Lin Chen - RankMe

27 papers A 1B 6Misc 1Journal 14Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BiMoE: Brain-Inspired Experts for EEG-Dominant Affective State Recognition. CoRR Hongyu Zhu, Lin Chen, Mingsheng Shang
2025	B	`conf`	CA-Gen: Cluster-aware Anomaly Generation for Video Anomaly Detection. SMC HaiFu Ye, Lin Chen, Mingsheng Shang
2025	J	`jnl`	MS-Mix: Unveiling the Power of Mixup for Multimodal Sentiment Analysis. CoRR Hongyu Zhu, Lin Chen, Mounim A. El-Yacoubi, Mingsheng Shang
2025	J	`jnl`	Multi-level feature decomposition and fusion model for video-based multimodal emotion recognition. Eng. Appl. Artif. Intell. Xiaofang Liu, Guotian He, Shuge Li, Fan Yang, Songxiying He, Lin Chen
2025	A	`conf`	Semantic-guided Representation Learning for Multi-Label Recognition. ICME Ruhui Zhang, Hezhe Qiao, Pengcheng Xu, Mingsheng Shang, Lin Chen
2025	J	`jnl`	Semantic-guided Representation Learning for Multi-Label Recognition. CoRR Ruhui Zhang, Hezhe Qiao, Pengcheng Xu, Mingsheng Shang, Lin Chen
2025	J	`jnl`	Temporal-contextual Event Learning for Pedestrian Crossing Intent Prediction. CoRR Hongbin Liang, Hezhe Qiao, Wei Huang, Qizhou Wang, Mingsheng Shang, Lin Chen
2025	J	`jnl`	Towards practical and privacy-preserving CNN inference service for cloud-based medical imaging analysis: A homomorphic encryption-based approach. Comput. Methods Programs Biomed. Yanan Bai, Hongbo Zhao, Xiaoyu Shi, Lin Chen
2024	—	`conf`	Temporal-Contextual Event Learning for Pedestrian Crossing Intent Prediction. ICONIP (5) Hongbin Liang, Hezhe Qiao, Wei Huang, Qizhou Wang, Mingsheng Shang, Lin Chen
2023	—	`conf`	A Histo-Puzzle Network for Weakly Supervised Semantic Segmentation of Histological Tissue Type. CACML Tengyun Ma, Guotian He, Lin Chen, Yuanchang Lin
2023	J	`jnl`	Tensor Distribution Regression Based on the 3D Conventional Neural Networks. IEEE CAA J. Autom. Sinica Lin Chen, Xin Luo
2022	B	`conf`	Alzheimer's Disease Clinical Scores Prediction based on the Label Distribution Learning using Brain Structural MRI. IJCNN Hui Chen, Hezhe Qiao, Fan Zhu, Lin Chen
2022	B	`conf`	Attention Auxiliary Spatial Fusion for Pedestrian Attribute Recognition. SMC Meijun Luo, Lin Chen, Yunni Xia, Mingsheng Shang
2022	J	`jnl`	MCFL: multi-label contrastive focal loss for deep imbalanced pedestrian attribute recognition. Neural Comput. Appl. Lin Chen, Jingkuan Song, Xuerui Zhang, Mingsheng Shang
2022	J	`jnl`	Ranking convolutional neural network for Alzheimer's disease mini-mental state examination prediction at multiple time-points. Comput. Methods Programs Biomed. Hezhe Qiao, Lin Chen, Fan Zhu
2021	—	`conf`	A Fusion of Multi-view 2D and 3D Convolution Neural Network based MRI for Alzheimer's Disease Diagnosis. EMBC Hezhe Qiao, Lin Chen, Fan Zhu
2021	J	`jnl`	Dynamical Conventional Neural Network Channel Pruning by Genetic Wavelet Channel Search for Image Classification. Frontiers Comput. Neurosci. Lin Chen, Saijun Gong, Xiaoyu Shi, Mingsheng Shang
2021	J	`jnl`	Early Alzheimer's disease diagnosis with the contrastive loss using paired structural MRIs. Comput. Methods Programs Biomed. Hezhe Qiao, Lin Chen, Zi Ye, Fan Zhu
2021	B	`conf`	Improving Pedestrian Attribute Recognition with Multi-Scale Spatial Calibration. IJCNN Jiabao Zhong, Hezhe Qiao, Lin Chen, Mingsheng Shang, Qun Liu
2020	B	`conf`	Multi-label Contrastive Focal Loss for Pedestrian Attribute Recognition. ICPR Xiaoqiang Zheng, Zhenxia Yu, Lin Chen, Fan Zhu, Shilong Wang
2019	—	`conf`	Multi-task Learning for Pedestrian Body Parts Detection and Multi-attribute Classification. ICME Workshops Miaomiao Lou, Lin Chen, Feng Guo
2018	B	`conf`	Fully Convolutional Neural Networks for Tissue Histopathology Image Classification and Segmentation. ICIP Binbin Peng, Lin Chen, Mingsheng Shang, Jianjun Xu
2018	J	`jnl`	Tackling class overlap and imbalance problems in software defect prediction. Softw. Qual. J. Lin Chen, Bin Fang, Zhaowei Shang, Yuanyan Tang
2017	—	`conf`	Gender classification of full body images based on the convolutional neural network. SPAC Zhenxia Yu, Chengxuan Shen, Lin Chen
2016	Misc	`conf`	Software fault prediction based on one-class SVM. ICMLC Lin Chen, Bin Fang, Zhaowei Shang
2015	J	`jnl`	Negative samples reduction in cross-company software defects prediction. Inf. Softw. Technol. Lin Chen, Bin Fang, Zhaowei Shang, Yuanyan Tang
2009	J	`jnl`	False positive reduction in urinary particle recognition. Expert Syst. Appl. Yan Liang, Bin Fang, Jiye Qian, Lin Chen, Chunyan Li, Ying Liu