A Semantic-Based Short-Text Fast Clustering Method on Hotline Records in Chengdu. - Xiaorong Pu; Kun Long; Kecheng Chen; Mei Xie; Jiancheng Lv 001; Dezhong Peng (DASC/PiCom/DataCom/CyberSciTech, 2019)

Improving Mobile News Reading Experience for Chinese Users: An User Interview and Eye Tracking Study. - Chenyi He; Nan Chen; Minjuan Zhou; Hui Li; Kecheng Chen; Daisong Guan (HCI (20), 2019)

Low-Dose CT Image Blind Denoising with Graph Convolutional Networks. - Kecheng Chen; Xiaorong Pu; Yazhou Ren 001; Hang Qiu 002; Haoliang Li; Jiayu Sun (ICONIP (1), 2020)

Task-Driven Deep Learning for LDCT Image Denoising. - Kecheng Chen; Jiaxin Huang 006; Jiayu Sun; Yazhou Ren 001; Xiaorong Pu (ISICDM, 2020)

Lesion-Inspired Denoising Network: Connecting Medical Image Denoising and Lesion Detection. - Kecheng Chen; Kun Long; Yazhou Ren 001; Jiayu Sun; Xiaorong Pu (ACM Multimedia, 2021)

An HPC-Based Hydrothermal Finite Element Simulator for Modeling Underground Response to Community-Scale Geothermal Energy Production. - Xiang Sun; Kenichi Soga; Alp Cinar; Zhenxiang Su; Kecheng Chen; Krishna Kumar; Patrick F. Dobson; Peter S. Nico (CoRR, 2021)

RIDnet: Radiologist-Inspired Deep Neural Network for Low-dose CT Denoising. - Kecheng Chen; Jiayu Sun; Jiang Shen; Jixiang Luo; Xinyu Zhang; Xuelin Pan; Dongsheng Wu; Yue Zhao; Miguel Bento; Yazhou Ren 001; Xiaorong Pu (CoRR, 2021)

EEGDnet: Fusing Non-Local and Local Self-Similarity for 1-D EEG Signal Denoising with 2-D Transformer. - Peng Yi; Kecheng Chen; Zhaoqi Ma; Di Zhao; Xiaorong Pu; Yazhou Ren 001 (CoRR, 2021)

Numerical simulation of the fire emergency evacuation for a metro platform accident. - Jiabin Xie; Kecheng Chen; Trevor Hocksun Kwan; Qing-He Yao (Simul., 2021)

Cross Domain Low-Dose CT Image Denoising With Semantic Information Alignment. - Jiaxin Huang 006; Kecheng Chen; Jiayu Sun; Xiaorong Pu; Yazhou Ren 001 (ICIP, 2022)

ClusterUDA: Latent Space Clustering in Unsupervised Domain Adaption for Pulmonary Nodule Detection. - Mengjie Wang; Yuxin Zhu; Xiaoyu Wei; Kecheng Chen; Xiaorong Pu; Chao Li 034; Yazhou Ren 001 (ICONIP (6), 2022)

EEGDnet: Fusing non-local and local self-similarity for EEG signal denoising with transformer. - Xiaorong Pu; Peng Yi; Kecheng Chen; Zhaoqi Ma; Di Zhao; Yazhou Ren 001 (Comput. Biol. Medicine, 2022)

TEMDnet: A Novel Deep Denoising Network for Transient Electromagnetic Signal With Signal-to-Image Transformation. - Kecheng Chen; Xiaorong Pu; Yazhou Ren 001; Hang Qiu 002; Fanqiang Lin; Saimin Zhang (IEEE Trans. Geosci. Remote. Sens., 2022)

Cross-Domain Object Classification Via Successive Subspace Alignment. - Kecheng Chen; Haoliang Li; Hong Yan 001 (ICASSP, 2023)

Data-Driven Discriminable Factors Analytics of Teaching Performance Ratings for College Teachers. - Junxiao Liu; Tianyu Gao; Shu Liang; Kecheng Chen; Junwei Zeng; Fengshi Jing; Jiandong Zhou 001 (ICEIT, 2023)

Robust Cross-domain CT Image Reconstruction via Bayesian Noise Uncertainty Alignment. - Kecheng Chen; Haoliang Li; Renjie Wan; Hong Yan 001 (CoRR, 2023)

Application Potential of a Hybrid Ground Source Heat Pump Array for the UC Berkeley Campus Business and Law Node Energy System: A Preliminary Study. - Kecheng Chen; Kenichi Soga; Patrick F. Dobson; Peter S. Nico (CoRR, 2023)

