Gongye Liu

Gongye Liu (刘功烨)

E-mail: gongyeliuu [AT] gmail.com

About Me

Hi, I'm Gongye Liu, an incoming Ph.D. student at The Hong Kong University of Science and Technology (HKUST), supervised by Prof. Wenhan Luo. My current research focus on GenAI. I'm particularly interested in diffusion/flow-matching generative models.

Prior to that, I obtained my M.Sc degree(2022-2025) in Artificial Intelligence from Tsinghua University, supervised by Professor Yujiu Yang. I received my B.Eng degree(2018-2022) in Beihang University.

Education

	The Hong Kong University of Science and Technology Ph.D. Student in Individualized Interdisciplinary Program (IIP) Supervisor: Prof. Wenhan Luo	Sep. 2025 - Present
	Tsinghua University Master Degree in Artificial Intelligence Supervisor: Prof. Yujiu Yang	Sep. 2022 - Jun. 2025
	Beihang University Bachelor Degree in Aircraft Control and Information Engineering	Sep. 2018 - Jun. 2022

Selected Publications
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	Preprint Flow-GRPO: Training Flow Matching Models via Online RL Jie Liu, Gongye Liu, Jiajun Liang, Yangguang Li, Jiaheng Liu, Xintao Wang, Pengfei Wan, Di Zhang, Wanli Ouyang arXiv, 2025 arXiv / Visualization / Code GRPO on Flow Matching models. Achieving 0.95 on GenEval Benchmark.
	Preprint Improving Video Generation with Human Feedback Jie Liu, Gongye Liu, Jiajun Liang, Ziyang Yuan, Xiaokun Liu, Mingwu Zheng, Xiele Wu, Qiulin Wang, Wenyu Qin, Menghan Xia, Xintao Wang, Xiaohong Liu, Fei Yang, Pengfei Wan, Di Zhang, Kun Gai, Yujiu Yang, Wanli Ouyang arXiv, 2025 arXiv / Project Page / Code / Dataset A systematic pipeline that leverage human feedback to harnesses current challenges in video generation and refine the flow-based VDMs.
	TMLR 2025 Autoregressive Models in Vision: A Survey Jing Xiong, Gongye Liu, Lun Huang, Chengyue Wu, Taiqiang Wu, Yao Mu, Yuan Yao, Hui Shen, Zhongwei Wan, Jinfa Huang, Chaofan Tao, Shen Yan, Huaxiu Yao, Lingpeng Kong, Hongxia Yang, Mi Zhang, Guillermo Sapiro, Jiebo Luo, Ping Luo, Ngai Wong TMLR, 2025 arXiv / Paper List A comprehensive survey on the recent development of visual autoregressive models.
	TOG 2024 StyleCrafter: Taming Stylized Video Diffusion with Reference-Augmented Adapter Learning Gongye Liu, Menghan Xia, Yong Zhang, Haoxin Chen, Jinbo Xing, Yibo Wang, Xintao Wang, Ying Shan, Yujiu Yang SIGGRAPH Asia(Journal Track), 2024 arXiv / Paper / Project Page / Code Reference based Stylized Text-to-Image/Video Generation with Limited Stylized Data.
	ECCV 2024 DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors Jinbo Xing, Menghan Xia, Yong Zhang, Haoxin Chen, Wangbo Yu, Hanyuan Liu, Gongye Liu, Xintao Wang, Ying Shan, Tien-Tsin Wong ECCV (Oral Presentation), 2024 arXiv / Project Page / Code An Open-Domain High-Quality Image-to-Video Foundation Model.
	IJCAI 2024 Accelerating Diffusion Models for Inverse Problems through Shortcut Sampling Gongye Liu, Haoze Sun, Jiayi Li, Fei Yin, Yujiu Yang IJCAI, 2024 arXiv / Paper / Code / Poster Zero-shot Image Restoration based on Diffusion

Internship

	KwaiVGI, Kuaishou Research Intern, focus on RLHF in Vision Generation Mentor: Dr. Menghan Xia and Jiajun Liang and Dr. Xintao Wang	Sep. 2025 - Present
	Hunyuan Video Generation Center, Tencent Engineering Intern, focus on Human-Centered AIGC Mentor: Hongfa Wang	Apr. 2024 - Aug. 2024
	AILab CVC, Tencent Research Intern, focus on Controllable Video Generation Mentor: Dr. Menghan Xia	Jul. 2023 - Mar. 2024

Reviewer

2025 | IJCAI

Last updated: May 2025
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