Post-doctoral Researchers

Song Yangqiu
Yangqiu Song received his B.Eng. degree in July, 2003 and his Ph.D. degree in January, 2009, from the Department of Automation, Tsinghua University, China. He is currently a post-doctoral researcher at the Hong Kong University of Science and Technology. Before that, he was an associate researcher at Microsoft Research Asia and staff researcher at IBM Research - China. His research interests include machine learning algorithms with applications to text mining, knowledge engineering, social media analysis and information visual analytics. Recent Publications:
  1. Yangqiu Song, Shimei Pan, Shixia Liu, Furu Wei, Michelle X. Zhou and Weihong Qian. Constrained Co-clustering with Unsupervised Constraints for Text Analysis. Accepted by IEEE Trans. on Knowledge and Data Engineering. 2012
  2. Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih-Jen Lin and Edward Chang. Parallel Spectral Clustering in Distributed Systems. IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 33, No. 3, pp. 568{586, 2011.
  3. Wen Hua, Yangqiu Song, Haixun Wang and Xiaofang Zhou. Identifying Users' Topical Tasks in Web Search, ACM Conference on Web Search and Data Mining (WSDM). 2013.
  4. Xueqing Liu, Yangqiu Song, Shixia Liu and Haixun Wang. Automatic Taxonomy Construction from Keywords, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). 2012.
  5. Yangqiu Song, Haixun Wang, Zhongyuan Wang, Hongsong Li and Weizhu Chen. Short Text Conceptualization using a Probabilistic Knowledgebase. IJCAI. 2330-2336, 2011.
Yi Zhen
Dr. Yi Zhen is a postdoctoral researcher with Noah’s Ark Lab, Hong Kong. He obtained his Ph.D. degree in Computer Science and Engineering from Hong Kong University of Science and Technology in 2012. Before that, he received his M. Eng. and B. Eng. in Software Engineering from Tsinghua University and Nankai University, respectively. His research interests include machine learning, data mining and pattern recognition. Recent publications:
  1. Yi Zhen and Dit-Yan Yeung. Active hashing and its application to image and text retrieval. Data Mining and Knowledge Discovery, 26(2):255-274, March 2013.
  2. Yi Zhen and Dit-Yan Yeung. Co-regularized hashing for multimodal data. Advances in Neural Information Processing Systems 25, P. Bartlett, F.C.N. Pereira, C.J.C. Burges, L. Bottou & K.Q. Weinberger (eds.), pp.1385-1393, 2012. (Twenty-Sixth Annual Conference on Neural Information Processing Systems (NIPS), Lake Tahoe, California/Nevada, USA, 3-8 December 2012.)
  3. Yi Zhen and Dit-Yan Yeung. A probabilistic model for multimodal hash function learning. Proceedings of the Eighteenth ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pp.940-948, Beijing, China, 12-16 August 2012.