A Kind of 2D Isotropic Wavelet and Its Application in Image Primitive Detection. - Zheng-Xin Hou; Wenquan Wang; Jinghui Chu (J. Circuits Syst. Comput., 2002)

Dynamic Hand Gesture Recognition With Leap Motion Controller. - Wei Lu 026; Zheng Tong; Jinghui Chu (IEEE Signal Process. Lett., 2016)

A novel computer-aided diagnosis system for breast MRI based on feature selection and ensemble learning. - Wei Lu 026; Zhe Li 013; Jinghui Chu (Comput. Biol. Medicine, 2017)

Slow Feature Analysis for Mitotic Event Recognition. - Jinghui Chu; Hailan Liang; Zheng Tong; Wei Lu 026 (KSII Trans. Internet Inf. Syst., 2017)

Adaptive Ensemble Undersampling-Boost: A novel learning framework for imbalanced data. - Wei Lu 026; Zhe Li 013; Jinghui Chu (J. Syst. Softw., 2017)

A Novel Approach for Video Text Detection and Recognition Based on a Corner Response Feature Map and Transferred Deep Convolutional Neural Network. - Wei Lu 026; Hongbo Sun; Jinghui Chu; Xiangdong Huang 002; Jiexiao Yu (IEEE Access, 2018)

Feature fusion for imbalanced ECG data analysis. - Wei Lu 026; Honghui Hou; Jinghui Chu (Biomed. Signal Process. Control., 2018)

Towards a sparse low-rank regression model for memorability prediction of images. - Jinghui Chu; Huimin Gu; Yuting Su 001; Peiguang Jing (Neurocomputing, 2018)

A Novel Multiconnected Convolutional Network for Super-Resolution. - Jinghui Chu; Jiaqi Zhang; Wei Lu 026; Xiangdong Huang 002 (IEEE Signal Process. Lett., 2018)

Wearable Computing for Internet of Things: A Discriminant Approach for Human Activity Recognition. - Wei Lu 026; Fugui Fan; Jinghui Chu; Peiguang Jing; Yuting Su 001 (IEEE Internet Things J., 2019)

A novel 3D medical image super-resolution method based on densely connected network. - Wei Lu 026; Zhijin Song; Jinghui Chu (Biomed. Signal Process. Control., 2020)

Super-resolution using multi-channel merged convolutional network. - Jinghui Chu; Xiaochuan Li; Jiaqi Zhang; Wei Lu 026 (Neurocomputing, 2020)

Joint Co-Attention And Co-Reconstruction Representation Learning For One-Shot Object Detection. - Jinghui Chu; Jiawei Feng; Peiguang Jing; Wei Lu 026 (ICIP, 2021)

Improved Semantic Representation Learning by Multiple Clustering for Image-Based 3D Model Retrieval. - Jinghui Chu; Xiaoqian Zhao; Dan Song 006; Wenhui Li 001; Shenyuan Zhang; Xuanya Li; An-An Liu (Int. J. Semantic Web Inf. Syst., 2022)

A Novel Channel Pruning Approach based on Local Attention and Global Ranking for CNN Model Compression. - Wei Lu 026; Yang Jiang; Peiguang Jing; Jinghui Chu; Fugui Fan (ICME, 2023)

LACINet: A Lesion-Aware Contextual Interaction Network for Polyp Segmentation. - Wenxue Li; Wei Lu 026; Jinghui Chu; Fugui Fan (IEEE Trans. Instrum. Meas., 2023)

Visual analysis of inscriptions in the Tang Dynasty: a case study on the calligraphy style of Wang Xizhi. - Yang Zhang; Ling Chen; Haonan Chen; Jinghui Chu; Baofeng Chang; Yunchao Wang; Guodao Sun (Vis. Intell., 2023)

Confidence-guided mask learning for semi-supervised medical image segmentation. - Wenxue Li; Wei Lu 026; Jinghui Chu; Qi Tian; Fugui Fan (Comput. Biol. Medicine, 2023)

SDMA-Net: Swin Transformer-Based Dynamic Memory-Attention Network for Endoscopic Navigation. - Runnan Zhang; Qi Tian; Jinghui Chu; Wei Lu 026 (IEEE Access, 2025)

A Wavelet-Enhanced Boundary Aware Network with dynamic fusion for polyp segmentation. - Yongpeng Wang; Qi Tian; Jinghui Chu; Wei Lu (Neurocomputing, 2025)

A Novel Pruning Algorithm Based on Data-Driven and Knowledge-Driven Global Channel Pruning. - Wei Lu 026; Xinjie Ding; Yang Jiang; Jinghui Chu (IEEE Signal Process. Lett., 2025)

Application of Multilayer Information Fusion and Optimization Network Combined With Attention Mechanism in Polyp Segmentation. - Jinghui Chu; Yongpeng Wang; Qi Tian; Wei Lu 026 (IEEE Trans. Instrum. Meas., 2025)

PFPRNet: A Phase-Wise Feature Pyramid With Retention Network for Polyp Segmentation. - Jinghui Chu; Wangtao Liu; Qi Tian; Wei Lu 026 (IEEE J. Biomed. Health Informatics, 2025)