Publications
[For a more complete list of publications, please refer to my Google Scholar]
  [TSE'21] Post2Vec: Learning Distributed Representations of Stack Overflow Posts 
      Bowen Xu, Thong Hoang, Abhishek Sharma, Chengran Yang, Xin Xia, and David Lo. 
      IEEE Transactions on Software Engineering, 2021. (To Appear)
    
  [FSE'21] BugsInPy: a database of existing bugs in Python programs to enable controlled testing and debugging studies 
      Ratnadira Widyasari, Sheng Qin Sim, Camellia Lok, Haodi Qi, Jack Phan, Qijin Tay, Constance Tan, Fiona Wee, Jodie Ethelda Tan, Yuheng Yieh, Brian Goh, Ferdian Thung, Hong Jin Kang, Thong Hoang, David Lo, Eng Lieh Ouh 
      ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Short Paper, Athens, Greece, 2021. (To Appear)
    
  [ACM UMAP'20] Keen2Act: Activity Recommendation in Online Social Collaborative Platforms 
      Roy Ka-Wei Lee, Thong Hoang, Richard Jayadi Oentaryo, David Lo 
      International Conference on User Modeling, Adaptation and Personalization, Short Paper, Genoa, Italy, 2020. (To Appear)
    
  [ICSE'20] CC2Vec: Distributed Representations of Code Changes 
      Thong Hoang, Hong Jin Kang, Julia Lawall, David Lo 
      International Conference on Software Engineering, Seoul, South Korea, 2020. [Paper]
      
    
  [TSE'19] PatchNet: Hierarchical Deep Learning-Based Stable Patch Identification for the Linux Kernel 
      Thong Hoang, Julia Lawall, Richard J Oentaryo, Yuan Tian, David Lo 
      IEEE Transactions on Software Engineering, 2019. [Paper][Code]
    
  [MSR'19] DeepJIT: An End-To-End Deep Learning Framework for Just-In-Time Defect Prediction 
      Thong Hoang, Hoa Khanh Dam, Yasutaka Kamei, David Lo, Naoyasu Ubayashi 
      Mining Software Repositories Conference, Montreal, Canada, May 2019. [Paper][Code]
    
  [ICSE'19] PatchNet: A Tool for Deep Patch Classification 
      Thong Hoang, Julia Lawall, Richard J Oentaryo, Yuan Tian, David Lo 
      International Conference on Software Engineering, Demonstrations Track, Montreal, Canada, May 2019. [Paper][Code]
    
  [TSE'18] Network-clustered Multi-modal Bug Localization 
      Thong Hoang, Richard J Oentaryo, Tien-Duy Bui Le, David Lo 
      IEEE Transactions on Software Engineering, 2018. [Paper][Code]
    
  [IEEE BigData'16] Crowdsensing and Analyzing Micro-Event Tweets for Public Transportation Insights 
      Thong Hoang, Pei Hua Cher, Philips Prasetyo Kokoh, Ee-Peng Lim 
      International workshop on Big Data for Sustainable Development, collocated with IEEE BigData, Washington, USA, December 2016. [Paper]
    
  [TREC'12] Ugent Participation in the Microblog Track 2012 
      Thong Hoang, Thomas Demeester, Johannes Deleu, Piet Demeester, Chris Develder 
      Text Retrieval Conference, Gaithersburg, USA, October 2012. [Paper]
    
  [DIR'12] Effectiveness of Learning to Rank for finding User Similarity in Social Media 
      Thong Hoang, Thomas Demeester, Johannes Deleu, Chris Develder 
      Dutch-Belgian Information Retrieval Workshop, Ghent, Belgium, April 2012. [Paper]
    
  [ACMMM'10] Adaptive Combination of Tag and Link-based User Similarity in Flickr 
      Nhat Hai Phan, Thong Hoang, and Hyoseop Shin 
      ACM International Conference on Multimedia, Short paper, Firenze, Italy, October 2010. [Paper]
    
  [EDB'10] An Empirical Analysis of User Clusters in Online Communities 
      Thong Hoang, Nhat Hai Phan, and Hyoseop Shin 
      International Conference on Emerging Databases, Jeju, South Korea, August 2010.