2.Chen, Lin#, el al. “MCFL: multi-label contrastive focal loss for deep imbalanced pedestrian attribute recognition.” Neural Computing and Applications, 34 (2022): 16701–16715. （一作，CCF推荐期刊） 

3.Chen, Lin #*, el al. “Alzheimer‘s Disease Diagnosis With Brain Structural MRI Using Multiview-Slice Attention and 3D Convolution Neural Network.” Frontiers in Aging Neuroscience, 14 (2022): 871706. (一作/通信，中科院2区) 

4.Chen, Lin#*, el al. "Tackling class overlap and imbalance problems in software defect prediction." Software Quality Journal 26, no. 1 (2018): 97-125. (一作/通信，CCF推荐期刊) 

5.Chen, Lin#, el al. "Negative samples reduction in cross-company software defects prediction." Information and Software Technology 62 (2015): 67-77. （一作，中科院2区，CCF推荐期刊) 

6.Qiao, Hezhe#, Chen, Lin#, el al. “Early Alzheimer’s disease diagnosis with the contrastive loss using paired structural MRIs.” Computer Methods and Programs in Biomedicine, 208 (2021): 106282. (共一，中科院2区) 

7.Qiao, Hezhe#, Chen, Lin#, el al. "Ranking convolutional neural network for Alzheimer’s disease mini-mental state examination prediction at multiple time-points." Computer Methods and Programs in Biomedicine, 213 (2022): 106503. (共一，中科院2区) 

8.Zheng, Xiaoqiang#, Zhenxia Yu, Chen, Lin*, et.al. “Multi-label Contrastive Focal Loss for Pedestrian Attribute Recognition”, In 2020 25th International Conference on Pattern Recognition (ICPR), IEEE, 2021.（通信，CCF推荐会议） 

9.Peng, Binbin#, Chen, Lin*, et.al. "Fully convolutional neural networks for tissue histopathology image classification and segmentation", In 2018 25th IEEE International Conference on Image Processing (ICIP), 2018.（通信，CCF推荐会议）