Weijie Ma 马炜杰

Ph.D.

Fudan & SII

Email:

weijiema [at] sii [dot] edu [dot] cn

Biography

I obtained my Ph.D. degree on computer science from the joint Ph.D. program of Fudan University and Shanghai Innovation Institute, advised by Prof. Han-Sen Zhong and Prof. Wanli Ouyang.

My research interests include computer vision & graphics (esp. virtual/extended reality, world model) and AI for science.

News

[05/2026] I defended my Ph.D. thesis.
[05/2026] Two papers were accepted by ICML.
[12/2025] The PRL paper was selected as one of Annual Physics Highlights of 2025 by APS Physics.
[10/2025] One paper was accepted by Nature.
[05/2025] One paper was accepted by PRL as Featured in Physics and Editor's Suggestion.

Publications

(*equal contribution; †corresponding author)

Periodic Bayesian Flow Networks with Additive Accuracy

Peijia Lin, Zihan Zhang, Zhangrui Zhao, Shaohao Rui, Junyi An, Yun-Fei Shi, Fenglei Cao, Weijie Ma†, Yutong Lu

ICML 2026

[Paper] [BibTeX]
A glasses-free 3D display uses AI to direct images straight to the viewer's eyes

Weijie Ma, Han-Sen Zhong

Nature Research Briefing 2025

[Link] [Related Paper] [BibTeX]
Glasses-Free 3D Display with Ultrawide Viewing Range using Deep Learning

Weijie Ma, Zhangrui Zhao, Canyu Zhao, Wanli Ouyang, Han-Sen Zhong

Nature 2025

[Paper] [Code] [BibTeX]
AI-Enabled Parallel Assembly of Thousands of Defect-Free Neutral Atom Arrays

Rui Lin, Han-Sen Zhong, You Li, Zhangrui Zhao, Le-Tian Zheng, Tai-Ran Hu, Hong-Ming Wu, Zhan Wu, Weijie Ma, Yan Gao, Yi-Kang Zhu, Zhao-Feng Su, Wanli Ouyang, Yu-Chen Zhang, Jun Rui, Ming-Cheng Chen, Chao-Yang Lu, Jian-Wei Pan

Physical Review Letters (PRL) 2025Featured in PhysicsEditors' SuggestionOne of Annual Physics Highlights of 2025

[Paper] [News] [News (CN)] [BibTeX]

Periodic Bayesian Flow Networks with Additive Accuracy

Peijia Lin, Zihan Zhang, Zhangrui Zhao, Shaohao Rui, Junyi An, Yun-Fei Shi, Fenglei Cao, Weijie Ma†, Yutong Lu

ICML 2026

[Paper] [BibTeX]
Optimizing Inference-Time Compute for Medical Reasoning via Uncertainty Quantification

Shaohao Rui, Kaitao Chen, Weijie Ma, Xiaosong Wang

ICML 2026

[Paper] [Project]
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, Ming Zhang, Qiguang Chen, Qipeng Guo, Tianlei Ying, Tianxiang Sun, Yining Zheng, Xinchi Chen, Jun Zhao, Ning Ding, Xuanjing Huang, Yugang Jiang, Xipeng Qiu

arXiv preprint 2026

[Paper] [Project] [Code]
Improving Medical Reasoning with Curriculum-Aware Reinforcement Learning

Shaohao Rui, Weijie Ma, Kaitao Chen, Xiaosong Wang

arXiv preprint 2025

[Paper] [Code] [BibTeX]
A glasses-free 3D display uses AI to direct images straight to the viewer's eyes

Weijie Ma, Han-Sen Zhong

Nature Research Briefing 2025

[Link] [Related Paper] [BibTeX]
Glasses-Free 3D Display with Ultrawide Viewing Range using Deep Learning

Weijie Ma, Zhangrui Zhao, Canyu Zhao, Wanli Ouyang, Han-Sen Zhong

Nature 2025

[Paper] [Code] [BibTeX]
AI-Enabled Parallel Assembly of Thousands of Defect-Free Neutral Atom Arrays

Rui Lin, Han-Sen Zhong, You Li, Zhangrui Zhao, Le-Tian Zheng, Tai-Ran Hu, Hong-Ming Wu, Zhan Wu, Weijie Ma, Yan Gao, Yi-Kang Zhu, Zhao-Feng Su, Wanli Ouyang, Yu-Chen Zhang, Jun Rui, Ming-Cheng Chen, Chao-Yang Lu, Jian-Wei Pan

Physical Review Letters (PRL) 2025Featured in PhysicsEditors' SuggestionOne of Annual Physics Highlights of 2025

[Paper] [News] [News (CN)] [BibTeX]

Ph.D. Period ↑

LSSInst: Improving Geometric Modeling in LSS-Based BEV Perception with Instance Representation

Weijie Ma*, Jingwei Jiang*, Yang Yang, Zehui Chen, Hao Chen

3DV 2025

[Paper] [Code] [BibTeX]
Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-modal Representation Consistency

Weijie Ma, Ye Zhu, Ruimao Zhang, Jie Yang, Yiwen Hu, Zhen Li, Li Xiang

MICCAI 2022Early Accepted

[Paper] [Code] [BibTeX]

Experiences

Research Intern, Shanghai Artificial Intelligence Laboratory

2023.08 - 2026.06 Mentor: Prof. Han-Sen Zhong
Visiting Student, ZJU State Key Laboratory of CAD&CG

2022.08 - 2023.06 Mentor: Prof. Hao Chen