Hi, Welcome! I am an assistant professor at Illinois Institute of Technology. I had my postdoctoral training at Cornell University and University of Utah, working with Prof. Elaine Shi & Prof. Mu Zhang. Before that, I obtained my PhD in Computer Science from UC Riverside in 2019, advised by Prof. Heng Yin. My research interests mainly lie in different aspects of Computer Security, including mobile security, IoT security, software testing, blockchain security and AI security. I enjoy solving emerging security problems by leveraging program analysis techniques and deep learning.
I am looking for motivated students to join my research group. Please feel free to contact me if you are interested in working together on exciting projects in Computer Security.
More details can be found here.
[Dec 2020] Our paper "Probabilistic Path Prioritization for Hybrid Fuzzing" is accepted by IEEE Transactions on Dependable and Secure Computing (TDSC).
[Nov 2020] Serving on the PC of BlockDM 2021, co-located with ICDE 2021. Please consider submitting your work.
[Jun 2020] Serving on the PC of ACM AsiaCCS 2021. Please consider submitting your work.
[May 2020] Will be joining Illinois Institute of Technology this fall as a tenure-track Assistant Professor. See u in Chicago!
[Mar 2020] Serving on the PC of MLBA 2020, co-located with IJCAI-PRICAI 2020. Please consider submitting your work.
[Mar 2020] Serving on the PC of BlockApp 2020, co-located with ICDCS 2020. Please consider submitting your work.
[Feb 2020] Our paper "DeepBinDiff: Learning Program-Wide Code Representations for Binary Diffing" is accepted in NDSS'20.
[Nov 2019] Delivered a guest lecture at Syracuse University, talking about blockchain security.
[Nov 2019] Serving on the PC of BlockDM 2020, co-located with ICDE 2020. Please consider submitting your work.
[Sep 2019] Our paper "Be Sensitive and Collaborative: Analyzing Impact of Coverage Metrics in Greybox Fuzzing" has won the best paper award (1 out of 166 submissions) in RAID'19.