Ding Li is an Assistant Professor of the School of Computer Science, Peking University. His research interests are program analysis and system provenance analysis. Particularly, he is interested in applying machine learning techniques to make program analysis and system provenance analysis more efficient, accurate, and scalable. He is now focusing on applying system provenance analysis to counter cybersecurity issues, such as APT attacks. Ding has published more than 30 papers, and received more than 1500 citations, according to Google Scholar.
Work Experience
2016 – 2020: Researcher, NEC Labs, America
2020 - Present: Assistant Professor, Peking University
Education:
2011 - 2016: Ph.D, University of Southern California
2007 - 2011: B.S. Peking University
Awards:
2018 NEC Excellent Invention Award
2017 NEC Business Award
2014 Viterbi Undergraduate Research Mentoring Award
Selected Publications:
You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis.
Qi Wang, Wajih Ul Hassan, Ding Li*, Kangkook Jee*, Xiao Yu, Kexuan Zou, Junghwan Rhee, Zhengzhang Chen, Wei Cheng, Carl A. Gunter, Haifeng Chen
NDSS 2020，*Corresponding Authors
NoDoze: Combatting Threat Alert Fatigue with Automated Provenance Triage
Wajih Ul Hassan, Shengjian Guo, Ding Li*, Zhichun Li, Zhengzhang Chen, Kangkook Jee, Zhichun Li, and Adam Bates
NDSS 2019. *Corresponding Authors
NodeMerge: Template Based Efficient Data Reduction For Big-Data Causality Analysis
Yutao Tang, Ding Li*, Zhichun Li, Mu Zhang*, Kangkook Jee, Xusheng Xiao, Zhenyu Wu, Junghwan Rhee, Fengyuan Xu, and Qun Li
CCS 2018. *Corresponding Authors
String Analysis for Java and Android Applications
Ding Li, Yingjun Lyu, Mian Wan, William G. J. Halfond
FSE 2015
Making Web Applications More Energy Efficient for OLED Smartphones
Ding Li, Angelica Huyen Tran, William G.J. Halfond
ICSE 2014
