Ting Liu

Ph. D, Professor 

Contact

Email:  tingliu AT mail.xjtu.edu.cn

Box 1088, Xi'an Jiaotong University, Xian Nin Xi Lu 28, Xi'an, Shaanxi, China  10086

CV

EDUCATION
Ph.D. in System Engineering, 2010
Xi'an Jiaotong University, China
Dissertation: IPv6 Network Worm Propagation Model, Analysis and Detection
Advisor: Prof. Xiaohong Guan, Co-advisor: Prof. Qinghua Zheng
B.S. in Information Engineering, 2003
Xi'an Jiaotong University, China

WORKING EXPERIENCE
Professor  Since 2018
School of Cyber Science and Engineering, Xi'an Jiaotong University
Visiting Professor  2016 - 2017
School of Electrical and Computer Engineering, Cornell University
Associate Professor 2014 - 2018
Institute of System Engineering, Xi'an Jiaotong University
Lecturer 2010 - 2014
Institute of System Engineering, Xi'an Jiaotong University

RESERCH INTERESTS
My research is security and reliability in computer network, cyber-physical system and software system. My research focus includes:

  • Vulnerability and intrusion detection in Smart Grids
  • Integrated control of building systems for energy saving, security, and comfort
  • Software behavior model and abnormal detection
  • Software testing and verification

