何晓飞教授是人工智能领域的国际杰出学者，在美国芝加哥大学获得计算机科学博士学位，曾在美国雅虎研究院工作，任职研究科学家。他与流形学习奠基人Partha Niyogi教授共同提出的保局投影算法是世界上第一个线性流形算法，在国际上掀起了基于图论的线性降维算法研究热潮。他与微软亚洲研究院合作提出的基于块结构的链接分析算法被誉为下一代互联网搜索引擎的核心算法，被国际上数十家IT专业媒体报道。在雅虎研究院曾领导关于查询语句分类、海量网页分类、广告关键字建议等项目的研究开发工作。目前主要从事机器学习、信息检索、计算视视觉的研究。 详细主页可以见 http //www.cad.zju.edu.cn/home/xiaofeihe/

人工智能 机器学习

Locality Preserving Projections (LPP) and Manifold Learning Information Retrieval Web Search and Mining Face Representation and Recognition

Area Chair: NIPS 2018

Gaussian Mixture Model with Local Consistency Jialu Liu, Deng Cai, and Xiaofei He. The 24th AAAI Conference on Artificial Intelligence (AAAI), Atlanta, Georgia, USA, July 2010. Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval Xiaofei He. IEEE Transactions on Image Processing, 19(1):254-263, 2010. Convex Experimental Design using Manifold Structure for Image Retrieval Lijun Zhang, Chun Chen, Jiajun Bu, Wei Chen, Deng Cai, and Xiaofei He. Proc. 2009 ACM International Conference on Multimedia, Beijing, China, October, 2009. Semi-supervised Topic Modeling for Image Annotation (4-page short paper) Yuanlong Shao, Yuan Zhou, Xiaofei He, Deng Cai, Hujun Bao Proc. 2009 ACM International Conference on Multimedia, Beijing, China, October, 2009. Active Subspace Learning Xiaofei He and Deng Cai Proc. 2009 IEEE International Conference on Computer Vision (ICCV), Kyoto, Japan, September 2009. Probabilistic Dyadic Data Analysis with Local and Global Consistency Deng Cai, Xuanhui Wang, and Xiaofei He. Proc. 2009 International Conference on Machine Learning (ICML), Montreal, Canada, June 2009. Locality Preserving Nonnegative Matrix Factorization Deng Cai, Xiaofei He, Xuanhui Wang, Hujun Bao, and Jiawei Han. Proc. 2009 International Joint Conference on Artificial Intelligence (IJCAI), Pasadena CA, July 2009. Graph Embedding with Constraints Xiaofei He, Ming Ji, and Hujun Bao. Proc. 2009 International Joint Conference on Artificial Intelligence (IJCAI), Pasadena CA, July 2009. A Unified Active and Semi-Supervised Learning Framework for Image Compression Xiaofei He, Ming Ji, and Hujun Bao. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Miami FL, June 2009. Advertising Keyword Generation using Active Learning (2-page short paper) Hao Wu, Guang Qiu, Xiaofei He, Yuan Shi, Mingcheng Qu, Jing Shen, Jiajun Bu, and Chun Chen. 18th International Conference on World Wide Web (WWW), Madrid, Spain, April 2009.、 Tag-oriented Document Summarization (2-page short paper) Junyan Zhu, Can Wang, Xiaofei He, Jiajun Bu, Chun Chen, Shujie Shang, Mingcheng Qu, and Gang Lu. 18th International Conference on World Wide Web (WWW), Madrid, Spain, April 2009. Probabilistic Question Recommendation for Question Answering Communities (2-page short paper) Mingcheng Qu, Guang Qiu, Xiaofei He, Cheng Zhang, Hao Wu, Jiajun Bu, and Chun Chen. 18th International Conference on World Wide Web (WWW), Madrid, Spain, April 2009. Regularized query classification using search click information Xiaofei He and Pradhuman Jhala. Pattern Recognition Journal, Vol. 41, No. 7, pp. 2289-2297, 2008. Learning a Maximum Margin Subspace for Image Retrieval Xiaofei He, Deng Cai, and Jiawei Han. IEEE Transactions on Knowledge and Data Engineering, Vol. 20, No. 2, Feb. 2008. SRDA: An Efficient Algorithm for Large Scale Discriminant Analysis Deng Cai, Xiaofei He, and Jiawei Han. IEEE Transactions on Knowledge and Data Engineering, Vol. 20, No. 1, pp. 1-12, Jan. 2008.