Curriculum Vitae
Education:
Selected Publications:
Conference Papers:
Yin Song, Longbing Cao: " Graph-based coupled behavior analysis: A case study on detecting collaborative manipulations in stock markets". IJCNN 2012: 1-8
Yin Song, Longbing Cao, Xindong Wu, Gang Wei, Wu Ye, Wei Ding: "Coupled behavior analysis for capturing coupling relationships in group-based market manipulations". KDD 2012: 976-984
Yin Song, Longbing Cao, Junfu Yin and Cheng Wang: "Extracting Discriminative Features for Identifying Abnormal Sequences in One-class Mode". IJCNN 2013: 1-8.
Yin Song, Jian Zhang, Longbing Cao, and Morgan Sangeux. "On Discovering the Correlated Relationship between Static and Dynamic Data in Clinical Gait Analysis". ECML/PKDD. 2013. Accepted.
Journal Papers:
Yin Song and Weiqian Liang, "Application of Discriminative HMM in automatic pronunciation assessment of English", 50(4): 503 - 506, Journal of Tsinghua University (Science and Technology), 2010.
Yin Song and Weiqian Liang, "Experimental study on discriminative adaptive training and MLLR in automatic pronunciation evaluation", 16(2): 189 - 193, Tsinghua Science and Technology, 2011.
Technical Reports:
Yin Song, Longbing Cao, Xuhui Fan, Wei Cao and Jian Zhang. "Characterizing A Database of Sequential Behaviors with Latent Dirichlet Hidden Markov Models". CIKM. 2013. Submitted.
Professional Experience:
Sep 2010 - present:
Oct 2012 - Feb 2013:
Research Assistant
The Advanced Analytics Institute, University of Technology, Sydney, NSW, Australia
- Responsibility: developing new algorithms on probabilistic graphical models
and applying them (with combination of other methods) to several data mining
tasks, such as anomaly detection, clustering and behavior modeling, in the con-
text of many application domains: such as stock market surveillance, computer
vision, speaker recognition and web-browsing behavior modeling.
Data Analyst
The Hugh Williamson Gait Analysis Laboratory, The Royal Children’s Hospital, Melbourne, VIC, Australia.
- Collected of the gait (dynamic) data and the corresponding physical examination
(static) data from the clinical records.
- Designed and executed a pilot study of jointly modeling the correlated relation-
ships between the dynamic and static data, which may be helpful to further
clinical diagnosis.
Awards:
Institute of Electrical and Electronics Engineers (IEEE)
- Recipient of the CIS student travel grants for the IEEE International Joint Conference on Neural Networks (IJCNN) 2013 conference.
Association for Computing Machinery (ACM)
- Recipient of the 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2012) Student Travel Award.
Tsinghua University, Beijing, China
- Institute of Microelectronics Scholarship, Tsinghua University.
Beijing Normal University, Beijing, China
- Graduation Thesis (project) was rated as Excellent (90/100) by the academic committee.
.- Third Prize, Beijing Normal University Scholarship.
.- Elected as one of the ten best heads of students communities, Beijing Normal University.
Services:
- Reviewer, The IEEE 13th International Conference on Data Mining (ICDM 2013)
- Reviewer, The 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2013)
- Volunteer, The IEEE 10th International Conference on Data Mining (ICDM 2010), Sydney, NSW, Australia, Dec. 13-17, 2010.
- Volunteer, The 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2012), Beijing, China, August 12-16, 2012.
- Volunteer, The 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2013), Gold Coast, QLD, Australia, April 14-17, 2013
Hardware and Software skills: