Ying-Cong Chen · Ying-Cong Chen

Ying-Cong Chen

Ying-Cong Chen

Assistant Professor

Prospective Students

My current research is increasingly focused on AI systems grounded in real-world deployment, real data, and long-term data flywheels. I am especially interested in problems that cannot be solved by simply following existing papers, benchmarks, or publication-driven templates.

I am looking for students who are willing to work on uncertain, long-horizon problems, care about real-world impact and durable technical value, and can stay focused without being driven solely by short-term metrics such as paper counts, internships, or resume building.

If you are primarily looking for a conventional publication-driven PhD path, frequent industry internships, or short-term career optimization, my group may not be the best fit. If you resonate with this direction, please read my full advising statement before reaching out.

Read the full advising statement

Recent News

Recent Publications

Harold H. Chen, Disen Lan, Wen-Jie Shu, Qingyang Liu, Zihan Wang, Sirui Chen, Wenkai Cheng, Kanghao Chen, Hongfei Zhang, Zixin Zhang, Rongjin Guo, Yu Cheng, Ying-Cong Chen. TiViBench: Benchmarking Think-in-Video Reasoning for Video Generative Models. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.

Read the original on yingcong.me ↗