Wei Li, Shitong Shao, et al. 2D-SNet: A lightweight Network for Person Re-identification on the Small Data Regime, IEEE Transactions on Biometrics, Behavior, and Identity Sciences, 2023.
 Wei Li, Ziming Qiu, et al. MDDP: Making Decisions from Different Perspectives in Multi-Agent Reinforcement Learning, IEEE Transactions on Games, 2023.
 Wei Li, Chuyi Chen, et al. Absorb and Repel" Pseudo-label Refiinement for Intra-Camera Supervised Person Re-identification. IEEE Transactions on Artificial Intelligence, 2023.
 Wei Li, Cheng Fang, et al. Fractal Spiking Neural Network Scheme for EEG-based Emotion Recognition. IEEE Journal of Translational Engineering in Health and Medicine, 2023. (IF=3.4)
 Wei Li, Wei Huan, et al. MS-FRAN: A Novel Multi-Source Domain Adaptation Method for EEG-Based Emotion Recognition,
IEEE Journal of Biomedical and Health Informatics, 2023. (IF=7.7)
 Wei Li, Weiyan Liu, et al. Attention-based Intrinsic Reward Mixing Network for Credit Assignment in Multi-Agent Reinforcement Learning, IEEE Transactions on Games, 2023. (IF=2.3）.
 Wei Li, Ye Tian, et al. A Bi-Stream Hybrid Model with MLPBlocks and Self Attention Mechanism for EEG-Based Emotion Recognition, Biomedical Signal Processing and Control, 2023. (IF=5.1）.
 Wei Li, Cheng Fang, et al. Turning Wast into Wealth: Person Identification by Emotion-Disturbed Electrocardiogram, IET Biometrics, 2023. (IF=2.0）.
 Wei Li, Mingming Wang, et al. EEG-Based Emotion Recognition Using Trainable Adjacency Relation Driven Graph Convolutional Network, IEEE Transactions on Cognitive and Developmental Systems, 2023. (IF=5.0）.
 Wei Li, Bowen Hou, et al., TMLP+SRDANN: A domain adaptation method for EEG-based emotion recognition. Measurement, Vol. 207, PP. 112379(1)-112379(10), 2023. (IF=5.131)
 Wei Li, Yangzhe Yi, et al. A Novel Tensorial Scheme for EEG-Based Person Identification, IEEE Transactions on Instrumentation and Measurement, Vol. 72, PP. 2500717(1)-2500717(17), 2022. (IF=5.6）
 Wei Li, Xiaoyu Li, et al., Overview of Reinforcement Learning for Person Re-Identification, IEEE Transactions on Biometrics, Behavior, and Identity Science, Vol 5, No. 1, PP. 105-114, 2023.
 Wei Li, Tengfei Zhu, et al., Recommending Advanced Deep Learning Models for Efficient Insect Pest Detection, Agriculture, Vol. 12, No. 7 1065(1)-1065(17), 2022. (IF=3.6）
 Wei Li, Wei Huan, et al., “Can emotion be transferred? – a review on transfer learning for EEG-based emotion recognition,” IEEE Transactions on Cognitive and Developmental Systems, Vol. 14, No. 3, PP. 833-846, 2022. (IF=4.546）
 Wei Li, “Finding needles in a haystack: recognizing emotions Just from your heart,” IEEE Transactions on Affective Computing, vol. 14, pp. 1488-1505, 2023. (IF=11.9）
 Wei Li, Zhen Zhang, et al., “Collaborative-set measurement for ECG-based human identification,” IEEE Transactions on Instrumentation and Measurement, Vol. 70, PP. 2510008(1)-2510008(8), 2021. (IF=5.4）
 Wei Li, Zhen Zhang; et al., A novel spatial-temporal field for emotion recognition based on EEG signals, IEEE Sensors Journal, Vol. 21, No. 23, PP. 26941(1)-26941(10), 2021. (IF=4.325）
 Wei Li, Zhen Zhang, et al., “Physiological-signal-based emotion recognition: an odyssey from methodology to philosophy,” Measurement, Vol. 172, PP. 108747(1)-108747(26), 2021. (IF=5.0）
 Wei Li, “Deep intermediate representation and in-set voting scheme for multiple-beat electrocardiogram classification,” IEEE Sensors Journal, Vol. 19, No. 16, PP. 6895-6904, 2019.（IF=4.3）
