霍轩 Xuan Huo Ph.D. candidate LAMDA Group Department of Computer Science & Technology Nanjing University, Nanjing 210023, China. Email: huox@lamda.nju.edu.cn       (alternative: huox.lamda@gmail.com)

Short Bio

I received my B.Sc. degree from Nanjing University, China in June 2013.
Since Sept 2013, I become a Ph.D. candidate in the LAMDA Group led by professor Zhi-Hua Zhou, under the supervision of Prof. Ming Li.

Main Research Interests

Data Minig & Software Mining

Publications

• X. Huo, F. Thung, M. Li, D. Lo and S.-T. Shi. Deep Transfer Bug Localization. IEEE Transactions on Software Engineering (TSE), 2019, in press.

• S.-T. Shi, M. Li, D. Lo, F. Thung and X. Huo. Automatic Code Review by Learning the Revision of Source Code. In: Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI'19), Honolulu, Hawaii, USA, 2019, 4910-4917.

• H.-Y. Li, S.-T. Shi, F. Thung, X. Huo, M. Li and D. Lo. DeepReview: Automatic Code Review using Deep Multi-Instance Learning. In: Proceedings of the 23rd Pacific Asia Knowledge Discovery and Data Mining (PAKDD'19), Macau, China, 2019.

• X. Huo and M. Li. On Cost-effective Defect Prediction Classification or Ranking? Neurocomputing, 2019, in press.

• M. Li and X. Huo. Software Defect Mining.(in chinese with english abstract). Science China, 2019, in press.

• X. Huo, Y. Yang, M. Li and D.-C. Zhan. Learning Semantic Feature for Software Defect Prediction by Code Comments Embedding. In: Proceedings of International Conference on Data Mining (ICDM'18), Singapore, 2018, 1049-1054.

• Y. Wang, Y. Yao, H. Tong, X. Huo, M. Li, F. Xu, and J. Lu. Bug Localization via Supervised Topic Modeling. In: Proceedings of International Conference on Data Mining (ICDM'18), Singapore, 2018, 607-616.

• X. Huo, M. Li. Enhancing the Unified Features to Locate Buggy Files by Exploiting the Sequential Nature of Source Code. In: Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI'17), Melbourne, Australia, 2017, 1909-1915.

• X. Huo, M. Li and Z.-H. Zhou. Learning Unified Features from Natural and Programming Languages for Locating Buggy Source Code. In: Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI'16), New York, NY, USA, 2016, 1606-1612.

• M. Li and X. Huo. Mining Software Defect based on Semi-supervised Learning.(in chinese with english abstract). Journal of Data Acquisition and Processing, 2016, 31(1): 56-64.

Teaching Assistant

• Introduction to Java Programming. (For Undergraduate Students, Autumn, 13)

• Artificial Intelligence. (For Undergraduate Students, Spring, 14)

• Data Structure. (For Undergraduate Students, Autumn, 14)

Awards

• Awardee supported by the Program A for Outstanding Ph.D. Candidates of Nanjing University, 2018

• 中国电科十四所国睿奖学金, 2017

• National Scholarship for Ph.D. Candidates, 2016

Correspondence

Email: huox@lamda.nju.edu.cn or huox.lamda@gmail.com
Office: Room 912, Computer Science Building, Xianlin Campus of Nanjing University
Address:Xuan Huo
                 National Key Laboratory for Novel Software Technology
                 Nanjing University, Xianlin Campus Mailbox 603
                 163 Xianlin Avenue, Qixia District, Nanjing 210023, China