About Me

I am Lichao Sun (Chinese: 孙力超), a forth-year PhD student at University of Illinois at Chicago. Prior to that, I got my M.S. and B.S. degree from University of Nebraska Linoln. I am currently in BDSC lab and advised by Prof. Philip S. Yu. I am also closely work with Prof. Wei Chen, and have good connections with Prof. Jason, Witty, Qiben. My research interests include AI security, mobile security and privacy, etc. Here is my Google Scholar.

Contact Details




University of Illinois at Chicago

PhD in Computer Science Aug 2016 - Present


University of Nebraska - Lincoln

M.S/B.S. in Computer Science/Mathematics Aug 2010 - Aug 2016



Security Research Intern

Samsung Research Mar 2020 - May 2020


Deep Learning Research Intern

Salesforce Research Jan 2019 - Aug 2019


Data Mining Intern

Linkedin May 2018 - Aug 2018


Research Intern

Microsoft Research Asia May 2017 - Aug 2017



PC Member 2020

IEEE Transactions on Industrial Informatics

Reviewer 2018

IEEE Transactions on Mobile Computing

Reviewer 2018, 2019


Reviewer 2018, 2019


Target Privacy Preserving for Social Networks

Zhongyuan Jiang, Lichao Sun, Philip S. Yu, Hui Li, Jianfeng Ma, Yulong Shen
IEEE International Conference on Data Engineering (ICDE), Dallas, Texas, Apr. 20 - 24 2020

KOLLECTOR: Detecting Fraudulent Activities on Mobile Devices Using Deep Learning

Lichao Sun, Bokai Cao, Ji Wang, Witawas Srisa-an, Philip S. Yu, Alex Leow, and Stephen Checkoway
IEEE Transaction on Mobile Computing 2020 (TMC)

Influence Maximization with Spontaneous User Adoption

Lichao Sun, Albert Chen, Philip S. Yu and Wei Chen
ACM Web Search and Data Mining (WSDM), Houston, Texas, USA Feb. 3 - 7, 2020

Meta-path Reduction with Transition Probability Preserving in Heterogeneous Information Network

Xiaokai Wei, Zhiwei Liu, Lichao Sun, and Philip S. Yu
IEEE International Conference on Big Data (BigData), Los Angeles, CA, USA, Dec. 9 - 12, 2019

Private Model Compression via Knowledge Distillation

Ji Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, and Philip S. Yu
Association for the Advancement of Artificial Intelligence (AAAI), Hawaii, USA, Jan. 27- Feb. 1, 2019

Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks

Lichao Sun, Lifang He*, Zhipeng Huang, Bokai Cao, Congying Xia, Xiaokai Wei and Philip S. Yu
IEEE International Conference on Big Knowledge (ICBK), Singapore, SGP, Nov. 17-18, 2018 (* corresponding author)

Multi-Round Influence Maximization (Oral)

Lichao Sun, Weiran Huang, Philip S. Yu, and Wei Chen*
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), London, UK, August 19-23, 2018 (* corresponding author)

Deep Learning Towards Mobile Applications

Ji Wang, Bokai Cao, Philip S. Yu, Lichao Sun, Weidong Bao and Xiaomin Zhu
IEEE International Conference on Distributed Computing Systems (ICDCS), Vienna, Austria, July 2–5, 2018

Significant Permission Identification for Machine Learning Based Android Malware Detection

Jin Li*, Lichao Sun*, Qiben Yan, Zhiqiang Li, Witawas Srisa-an and Heng Ye
IEEE Transactions on Industrial Informatics 2018 (TII) (* equal contribution)

Contaminant Removal for Android Malware Detection Systems (Full)

Lichao Sun, Xiaokai Wei, Jiawei Zhang, Lifang He, Philip S. Yu and Witawas Srisa-an
IEEE International Conference on Big Data (BigData), Boston, MA, USA, Dec. 2017

Coupled Sparse Matrix Factorization for Response Time Prediction in Logistics Services

Yuqi Wang, Jiannong Cao, Lifang He, Li Wengen, Lichao Sun and Philip S. Yu
International Conference on Information and Knowledge Management (CIKM), Singapore, Nov. 2017

Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning

Lichao Sun, Yuqi Wang, Bokai Cao, Philip S. Yu, Witawas Srisa-an and Alex D Leow
The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Skopje, Macedonia, Sep. 2017

SigPID: Significant Permission Identification for Android Malware Detection

Lichao Sun, Zhiqiang Li, Qiben Yan, Witawas Srisa-an and Yu Pan
TInternational Conference on Malicious and Unwanted Software (MALWARE), Skopje, Macedonia, Sep. 2016

DroidClassifier: Efficient Adaptive Mining of Application-Layer Header for Classifying Android Malware

Zhiqiang Li, Lichao Sun, Qiben Yan, Witawas Srisa-an and Zhenxiang Chen
International Conference on Security and Privacy in Communication Networks (SecureComm), Guangzhou, China, Oct. 2016