Welcome to My Page!

I am currently a Final Year Ph.D. Candidate in the Faculty of Electrical Computer Engineering at The University of Sydney (Supervised by Associate Prof. Luping Zhou). I am fortunate to have been working with Prof. Hongliang Ren (CUHK), Paul S. Scotti (Sophont), and Xiaoyu Yue (XPENG Robotics).

My research interests include Generative Models, VLA and MLLM.

🔥 News

💻 Experience

• 2025.04 - 2025.07, [Research Intern] Alibaba DAMO Academy, Alibaba Group, Hangzhou, China.
• 2023.10 - 2025.01, [Researcher] MedARC Neuroimaging Leads by Paul S. Scotti, Stability AI.
• 2022.03 - 2024.03, [External Collaborator] Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong. Supervised by Prof. Hongliang Ren, PI of RenLab
• 2021.11 - 2022.06, [Research Intern], MengShi Automatic Driving Lab, Tsinghua University, Beijing. Supervised by A/Prof. Xinyu Zhang.
• 2021.06 - 2022.06, [Research Intern], UV Lab of Ministry of Education for Photoelectronic Imaging Technology and System, Beijing Institute of Technology, Beijing. Supervised by A/Prof. Yi Tang.

📝 Publications

†represents co-first authors

EndoIR: Degradation-Agnostic All-in-One Endoscopic Image Restoration via Noise-Aware Routing Diffusion
T Chen†, X Ma†, L Bai†, Wenyang Wang, Y Sun, L Zhou
Annual AAAI Conference on Artificial Intelligence (AAAI), 2026.

• Paper| Code

SurgSora: Object-Aware Diffusion Model for Controllable Surgical Video Generation
T Chen†, S Yang†, J Wang†, L Bai†, H Ren, L Zhou
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025.

• Project Page| Paper| Code

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
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025.

• Paper and Code Coming Soon!

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
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024. [Best Paper Runner-Up Award, Oral, 3/2771]

• Paper| Code

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
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024.

• Paper| Code

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, A Narang, C Santhirasegaran, J Xu, T Naselaris, K.A Norman, T.M Abraham
The Forty-first International Conference on Machine Learning (ICML), 2024.

• Project Page| Paper| Code

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
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023. [Oral, Top 3%]

• Paper| Code

🎖 Honors and Awards

• 2026.05 DAAD AInet Fellow, AI in Neuroscience Track, 2026
• 2025.10 Top Reviewer, NeurIPS 2025
• 2024.09 Best Paper Runner-Up, MICCAI 2024

📖 Educations

• 2023.03 - 2026.9(expected), Ph.D., Electrical Information Engineering, the University of Sydney, Sydney, Australia.
• 2018.09 - 2022.07, B.S., Opto-electrical Engineering, Beijing Insititute of Technology, Beijing, China.

📚 Teaching

Teaching Assistant:

• 2023-2024 Fall ELEC5622 Signals, Software and Health
• 2024-2025 Fall ELEC5622 Signals, Software and Health

Mentees: