汪梦竹，博士，河北工业大学准聘副教授，元光学者，硕士生导师。分别于2018年和2023年在重庆大学获得硕士学位和国防科技大学获得博士学位。研究方向为机器学习及迁移学习。目前在机器学习与人工智能领域顶级期刊（IEEE TIP, IEEE TKDE, IEEE TNNLS）和顶级会议（CVPR, AAAI, ACMMM, ICML, ICLR）发表论文50余篇。担任人工智能顶级会议ICML, ICLR, AAAI，NeurIPS的程序委员会成员。
联系方式：
邮箱：dreamkily@gmail.com
谷歌学术：https://scholar.google.com/citations?user=sgQmLjgAAAAJ
主页：https://dreamkily.github.io/
论文著作 (部分论文)：
1. Mengzhu Wang, X Zhang, L Lan, Z Luo (2024). Inter-Class and Inter-Domain Semantic Augmentation for Domain Generalization , IEEE Transactions on Image Processing (TIP) (CCF-A, 中科院一区)
2. Mengzhu Wang, X Zhang, L Lan, Z Luo (2024). Smooth-Guided Implicit Data Augmentation for Domain Generalization, IEEE Transactions on Neural Networks and Learning Systems (TNNLS) (中科院一区)
3. Mengzhu Wang, X Zhang, L Lan, Z Luo (2024). Equity in Unsupervised Domain Adaptation by Nuclear Norm Maximization, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) (中科院一区)
4. Mengzhu Wang, W Wang, B Li, X Zhang, L Lan, H Tan, T Liang, W Yu, Z Luo. (2021). Interbn: Channel fusion for adversarial unsupervised domain adaptation, 2021 ACM 30th International Conference on Multimedia (ACMMM) (CCF-A会议 oral).
5. Mengzhu Wang, J Yuan, Q Qian, Z Wang, H Li. (2022). Semantic Data Augmentation based Distance Metric Learning for Domain Generalization. 2022 ACM 30th International Conference on Multimedia (ACMMM) (CCF-A会议 oral).
6. Mengzhu Wang, J Yuan, Z Wang. (2023). Mixture-of-Experts Learner for Single Long-Tailed Domain Generalization. 2023 ACM 31th International Conference on Multimedia (ACMMM) (CCF-A会议 oral)
7. Mengzhu Wang, J Chen, H Wang, H Wu, Z Liu, Q Zhang. (2023). Interpolation Normalization for Contrast Domain Generalization. 2023 ACM 31th International Conference on Multimedia (ACMMM) (CCF-A会议)
8. Mengzhu Wang, S Wang, W Wang, T Liang, J Chen, Z Luo. (2023) Reducing Bi-level Feature Redundancy for Unsupervised Domain Adaptation. Pattern Recognition (中科院一区)
9. Mengzhu Wang, P Li, L Shen, Y Wang, S Wang, W Wang, X Zhang, J Chen, Z Luo. (2022). Informative Pairs Mining based Adaptive Metric Learning for Adversarial Domain Adaptation, Neural Networks (中科院一区).
10. Mengzhu Wang, S Wang, Y Wang, T Liang, J Chen, Z Luo. (2023) Boosting Unsupervised Domain Adaptation: A Fourier approach, Knowledge-Based Systems (中科院一区)
11. N Yin*, Mengzhu Wang*, B Gu, X Luo, DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption, 2024, International Conference on Learning Representations (ICLR) (共同一作)
12. H Su, W Luo, D Liu, Mengzhu Wang*, J Tang, J Chen, C Wang, Z Chen. (2024). Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization, Association for the Advancement of Artificial Intelligence (AAAI) (CCF-A会议, 通讯作者).
13. T Liang, B Li, Mengzhu Wang*, H Tan, Z Luo. A Closer Look at the Joint Training of Object Detection and Re-identification in Multi-Object Tracking, IEEE Transactions on Image Processing (CCF-A期刊, 中科院一区, 通讯作者)
14. Mengzhu Wang, S An, X Luo, X Peng, W Yu, J Chen, Z Luo. (2022). Attention-based Adversarial Partial Domain Adaptation, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (CCF-B会议)
15. Mengzhu Wang, J Chen, Y Wang, Z Chen, (2023) Joint Adversarial Domain Adaptation With Structural Graph Alignment, IEEE Transactions on Network Science and Engineering (中科院二区)
16. Mengzhu Wang, J Chen, Y Wang, Z Gong, K Wu, C.M.Leung. (2023) TFC: Transformer Fused Convolution for Adversarial Domain Adaptation, IEEE Transactions on Computational Social Systems (中科院二区)
17. W. Wang, Mengzhu Wang*, X Dong, L Lan, Q Zu, X Zhang, C Wang. (2023). Class-specific and Self-learning Local Manifold Structure for Domain Adaptation. Pattern Recognition (中科院一区, 通讯作者)
18. W Wang, Mengzhu Wang*, Z Wang, H Li, Z Wang. (2023) Importance filtered soft label-based deep adaptation network. Knowledge-Based Systems (中科院一区, 通讯作者)
19. N Yin, L Shen, Mengzhu Wang, X Luo, Z Luo, D Tao, (2023). OMG: Towards Effective Graph Classification Against Label Noise. IEEE Transactions on Knowledge and Data Engineering. (CCF-A期刊, 中科院一区)
20. W Wang, B Li, Mengzhu Wang, F Nie, Z Wang, H Li. (2021). Confidence regularized label propagation based domain adaptation. IEEE Transactions on Circuits and Systems for Video Technology (中科院一区).
学术兼职：
期刊审稿人：IEEE Transactions on Image Processing、IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Circuits and Systems for Video Technology、IEEE Transactions on Network Science and Engineering、Neural Networks, Pattern Recognition, ...
会议审稿人：NeurIPS、ICML、ICLR、CVPR、AAAI、ACMMM等
指导学生：
Wenhao Ren (任文浩)，2024~2027.
Yanlong Fan (樊彦龙)，2024~2027.
Yu Zhang (张宇), 2024~2027.
招生信息：
招收对机器学习、迁移学习、生物信息等方向感兴趣的同学加入，请有意向的同学将个人简历和本科成绩发送至dreamkily@gmail.com
河北工业大学，人工智能与数据科学学院， 准聘副教授/硕士生导师， 2023.12-至今
中国人民解放军军事科学院，脑科学研究所，访问学者，2023.11-至今
阿里巴巴，达摩院，实习算法研究员，2022.02-2023.10
京东，探索研究院， 实习算法研究员，2021.10-2022.02
清华大学， 计算机科学与技术系，实习生，2017.08-2017.12