About
Leyang Shen is a Ph.D. student at National University of Singapore, advised by Prof. Chua Tat-Seng. He received his Bachelor's degree from Harbin Institute of Technology, Shenzhen (HITSZ), in 2025, during which he conducted research under the supervision of Prof. Liqiang Nie and Prof. Rui Shao.
His research broadly lies in Multi-Agent Systems, Reinforcement Learning, and Multi-Modal Learning and currently focuses on Multi-Agent Reinforcement Learning.
Selected Publications
View All →CARL: Critical Action Focused Reinforcement Learning for Multi-Step Agent
Leyang Shen, Yang Zhang, Chun Kai Ling, Xiaoyan Zhao, Tat-Seng Chua
arXiv preprint arXiv:2512.04949
MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models
Leyang Shen, Gongwei Chen, Rui Shao, Weili Guan, Liqiang Nie
Advances in Neural Information Processing Systems
In this work, we proposed a mixture of multimodal experts (MoME) framework to mitigate task interference and obtain a generalist MLLM.