研究成果
近期发表的部分论文及专著：
- [A1]Wei Li, Zicheng Shen, Xiulong Liu, Chuntao Ding, and Jiaxing Shen. Fed-OGD: Mitigating Straggler Effects in Federated Learning via Orthogonal Gradient Descent.IEEE Transactions on Computers. 2025.CCF-A. DOI: 10.1109/TC.2025.3584272.IF=3.8.
- [A2]Wei Li, Yanqing Zhang, Guifang Sun, Chao Ma, Jipeng Qiang, Jiaxing Shen. MRM: Improving Multihop Reasoning Capability for LLMs with Multistage QA Retrieval.IEEE Transactions on Emerging Topics in Computational Intelligence. 2025. DOI: 10.1109/TETCI.2025.3642285.IF=6.5.
- [A3]Wei Li, Zichen Shen, Xiulong Liu, Mingfeng Wang, Chao Ma, Chuntao Ding, Jiannong Cao. Representative Kernels-based CNN for Faster Transmission in Federated Learning.IEEE Transactions on Mobile Computing. 2024.CCF-A. DOI: 10.1109/TMC.2024.3423448.IF= 9.2.
- [A4] Cu i Xiaohui,Wei Li.《食品科学大数据与人工智能技术》(食品科学与技术前沿丛书)，中国轻工业出版社，ISBN：978-7-5184-5371-9, 2025.
- [A5] Liangzhe Chen,Wei Li*, Xiaohui Cui. Adaptive Multi-View Graph Completion: Enhancing Long-Tail Food Recommendation.IEEE Transactions on Consumer Electronics. 2025. DOI: 10.1109/TCE.2025.3642846. IF=10.9.
- [A6] 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.
- [A7]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.
- [A8]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.
- [A9]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.
- [A10]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.
- [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), 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.
