李英明 - 浙江大学 - 信息与电子工程学院

个人简介

浙江大学信息与电子工程学院副教授，硕士生导师。分别于2007年和2010年在中国科学技术大学取得学士和硕士学位，并于2014年在浙江大学取得博士学位。主要研究领域为机器学习与数据挖掘。近5年在机器学习与数据挖掘领域发表二十多篇高水平国际会议和期刊文章。相关研究成果得到了国内外同行的认可，荣获CIKM 2017的Best Short Paper Award和ACML 2017的Best Student Paper Award。

研究领域

机器学习与数据挖掘

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

2018 Yingming Li, Ming Yang, and Zhongfei zhang. A Survey of Multi-View Representation Learning. IEEE Transactions on Knowledge and Data Engineering, doi:10.1109/TKDE.2018.2872063, 2018. Jiajiong Cao, Yingming Li*, and Zhongfei Zhang. Partially Shared Multi-Task Convolutional Neural Network with Local Constraint for Face Attribute Learning. CVPR 2018, pp.4290-4299. Jiajiong Cao, Yingming Li*, and Zhongfei Zhang. Celeb-500K: A Large Training Dataset for Face Recognition. ICIP 2018, pp.2406-2410, https://github.com/JiajiongCao/CELEB-500K. Yingming Li, Zenglin Xu, and Zhongfei Zhang. Learning with Incomplete Labels. AAAI 2018. Chaojie Mao, Yingming Li*, Yaqing Zhang, Zhongfei Zhang, and Xi Li. Multi-Channel Pyramid Person Matching Network for Person Re-identification. AAAI 2018. Jiajiong Cao, Yingming Li*, Xi Li, and Zhongfei Zhang. FR-ANet: A Face Recognition Guided Facial Attribute Classification Network. AAAI 2018, Student Abstract. 2017 Chaojie Mao, Yingming Li, Zhongfei Zhang, Yaqing Zhang, and Xi Li. Pyramid Person Matching Network for Person Re-identification. Proceedings of the 9th Asian Conference on Machine Learning, ACML 2017: 487-497. (Best Student Paper Award). Baiyun Cui, Yingming Li*, Yaqing Zhang, and Zhongfei Zhang. Text Coherence Analysis Based on Deep Neural Network. ACM International Conference on Information and Knowledge Management (CIKM) 2017: 2027-2030. (Best Short Paper Award). Yingming Li, Ming Yang, Zenglin Xu, and Zhongfei Zhang. Learning with Feature Network and Label Network Simultaneously. Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, AAAI 2017: 1410-1416. 2016 Haoli Bai, Zenglin Xu, Bin Liu, and Yingming Li. Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network. Proceedings of the 8th Asian Conference on Machine Learning, ACML 2016. (Best Student Paper Runner-up) Yingming Li, Ming Yang, Zenglin Xu, and Zhongfei Zhang. Multi-View Learning with Limited and Noisy Tagging. Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016: 1718-1724. Yingming Li, Ming Yang, Zenglin Xu, and Zhongfei Zhang. Learning with Marginalized Corrupted Features and Labels Together. Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, AAAI 2016: 1251-1257. Yingming Li, Ming Yang, Zhongang Qi, and Zhongfei Zhang. Bayesian Multi-task Relationship Learning with Link Structure. IEEE Transactions on Knowledge and Data Engineering, 28(4): 873-887 (2016) 2015 Zhong Ji, Yunlong Yu, Yanwei Pang, Yingming Li, Zhongfei Zhang. Marginal Fisher Regression Classification For Face Recognition. In Pacific Rim Conference on Multimedia (PCM) (1) 2015: 453-462. 2014 Ming Yang, Yingming Li, and Zhongfei Zhang. Scientific Articles Recommendation with Topic Regression and Relational Matrix Factorization. Journal of Zhejiang University - Science C 15(11): 984-998 (2014) 钱沄涛,何晓飞,李学龙,李英明,张仲非,面向跨媒体数据的因果推理,中国计算机学会通讯,10(7):20-25, 2014 2013 Yingming Li, Zhongang Qi, Zhongfei Zhang, and Ming Yang. Learning with Limited and Noisy Tagging. ACM Multimedia 2013: 957-966. Yingming Li, Ming Yang, and Zhongfei Zhang. Scientific Articles Recommendation. ACM International Conference on Information and Knowledge Management (CIKM) 2013: 1147-1156. Yingming Li, Ming Yang, Zhongang Qi, and Zhongfei Zhang. Bayesian Multi-Task Relationship Learning with Link Structure. International Conference on Data Mining 2013: 1115-1120. Ming Yang, Yingming Li, and Zhongfei Zhang. Multi-Task Learning with Gaussian Matrix Generalized Inverse Gaussian Model. International Conference on Machine Learning (ICML) (3) 2013: 423-431. Yingming Li, Ming Yang, and Zhongfei Zhang. Coordinate Ranking Regularized Non-negative Matrix Factorization. Asian Conference on Pattern Recognition (ACPR) 2013: 215-219.