Research Interests

I am interested in resesarch topics on Real-Time Large-scale Data:

• Graph, Link and Social Network Mining
• Stream Mining
• Text Mining
• Uncertain Data Mining

Publications

Conference Papers

• Wangqun Lin, Yuchen Zhao, Philip S. Yu, and Bo Deng. An Effective Approach on Overlapping Structures Discovery for Co-clustering, in 16th Asia-Pacific Web Conference, APWeb 2014 (APWeb '14) [Graph,Social]
  - best paper runner up award
• Guoqiong Liao, Yuchen Zhao, Sihong Xie, and Philip S. Yu. An Effective Latent Networks Fusion based Model for Event Recommendation in Offline Ephemeral Social Networks, in Proceedings of the 22st ACM International Conference on Information and Knowledge Management [short paper] (CIKM '13) [Graph, Social]
• Yuchen Zhao, Guan Wang, Philip S. Yu, Shaobo Liu, and Simon Zhang. Inferring Social Roles and Statuses in Social Networks, in Proceedings of the 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '13) [Graph, Social]
• Yuchen Zhao, Neel Sundaresan, Zeqian Shen, and Philip S. Yu. Anatomy of a Web-Scale Resale Market: A Data Mining Approach, in Proceedings of the 22nd international conference on World Wide Web, industrial track (WWW '13) [Graph, Social, Text]
• Yuchen Zhao, and Philip S. Yu. On Graph Stream Clustering with Side Information, in Proceedings of the 13rd SIAM International Conference on Data Mining (SDM '13) [Graph, Social, Stream]
• Guan Wang, Yuchen Zhao, Xiaoxiao Shi, and Philip S. Yu. Magnet Community Identification on Social Networks, in Proceedings of the 18st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '12) [Graph, Social]
• Charu C. Aggarwal, Yuchen Zhao, and Philip S. Yu. On Text Clustering with Side Information, in Proceedings of the 28th International Conference on Data Engineering (ICDE '12) [Text]
  - selected as a best ICDE'12 paper for publication in TKDE
• Yuchen Zhao, Xiangnan Kong, and Philip S. Yu. Positive and Unlabeled Learning for Graph Classification, in Proceedings of the 11th IEEE International Conference on Data Mining (ICDM '11) [Graph, Social]
• Charu C. Aggarwal, Yuchen Zhao, and Philip S. Yu. Outlier Detection in Graph Streams, in Proceedings of the 27th International Conference on Data Engineering (ICDE '11) [Graph, Social, Stream]
• Yuchen Zhao, Charu C. Aggarwal, and Philip S. Yu. On Wavelet Decomposition of Uncertain Time Series Data Sets, in Proceedings of the 19th ACM international conference on Information and knowledge management (CIKM '10) [Uncertain]
• Charu C. Aggarwal, Yuchen Zhao, and Philip S. Yu. On Clustering Graph Streams, in Proceedings of the 10th SIAM International Conference on Data Mining (SDM '10) [Graph, Social, Stream]
  - selected as a best SDM'10 paper for publication in SADM

Journal Papers

• Charu C. Aggarwal, Yuchen Zhao, and Philip S. Yu. On the use of Side Information for Mining Text Data, to appear in IEEE Transactions on Knowledge and Data Engineering (TKDE) [Text]
• Charu C. Aggarwal, Yuchen Zhao, and Philip S. Yu. A Framework for Clustering Massive Graph Streams, in Statistical Analysis and Data Mining, Volume 3, Issue 6, pages 399-416, December 2010 [Graph, Social, Stream]

Patent Applications

• TECHNIQUES FOR INFERRING AN ORGANIZATIONAL HIERARCHY FROM A SOCIAL GRAPH, with Guan Wang, et al., United States 61/729,997, Filed November 26, 2012 by Linkedin Corp.
• SYSTEMS AND METHODS FOR RESELLER DISCOVERY AND ANALYSIS, with Neel Sundaresan and Zeqian Shen, United States 61/596,655, Filed February 8, 2012 by eBay Inc.

Hacking for Fun

1. Judge for the 3rd Intern Open Hackday Competition, 2013.

• Serve as one of the judges with Kevin Scott, Julia Grace and Rahul Vohra.

2. ClipIt: Organize Everything on the Web

Won 1st prize in the 2nd Intern Open Hackday Compeition, 2012. It's officially online at ScissorsFly.

3. LinkedOut: Next Generation Social Recruiting

Won 2nd prize in the 1st Intern Open Hackday Compeition, 2011. Click Here for details.

• The prototype has been added to the Linkedin Product Team's roadmap!
• A related (but not much) paper by us has been published in KDD'12: Magnet Community Identification on Social Networks. A very interesting paper to rank comapnies based on talent flows.