Biography
I am a Ph.D. student (2023-2028) jointly at the College of Computer Science and Artificial Intelligence, Fudan University, and the Shanghai Innovation Institute, advised by Prof. Xipeng Qiu and Prof. Xuanjing Huang. I received my bachelor’s degree with honors from Northeastern University (2019-2023).
My current research focuses on AI Scientist, reinforcement learning, and multimodal reasoning.
I am always open to academic collaboration and discussion. Please feel free to contact me at jqtong25@m.fudan.edu.cn.
Publications
AI Can Learn Scientific Taste
Jingqi Tong, Mingzhe Li, Hangcheng Li, Yongzhuo Yang, Yurong Mou, Weijie Ma, Zhiheng Xi, Hongji Chen, Xiaoran Liu, Qinyuan Cheng, et al.
Project
▸ 100k+ total views on X. Discussed by Ethan Mollick (LinkedIn), alphaXiv, HuggingPapers, @ihtesham2005, @anishmoonka.
▸ 20k+ total views on WeChat Official Account. Reported by PaperWeekly, Shanghai Innovation Institute.
Thinking with Video: Video Generation as a Promising Multimodal Reasoning Paradigm
Jingqi Tong, Yurong Mou, Hangcheng Li, Mingzhe Li, Yongzhuo Yang, Ming Zhang, Qiguang Chen, Tianyi Liang, Xiaomeng Hu, Yining Zheng, et al.
CVPR 2026
Project
▸ 30k+ total views on X. Discussed by AK, OpenMOSS, HuggingPapers.
▸ About 60k+ total views, 1000+ repost on RedNote. Discussed by by 18 creators, including 邱锡鹏, 李磊NLP, 实对称齐次正定的炼丹变换 , 大模型知识分享 and other 14 creators.
▸ 4k+ total views on WeChat Official Account · Reported by 量子位.
Game-RL: Synthesizing Multimodal Verifiable Game Data to Boost VLMs' General Reasoning
Jingqi Tong, Jixin Tang, Hangcheng Li, Yurong Mou, Ming Zhang, Jun Zhao, Yanbo Wen, Fan Song, Jiahao Zhan, Yuyang Lu, et al.
ICLR 2026
Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems
Jun Zhao, Jingqi Tong, Yurong Mou, Ming Zhang, Qi Zhang, Xuanjing Huang
EMNLP 2024
▸ 20k+ total views on WeChat Official Account · Reported by FudanNLP.
LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training
Tong Zhu, Xiaoye Qu, Daize Dong, Jiacheng Ruan, Jingqi Tong, Conghui He, Yu Cheng
EMNLP 2024
Invited Talks
Paradigm Shift in Intelligence Evolution
AI Can Learn Scientific Taste
Thinking with Video: Video Generation as a Promising Multimodal Reasoning Paradigm
Qwen Team Invited Talk. Carnegie Mellon University (CMU) - Video Model Journal Club Invited. NICE NLP Invited. AI TIME Invited.
Game-RL: Synthesizing Multimodal Verifiable Game Data to Boost VLMs' General Reasoning
Qwen Team and MiMo Team Invited Talk