Deformation Monitoring of Tunnel using Phase-based Motion Magnification and Optical Flow. - Kecheng Chen; Hiroshi Kogi; Kenichi Soga (CoRR, 2023)

CDDnet: Cross-domain denoising network for low-dose CT image via local and global information alignment. - Jiaxin Huang 006; Kecheng Chen; Yazhou Ren 001; Jiayu Sun; Yanmei Wang; Tao Tao; Xiaorong Pu (Comput. Biol. Medicine, 2023)

Frequency-Constraint VQ-VAE for Adaptive MRI Segmentation. - Qi Wu; Minghao Zhang; Ju Liu; Fan Yang; Kecheng Chen; Yazhou Ren 001; Xiaorong Pu (ICONIP (9), 2024)

Large Language Models for Lossless Image Compression: Next-Pixel Prediction in Language Space is All You Need. - Kecheng Chen; Pingping Zhang; Hui Liu 036; Jie Liu 044; Yibing Liu; Jiaxin Huang; Shiqi Wang 001; Hong Yan 001; Haoliang Li (CoRR, 2024)

Enhancing Transferability of Adversarial Examples Through Mixed-Frequency Inputs. - Yaguan Qian; Kecheng Chen; Bin Wang 062; Zhaoquan Gu; Shouling Ji; Wei Wang 012; Yanchun Zhang (IEEE Trans. Inf. Forensics Secur., 2024)

Cross-Domain Low-Dose CT Image Denoising With Semantic Preservation and Noise Alignment. - Jiaxin Huang 006; Kecheng Chen; Yazhou Ren 001; Jiayu Sun; Xiaorong Pu; Ce Zhu (IEEE Trans. Multim., 2024)

AutoAssign+: Automatic Shared Embedding Assignment in streaming recommendation. - Ziru Liu; Kecheng Chen; Fengyi Song; Bo Chen 023; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (Knowl. Inf. Syst., 2024)

Learning Robust Shape Regularization for Generalizable Medical Image Segmentation. - Kecheng Chen; Tiexin Qin; Victor Ho-fun Lee; Hong Yan 001; Haoliang Li (IEEE Trans. Medical Imaging, 2024)

Domain Generalization with Small Data. - Kecheng Chen; Elena Gal; Hong Yan 001; Haoliang Li (Int. J. Comput. Vis., 2024)

Test-time Adaptation for Image Compression with Distribution Regularization. - Kecheng Chen; Pingping Zhang; Tiexin Qin; Shiqi Wang 001; Hong Yan 001; Haoliang Li (ICLR, 2025)

Enhancing Zero-Shot Image Recognition in Vision-Language Models through Human-like Concept Guidance. - Hui Liu 036; Wenya Wang 001; Kecheng Chen; Jie Liu 044; Yibing Liu; Tiexin Qin; Peisong He; Xinghao Jiang; Haoliang Li (CoRR, 2025)

Test-time Adaptation for Foundation Medical Segmentation Model without Parametric Updates. - Kecheng Chen; Xinyu Luo; Tiexin Qin; Jie Liu 044; Hui Liu 036; Victor Ho-fun Lee; Hong Yan 001; Haoliang Li (CoRR, 2025)

SPACE: SPike-Aware Consistency Enhancement for Test-Time Adaptation in Spiking Neural Networks. - Xinyu Luo; Kecheng Chen; Pao-Sheng Vincent Sun; Chris Xing Tian; Arindam Basu; Haoliang Li (CoRR, 2025)

Disentangling Instruction Influence in Diffusion Transformers for Parallel Multi-Instruction-Guided Image Editing. - Hui Liu 036; Bin Zou; Suiyun Zhang; Kecheng Chen; Rui Liu; Haoliang Li (CoRR, 2025)

Efficient Medical Image Restoration via Reliability Guided Learning in Frequency Domain. - Pengcheng Zheng; Kecheng Chen; Jiaxin Huang 006; Bohao Chen; Ju Liu; Yazhou Ren 001; Xiaorong Pu (CoRR, 2025)

Unsupervised Domain Adaptation for Low-Dose CT Reconstruction via Bayesian Uncertainty Alignment. - Kecheng Chen; Jie Liu 044; Renjie Wan; Victor Ho-fun Lee; Varut Vardhanabhuti; Hong Yan 001; Haoliang Li (IEEE Trans. Neural Networks Learn. Syst., 2025)