A Hierarchical Hough Transform for Fingerprint Matching. - Chaoqiang Liu; Tao Xia; Hui Li (ICBA, 2004)

ROI and FOI Algorithms for Wavelet-Based Video Compression. - Chaoqiang Liu; Tao Xia; Hui Li (PCM (3), 2004)

Time Oriented Video Summarization. - Chaoqiang Liu; Tao Xia; Hui Li (ICIAR, 2005)

Motion blur identification from image gradients. - Hui Ji; Chaoqiang Liu (CVPR, 2008)

Blind motion deblurring from a single image using sparse approximation. - Jian-Feng Cai 001; Hui Ji; Chaoqiang Liu; Zuowei Shen (CVPR, 2009)

High-quality curvelet-based motion deblurring from an image pair. - Jian-Feng Cai 001; Hui Ji; Chaoqiang Liu; Zuowei Shen (CVPR, 2009)

Segmentation of Semi-transparent Objects Using a Variant of the Mumford-Shah Model. - Yan Nei Law; Hwee Kuan Lee; Chaoqiang Liu; Andy M. Yip (IPCV, 2009)

Blind motion deblurring using multiple images. - Jian-Feng Cai 001; Hui Ji; Chaoqiang Liu; Zuowei Shen (J. Comput. Phys., 2009)

Robust video denoising using low rank matrix completion. - Hui Ji; Chaoqiang Liu; Zuowei Shen; Yuhong Xu (CVPR, 2010)

A Variational Model for Segmentation of Overlapping Objects With Additive Intensity Value. - Yan Nei Law; Hwee Kuan Lee; Chaoqiang Liu; Andy M. Yip (IEEE Trans. Image Process., 2011)

Framelet-Based Blind Motion Deblurring From a Single Image. - Jian-Feng Cai 001; Hui Ji; Chaoqiang Liu; Zuowei Shen (IEEE Trans. Image Process., 2012)

Removing out-of-focus blur from a single image. - Guodong Xu; Chaoqiang Liu; Hui Ji (CoRR, 2018)

Convolutional Neural Network on Semi-Regular Triangulated Meshes and its Application to Brain Image Data. - Chaoqiang Liu; Hui Ji; Anqi Qiu (CoRR, 2019)

Fast vertex-based graph convolutional neural network and its application to brain images. - Chaoqiang Liu; Hui Ji; Anqi Qiu (Neurocomputing, 2021)

A deep feature alignment adaptation network for rolling bearing intelligent fault diagnosis. - Shaowei Liu; Hongkai Jiang; Yanfeng Wang; Ke Zhu; Chaoqiang Liu (Adv. Eng. Informatics, 2022)

A deep feature enhanced reinforcement learning method for rolling bearing fault diagnosis. - Ruixin Wang; Hongkai Jiang; Ke Zhu; Yanfeng Wang; Chaoqiang Liu (Adv. Eng. Informatics, 2022)

Data-augmented wavelet capsule generative adversarial network for rolling bearing fault diagnosis. - Yunpeng Liu; Hongkai Jiang; Chaoqiang Liu; Wangfeng Yang; Wei Sun (Knowl. Based Syst., 2022)

A new data generation approach with modified Wasserstein auto-encoder for rotating machinery fault diagnosis with limited fault data. - Ke Zhao; Hongkai Jiang; Chaoqiang Liu; Yanfeng Wang; Ke Zhu (Knowl. Based Syst., 2022)

A Flexible Yet Efficient DNN Pruning Approach for Crossbar-Based Processing-in-Memory Architectures. - Long Zheng 003; Haifeng Liu 003; Yu Huang 013; Dan Chen 006; Chaoqiang Liu; Haiheng He; Xiaofei Liao; Hai Jin 001; Jingling Xue (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

FNNG: A High-Performance FPGA-based Accelerator for K-Nearest Neighbor Graph Construction. - Chaoqiang Liu; Haifeng Liu 003; Long Zheng 003; Yu Huang 013; Xiangyu Ye; Xiaofei Liao; Hai Jin 001 (FPGA, 2023)

GraphMetaP: Efficient MetaPath Generation for Dynamic Heterogeneous Graph Models. - Haiheng He; Dan Chen 006; Long Zheng 003; Yu Huang 013; Haifeng Liu 003; Chaoqiang Liu; Xiaofei Liao; Hai Jin 001 (IPDPS, 2023)

Accelerating Personalized Recommendation with Cross-level Near-Memory Processing. - Haifeng Liu 003; Long Zheng 003; Yu Huang 013; Chaoqiang Liu; Xiangyu Ye; Jingrui Yuan; Xiaofei Liao; Hai Jin 001; Jingling Xue (ISCA, 2023)

Benefits Evaluation Method of an Integrated Energy System Based on a Fuzzy Comprehensive Evaluation Method. - Jie Cao 005; Bowen He; Nan Qu; Jiaxin Zhang 027; Chaoqiang Liu; Yaowei Liu; Chin-Ling Chen (Symmetry, 2023)

Monte Carlo Ensemble Neural Network for the diagnosis of Alzheimer's disease. - Chaoqiang Liu; Fei Huang; Anqi Qiu; Alzheimer's Disease Neuroimaging Initiative (Neural Networks, 2023)

Enabling Efficient Large Recommendation Model Training with Near CXL Memory Processing. - Haifeng Liu 003; Long Zheng 003; Yu Huang 013; Jingyi Zhou; Chaoqiang Liu; Runze Wang; Xiaofei Liao; Hai Jin 001; Jingling Xue (ISCA, 2024)

L-FNNG: Accelerating Large-Scale KNN Graph Construction on CPU-FPGA Heterogeneous Platform. - Chaoqiang Liu; Xiaofei Liao; Long Zheng 003; Yu Huang 013; Haifeng Liu 003; Yi Zhang 004; Haiheng He; Haoyan Huang; Jingyi Zhou; Hai Jin 001 (ACM Trans. Reconfigurable Technol. Syst., 2024)

HeterRAG: Heterogeneous Processing-in-Memory Acceleration for Retrieval-augmented Generation. - Chaoqiang Liu; Haifeng Liu 003; Dan Chen 006; Yu Huang 013; Yi Zhang 004; Wenjing Xiao; Xiaofei Liao; Hai Jin 001 (ISCA, 2025)

Cycle-conditional diffusion model for noise correction of diffusion-weighted images using unpaired data. - Pengli Zhu; Chaoqiang Liu; Yingji Fu; Nanguang Chen; Anqi Qiu (Medical Image Anal., 2025)

Dedifferentiation of brain functional gradient captures cognition performance and stroke occurrence: A UK Biobank study. - Chenye Shen; Chaoqiang Liu; Nanguang Chen; Anqi Qiu (NeuroImage, 2025)