Generative Medical AI · Surgical Intelligence

I am Tong (Davis) Chen, a medical AI researcher who recently defended my Ph.D. thesis at The University of Sydney, supervised by Associate Prof. Luping Zhou. My work spans generative models, multimodal large language models, and vision-language-action systems, with a focus on clinically meaningful medical and surgical intelligence.

I have been fortunate to work with Prof. Hongliang Ren (CUHK), Paul S. Scotti (Sophont), and Xiaoyu Yue (XPENG Robotics).

01

Generative Medical Vision

Diffusion and autoregressive models for restoration, reconstruction, and controllable generation.

02

Surgical Intelligence

Open-world perception, multimodal understanding, and spatially grounded assistance for surgery.

03

VLA & Foundation Models

Vision-language-action learning and medical foundation models for interactive clinical systems.

Updates

News

One paper was accepted by ECCV 2026.

Selected as a DAAD AINeT Fellow in the AI in Neuroscience track.

One paper was accepted by CVPR 2026.

Two papers were accepted by AAAI 2026.

Received the NeurIPS 2025 Top Reviewer Award.

SurgSora, WiD-PET, and Endo-4DGX were accepted by MICCAI 2025.

LighTDiff received the MICCAI 2024 Best Paper Runner-Up Award.

MindEye2 was accepted by ICML 2024.

LLCaps was selected for an oral presentation at MICCAI 2023.

Selected work

Publications

† denotes equal contribution.

AAAI 2026Generative restoration

EndoIR: Degradation-Agnostic All-in-One Endoscopic Image Restoration via Noise-Aware Routing Diffusion

T. Chen†, X. Ma†, L. Bai†, W. Wang, Y. Sun, L. Zhou

MICCAI 2025Low-dose reconstruction

WiD-PET: PET Image Reconstruction from Low-Dose Data Using a Wavelet-Informed Diffusion Model with Fast Inference

Q. Lyu†, T. Chen†, E. Guo†, Y. Wang, L. Zhou

Paper and code coming soon.

MICCAI 2024Best Paper Runner-Up · Oral

LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion

T. Chen†, Q. Lyu†, L. Bai†, E. Guo, H. Gao, X. Yang, H. Ren, L. Zhou

MICCAI 2024Unified illumination correction

EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy

L. Bai†, T. Chen†, Q. Tan†, W. J. Nah, Y. Li, Z. He, S. Yuan, J. Wu, Z. Chen, M. Islam, Z. Li, H. Liu, H. Ren

ICML 2024fMRI-to-image decoding

MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

P. S. Scotti†, M. Tripathy†, C. K. T. Villanueva†, R. Kneeland†, T. Chen, et al.

MICCAI 2023Oral · Top 3%

LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion

L. Bai†, T. Chen†, Y. Wu, A. Wang, M. Islam, H. Ren

Background

Experience

Research Intern · Alibaba DAMO Academy

Alibaba Group, Hangzhou, China.

Researcher · MedARC Neuroimaging

Worked with Paul S. Scotti on generative neural decoding.

External Collaborator · The Chinese University of Hong Kong

Department of Electronic Engineering, supervised by Prof. Hongliang Ren.

Research Intern · Tsinghua University

MengShi Automatic Driving Lab, supervised by Associate Prof. Xinyu Zhang.

Research Intern · Beijing Institute of Technology

UV Lab of the Ministry of Education, supervised by Associate Prof. Yi Tang.

Recognition

Honors & Awards

Academic path

Education & Teaching

Education

Ph.D. · Electrical and Information Engineering
The University of Sydney · 2023–2026
B.S. · Optoelectronic Engineering
Beijing Institute of Technology · 2018–2022

Teaching

ELEC5622 · Signals, Software and Health
Teaching Assistant · 2023–2025
Community

Mentoring

NameRolePeriodNext step
Xinyu MaIntern2024–2025Ph.D. student · MPU
Yuhan LiuIntern2024–2025—
Wenyang WangIntern2024–2025Researcher · Shanghai AI Lab
Junyi WangIntern2024–2025—
Shuya YangIntern2024–2025Ph.D. student · HKU
Mengchen WangIntern2025–2026Ph.D. student · MPU
Shuhuai WangIntern2026–Present—