Junming Xu (Sui) My last name has multiple pronunciations in Chinese. It is spelt as SUI on my offical documents. Ph.D Department of Computer Sciences University of Wisconsin-Madison 1210 West Dayton Street Madison, WI 53706-1685, USA Email: xujm AT cs DOT wisc DOT edu Office: CS 6397 Phone: 608-262-0765

Biography:

I obtained my PhD in Computer Sciences, from University of Wisconsin-Madison in June 2015, under the supervision of Professor Jerry Zhu.

I received my Master's and Bacheler's degree from the Department of Computer Science & Technology, Nanjing University. I was a member of LAMDA Group under the supervision of Professor Zhi-Hua Zhou.

My CV in pdf.

Research Interests:

My research focus on Machine learning and its applications. Currently, I am working on some social media mining projects.

Publications:

• Understanding and Fighting Bullying with Machine Learning [pdf]
  Jun-Ming Xu
  PhD Thesis, University of Wisconsin-Madison, 2015.
  

• The five W's of bullying on Twitter: Who, what, why, where, when [journal link]
  Amy Bellmore, Angela J. Calvin, Jun-Ming Xu, and Xiaojin Zhu
  In Computers in Human Behavior, 44: 305-314, March 2015.
  

• #bully: Uses of Hashtags in Posts about Bullying on Twitter [journal link]
  Angela J. Calvin, Amy Bellmore, Jun-Ming Xu, and Xiaojin Zhu
  In Journal of School Violence, 14(1): 133-153, 2015.
  

• School Bullying in Twitter and Weibo: a Comparative Study [pdf | poster]
  Jun-Ming Xu, Hsun-Chih Huang, Amy Bellmore, and Xiaojin Zhu
  In Proceedings of the 8th International AAAI Conference on Weblogs and Social Media (ICWSM), Ann Arbor, MI, 2014, pp.631-634.

• Socioscope: Spatio-temporal signal recovery from social media (extended abstract) [pdf | code]
  Jun-Ming Xu, Aniruddha Bhargava, Robert Nowak, and Xiaojin Zhu
  In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), Beijing, China, 2013, pp.3096-3100. (Invited abstract of our ECML-PKDD 2012 paper)

• An examination of regret in bullying tweets [pdf | slides]
  Jun-Ming Xu, Benjamin Burchfiel, Xiaojin Zhu, and Amy Bellmore
  In Proceedings of the 2013 Conference of North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT), Atlanta, GA, 2013, pp.697-702. short paper

• Socioscope: Spatio-temporal signal recovery from social media [pdf | slides | poster | code]
  Jun-Ming Xu, Aniruddha Bhargava, Robert Nowak, and Xiaojin Zhu
  In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) , Bristol, UK, 2012, pp.644-659. Best paper in knowledge discovery

• Fast learning for sentiment analysis on bullying [pdf]
  Jun-Ming Xu, Xiaojin Zhu, and Amy Bellmore
  In ACM KDD Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM), Beijing, China, 2012.

• Learning from bullying traces in social media [pdf | data and code | slides]
  Jun-Ming Xu, Kwang-Sung Jun, Xiaojin Zhu, and Amy Bellmore
  In Proceedings of the 2012 Conference of North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT), Montreal, Canada, 2012, pp.656-666.

• Metric learning for estimating psychological similarities [journal link | unofficial version | data | code]
  Jun-Ming Xu, Xiaojin Zhu, and Timothy T. Rogers
  ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2011, 3(3): 55:1-55:22.

• Machine learning for zoonotic emerging disease detection [pdf]
  Xiaojin Zhu, Jun-Ming Xu, Christine M. Marsh, Megan K. Hines, and F. Joshua Dein
  In ICML 2011 Workshop on Machine Learning for Global Challenges, Bellevue, WA, 2011.

• OASIS: Online active semisupervised learning [pdf]
  Andrew Goldberg, Xiaojin Zhu, Alex Furger, and Jun-Ming Xu
  In Proceedings of the 25th AAAI Conference on Artificial Intelligence (AAAI-11), San Francisco, CA, 2011, pp.362-367.

• Word learning through sensorimotor child-parent interaction: A feature selection approach [pdf]
  Chen Yu, Jun-Ming Xu, and Xiaojin Zhu
  In Proceedings of the 33rd Annual Conference of the Cognitive Science Society (CogSci 2011), Boston, MA, 2011, pp.1601-1606.

• Transduction with matrix completion: Three birds with one stone [pdf]
  Andrew Goldberg, Xiaojin Zhu, Benjamin Recht, Jun-Ming Xu, and Robert Nowak
  In: Advances in Neural Information Processing Systems (NIPS) 23, 2010, pp 757-765.

• Training SpamAssassin with active semi-supervised learning [pdf]
  Jun-Ming Xu, Giorgio Fumera, Fabio Roli, and Zhi-Hua Zhou
  In: Proceedings of the 6th Conference on Email and Anti-Spam (CEAS'09), Mountain View, CA, 2009.

• On the relation between multi-instance learning and semi-supervised learning [pdf]
  Zhi-Hua Zhou and Jun-Ming Xu
  In: Proceedings of the 24th International Conference on Machine Learning (ICML'07), Corvallis, OR, 2007, pp.1167-1174.

• Bayesian classifier based on frequent item sets mining [journal link]
  Jun-Ming Xu, Yuan Jiang, and Zhi-Hua Zhou
  Journal of Computer Research and Development, 2007, 44(8): 1293-1300. (in Chinese, Best student paper of 2nd Chinese Conference on Classification Technology and Applications)