About
I am currently a master student at Beijing University of Posts and Telecommunications, advised by Prof. Kongming Liang and Prof. Zhanyu Ma at the PRIS-CV Lab. I earned my Bachelor's degree in a joint program between Beijing University of Posts and Telecommunications and Queen Mary University of London in 2024.
My current research focuses on Embodied AI. I am currently seeking PhD opportunities for Fall 2027. If you are interested in working with me, please feel free to email me :)
News
LaST-R1 accepted to NeurIPS 2026 (CCF-A)! 🎉
One paper accepted to EMNLP 2026 (CCF-B)! 🎉
LingT2I accepted to ACMMM 2026 (CCF-A)! 🎉
Hepto-LLaVA accepted to MICCAI 2026 (CCF-B)! 🎉
Joined Simplexity Robotics as a Research Intern, led by Peng Jia 🧑💻
Joined Peking University as a Research Assistant, supervised by Shanghang Zhang 🧑💻
Joined Shanghai AI Lab as a Remote Research Assistant, supervised by Weijia Li and Conghui He 🧑💻
Released Step-GUI! 🎉
MedReasoner accepted to AAAI 2026 (CCF-A)! 🎉
Joined StepFun as a Research Intern, led by Zheng Ge and Xiangyu Zhang 🧑💻
TRIG accepted to ICCV 2025 (CCF-A)! 🎉
PGP-SAM accepted to ISBI 2025! 🎉
Joined BUPT AI, PRIS-CV as a Master Student, advised by Kongming Liang and Zhanyu Ma 👨🎓
Selected as an outstanding graduate of Beijing! 🎉
One paper accepted to MICCAI 2024 (CCF-B)! 🎉
Research Trajectory
Multimodal evaluation, reasoning and post-training for MLLMs, and new foundation model architectures and post-training techniques for Embodied AI.
Evaluation
Developing benchmarks for AIGC and MLLMs.
Multimodal Large Language Models
Exploring reasoning abilities and post-training methods for MLLMs.
Embodied AI
Exploring new foundation model architectures and post-training techniques for Embodied AI.
Evaluation
Developing benchmarks for AIGC and MLLMs.
Multimodal Large Language Models
Exploring reasoning abilities and post-training methods for MLLMs.
Embodied AI
Exploring new foundation model architectures and post-training techniques for Embodied AI.
Selected Publications
View All →*: Equal Contribution, †: Project Lead, ‡: Corresponding Author
LaST-R1: Reinforcing Robotic Manipulation via Adaptive Physical Latent Reasoning
Hao Chen*, Jiaming Liu*†, Zhonghao Yan*, Nuowei Han*, Renrui Zhang†, Chenyang Gu, Jialin Gao, Ziyu Guo, Siyuan Qian, Yinxi Wang, Peng Jia, Chi-Wing Fu, Shanghang Zhang‡, Pheng-Ann Heng
MedReasoner: Reinforcement Learning Drives Reasoning Grounding from Clinical Thought to Pixel-Level Precision
Zhonghao Yan*, Muxi Diao*, Yuxuan Yang, Ruoyan Jing, Jiayuan Xu, Kaizhou Zhang, Lele Yang, Yanxi Liu, Kongming Liang‡, Zhanyu Ma
Trade-offs in image generation: How do different dimensions interact?
Sicheng Zhang*, Binzhu Xie*, Zhonghao Yan*, Yuli Zhang, Donghao Zhou, Xiaofei Chen, Shi Qiu, Jiaqi Liu, Guoyang Xie‡, Zhichao Lu