李伟

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Research Assistant和Research Fellow。现担任《武汉大学学报.理学版》青年编委、《Advanced Manufacturing》青年编委、CIKM2024 PC member、ICDCS2024 PC member、ECAI2024 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40余篇，其中包括IEEE TMC，TCYB，TNNLS，T-ASE，TCSVT，TCBB，TII，TIM，ACM ToMM，PR，NN等，Google Scholar引用>800。2024年入选ESI高被引论文1篇，近期发表的部分论文：

1) Li W(李伟), Shen Z, Liu X, M Wang, C Ma, C Ding, J Cao. Representative Kernels-based CNN for Faster Transmission in Federated Learning[J]. IEEE Transactions on Mobile Computing, 2024. DOI: 10.1109/TMC.2024.3423448. IF=7.7.
2) Zhang C, Li W*(李伟), Deng M, Y Jiang, X Cui, P Chen. SIG: Graph-Based Cancer Subtype Stratification With Gene Mutation Structural Information[J]. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2024. DOI: 10.1109/TCBB.2024.3414498. IF=4.5.
3) Zhu A, Wang Y, Yang J, T Yan, H Ma, W Li*(李伟). YOWOv3: A Lightweight Spatio-Temporal Joint Network for Video Action Detection[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024. DOI: 10.1109/TCSVT.2024.3387933. IF=8.4.
4) Li W(李伟), Zhang M, Li W, Y Wang, X Zhang, B Chen,H Ding. ASM-GAN: Arbitrary Object Shape Styles Manipulation in Synthesized Images for GANs[J]. IEEE Transactions on Instrumentation and Measurement, 2024. DOI: 10.1109/TIM.2024.3502835. IF=5.6.
5) 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.
6) 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.
7) 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.
8) 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.
9) 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.
10) 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.
11) 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.
12) J Chen, J Cao, Z Liang, X Cui, L Yu, W Li*(李伟). STPD: Defending againstℓ0-norm attacks with space transformation[J]. Future Generation Computer Systems, 2022, 126: 225-236. IF=7.5.
13) 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.
14) 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.
15) 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.
16) 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