閆海濱，女，2004年和2007年分別獲西安理工大學機械工程學士和碩士學位，2013年3月獲新加坡國立大學機械工程博士學位。2015年10月加入北京郵電大學自動化學院，現擔任副教授，碩士生導師，主要研究領域為服務機器人與機器視覺，具體研究內容包括人臉檢測與識別、情感分析與識別，行為分析與理解。近年來在IEEE Transactions on Cybernetics、IEEE Transactions on Information Forensics and Security、Pattern Recognition、ICRA等重要國際期刊和會議上發表學術論文20餘篇，其中被SCI檢索14篇。長期擔任包括IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing，IEEE Transactions on Knowledge and Data Engineering，IEEE Transactions on Information Forensics and Security，IEEE Transactions on Affect Computing、IEEE ICME和IEEE VCIP等二十餘種國際期刊和會議的審稿人。作為負責人主持國家自然科學基金項目1項和北京市自然科學基金項目1項。
基本介紹
研究領域,學術成果,成果及論著,教學工作,
研究領域
服務機器人與機器視覺、
學術成果
科研項目
·國家自然科學基金青年項目，面向血緣關係認證的人臉特徵學習方法研究，負責人，2017-2019
·北京市自然科學基金青年項目，基於視頻的人臉血緣關係認證，負責人，2017-2018
·北京郵電大學青年科研創新計畫項目，面向服務機器人的多模態情感識別方法研究，負責人，2017-2018
·杭州天貓技術有限公司委託項目：人臉檢測與關鍵點定位技術，負責人，2017-2018
成果及論著
1. Haibin Yan, Collaborative discriminative multi-metric learning for facial expression recognition in video, Pattern Recognition, vol. 75, pp, 33-40, 2018.
2. Haibin Yan and Junlin Hu, Video-based kinship verification using distance metric learning, Pattern Recognition, vol. 75, pp, 15-24, 2018.
3. Haibin Yan, Kinship verification using neighborhood repulsed correlation metric learning, Image and Vision Computing, vol. 60, pp. 91-97, 2017.
4. Haibin Yan, Transfer subspace learning for cross-dataset facial expression recognition, Neurocomputing, vol. 208, pp. 165-173, 2016.
5. Haibin Yan, Discriminative sparse projections for activity-based person recognition, Neurocomputing, vol. 208, pp. 183-192, 2016.
6. Haibin Yan, Biased subspace learning for misalignment-robust facial expression recognition, Neurocomputing, vol. 208, pp. 202-209, 2016.
7. Haibin Yan, Jiwen Lu, and Xiuzhuang Zhou, Prototype-based discriminative feature learning for kinship verification, IEEE Transactions on Cybernetics, vol. 45, no. 11, pp. 2535-2545, 2015.
8. Haibin Yan, Jiwen Lu, Weihong Deng, and Xiuzhuang Zhou, Discriminative multimetric learning for kinship verification, IEEE Transactions on Information Forensics and Security, vol. 9, no. 8, pp. 1169-1178, 2014.
9. Haibin Yan, Jiwen Lu, Xiuzhuang Zhou, and Yuanyuan Shang, Multi-feature multi-manifold learning for single-sample face recognition, Neurocomputing, vol.143, pp. 134-143, 2014.
10. Haibin Yan, Cost-sensitive ordinal regression for fully-automatic facial beauty assessment, Neurocomputing, vol. 129, pp. 334-342, 2014.
11. Haibin Yan, Marcelo H. Ang, Jr., and Aun Neow. Poo, A survey on perception methods for human-robot interactions in social robots, International Journal of Social Robotics, vol. 6, no. 1, pp. 85-119, 2014.
12. Haibin Yan, Marcelo H. Ang, Jr., and Aun Neow. Poo, Adaptive discriminative metric learning for facial expression recognition, IET Biometrics, vol. 1, no. 3, pp. 160-167, 2012.
教學工作
本科生課程：《工程圖學》
本科生課程：《檢測技術與信號處理》
