Team @ Joy Future Academy, JD; Yuming Li* (co-first author, listed second) * Equal contribution Technical Report, 2026 · 1.9k GitHub stars project page / technical report / code / Hugging Face A memory-driven audio-visual generation framework for minute-level coherent video and interactive generation.
	OmniForcing: Unleashing Real-time Joint Audio-Visual Generation Yaofeng Su, Yuming Li, Zeyue Xue, Jie Huang, Siming Fu, Haoran Li, Haoyang Huang, Nan Duan * Equal contribution ECCV 2026 · Oral Presentation project page / arXiv / code / model A real-time streaming framework for joint audio-visual generation with long-form multimodal consistency.
	BranchGRPO: Stable and Efficient GRPO with Structured Branching in Diffusion Models Yuming Li, Yikai Wang, Yuying Zhu, Zhongyu Zhao, Ming Lu, Qi She, Shanghang Zhang * Equal contribution ICLR 2026 OpenReview / arXiv / project page / code A structured branching rollout strategy for stable and efficient GRPO training in diffusion models.

Experience

JD.com Exploratory Research Institute
Research Intern, 2025-present.

Kuaishou - Kling AI
Research Intern, 2025.

Hedra AI
Research Intern, 2025.

ByteDance
Research Intern, 2024-2025.

Tencent Robotics X
Research Intern, 2024.

Template inspired by Andrew Luo. Last updated October 2026.

Research

Selected Research

Experience