Kecheng Chen

According to our database, Kecheng Chen authored at least 33 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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, Haoliang Li

IEEE Trans. Neural Networks Learn. Syst., May, 2025

Efficient Medical Image Restoration via Reliability Guided Learning in Frequency Domain.

Pengcheng Zheng, Kecheng Chen, Jiaxin Huang, Bohao Chen, Ju Liu, Yazhou Ren, Xiaorong Pu

CoRR, April, 2025

Disentangling Instruction Influence in Diffusion Transformers for Parallel Multi-Instruction-Guided Image Editing.

Hui Liu, Bin Zou, Suiyun Zhang, Kecheng Chen, Rui Liu, Haoliang Li

CoRR, April, 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, April, 2025

Test-time Adaptation for Foundation Medical Segmentation Model without Parametric Updates.

Kecheng Chen, Xinyu Luo, Tiexin Qin, Jie Liu, Hui Liu, Victor Ho-fun Lee, Hong Yan, Haoliang Li

CoRR, April, 2025

Enhancing Zero-Shot Image Recognition in Vision-Language Models through Human-like Concept Guidance.

Hui Liu, Wenya Wang, Kecheng Chen, Jie Liu, Yibing Liu, Tiexin Qin, Peisong He, Xinghao Jiang, Haoliang Li

CoRR, March, 2025

Test-time Adaptation for Image Compression with Distribution Regularization.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Domain Generalization with Small Data.

Kecheng Chen, Elena Gal, Hong Yan, Haoliang Li

Int. J. Comput. Vis., August, 2024

Learning Robust Shape Regularization for Generalizable Medical Image Segmentation.

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

IEEE Trans. Medical Imaging, July, 2024

AutoAssign+: Automatic Shared Embedding Assignment in streaming recommendation.

Ziru Liu, Kecheng Chen, Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang

Knowl. Inf. Syst., January, 2024

Cross-Domain Low-Dose CT Image Denoising With Semantic Preservation and Noise Alignment.

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

IEEE Trans. Multim., 2024

Enhancing Transferability of Adversarial Examples Through Mixed-Frequency Inputs.

Yaguan Qian, Kecheng Chen, Bin Wang, Zhaoquan Gu, Shouling Ji, Wei Wang, Yanchun Zhang

IEEE Trans. Inf. Forensics Secur., 2024

Large Language Models for Lossless Image Compression: Next-Pixel Prediction in Language Space is All You Need.

Kecheng Chen, Pingping Zhang, Hui Liu, Jie Liu, Yibing Liu, Jiaxin Huang, Shiqi Wang, Hong Yan, Haoliang Li

CoRR, 2024

Frequency-Constraint VQ-VAE for Adaptive MRI Segmentation.

Qi Wu, Minghao Zhang, Ju Liu, Fan Yang, Kecheng Chen, Yazhou Ren, Xiaorong Pu

Proceedings of the Neural Information Processing - 31st International Conference, 2024

2023

CDDnet: Cross-domain denoising network for low-dose CT image via local and global information alignment.

Jiaxin Huang, Kecheng Chen, Yazhou Ren, Jiayu Sun, Yanmei Wang, Tao Tao, Xiaorong Pu

Comput. Biol. Medicine, September, 2023

Deformation Monitoring of Tunnel using Phase-based Motion Magnification and Optical Flow.

Kecheng Chen, Hiroshi Kogi, Kenichi Soga

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

Robust Cross-domain CT Image Reconstruction via Bayesian Noise Uncertainty Alignment.

Kecheng Chen, Haoliang Li, Renjie Wan, Hong Yan

CoRR, 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

Proceedings of the 12th IEEE International Conference on Educational and Information Technology, 2023

Cross-Domain Object Classification Via Successive Subspace Alignment.

Kecheng Chen, Haoliang Li, Hong Yan

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

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, Saimin Zhang

IEEE Trans. Geosci. Remote. Sens., 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

Comput. Biol. Medicine, 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, Yazhou Ren

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Cross Domain Low-Dose CT Image Denoising With Semantic Information Alignment.

Jiaxin Huang, Kecheng Chen, Jiayu Sun, Xiaorong Pu, Yazhou Ren

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

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

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

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, Xiaorong Pu

CoRR, 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

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

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

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020

Task-Driven Deep Learning for LDCT Image Denoising.

Kecheng Chen, Jiaxin Huang, Jiayu Sun, Yazhou Ren, Xiaorong Pu

Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020

Low-Dose CT Image Blind Denoising with Graph Convolutional Networks.

Kecheng Chen, Xiaorong Pu, Yazhou Ren, Hang Qiu, Haoliang Li, Jiayu Sun

Proceedings of the Neural Information Processing - 27th International Conference, 2020

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

Proceedings of the Design, User Experience, and Usability. Application Domains, 2019

A Semantic-Based Short-Text Fast Clustering Method on Hotline Records in Chengdu.

Xiaorong Pu, Kun Long, Kecheng Chen, Mei Xie, Jiancheng Lv, Dezhong Peng

Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019