个人简历

Resume
I received my Ph.D. degree (supervisor Prof. Zhi-Hua Zhou) from Department of Computer Science and Technology of Nanjing University in 2012, M.Sc. degree from Department of Computer Science and Technology of Nanjing University in 2008, and B.Sc.degree from Department of Mathematics of Nanjing University in 2005. I joined Department of Computer Science and Technology of Nanjing University in 2012 and am a member of LAMDA group.
Book Chapter
王魏, 周志华. 多视图在利用未标记数据学习中的效用. 见: 张长水, 杨强 主编, 机器学习及其应用2013, 北京: 清华大学出版社, 2013, 27-45.
Awards
Outstanding Doctoral Dissertation Award of Jiangsu Province, 2013
Outstanding Doctoral Dissertation Award of Nanjing University, 2013
Outstanding Doctoral Dissertation Award of CCF, 2012
Microsoft Fellowship Award, 2009
Teaching
机器学习理论研究导引（研究生，2021年春季）
机器学习理论研究导引（研究生，2020年春季）
机器学习理论研究导引（研究生，2019年春季）
机器学习理论研究导引（研究生，2018年春季）
数字图像处理（本科生，2019年春季）
数字图像处理（本科生，2018年春季）
数字图像处理（本科生，2017年春季）
数字图像处理（本科生，2016年春季）
数字图像处理（本科生，2015年春季）
数据结构（本科生，2013年春季）

研究领域

My research interest mainly includes weakly supervised learning, especially in semi-supervised learning, active learning, crowdsoucing and learning with noisy labels.""

近期论文

Yi Zhang, Yu Zhang, and Wei Wang. Multi-Task Learning via Generalized Tensor Trace Norm. In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’21), Virtual, 2021.
Xian-Jin Gui, Wei Wang, Zhang-Hao Tian. Towards Understanding Deep Learning from Noisy Labels with Small-Loss Criterion. In: Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI’21), Virtual, 2021.
Cheng Hang, Wei Wang, De-Chuan Zhan. Multi-Modal Multi-Instance Multi-Label Learning with Graph Convolutional Network. In: Proceedings of 2020 International Joint Conference on Neural Networks (IJCNN’21), Virtual, 2021.
Shu Li, Wei Wang, Wen-Tao Li, Pan Chen. Multi-View Representation Learning with Manifold Smoothness. In: Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI’21), Virtual, 2021.
Shu Li, Wen-Tao Li, Wei Wang. Co-GCN for Multi-View Semi-Supervised Learning. In: Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI’20), New York City, NY, 2020.
Zhi-Hao Tan, Teng Zhang, Wei Wang. Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin Distribution Machine. In: Proceedings of the 33th AAAI Conference on Artificial Intelligence (AAAI’19), Honolulu, HI, 2019, pp.5083-5090.
Xiangyu Guo, Wei Wang. Towards making co-training suffer less from insufficient views. Frontiers of Computer Science, 2019, 13(1):99-105.
Dongdong Chen, Wei Wang, Wei Gao, Zhi-Hua Zhou. Tri-net for semi-supervised deep learning. In: Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI’18), Stockholm, Sweden, 2018.
Wei Wang, Xiang-Yu Guo, Shao-Yuan Li, Yuan Jiang, Zhi-Hua Zhou. Obtaining high-quality label by distinguishing between easy and hard items in crowdsourcing. In: Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI’17), Melbourne, Australia, 2017, pp.2964-2970.
Wei Wang, Zhi-Hua Zhou. Theoretical foundation of co-training and disagreement-based algorithms. CORR abs/1708.04403, 2017.
Wei Wang, Zhi-Hua Zhou. Crowdsourcing label quality: A theoretical study. Science China: Information Sciences, 2015, 58(11): 112103.
Wei Wang, Zhi-Hua Zhou. Co-training with insufficient views. In: Proceedings of the 5th Asian Conference on Machine Learning (ACML’13), Canberra, Australia, 2013, JMLR: W&CP 29, pp.467-482.
Wei Wang, Zhi-Hua Zhou. Learnability of multi-instance multi-label learning. Chinese Science Bulletin, 2012, 57(19): 2488-2491.
Bo Wang, Jiayan Jiang, Wei Wang, Zhi-Hua Zhou, Zhuowen Tu. Unsupervised metric fusion by cross diffusion. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’12), Providence, RI, 2012.
Quannan Li, Xinggang Wang, Wei Wang, Yuan Jiang, Zhi-Hua Zhou, Zhuowen Tu. Disagreement-Based Multi-system Tracking. In: Proceedings of the ACCV Workshop on Detection and Tracking in Challenging Environments (DTCE’12), in conjunction with ACCV'12, Daejeon, Korea, LNCS 7729, 2013, pp.320-334.
Wei Wang, Zhi-Hua Zhou. Multi-view active learning in the non-realizable case. In: Advances in Neural Information Processing Systems 23 (NIPS’10) (Vancouver, Canada), J. Lafferty, C. K. I. Williams, J. Shawe-Taylor, R. S. Zemel and A. Culotta, eds. Cambridge, MA: MIT Press, 2010, pp.2388-2396. (CORR abs/1005.5581)
Wei Wang, Zhi-Hua Zhou. A new analysis of co-training. In: Proceedings of the 27th International Conference on Machine Learning (ICML’10), Haifa, Israel, 2010, pp.1135-1142.
Ming Li, Wei Wang, Zhi-Hua Zhou. Exploiting remote learners in internet environment with agents. Science China: Information Sciences, 2010, 53(1): 64-76.
Wei Wang, Zhi-Hua Zhou. On multi-view active learning and the combination with semi-supervised learning. In: Proceedings of the 25th International Conference on Machine Learning (ICML’08), Helsinki, Finland, 2008, pp.1152-1159.
Wei Wang, Zhi-Hua Zhou. Analyzing co-training style algorithms. In: Proceedings of the 18th European Conference on Machine Learning (ECML’07), Warsaw, Poland, LNAI 4701, 2007, pp.454-465.
Journal Reviewer:
IEEE Transactions on Computers
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Neural Networks and Learning Systems
Machine Learning Journal
Neural Networks
Neurocomputing
IET Systems Biology
International Journal of Computer Mathematics
International Journal of Pattern Recognition and Artificial Intelligence
Science China: Information Sciences
Journal of Software
Journal of Electronics
Computer Research and Development
Conference Reviewer:
IJCAI, AAAI, ICML, NIPS, KDD, ACML, PRICAI, AISTATS