 Wei Li, “Wavelets for electrocardiogram: overview and taxonomy,” IEEE Access, Vol. 7, PP. 25627-25649, 2018.（IF=4.1）
 Wei Li, et al., “Local deep field for electrocardiogram beat classification,” IEEE Sensors Journal, Vol. 18, No. 4, PP. 1656-1664, 2018.（IF=4.3）
 Wei Li, et al., “Multiple-shot person re-identification via fair set-collaboration metric learning,” Neurocomputing, Vol. 242, No. C, PP. 15-27, 2017.（IF=6.0）
 Wei Li, et al., “Re-identification by neighborhood structure metric learning,” Pattern Recognition, Vol. 61, PP. 327-338, 2017.（IF=8.4）
 Wei Li, et al., “Set-based discriminative measure for electrocardiogram beat classification,” Sensors, Vol. 17, No. 2, PP. 234(1)-234(17), 2017.（IF=4.1）
 Wei Li, et al., “Locality based discriminative measure for multiple-shot human re-identification,” Neurocomputing, Vol. 167, PP. 280-289, 2015.（IF=6.0）
 Wei Li, et al., “Person re-identification by common-near-neighbor analysis,” IEICE Transactions on Information and Systems, Vol. E97D, No. 11, PP. 2935-2946, 2014.（IF=0.7）
 Wei Li, et al., “Bi-level relative information analysis for multiple-shot person re-identification,” IEICE Transactions on Information and Systems, Vol. E96D, No. 11, PP. 2450-2461, 2013.（IF=0.7）
 Wei Li, et al., “Coupled metric learning for single-shot versus single-shot person reidentification,” Optical Engineering, Vol. 52, No. 2, PP. 027203(1)- 027203(10), 2013.（IF=1.2）
 Wei Li, et al., A Hierarchical Three-Dimensional MLP-based Model for EEG EmotionRecognition, IEEE Sensors Letters, 2023. (IF=2.8)
 Lifeng Zhu, Wei Li, Xiaorui Zhang, and Aiguo Song, “Diffusion-based non-uniform regularization for variational shape deformation,” Computer-Aided Design, Vol. 81, PP. 61-69, 2016.（IF=4.3）
. Wei Li, Bowen Hou, et al. Spatial-Temporal Constraint Learning for Cross-Subject EEG-Based Emotion recognition, International Joint Conference on Neural Networks (IJCNN), 2023
. Wei Li, Shitong Shao, et al. What role does data augmentation play in knowledge distillation? 16th Asian Conference on Computer Vision (ACCV), 2022
. Wei Li, Weiyan Liu, et al. AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network. 14th Asian Conference on Machine Learning (ACML), 2022
. Wei Li,Ye Tian, et al. BiSMSM: A Hybrid MLP-based Model of Global Self-Attention Processes for EEG-based Emotion Recognition, International Conference on Artificial Neural Networks (ICANN) 2022
. Wei Li, Yang Wu, Masayuki Mukunoki, Michihiko Minoh, Locality Based Discriminative Measure for Multiple-shot Person Re-identification, 10th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), 2013
. Wei Li, Yang Wu, Yasutomo Kawanishi, Masayuki Mukunoki, Michihiko Minoh, Riemannian Set-level Common-Near-Neighbor Analysis for Multiple-shot Person Re-identification, 13th IAPR Conference on Machine Vision Applications (MVA), 2013
. Wei Li, Yang Wu, Masayuki Mukunoki, Michihiko Minoh, Common-Near-Neighbor Analysis for Person Re-identification, 19th IEEE International Conference on Image Processing (ICIP), 2012
. Yang Wu, Wei Li, Michihiko Minoh, Masayuki Mukunoki, Can Feature-Based Inductive Transfer Learning Help Person Re-Identification?, 20th IEEE International Conference on Image Processing (ICIP), 2013
. Yang Wu, Wei Li, Masayuki Mukunoki, Michihiko Minoh, Shihong Lao, Discriminative Collaborative Representation for Classification, 12th Asian Conference on Computer Vision (ACCV), 2014
. Yang Wu, Masayuki Mukunoki, Michihiko Minoh, Wei Li, Shihong Lao, Collaborative Sparse Approximation for Multiple-shot Across-camera Person Re-identification, AVSS 2012.