Scholar
Kecheng Chen
Google Scholar ID: xE3hzToAAAAJ
PhD student at EE, City University of Hong Kong
Citations & Impact
Citations
645
H-index
10
i10-index
12
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- - Publications:
- - DP-TTA: Test-time Adaptation for Transient Electromagnetic Signal Denoising via Dictionary-driven Prior Regularization (IEEE TGRS, 2025)
- - Large Language Models for Lossless Image Compression: Next-Pixel Prediction in Language Space is All You Need (NeurIPS, 2025)
- - Lightweight Medical Image Restoration via Integrating Reliable Lesion-Semantic Driven Prior (ACM-MM, 2025)
- - Test-time Adaptation for Foundation Medical Segmentation Model without Parametric Updates (ICCV, 2025)
- - Test-time Adaptation for Image Compression with Distribution Regularization (ICLR, 2025)
- - Domain Generalization with Small Data (IJCV, 2024)
- - Lesion-Inspired Denoising Network: Connecting Medical Image Denoising and Lesion Detection (ACM-MM, 2021)
- - Unsupervised Domain Adaptation for Low-dose CT Reconstruction via Bayesian Uncertainty Alignment (IEEE TNNLS, 2024)
- - Learning Robust Shape Regularization for Generalizable Medical Image Segmentation (IEEE TMI, 2024)
- - TEMDnet: A Novel Deep Denoising Network for Transient Electromagnetic Signal With Signal-to-Image Transformation (IEEE TGRS, 2022)
- - TEM-NLnet: A Deep Denoising Network for Transient Electromagnetic Signal With Noise Learning (IEEE TGRS, 2022)
- - Cross-domain Low-dose CT Image Denoising with Semantic Preservation and Noise Alignment (IEEE TMM, 2024)
- - Cross-domain Object Classification via Successive Subspace Alignment (ICASSP, 2023)
- - Competition Awards:
- - First place in the Quality Optimization for Low-dose CT Image Challenge at the Fourth International Symposium on Image Computing and Digital Medicine (ISICDM 2020), as the first author
Research Experience
- - Research Intern, Noah's Ark Lab, Huawei, Hong Kong
Education
- - PhD, Department of Electrical Engineering, City University of Hong Kong, Supervisors: Prof. Yan Hong and Dr. Li Haoliang
Background
- - Research Interests: Transfer Learning (Domain Adaptation/Generalization/Test-time Adaptation), AI for Healthcare, LLM/VLM for Multimedia
- - Professional Field: Electrical Engineering
- - Biography: PhD student at the Department of Electrical Engineering, City University of Hong Kong, currently a research intern at Noah's Ark Lab, Huawei, Hong Kong. Seeking a postdoctoral or industry position.
Co-authors