李潍
副研究员 硕士生导师、博士生导师
电话: 电子邮箱:seuliwei@126.com
办公地址:li-wei@seu.edu.cn 邮编:
  • 基本信息
  • 教学工作
  • 科研成果
  • 荣誉奖励
  • 学术兼职
  • 招生情况
教育经历

博士:京都大学,智能科学与技术学院
本硕:东南大学,仪器科学与工程学院

工作经历

专任教师:东南大学 仪器科学与工程学院
博士后:大阪大学 产业科学研究所

科研方向

主要研究方向:
A. 生物医学信号处理(脑电、心电等等),包括心律失常判别、身份鉴别、情感识别等等

B. 图像处理,计算机视觉 ,包括行人识别、人脸识别、物体图像识别等等

C. 智能仪器,无线传感网及其应用
D. 模式识别、机器学习,包括深度学习、迁移学习、强化学习、等前沿方法的理论及应用

E. 优化理论(凸优化、组合优化等),人工智能基础理论  

F.  集群对抗、智能博弈对抗(星际争霸2.0及其它经典游戏)

----- 研究内容详见科研成果

主持科研项目:
1.面向xxxxxxxx系统 (国家级)
2.面向大规模数据行人重识别的相对邻域信息方法研究 (国家级)

3.面向集群XXXX研究 (国家级)

4.基于相对信息的人员再标识与跟踪方法的基础研究 (省部级)

5 航空基金 (省部级)

6 江苏省农业科技自主创新项目(省部级)

7.优秀留学人员择优资助

8. 企业合作项目

等等

联系方式
办公电话:
邮箱:seuliwei@126.com
办公地址:li-wei@seu.edu.cn

1、主讲课程:   

(a) 大三课程:模式识别(双语)   
(b) 大四课程:无线传感网及其应用

2、主持教改项目:     

(a) 无线传感网及其应用教学研究与改革(2017年结题)
(b) 面向无线传感网及其应用的跨学科创新实践与创业实训平台(2019年结题)
(c) 无线传感网及其应用课程思政校级示范课改革试点立项建设(2019年结题)
(d) 无线传感网课程思政教育教学改革(2019年结题)
(e) 模式识别课程思政校级示范课改革试点立项建设(2021年结题)
(f) 论文写作研究生课程思政示范课程建设(2022年结题)

(g) 无线传感网络及其应用全英文精品课程(2021-在研)

(h) 校级规划教材建设(2021-在研)

(i) 人工智能+AI

3、发表教改论文
(a
)无线传感网及其应用教学实践平台. 电气电子教学学报,卷40,页119-121,138, 2018

(b)模式识别课程中的“智慧启迪”与“情怀教育”, 电气电子教学学报,2021

4、指导学生竞赛获奖     指导学生参加全国大学生生物工程创新设计大赛获全国二等奖
5、指导毕业设计、SRTP项目若干

6、江苏省仪器仪表学会优秀硕士毕业论文1篇

  • 国际期刊论文          

[1] Wei Li, Teng Liu, et al. SleepFC: Feature Pyramid and Cross-Scale Context Learning for Sleep Staging, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024

[2] Wei Li, Jianzhang Dong et al. Dynamic Stream Selection Network for Subject-Independent EEG-Based Emotion Recognition, IEEE Sensors Journal. 2024 

[3] Wei Li, Lingming Fan, et al., Generalized Contrastive Partial Label Learning for Cross-Subject EEG-based Emotion Recognition, IEEE Transactions on Instrumentation and Measurement, 2024.

[4] Wei Li, Shitong Shao, et al. Multi-Perspective Analysis on Data Augmentation in Knowledge Distillation, Neurocomputing, 2024 (IF=6.0)

[5] Wei Li, Shiyi Huang, et al. GAILPG: Multi-Agent Policy Gradient with Generative Adversarial Imitation Learning, IEEE Transactions on Games, 2024.

[6] 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. 

[7]   Wei Li, Ziming Qiu, et al. MDDP: Making Decisions from Different Perspectives in Multi-Agent Reinforcement Learning, IEEE Transactions on Games, 2023.

[8] Wei Li, Chuyi Chen, et al. Absorb and Repel" Pseudo-label Refiinement for Intra-Camera Supervised Person Re-identificationIEEE Transactions on Artificial Intelligence, 2023.

[9] 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)

[10]  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)

[11] 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.

[12] 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.

[13] Wei Li, Cheng Fang, et al. Turning Wast into Wealth: Person Identification by Emotion-Disturbed Electrocardiogram, IET Biometrics, 2023. (IF=2.0.

[14] 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.

[15] 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)

[16] 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

[17] 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. 

[18] 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

[19] 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

[20] 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

[21] 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

[22] 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

[23] 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

[24] 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

[25] Wei Li, “Wavelets for electrocardiogram: overview and taxonomy,” IEEE Access, Vol. 7, PP. 25627-25649, 2018.IF=4.1

[26] 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

[27] 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

[28] Wei Li, et al., “Re-identification by neighborhood structure metric learning,” Pattern Recognition, Vol. 61, PP. 327-338, 2017.IF=8.4

[29] 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

[30] Wei Li, et al., “Locality based discriminative measure for multiple-shot human re-identification,” Neurocomputing, Vol. 167, PP. 280-289, 2015.IF=6.0

[31] 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

[32] 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

[33] 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

[34] Wei Li, et al., A Hierarchical Three-Dimensional MLP-based Model for EEG EmotionRecognition,  IEEE Sensors Letters, 2023. (IF=2.8)

[35]  Wei Li et al., PL-DINO: An Improved Transformer-Based Method for Plant Leaf Disease Detection, Agriculture, 2024.

[36] 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


  •           国际会议论文          

[37]. 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      

[38]. Wei Li, Shitong Shao, et al. What role does data augmentation play in knowledge distillation? 16th Asian Conference on Computer Vision (ACCV), 2022

[39]. 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          

[40]. 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         

[41]. 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        

[42]. 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         

[43]. 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          

[44]. 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            

[45]. Yang Wu, Wei Li, Masayuki Mukunoki, Michihiko Minoh, Shihong Lao, Discriminative Collaborative Representation for Classification, 12th Asian Conference on Computer Vision (ACCV), 2014          

[46]. Yang Wu, Masayuki Mukunoki, Michihiko Minoh, Wei Li, Shihong Lao, Collaborative Sparse Approximation for Multiple-shot Across-camera Person Re-identification, AVSS 2012.         

  Cognitive Computation (IF=5.4)期刊副主编         


2-6人/年



——————————————

博士研究生:

博一:徐成(230239023@seu.edu.cn) 

——————————————

硕士毕业生:

2022届——张震  (沐曦集成电路 zhangzhenng@126.com)

2023届——侯博文(申博  sxllhoubowen@126.com )

      朱腾飞 (哈工大  1793515946@qq.com)

      王明明 (百度 自然语言处理   wangmm_07@163.com)

      田也 (中国移动)

      房承

      陈楚艺

      易洋哲

      宦玮

2024届  待更新