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王维

　　 

　　王维，助理研究员，博士后，合作导师操晓春教授。博士毕业于大连理工大学，主要研究方向为迁移学习、零样本学习和小样本学习等。近年来，在知名国际期刊和国际会议IEEE TIP、IEEE TKDE、IEEE TNNLS、IEEE TCSVT、PR、ICML、NeurIPS、IJCAI、AAAI、ACM MM等上发表学术论文30余篇。

　　 

　　联系方式

　　wangwei29@mail.sysu.edu.cn

　　 

　　教育背景&工作经历

　　2022.10-至今，中山大学，网络空间安全学院，助理研究员，博士后

　　2018.09-2022.09，大连理工大学，软件学院，博士

　　2015.09-2018.07，安徽大学，计算机科学与技术学院，硕士

　　2011.09-2015.07，安徽农业大学，理学院，学士

　　 

　　代表性论文

  1. Wei Wang, Hanyang Li, Ke Shi, Chao Huang, Yang Cao, Cong Wang, Xiaochun Cao*. Optimal Graph Learning and Nuclear Norm Maximization for Deep Cross-Domain Robust Label Propagation. International Joint Conference on Artificial Intelligence (IJCAI), 2024. (CCF A类会议)
  2. Peng Zhao, Yin Wang, Wei Wang* (Corresponding Author), Jie Mu, Huiting Liu, Cong Wang, Xiaochun Cao. Multi-Attention Based Visual-Semantic Interaction for Few-Shot Learning. International Joint Conference on Artificial Intelligence (IJCAI), 2024. (CCF A类会议)
  3. Cong Wang, Wei Wang* (Corresponding Author), Chengjin Yu, Jie Mu. Explore Internal and External Similarity for Single Image Deraining with Graph Neural Networks. International Joint Conference on Artificial Intelligence (IJCAI), 2024. (CCF A类会议)
  4. Ziqi Wang, Wei Wang* (Corresponding Author), Chao Huang, Jie Wen, Cong Wang. Batch Singular Value Polarization and Weighted Semantic Augmentation for Universal Domain Adaptation. International Conference on Machine Learning (ICML), 2024. (CCF A类会议)
  5. Mengzhu Wang, Yuehua Liu, Jianlong Yuan, Shanshan Wang, Zhibin Wang, Wei Wang* (Corresponding Author). Inter-Class and Inter-Domain Semantic Augmentation for Domain Generalization. IEEE Transactions on Image Processing (TIP), 2024. (CCF A类期刊)
  6. Cong Wang, Liyan Wang, Jie Mu, Chengjin Yu, Wei Wang* (Corresponding Author). Progressive Local and Non-local Interactive Networks with Deeply Discriminative Training for Image Deraining. Proceedings of the 31st ACM International Conference on Multimedia (ACM MM), 2024. (CCF A类会议)
  7. Cong Wang, Chengjin Yu, Jie Mu, Wei Wang* (Corresponding Author). PercepLIE: A New Path to Perceptual Low-Light Image Enhancement. Proceedings of the 31st ACM International Conference on Multimedia (ACM MM), 2024. (CCF A类会议)
  8. Hao Li, Wei Wang* (Corresponding Author), Mengzhu Wang, Huibin Tan, Long Lan, Zhigang Luo, Xinwang Liu, Kenli Li. STFormer: SpatialTemporal-Aware Transformer for Video Instance Segmentation. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2024. (中科院一区期刊)
  9. Jie Mu, Feiping Nie, Wei Wang* (Corresponding Author), Jian Xu, Jing Zhang, Han Liu. MOCOLNet: A Momentum Contrastive Learning Network for Multimodal Aspect-Level Sentiment Analysis. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2023. (CCF A类期刊)
  10. Ye Wang, Junyang Chen, Mengzhu Wang, Hao Li, Wei Wang* (Corresponding Author), Houcheng Su, Zhihui Lai, Wei Wang, Zhenghan Chen. A Closer Look at Classifier in Adversarial Domain Generalization. Proceedings of the 31st ACM International Conference on Multimedia, 2023. (CCF A类会议)
  11. Wei Wang, Haojie Li, Zhengming Ding, Feiping Nie, Junyang Chen, Xiao Dong, Zhihui Wang. Rethinking Maximum Mean Discrepancy for Visual Domain Adaptation. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2023. (中科院一区)
  12. Wei Wang, Mengzhu Wang, Xiao Dong, Long Lan, Quannan Zu, Xiang Zhang, Cong Wang. Class-Specific and Self-Learning Local Manifold Structure for Domain Adaptation. Pattern Recognition (PR), 2023. (中科院一区)
  13. Wei Wang, Ziyi Wang, Mengzhu Wang, Haojie Li, Zhihui Wang. Importance Filtered Soft Label-Based Deep Adaptation Network. Knowledge-Based Systems, 2023. (中科院一区)
  14. Cong Wang, Jinshan Pan, Wei Wang (Equal Contribution), Jiangxin Dong, Mengzhu Wang, Yakun Ju, Junyang Chen. Promptrestorer: A Prompting Image Restoration Method with Degradation Perception. Advances in Neural Information Processing Systems (NeurIPS), 2023. (CCF A类会议)
  15. Wei Wang, Paul Li, Mengzhu Wang, Feiping Nie, Zhihui Wang, Haojie Li. Confidence Regularized Label Propagation Based Domain Adaptation. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2022. (中科院一区)
  16. Wei Wang, Shenglun Chen, Yuankai Xiang, Jing Sun, Haojie Li, Zhihui Wang, Fuming Sun, Zhengming Ding, Baopu Li. Sparsely-Labeled Source Assisted Domain Adaptation. Pattern Recognition (PR), 2021. (中科院一区)
  17. Mengzhu Wang, Wei Wang (Equal Contribution), Baopu Li, Xiang Zhang, Long Lan, Huibin Tan, Tianyi Liang, Wei Yu, Zhigang Luo. InterBN: Channel Fusion for Adversarial Unsupervised Domain Adaptation. Proceedings of the 29th ACM International Conference on Multimedia, 2021. (CCF A类会议)
  18. Wei Wang, Zhihui Wang, Haojie Li, Juan Zhou, Zhengming Ding. Adaptive Local Neighbors for Transfer Discriminative Feature Learning. 24th European Conference on Artificial Intelligence (ECAI), 2020. (CCF-B 类)

　　 

　　科研项目

  1. ⼈⼯智能基础模型关键技术研究，科技创新2030-“新⼀代⼈⼯智能（2030）”重⼤项⽬，骨干。
  2. 领域自适应中分布对齐和结构保持的统计与几何方法研究，国家自然科学基金青年基金，No. 62306343，主持。
  3. 视觉基础模型泛化中的可信伪标签问题研究，第75批中国博士后科学基金面上项目，主持。
  4. 中山大学高校基本科研业务费青年教师培育项目，No. 23qnpy56，主持。