Hao Ma  

Ph.D Candidate (Nov.2006 - )
Department of Computer Science & Engineering,
The Chinese University of Hong Kong

Room 101, HSH Engineering Building

Biography

Mr. Hao Ma received his B.Eng. and M.Eng. degrees in School of Information Science and Engineering from Central South University, in 2002 and 2005 respectively. He worked as a System Engineer in Intel Shanghai before he joined CUHK as a Ph.D student in Nov.2006. He is currently under the supervision of Prof. Michael R. Lyu and Prof. Irwin King. In summer 2008, he was a research intern in the Text Mining, Search and Navigation group, Microsoft Research.

Research Interests

Work Experience

Recent Publications (see full publications)

• Hao Ma, Raman Chandrasekar, Chris Quirk, Abhishek Gupta. Improving Search Engines Using Human Computation Games. To appear in Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM'09), Hong Kong, China, November 2-6, 2009.
  (Acceptance Rate: 123/847 = 14.5%)

• Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu. Semi-Nonnegative Matrix Factorization with Global Statistical Consistency in Collaborative Filtering. To appear in Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM'09), Hong Kong, China, November 2-6, 2009.
  (Acceptance Rate: 123/847 = 14.5%)

• Hao Ma, Michael R. Lyu, Irwin King. Learning to Recommend with Trust and Distrust Relationships. To appear in Proceedings of the 3rd ACM Conference on Recommender Systems (RecSys'09), New York City, NY, USA, October 22-25, 2009.
  (Acceptance Rate: 24/140 = 17.1%)

• Hao Ma, Irwin King, Michael R. Lyu. Learning to Recommend with Social Trust Ensemble. In Proceedings of the 32nd Annual ACM SIGIR Conference on Research and Development in Information Retrieval  (SIGIR'09), Boston, MA, USA, July 19-23, 2009.
  (Acceptance Rate: 78/494 = 15.8%)
  [Preprint (PDF 456KB)]

• Hao Ma, Raman Chandrasekar, Chris Quirk, Abhishek Gupta. Page Hunt: Improving Search Engines Using Human Computation Games. In Proceedings of the 32nd Annual ACM SIGIR Conference on Research and Development in Information Retrieval  (SIGIR'09), Boston, MA, USA, July 19-23, 2009.
  (Acceptance Rate: (78 + 26)/494 = 21.1%)
  [Preprint (PDF 253KB)]

• Hao Ma, Haixuan Yang, Michael R. Lyu, Irwin King. SoRec: Social Recommendation Using Probabilistic Matrix Factorization. In Proceedings of the 17th ACM Conference on Information and Knowledge Management (CIKM'08), pages 931-940, Napa Valley, California USA, October 26-30, 2008.
  (Acceptance Rate: 131/772 = 17.0 %)
  [Paper (PDF 295KB)][Presentation (PPT 1.68MB)]

• Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu. Learning Latent Semantic Relations from Clickthrough Data for Query Suggestion. In Proceedings of the 17th ACM Conference on Information and Knowledge Management (CIKM'08), pages 709-718,  Napa Valley, California USA, October 26-30, 2008.
  (Acceptance Rate: 131/772 = 17.0 %)
  [Paper (PDF 271KB)][Presentation (PDF 2.37MB)]

• Hao Ma, Haixuan Yang, Michael R. Lyu, Irwin King. Mining Social Networks Using Heat Diffusion Processes for Marketing Candidates Selection. In Proceedings of the 17th ACM Conference on Information and Knowledge Management (CIKM'08), pages 233-242, Napa Valley, California USA, October 26-30, 2008.
  (Acceptance Rate: 131/772 = 17.0 %)
  [Paper (PDF 447KB)][Presentation (PPT 1.07MB)]

• Hao Ma, Irwin King, Michael R. Lyu. Effective Missing Data Prediction for Collaborative Filtering. Proceedings of the 30th Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'07), pages 39-46, Amsterdam, the Netherlands, July 23-27, 2007.
  (Acceptance Rate: 86/491 = 17.5 %)
  [Paper (PDF 222KB)] [Presentation (PDF 2.38MB)]

Professional Activities

• Program Committee, IEEE WCNC 2010

• Program Committee, SWSM 2009, CIKM 2009 Workshop on Social Web Search and Mining

• Program Committee, IEEE Globecom 2007 (Global Communication Conference) Ad-hoc and Sensor Networking Symposium

• Program Committee, IEEE ICC 2006 (International Conference on Communications) Wireless Ad Hoc and Sensor Networks Symposium