Fault-Tolerant Control, Fault Diagnosis and Recovery in Runtime of Business Docking Service Composition Flow in the Cloud Environment. - Jianhua Han; Silu He; Hengxin Li; Jianping Huang (ICIC (2), 2014)

Lightweight Color Image Demosaicking with Multi-Core Feature Extraction. - Yufei Tan; Kan Chang; Hengxin Li; Zhenhua Tang; Tuanfa Qin (VCIP, 2020)

Joint Image Super-Resolution and Low-Light Enhancement in the Dark. - Feihu Zhou; Kan Chang; Mingyang Ling; Hengxin Li; Shucheng Xia (ACCV (4), 2022)

Graph convolutional network with sample and feature weights for Alzheimer's disease diagnosis. - Lu Zeng; Hengxin Li; Tingsong Xiao; Fumin Shen; Zhi Zhong (Inf. Process. Manag., 2022)

A Two-Stage Convolutional Neural Network for Joint Demosaicking and Super-Resolution. - Kan Chang; Hengxin Li; Yufei Tan; Pak Lun Kevin Ding; Baoxin Li (IEEE Trans. Circuits Syst. Video Technol., 2022)

FSNet: Dual Interpretable Graph Convolutional Network for Alzheimer's Disease Analysis. - Hengxin Li; Xiaoshuang Shi; Xiaofeng Zhu 001; Shuihua Wang; Zheng Zhang 006 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Attention based multi-task interpretable graph convolutional network for Alzheimer's disease analysis. - Shunqin Jiang; Qiyuan Feng; Hengxin Li; Zhenyun Deng; Qinghong Jiang (Pattern Recognit. Lett., 2024)

PRNet: Pyramid Restoration Network for RAW Image Super-Resolution. - Mingyang Ling; Kan Chang; Mengyuan Huang; Hengxin Li; Shuping Dang; Baoxin Li (IEEE Trans. Computational Imaging, 2024)