Tianyu Lin

Tianyu Lin

CS PhD Student

UIUC & Harvard MGH

Research Interests

Medical Image Analysis
Agentic AI
AI for Healthcare

About

I am a CS PhD student at University of Illinois Urbana-Champaign (UIUC), co-advised by Prof. Jimeng Sun and Prof. Quanzheng Li from Harvard MGH.

I earned my Master’s degree at Johns Hopkins University and my Bachelor’s degree at Sun Yat-sen University, both in Biomedical Engineering.

I am all into building reliable medical vision analysis systems. If you are interested in working with me, please feel free to email me :)

I am actively seeking a Summer 2027 internship.

Selected Publications

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Interpretable agentic AI system with localized reasoning for radiology

Interpretable agentic AI system with localized reasoning for radiology

Wenting Chen, Yi Dong, Zhaojun Ding, Yucheng Shi, Fang Zeng, Yifan Zhou, Huaqin Zhao, Yijun Luo, Tianyu Lin, Yihang Su, Yichen Wu, Jasmine Liu, Kai Zhang, Wenxuan Wang, Zhen Xiang, Tianming Liu, Ninghao Liu, Quanzheng Li, Lichao Sun, Yixuan Yuan, Xiang Li

npj Digital Medicine

ProjectPaperCodearXiv
Are Pixel-Wise Metrics Reliable for Sparse-View Computed Tomography Reconstruction?

Are Pixel-Wise Metrics Reliable for Sparse-View Computed Tomography Reconstruction?

Tianyu Lin, Xinran Li, Chuntung Zhuang, Qi Chen, Yuanhao Cai, Kai Ding, Alan L. Yuille, Zongwei Zhou

The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025), RSNA 2025 Oral

It's time to evaluate anatomical completeness in CT reconstruction!

PanTS: The Pancreatic Tumor Segmentation Dataset

PanTS: The Pancreatic Tumor Segmentation Dataset

Wenxuan Li, Xinze Zhou, Qi Chen, Tianyu Lin, Pedro R. A. S. Bassi, Szymon Plotka, Jaroslaw B. Cwikla, Xiaoxi Chen, Chen Ye, Zheren Zhu, Kai Ding, Heng Li, Kang Wang, Yang Yang, Yucheng Tang, Daguang Xu, Alan L. Yuille, Zongwei Zhou

The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025) Datasets and Benchmarks Track

ProjectPaperCodearXiv
Learning Segmentation from Radiology Reports

Learning Segmentation from Radiology Reports

Pedro R. A. S. Bassi, Wenxuan Li, Jieneng Chen, Zheren Zhu, Tianyu Lin, Sergio Decherchi, Andrea Cavalli, Kang Wang, Yang Yang, Alan L. Yuille, Zongwei Zhou

Medical Image Computing and Computer Assisted Intervention (MICCAI 2025)

🏆 Best Paper Award Runner-up (top 2 in 1,027 papers)

PaperCodearXiv
Stable diffusion segmentation for biomedical images with single-step reverse process

Stable diffusion segmentation for biomedical images with single-step reverse process

Tianyu Lin, Zhiguang Chen, Zhonghao Yan, Weijiang Yu, Fudan Zheng

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2024)

A single-step latent space diffusion segmentation model

ProjectPaperCodearXiv

News

2025-09

Two papers have been accepted by NeurIPS 2025! Three abstracts have been selected as RSNA 2025 Oral!

2025-06

Two papers have been accepted by MICCAI 2025!

2025-01

Two papers have been accepted by ISBI 2025. One paper has been accepted by ESWA.

2024-06

One paper has been accepted by MICCAI 2024!