师资队伍

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李伟

日期 : 2024-03-22    点击数:       人工智能与计算机学院
职务

基本信息

李伟,江南大学人工智能与计算机学院副教授、硕导,武汉大学国家网络安全学院软件工程专业博士。曾担任美国马塞诸塞州大学波士顿访问学者(Visiting Scholar),以及香港理工大学研究助理(Research Assistant)。担任《武汉大学学报.理学版》青年编委、《Advanced Manufacturing》青年编委、CIKM PC Member、ICDCS PC Member、IEEE会员、CAAI会员、CCF会员等,为江苏省SC博士。

研究领域

深度生成模型、目标识别、隐私计算。

研究成果

以第一作者/通讯作者发表论文30余篇,其中包括IEEE Transactions on Cybernetics、IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Automation Science and Engineering、IEEE Transactions on Industrial Informatics、ACM Transactions on Multimedia Computing、Communications and Applications等,Google Scholar引用>500,h指数=14。2024年入选ESI高被引论文1篇,近期发表的部分论文:

[A1] L Chen, W Li*(李伟), X Cui, Z Wang, St. Berretti, S Wan. MS-GDA: Improving Heterogeneous Recipe Representation via Multinomial Sampling Graph Data Augmentation [J]. ACM Transactions on Multimedia Computing, Communications, and Applications. 2024. DOI:10.1145/3648620. IF=5.1.
[A2] C Xu, W Li*(李伟), X Cui, Z Wang, F Zheng, X Zhang, B Chen. Scarcity-GAN: Scarce data augmentation for defect detection via generative adversarial nets. Neurocomputing, 2023, 566: 127061. DOI: 10.1016/j.neucom.2023.127061. IF=6.0.
[A3] W Li (李伟), C Gu, J Chen, C Ma, X Zhang, B Chen, S Wan. DLS-GAN: Generative Adversarial Nets for Defect Location Sensitive Data Augmentation. [J]. IEEE Transactions on Automation Science and Engineering, 2023. DOI: 10.1109/TASE.2023.3309629. IF=5.6.
[A4] W Li (李伟), C Gu, J Chen, C Ma, X Zhang, B Chen, P Chen. DW-GAN: Towards High-Fidelity Color-Tones of GAN-Generated Images with Dynamic Weights. IEEE Transactions on Neural Networks and Learning Systems, 2023. DOI: 10.1109/TNNLS.2023.3311545. IF=10.4.
[A5] P Liu, Y Wang, J Yang, W Li*(李伟). An Adaptive Enhancement Method for Gastrointestinal Low-Light Images of Capsule Endoscope. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2023. DOI: 10.1109/ICASSP49357.2023.10096462.
[A6] A Zhu, Y Wang, W Li*(李伟), P Qian. Structural Reparameterization Lightweight Network for Video Action Recognition. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2023. DOI: 10.1109/ICASSP49357.2023.10096764.
[A7] W Li(李伟), Z Liang, P Ma, R Wang, X Cui, P Chen. Hausdorff GAN: Improving GAN Generation Quality With Hausdorff Metric[J]. IEEE Transactions on Cybernetics, 2021. DOI: 10.1109/TCYB.2021.3062396. IF=11.8.
[A8] W Li(李伟), W Liu, J Chen, L Wu, PD Flynn, W Ding, P Chen. Reducing Mode Collapse With Monge–Kantorovich Optimal Transport for Generative Adversarial Networks. IEEE Transactions on Cybernetics, 2023. DOI: 10.1109/TCYB.2023.3296109. IF=11.8.
[A9] W Li (李伟), J Chen, J Cao, C Ma, J Wang, X Cui, P Chen. EID-GAN: Generative Adversarial Network for Extremely Imbalanced Data Augmentation [J]. IEEE Transactions on Industrial Informatics, 2022, 117: 102082. DOI: 10.1109/TII.2022.3182781. IF=12.3.
[A10] J Chen, J Cao, Z Liang, X Cui, L Yu, W Li*(李伟). STPD: Defending against ℓ0-norm attacks with space transformation[J]. Future Generation Computer Systems, 2022, 126: 225-236. IF=7.5.
[A11] W Li (李伟), J Chen, Z Wang, Z Shen, C Ma, X Cu. IFL-GAN: Improved Federated Learning Generative Adversarial Network with Maximum Mean Discrepancy Model Aggregation. IEEE Transactions on Neural Networks and Learning Systems, 2022. DOI: 10.1109/TNNLS.2022.3167482. IF=10.4.
[A12] W Li (李伟), J Chen, P Chen, L Yu, X Cui, Y Li, F Cheng, W Ouyang. NIA-Network: Towards improving lung CT infection detection for COVID-19 diagnosis[J]. Artificial Intelligence in Medicine, 2021, 117: 102082. DOI: 10.1016/j.artmed.2021.102082. IF=7.5.
[A13] W Li (李伟), L Xu, Z Liang, S Wang, J Cao, TC Lam, X Cui. JDGAN: Enhancing generator on extremely limited data via joint distribution[J]. Neurocomputing, 2021, 431: 148-162. DOI: 10.1016/ j.neucom.2020.12.001. IF=6.0.
[A14] L Chen, X Cui, W Li*(李伟). Meta-Learning for Few-Shot Plant Disease Detection[J]. Foods, 2021, 10(10): 2441. IF=5.2.
[A15] W Li (李伟), L Fan, Z Wang, C Ma, X Cui. Tackling mode collapse in multi-generator GANs with orthogonal vectors[J]. Pattern Recognition. 2021, 110: 107646. DOI: 10.1016/j.patcog.2020.107646. IF=8.0.
[A16] W Li (李伟), Z Liang, J Neuman, J Chen, X Cui. Multi-generator GAN learning disconnected manifolds with mutual information [J]. Knowledge-Based Systems, 2021, 212: 106513. DOI: 10.1016/j.knosys.2020.106513. IF=8.8.

科研项目

1、十四五科技部重点研发计划《食品安全全程全息风险感知及防控体系构建与应用示范》子课题《食品全程全息多源异构数据端口对接及转换技术》,2022YFF1101100,在研,主持(2022.12-2026.12)。
2、江苏省SC博士,基于生成对抗网络的小样本机器学习, JSSCBS20210827,纵向,已结题。(2021.9-2023.9)。
3、云南大学跨境网络空间安全教育部工程研究中心,《跨境数据确权与隐私保护研究》,KJAQ202112014,结题,主持(2021.12-2022.12)。

联系方式:cs_weili@jiangnan.edu.cn