A Multi-level Aggregated Network for Image Restoration. - Chenxi Ma; Weimin Tan; Bahetiyaer Bare; Bo Yan 001 (ICME, 2019)

An Automatic Event Detection Method for Massive Wireless Access Prediction. - Mingyong Yin; Xingshu Chen; Haizhou Wang 001; Qixu Wang; Chenxi Ma; Xue Qin (IEEE Access, 2019)

Real-time video super-resolution via motion convolution kernel estimation. - Bahetiyaer Bare; Bo Yan 001; Chenxi Ma; Ke Li 010 (Neurocomputing, 2019)

Deep Objective Quality Assessment Driven Single Image Super-Resolution. - Bo Yan 001; Bahetiyaer Bare; Chenxi Ma; Ke Li 010; Weimin Tan (IEEE Trans. Multim., 2019)

Disparity-Aware Domain Adaptation in Stereo Image Restoration. - Bo Yan 001; Chenxi Ma; Bahetiyaer Bare; Weimin Tan; Steven C. H. Hoi (CVPR, 2020)

Deep Image Quality Assessment Driven Single Image Deblurring. - Ang Li; Jichun Li; Qing Lin; Chenxi Ma; Bo Yan 001 (ICME, 2020)

Perception-Oriented Stereo Image Super-Resolution. - Chenxi Ma; Bo Yan 001; Weimin Tan; Xuhao Jiang (ACM Multimedia, 2021)

Motion Blur Removal With Quality Assessment Guidance. - Jichun Li; Bo Yan 001; Qing Lin; Ang Li; Chenxi Ma (IEEE Trans. Multim., 2021)

Geometry-Aware Reference Synthesis for Multi-View Image Super-Resolution. - Ri Cheng; Yuqi Sun; Bo Yan 001; Weimin Tan; Chenxi Ma (ACM Multimedia, 2022)

Rethinking Super-Resolution as Text-Guided Details Generation. - Chenxi Ma; Bo Yan 001; Qing Lin; Weimin Tan; Siming Chen 001 (ACM Multimedia, 2022)

Prior embedding multi-degradations super resolution network. - Chenxi Ma; Weimin Tan; Bo Yan 001; Shili Zhou (Neurocomputing, 2022)

Community Detection Algorithm Based on Local Random Walk with Restart and Label Propagation. - Tianhong Cai; Yufan Liao; Chenxi Ma; Li Liu 068 (ICCCM, 2023)

Multi-Modality Deep Network for JPEG Artifacts Reduction. - Xuhao Jiang; Weimin Tan; Qing Lin; Chenxi Ma; Bo Yan 001; Liquan Shen (IJCAI, 2023)

A Seed Expansion Algorithm Based on The CRITIC Method and Node Gravity. - Chenxi Ma; Tianhong Cai; Yufan Liao; Li Liu 068 (MLMI, 2023)

Responding to Paradoxical Organisational Demands for AI-Powered Systems considering Fairness. - Chenxi Ma; Alain Yee-Loong Chong; Chee Wei David Phang (PACIS, 2023)

Uncertainty-Aware GAN for Single Image Super Resolution. - Chenxi Ma (AAAI, 2024)

Learning Cross-Spectral Prior for Image Super-Resolution. - Chenxi Ma; Weimin Tan; Shili Zhou; Bo Yan 001 (ACM Multimedia, 2024)

Interoperability Challenges in Natural Disaster Management Information Systems. - Yaxin Deng; Chenxi Ma; Shiying Zheng; Shuning Zheng; Alain Yee-Loong Chong (PACIS, 2025)

Unraveling Disease-Associated PIWI-Interacting RNAs with a Contrastive Learning Methods. - Xiaowen Hu; Hao Sun; Linchao Shan; Chenxi Ma; Hanming Quan; Yuanpeng Zhang; Jiaxuan Zhang; Ziyu Fan; Yongjun Tang; Lei Deng 002 (J. Chem. Inf. Model., 2025)

Spatiotemporal-Aware Self-Supervised Fluorescence Microscopy Image Denoising. - Chenxi Ma; Weimin Tan; Zhaohui Zhou; Bo Yan 001 (IEEE Signal Process. Lett., 2025)

Scaling Laws for Data-Efficient Visual Transfer Learning. - Wenxuan Yang; Qingqu Wei; Chenxi Ma; Weimin Tan; Bo Yan (CoRR, 2025)

Non-Uniform Class-Wise Coreset Selection: Characterizing Category Difficulty for Data-Efficient Transfer Learning. - Hanyu Zhang; Zhen Xing; Wenxuan Yang; Chenxi Ma; Weimin Tan; Bo Yan 001 (CoRR, 2025)

MM-Skin: Enhancing Dermatology Vision-Language Model with an Image-Text Dataset Derived from Textbooks. - Wenqi Zeng; Yuqi Sun; Chenxi Ma; Weimin Tan; Bo Yan (CoRR, 2025)