False positive reduction in urinary particle recognition. - Yan Liang; Bin Fang 001; Jiye Qian; Lin Chen 023; Chunyan Li; Ying Liu 004 (Expert Syst. Appl., 2009)

Negative samples reduction in cross-company software defects prediction. - Lin Chen 023; Bin Fang 001; Zhaowei Shang; Yuanyan Tang (Inf. Softw. Technol., 2015)

Software fault prediction based on one-class SVM. - Lin Chen 023; Bin Fang 001; Zhaowei Shang (ICMLC, 2016)

Gender classification of full body images based on the convolutional neural network. - Zhenxia Yu; Chengxuan Shen; Lin Chen 023 (SPAC, 2017)

Fully Convolutional Neural Networks for Tissue Histopathology Image Classification and Segmentation. - Binbin Peng; Lin Chen 023; Mingsheng Shang 001; Jianjun Xu (ICIP, 2018)

Tackling class overlap and imbalance problems in software defect prediction. - Lin Chen 023; Bin Fang 001; Zhaowei Shang; Yuanyan Tang (Softw. Qual. J., 2018)

Multi-task Learning for Pedestrian Body Parts Detection and Multi-attribute Classification. - Miaomiao Lou; Lin Chen 023; Feng Guo (ICME Workshops, 2019)

Multi-label Contrastive Focal Loss for Pedestrian Attribute Recognition. - Xiaoqiang Zheng; Zhenxia Yu; Lin Chen 023; Fan Zhu; Shilong Wang (ICPR, 2020)

A Fusion of Multi-view 2D and 3D Convolution Neural Network based MRI for Alzheimer's Disease Diagnosis. - Hezhe Qiao; Lin Chen 023; Fan Zhu (EMBC, 2021)

Improving Pedestrian Attribute Recognition with Multi-Scale Spatial Calibration. - Jiabao Zhong; Hezhe Qiao; Lin Chen 023; Mingsheng Shang 001; Qun Liu 005 (IJCNN, 2021)

Early Alzheimer's disease diagnosis with the contrastive loss using paired structural MRIs. - Hezhe Qiao; Lin Chen 023; Zi Ye; Fan Zhu (Comput. Methods Programs Biomed., 2021)

Dynamical Conventional Neural Network Channel Pruning by Genetic Wavelet Channel Search for Image Classification. - Lin Chen 023; Saijun Gong; Xiaoyu Shi 001; Mingsheng Shang 001 (Frontiers Comput. Neurosci., 2021)

Alzheimer's Disease Clinical Scores Prediction based on the Label Distribution Learning using Brain Structural MRI. - Hui Chen; Hezhe Qiao; Fan Zhu; Lin Chen 023 (IJCNN, 2022)

Attention Auxiliary Spatial Fusion for Pedestrian Attribute Recognition. - Meijun Luo; Lin Chen 023; Yunni Xia; Mingsheng Shang 001 (SMC, 2022)

Ranking convolutional neural network for Alzheimer's disease mini-mental state examination prediction at multiple time-points. - Hezhe Qiao; Lin Chen 023; Fan Zhu (Comput. Methods Programs Biomed., 2022)

MCFL: multi-label contrastive focal loss for deep imbalanced pedestrian attribute recognition. - Lin Chen 023; Jingkuan Song; Xuerui Zhang; Mingsheng Shang 001 (Neural Comput. Appl., 2022)

A Histo-Puzzle Network for Weakly Supervised Semantic Segmentation of Histological Tissue Type. - Tengyun Ma; Guotian He; Lin Chen 023; Yuanchang Lin (CACML, 2023)

Tensor Distribution Regression Based on the 3D Conventional Neural Networks. - Lin Chen 023; Xin Luo 001 (IEEE CAA J. Autom. Sinica, 2023)

Temporal-Contextual Event Learning for Pedestrian Crossing Intent Prediction. - Hongbin Liang; Hezhe Qiao; Wei Huang; Qizhou Wang; Mingsheng Shang 001; Lin Chen 023 (ICONIP (5), 2024)

Towards practical and privacy-preserving CNN inference service for cloud-based medical imaging analysis: A homomorphic encryption-based approach. - Yanan Bai; Hongbo Zhao; Xiaoyu Shi 001; Lin Chen 023 (Comput. Methods Programs Biomed., 2025)

Multi-level feature decomposition and fusion model for video-based multimodal emotion recognition. - Xiaofang Liu; Guotian He; Shuge Li; Fan Yang; Songxiying He; Lin Chen 023 (Eng. Appl. Artif. Intell., 2025)

Semantic-guided Representation Learning for Multi-Label Recognition. - Ruhui Zhang; Hezhe Qiao; Pengcheng Xu; Mingsheng Shang 001; Lin Chen 023 (CoRR, 2025)