Texture Image Retrieval Based on Contourlet Transform and Active Perceptual Similarity Learning. - Huaijing Qu; Yuhua Peng; Honglin Wan; Min Han (ADMA, 2008)

Improved and robust eyelash and eyelid location method. - Ting Wang; Min Han; Honglin Wan (WCSP, 2012)

Novel Change Detection in SAR Imagery Using Local Connectivity. - Honglin Wan; C. Jung; Biao Hou; Guiting Wang; Q. X. Tang (IEEE Geosci. Remote. Sens. Lett., 2013)

A SVM active learning method based on confidence, KNN and diversity. - Yan Leng; Xinyan Xu; Chengli Sun; Chuanfu Cheng; Honglin Wan; Jing Fang; Dengwang Li (ICME, 2015)

Employing unlabeled data to improve the classification performance of SVM, and its application in audio event classification. - Yan Leng; Chengli Sun; Xinyan Xu; Qi Yuan; Shuning Xing; Honglin Wan; Jingjing Wang 002; Dengwang Li (Knowl. Based Syst., 2016)

Research on the Design of Urban Three-Dimensional Reconstruction System for Smart Cities. - Kai Jiang; Xiaoping Guan; Long Sun; Honglin Wan (HPCC/SmartCity/DSS, 2018)

Pulmonary Nodules Detection Based on CNN Multi-scale Feature Fusion. - Hui Shi; Zhenwei Peng; Honglin Wan (ICAIT, 2019)

Pulmonary Nodule Detection Based on Three-Dimensional Multiscale Convolutional Neural Network with Channel and Spatial Attention. - Yudu Zhao; Jun Ma; Zhenwei Peng; Hao Xia; Honglin Wan (J. Medical Imaging Health Informatics, 2021)

An improved one-stage pedestrian detection method based on multi-scale attention feature extraction. - Jun Ma; Honglin Wan; Junxia Wang; Hao Xia; Chengjie Bai (J. Real Time Image Process., 2021)

Detail 3D Face Reconstruction Based on 3DMM and Displacement Map. - Tianping Li; Hongxin Xu; Hua Zhang; Honglin Wan (J. Sensors, 2021)

An improved scheme of deep dilated feature extraction on pedestrian detection. - Jun Ma; Honglin Wan; Junxia Wang; Hao Xia; Chengjie Bai (Signal Image Video Process., 2021)

Deep Learning-based Optimization of HDFS for Massive Geographic Image Storage. - Shuainan Li; Ke Liu; Honglin Wan (EITCE, 2022)

MAFA-net: pedestrian detection network based on multi-scale attention feature aggregation. - Hao Xia; Honglin Wan; Jiayu Ou; Jun Ma; Xinyao Lv; Chengjie Bai (Appl. Intell., 2022)

Transforming Limitations into Advantages: Improving Small Object Detection Accuracy with SC-AttentionIoU Loss Function. - Mingle Zhou; Changle Yi; Min Li 033; Honglin Wan; Gang Li 005; Delong Han (ICANN (7), 2023)

DCP-Net: The Defect Detection Method of Industrial Product based on Dual Collaborative Paths. - Zekai Zhang; Mingle Zhou; Honglin Wan; Min Li 033; Gang Li 005 (IJCNN, 2023)

PCB Defect Detection Model with Convolutional Modules Instead of Self-Attention Mechanism. - Mingle Zhou; Changle Yi; Honglin Wan; Min Li; Gang Li; Delong Han (SMC, 2023)

IDD-Net: Industrial defect detection method based on Deep-Learning. - Zekai Zhang; Mingle Zhou; Honglin Wan; Min Li 033; Gang Li 005; Delong Han (Eng. Appl. Artif. Intell., 2023)

Contextual transformer sequence-based recognition network for medical examination reports. - Honglin Wan; Zongfeng Zhong; Tianping Li; Huaxiang Zhang 001; Jiande Sun 001 (Appl. Intell., 2023)

Rethinking interactive networks and regression loss functions for industrial defect detection. - Zhanzhi Su; Mingle Zhou; Honglin Wan; Min Li 033; Zekai Zhang; Delong Han; Rui Shao; Gang Li 005 (J. King Saud Univ. Comput. Inf. Sci., 2023)

Direction-assisted enhanced black-winged kite algorithm for mobile robot path planning. - Honglin Wan; Qilin Wu; Zhaochun Peng; Zheng Lu (J. King Saud Univ. Comput. Inf. Sci., 2025)