Welcome to My Page!
I am currently a Ph.D. Candidate in the Faculty of Electrical Information Engineering at The University of Sydney (Supervised by Associate Prof. Luping Zhou and Dr. Dong Yuan). My research interests include Brain Decoding, Video Generation, and Medical Imaging.
🔥 News
- 2024.09: 🎉🎉 LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion win the Best Paper Runner-Up Award at MICCAI2024!
- 2024.09: 🎉🎉 LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion received Oral Presentation at MICCAI2024!
- 2024.07: 🎉🎉 I received my Ph.D. Offer from the University of Sydney！
- 2024.07: 🎉🎉 Our work EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy has been accepted at MICCAI2024!
- 2024.05: 🎉🎉 Our work LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion has been Early Accepted at MICCAI2024!
- 2024.02: 🎉🎉 Our work MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data has been accepted at ICML2024!
- 2023.07: 🎉🎉 Our work LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion received Oral Presentation at MICCAI2023!
💻 Experience
- 2023.10 - Present, [Researcher] MedARC, Stability AI.
- 2022.03 - Present, [Research Assistant] 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
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]
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.
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.
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%]
🎖 Honors and Awards
- 2024.09 Best Paper Runner-Up Award at MICCAI 2024
- 2024.09 Oral Presentation Award at MICCAI 2024
- 2023.07 Oral Presentation Award at MICCAI 2023
📖 Educations
- 2023.03 - 2026.12(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
© Tong CHEN | Last updated: Oct 2024