Kecheng Chen

Biography

I am a PhD student at Department of Electrical Engineering, City University of Hong Kong, co-supervised by Prof. Yan Hong and Dr. Li Haoliang.

I'm currently working on:
(1) Transfer Learning (Domain Adaptation/Generalization/Test-time Adaptation)
(2) AI for Healthcare, focusing on Transferable, Reliable, and Robust AI applications
(3) LLM/VLM for Multimedia, such as image and video coding

Recent Works and Selected Publications

Test-time Adaptation for Image Compression with Distribution Regularization

Kecheng Chen, Pingping Zhang, Tiexin Qin, Shiqi Wang, Hong Yan, Haoliang Li

ICLR 2025 / Project Page with Paper and Code

Domain Generalization with Small Data

Kecheng Chen, Elena Gal, Hong Yan and Haoliang Li

IJCV 2024 / Project Page with Paper and Code

Lesion-Inspired Denoising Network: Connecting Medical Image Denoising and Lesion Detection

Kecheng Chen, Kun Long, Jiayu Sun, Yazhou Ren, and Xiaorong Pu

ACM-MM 2021

Unsupervised Domain Adaptation for Low-dose CT Reconstruction via Bayesian Uncertainty Alignment

Kecheng Chen, Jie Liu, Renjie Wan, Victor Ho-Fun Lee, Varut Vardhanabhuti, Hong Yan, and Haoliang Li

IEEE TNNLS 2024 / Project Page with Paper and Code

Learning Robust Shape Regularization for Generalizable Medical Image Segmentation

Kecheng Chen, Tiexin Qin, Victor Ho-Fun Lee, Hong Yan, and Haoliang Li

IEEE TMI 2024 / Project Page with Paper and Code

TEMDnet: A Novel Deep Denoising Network for Transient Electromagnetic Signal With Signal-to-Image Transformation

Kecheng Chen, Xiaorong Pu, Yazhou Ren, Hang Qiu, Fanqiang Lin, and Saiming Zhang

IEEE TGRS 2021 / ESI Highly Cited Paper / Project Page with Paper and Code

TEM-NLnet: A Deep Denoising Network for Transient Electromagnetic Signal With Noise Learning

Mingyue Wang, Fanqiang Lin, Kecheng Chen*, Wei Luo, and Sunyuan Qiang; *Equal Contribution

IEEE TGRS 2022 / Project Page with Paper and Code

Cross-domain Low-dose CT Image Denoising with Semantic Preservation and Noise Alignment

Jiaxin Huang, Kecheng Chen, Yazhou Ren, Jiayu Sun, Xiaorong Pu, and Ce Zhu

IEEE TMM 2024

Cross-domain Object Classification via Successive Subspace Alignment

Kecheng Chen, Haoliang Li and Hong Yan

ICASSP 2023

AI Competitions

The Fourth International Symposium on Image Computing and Digital Medicine (ISICDM 2020)

Challege for The Quality Optimization for Low-dose CT Image

Our team won the 1st place and I am as the first author.