• I am a Research Scientist working in the Advertiser Problems and ML Applications team at Facebook. I received my Ph.D. degree (Thesis title: Data-Driven Analysis and Characterization of Modern Android Malware) in the Department of Computer Science at Dartmouth College, where I work at Dartmouth College Security and Artificial Intelligence Laboratory, advised by Prof. V.S. Subrahmanian. [My Curriculum Vitae]
• I received my Bachelor’s Degree from the Department of Electronic Engineering in Tsinghua University. My undergraduate research advisor is Prof. Linglong Dai.

• In 2016, my dissertation entitled “Hardware Design and Implementation of a Discrete Multi-channel Optically Controlled Oscillator System” won Tsinghua University’s Distinguished Dissertation Award.

• My research lies at the intersection of cybersecurity and artificial intelligence (AI). Specifically, I create innovative and robust tech- nologies to help people combat cybercrime using machine learning. Examples include developing general-purpose tools for An- droid malware detection and analysis. Moreover, our research results on Android malware are recognized by Google Android Security Team and our research group was invited twice for a talk at Google HQ, Mountain View. I also use game theory to build strategies to predict whether severe zero-day vulnerabilities will be exploited or disclosed by nations, and how long to exploit the vulnerability if they decide to exploit. Most recently, I lead an e ort to develop a general framework for adversarial malware ge- neration using deep learning, a unified and validated set of guidelines for designing Android malware which can evade anti-virus engines. The generated samples can be used to enhance AI-based malware detection systems.

Recent News

• Apr 20, 2021. Passed my Ph.D. Thesis Defense at Department of Computer Science, Dartmouth College.

• July 8, 2019. One paper Generating Fake Documents using Probabilistic Logic Graphs. paper submitted to IEEE Transactions on Dependable and Secure Computing (TDSC).

• July 5, 2019. One paper Android Rooting Malware Detection via (Somewhat) Robust Irreversible Feature Transformations. paper submitted to IEEE Transactions on Information Forensics and Security (TIFS).

• June 22, 2019. Received Dartmouth College Graduate Student Council Student Professional Development Support Fund.

• June 5, 2019. Selected as one of 2019 winners of the Neukom Prize for Outstanding Graduate Research in Computational Science.

• May 29, 2019. Selected as one of 2019 recipients of the Dartmouth College Graduate Alumni Research Award.

• May 14, 2019. Passed my Research Presentation Examination (Qualification Examination) at Department of Computer Science, Dartmouth College. slides

• April 14, 2019. One paper Disclose or Exploit? A Game Theoretic Approach to Strategic Decision Making in Cyber Warfare. paper submitted to IEEE Systems Journal.

• April 10, 2019. One paperDBank: Predictive Behavioral Analysis of Recent Android Banking Trojans. paper accepted to IEEE Transactions on Dependable and Secure Computing (TDSC).

• October 25, 2018. Invited to give short talk on Clustering & Classification Methods for Predicting Malicious Android Apps on ASPIRE: Android Security and PrIvacy REsearch, Google HQ, Mountain View, CA.

• July 18, 2018. Invited to give a talk on Behavioral Analysis and Automated Detection of Android Banking Trojans at Android Security Team, Google HQ, Mountain View, CA.