I enjoy doing research in software engineering and programming languages, in particular, concurrency and concurrent programming, program analysis, program verification, testing, debugging, and everything looks interesting related to software correctness, performance, reliability, and security.
- University of Illinois at Urbana Champaign - (Urbana, Illinois, United States), Postdoctoral Training 2014
- Ph.D. in Computer Science, Hong Kong University of Science and Technology - (Hong Kong, Hong Kong, China) 2012
- B.E. in Electrical Engineering, National University of Defense Technology - (Changsha, China) 2008
- Li, Y., Liu, B., & Huang, J. (2019). SWORD: A scalable whole program race detector for Java. 75-78.
- Huang, S., Guo, J., Li, S., Li, X., Qi, Y., Chow, K., & Huang, J. (2019). SafeCheck: Safety Enhancement of Java Unsafe API. 2016 IEEE/ACM 38TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE). 2019-May, 889-899.
- Song, W., Zhang, J., & Huang, J. (2019). ServDroid: Detecting Service Usage Inefficiencies in Android Applications. 362-373.
- Yi, Q., & Huang, J. (2018). Concurrency Verification with Maximal Path Causality. 366-376.
- Liu, B., & Huang, J. (2018). D4: Fast Concurrency Debugging with Parallel Differential Analysis. Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP. 53(4), 359-373.
- I-Corps: Smart Programming Tools for Improving Software Debugging awarded by National Science Foundation 2020 - 2020
- SaTC: CORE: Small: New Defenses for Data-Only Attacks awarded by National Science Foundation 2019 - 2022
- CAREER: Scalable and Maximal Concurrency Debugging awarded by National Science Foundation 2016 - 2021
- Singh, Pawan Kumar (2016-08). Programming Web Applications Declaratively A Qualitative Study. (Master's Thesis)
- Rajagopalan, Arun Krishnakumar (2016-05). Fast and Precise On-The-Fly Data Race Detection. (Master's Thesis)