Tashkent University of Information Technologies named after Muhammad al-Khwarizmi

Wei Li

Associate professor of School of Artificial Intelligence and Computer Science, Jiangnan University:

Wei Li

Wei Li is currently an Associate professor of School of Artificial Intelligence and Computer Science, Jiangnan University. He was undergraduate from the subject of Information and Computing Science in 2008, and receives his Master’s degree in Agricultural Engineering from South China Agricultural university in2012, and gets his Ph.D. degree in Software Engineering from Wuhan University in 2019. His research interest includes Big Data Analysis, Deep Generative Model, Edge Computing. IEEE Member. The Visiting Scholar of UMB, USA; and the Research Assistant of PolyU, HongKong. The Young Editorial Board Members of <<Advanced Manufacturing>> Journal and the Journal of <<Wuhan University (Natural Science Edition)>>. He is also the CIKM PC Member, ECAI PC member, and ICDCS PC Member (Big Data Track).

PUBLICATIONS

  1. Chen Liangzhe, Li Wei*, Cui Xiaohui, Wang Zhenyu, Berretti Stefano, Wan Shaohua. MS-GDA: Improving Heterogeneous Recipe Representation via Multinomial Sampling Graph Data Augmentation. ACM Transactions on Multimedia Computing, Communications and Applications. DOI: 10.1145/3648620.
  2. Li Wei*, Chengchun Gu, Jinlin Chen, Chao Ma, Xiaowu Zhang, Bin Chen, Ping Chen. DW-GAN: Towards High-Fidelity Color-Tones of GAN-Generated Images with Dynamic Weights. IEEE Transactions on Neural Networks and Learning Systems. DOI: 10.1109/TNNLS.2023.3311545.
  3. Li Wei, Wei Liu, Jinlin Chen, Libing Wu, Patrick D Flynn, Wei Ding, Ping Chen. Reducing Mode Collapse With Monge–Kantorovich Optimal Transport for Generative Adversarial Networks. IEEE Transactions on Cybernetics. DOI: 10.1109/TCYB.2023.3296109.
  4. Li Wei*, Chengchun Gu, Jinlin Chen, Chao Ma, Xiaowu Zhang, Bin Chen, Shaohua Wan. DLS-GAN: Generative Adversarial Nets for Defect Location Sensitive Data Augmentation. IEEE Transactions on Automation Science and Engineering. DOI: 10.1109/TASE.2023.3309629.
  5. Wei Li, Jinlin Chen, Zhixuan Liang, Zhenyu Wang, Zhidong Shen, Chao Ma, Xiaohui Cui. IFL-GAN: Improved Federated Learning Generative Adversarial Network with Maximum Mean Discrepancy Model Aggregation. IEEE Transactions on Neural Networks and Learning Systems. DOI: 10.1109/TNNLS.2022.3167482.