Hi, I’m Jiwen. I am a first-year Ph.D. student at The University of Hong Kong (HKU), supervised by Prof. Xihui Liu. Currently, I also work as a research intern at Kling team of Kuaishou Technology under the guidance of Dr. Xintao Wang, working closely with my friend Yiran Qin. Prior to this, I received my Master’s degree from Peking University, where I was supervised by Prof. Jian Zhang. My research interests cover generative models and embodied AI, with a particular focus on physical and virtual applications of video generation models.

Research Highlights

My long-term research goal is to construct foundational world models and apply them in the fields of gaming and Embodied AI. Specifically, my research interests focus on two main aspects:

(1) Foundational world model research based on our proposed framework with five modules (as shown in the figure below);
(2) The application of world models in Embodied AI.

I am always open to academic and industrial collaborations, if you share the vision, please do not hesitate to contact me via Email or WeChat.

My Long Term Research Goal

Selected Publications

(*: indicates equal contribution; #: indicates corresponding author)

Research Topics: Interactive Video Generation / World Model / Embodied AI

SIGGRAPH Asia 2025

Context as Memory: Scene-Consistent Interactive Long Video Generation with Memory Retrieval

Jiwen Yu, Jianhong Bai, Yiran Qin, Quande Liu^#, Xintao Wang, Pengfei Wan, Di Zhang, Xihui Liu^#

SIGGRAPH Asia 2025

Paper | Project Page

ICCV 2025

GameFactory: Creating New Games with Generative Interactive Videos

Jiwen Yu^*, Yiran Qin^*, Xintao Wang^#, Pengfei Wan, Di Zhang, Xihui Liu^#

ICCV 2025 Highlight

Paper | Project Page | GitHub | Dataset

Preprint

Survey of Interactive Generative Video

Jiwen Yu^*, Yiran Qin^*, Haoxuan Che^*, Quande Liu^#, Xintao Wang, Pengfei Wan, Di Zhang, Kun Gai, Hao Chen, Xihui Liu^#

Position: Interactive Generative Video as Next-Generation Game Engine

Jiwen Yu^*, Yiran Qin^*, Haoxuan Che, Quande Liu, Xintao Wang^#, Pengfei Wan, Di Zhang, Xihui Liu^#

Survey Paper | Position Paper

ICML 2025

WorldSimBench: Towards Video Generation Models as World Simulators

Yiran Qin^*, Zhelun Shi^*, Jiwen Yu, Xijun Wang, Enshen Zhou, Lijun Li, Zhenfei Yin, Xihui Liu, Lu Sheng, Jing Shao, Lei Bai, Wanli Ouyang, Ruimao Zhang

ICML 2025

Paper | Project Page

CVPR 2025

SkillMimic: Learning Reusable Basketball Skills from Demonstrations

Yinhuai Wang^*, Qihan Zhao^*, Runyi Yu^*, Ailing Zeng, Jing Lin, Zhengyi Luo, Hok Wai Tsui, Jiwen Yu, Xiu Li, Qifeng Chen, Jian Zhang, Lei Zhang, Ping Tan

CVPR 2025 Highlight

Paper | Project Page | GitHub

Past Research Topic: Training-free Applications of Diffusion Model

My research journey began during my Master’s studies, coinciding with the paradigm shift brought by diffusion models in generative AI (2021-2023). This revolutionary advancement inspired my initial research on zero-shot applications of diffusion models, spanning multiple domains including image restoration, generation, editing, steganography, and video synthesis.

Project