About Me

I am a Ph.D. candidate at the University of Central Florida and an intern at ByteDance-Seed, working on reinforcement learning (RL) for multimodal generation. My Ph.D. research is advised by Chen Chen, and my work at ByteDance-Seed is mentored by Jie Wu and Rui Wang.

I am a core contributor (RL) to the Seedance series (1.5, 2.0, 2.5), Seedream 5.0 Pro, and other production-oriented multimodal generation projects, such as streaming long-video generation and world models.

I am on the job market, looking for US-based positions in post-training or agentic RL for video generation and world models.

Industry Projects

[ByteDance Seed] Seedance 2.5

ByteDance Seed Team (Ming Li as core contributor, RL)

[ByteDance Seed] Seedream 5.0 Pro

ByteDance Seed Team (Ming Li as core contributor, RL)

[ByteDance Seed] Seedance 2.0: Advancing Video Generation for World Complexity

Team Seedance (Ming Li as core contributor, RL)

[ByteDance Seed] Seedance 1.5 Pro: A Native Audio-Visual Joint Generation Foundation Model

Team Seedance (Ming Li as core contributor, RL)

[ByteDance Seed] RewardDance: Reward Scaling in Visual Generation

Jie Wu, Yu Gao, Zilyu Ye, Ming Li, Liang Li, Hanzhong Guo, Jie Liu, Zeyue Xue, Xiaoxia Hou, Wei Liu, Yan Zeng, Weilin Huang

Selected Publications

[CVPR'26] LoL: Longer than Longer, Scaling Video Generation to Hour

Justin Cui, Jie Wu, Ming Li, Tao Yang, Xiaojie Li, Rui Wang, Andrew Bai, Yuanhao Ban, Cho-Jui Hsieh

[ICLR'26] ViPO: Visual Preference Optimization at Scale

Ming Li, Jie Wu, Justin Cui, Xiaojie Li, Rui Wang, Chen Chen

[ICLR'26] Self-Forcing++: Towards Minute-Scale High-Quality Video Generation

Justin Cui, Jie Wu, Ming Li, Tao Yang, Xiaojie Li, Rui Wang, Andrew Bai, Yuanhao Ban, Cho-Jui Hsieh

[ICLR'26] Learning from Noisy Preferences: A Semi-Supervised Learning Approach to Direct Preference Optimization

Xinxin Liu, Ming Li, Zonglin Lyu, Yuzhang Shang, Chen Chen

[Preprint] Can World Simulators Reason? Gen-ViRe: A Generative Visual Reasoning Benchmark

Xinxin Liu, Zhaopan Xu, Ming Li, Kai Wang, Yong Jae Lee, Yuzhang Shang

[NeurIPS'25] CPO: Condition Preference Optimization for Controllable Image Generation

Zonglin Lyu, Ming Li, Xinxin Liu, Chen Chen

[ICCV'25] SuperEdit: Rectifying and Facilitating Supervision for Instruction-Based Image Editing

Ming Li, Xin Gu, Fan Chen, Xiaoying Xing, Longyin Wen, Chen Chen, Sijie Zhu

[ICLR'25] Multi-Reward as Condition for Instruction-based Image Editing

Xin Gu, Ming Li, Libo Zhang, Fan Chen, Longyin Wen, Tiejian Luo, Sijie Zhu

[ECCV'24] ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback.

Ming Li, Taojiannan Yang, Huafeng Kuang, Jie Wu, Zhaoning Wang, Xuefeng Xiao, Chen Chen

[ICCV'23] AlignDet: Aligning Pre-training and Fine-tuning in Object Detection.

Ming Li^*, Jie Wu^*, Xionghui Wang, Chen Chen, Jie Qin, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan

[CVPR'23] FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation.

Jie Qin^*, Jie Wu^*, Pengxiang Yan, Ming Li, Ren Yuxi, Xuefeng Xiao, Yitong Wang, Rui Wang, Shilei Wen, Xin Pan, Xingang Wang

Internships

2025.01 - Now, ByteDance-Seed, USA. Mentors: Jie Wu, Rui Wang.
2024.05 - 2024.12, ByteDance Inc, USA. Mentor: Sijie Zhu.
2022.01 - 2023.07, ByteDance Inc, Shenzhen, China. Mentor: Jie Wu.

Honors

NeurIPS 2024 Top Reviewers.
🏆 Champion of CVPR 2023 Long-form Video Understanding and Generation Challenge (Track 3: Question-driven Video Understanding).
🏆 Champion of CVPR 2022 AVA Accessibility Vision and Autonomy Challenge (Image Segmentation).
Graduate Artificial Intelligence Initiative (Aii) Doctoral Fellowship, the University of Central Florida. 2023.
ORCGS Doctoral Fellowship, the University of Central Florida. 2023.

Education

2023.08 - 2026.12, Ph.D., Computer Science, University of Central Florida, USA.
2020.09 - 2023.06, M.S., Computer Science and Technology, Xiamen University, China.
2016.09 - 2020.06, B.S., Software Engineering, Hainan University, China.