SELECTED PAPERS

  1. 范铭, 刘烃, 刘均, 罗夏朴, 于乐, 管晓宏. 安卓恶意软件检测方法综述. 中国科学: 信息科学. 2020
  2. Y. Liu, T. Liu, H. Sun, K. Zhang, P. Liu. Hidden Electricity Theft by Exploiting Multiple-Pricing Scheme in Smart Grids. IEEE Transactions on Information Forensics & Security. 2020
  3. J. Tian, R. Tan, X. Guan, Z. Xu, T. Liu. Moving Target Defense against Stuxnet-like Attacks. IEEE Transactions on Smart Grids. 11(1), 291-300, 2020
  4. C. Wen, H. Wang, Y. Li, S. Qin, Y. Liu, Z. Xu, H. Chen, X. Xie, G. Pu, T. Liu. MemLock: Memory Usage Guided Fuzzing. IEEE  ICSE 2020 . Seoul, South Korea, 2020. 
  5. S. Li, J. Guo, M. Fan, J. Lou, Q. Zheng, T. Liu. Automated Bug Reproduction from User Reviews for Android Applications. IEEE ICSE-SEIP 2020. Seoul, South Korea, 2020.
  6. Y. Xu, Z. Xu, B. Chen, F. Song, Y. Liu, T. Liu. Patch Based Vulnerability Matching for Binary Programs. ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), Los Angeles, US, 2020.
  7. Y. Lin, J. Sun, G. Fraser, Z. Xiu, T. Liu, J. Dong. Recovering Fitness Gradients for Interprocedural Boolean Flags in Search-Based Testing. ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), Los Angeles, US, 2020. 
  8. M. Fan, X. Luo, J. Liu, C. Nong, Q. Zheng, T. Liu. CTDroid: Leveraging a Corpus of Technical Blogs for Android Malware Analysis. IEEE Transactions on Reliability. 69(1): 124-138, 2020.
  9. 刘烃, 田决, 王稼舟, 吴宏宇, 孙利民, 周亚东, 沈超, 管晓宏. 信息物理融合系统综合安全威胁与防御研究. 自动化学报, 45(1), 5-24, 2019
  10. J. Tian, R. Tan, X. Guan, T. Liu. Enhanced Hidden Moving Target Defense in Smart Grids. IEEE Transactions on Smart Grids.10(2), 2208~2223, 2019. 
  11. C. Zhao, Z. Li, T. Liu, H. Ding, J. Han, W. Xi, R. Gui. RF-Mehndi: A Fingertip Profiled RF Identifier. IEEE INFOCOM. Paris, France, 2019. (Best Paper Award)
  12. Q. Feng, Y. Cai, R. Kazman, D. Cui, T. Liu. H. Fang. Active Hotspot: An Issue-Oriented Model to Monitor Software Evolution and Degradation. IEEE/ACM ASE, San Diego, US, 2019.
  13. H. Wang, X. Xie, S. Lin, Y. Lin, Y. Li, S. Qin, Y. Liu, T. Liu. Locating Vulnerabilities in Binaries via Memory Layout Recovering. ACM ESEC/FSE, Estonia, 2019. 
  14. J. Guo, Z. Zhan, Y. Gao, Y. Xiao, J. Lou, T. Liu, D. Zhang. Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation. ACL, Florence, Italy, 2019
  15. J. Guo, S. Li, J. Lou, Z. Yang, T. Liu. SARA: Self-replay Augmented Record and Replay for Android in Industrial Cases. ACM ISSTA. Beijing, China, 2019
  16. D. Cui, T. Liu, Y. Cai, Q. Zheng, Q. Feng, W. Jin, J. Guo and Y. Qu. Investigating the Impact of Multiple Dependency Structures on Software Defects. IEEE ICSE. Montréal, QC, Canada, 2019
  17. M. Fan, X. Luo, J. Liu, M. Wang, C. Nong, Q. Zheng, T. Liu. Graph Embedding based Familial Analysis of Android Malware using Unsupervised Learning. IEEE ICSE. Montréal, QC, Canada, 2019
  18. H. Wang, Y. Lin, Z. Yang, J. Sun, Y. Liu, J. Dong, Q. Zheng,T. Liu. Explaining Regressions via Alignment Slicing and Mending. IEEE Transactions on Software Engineering.  (DOI: 10.1109/TSE.2019.2949568)
  19. Y. Qu, Q. Zheng, J. Chi, Y. Jin, A. He, D. Cui, H. Zhang, T. Liu. Using K-core Decomposition on Class Dependency Networks to Improve Bug Prediction Model's Practical Performance. IEEE Transactions on Software Engineering. (DOI: 10.1109/TSE.2019.2892959)
  20. W. Jin, T. Liu, Y. Cai, R. Kazman, R. Mo, Q . Zheng. Service Candidate Identification from Monolithic Systems based on Execution Traces. IEEE Transactions on Software Engineering. (DOI: 10.1109/TSE.2019.2910531)
  21. X. Zhang, Z. Yang, Q. Zheng, Y. Hao, P. Liu, T. Liu. Tell you a Definite Answer: Whether Your Data is Tainted During Thread Scheduling. IEEE Transactions on Software Engineering. (DOI: 10.1109/TSE.2018.2871666) 
  22. M. Fan, J. Liu, X. Luo, K. Chen, Z. Tian, X. Zhang, Q. Zheng, T. Liu. Android Malware Familial Classification and Representative Sample Selection via Frequent Subgraph Analysis. IEEE Transactions on Information Forensics & Security, 13(8), 1890-1905, 2018.
  23. Z. Tian, T. Liu, Q. Zheng, E. Zhuang, M. Fan, Z. Yang. Reviving Sequential Program Birthmarking for Multithreaded Software Plagiarism Detection. IEEE Transactions on Software Engineering, 44(5), 491-511, 2018.
  24. H. Wang, T. Liu, X. Guan, S. Chao, Q. Zheng, Z. Yang. Dependence Guided Symbolic Execution. IEEE Transactions on Software Engineering. 2017, 43(3): 252-271.
  25. M. Fan, J. Liu, W. Wang, H. Li, Z. Tian, T. Liu. DAPASA: Detecting Android Piggybacked Apps through Sensitive Subgraph Analysis. IEEE Transactions on Information Forensics & Security. 2017, 12(8), 1772-1785
  26. H. Zhang, Q. Zheng, T. Liu, Z. Yang, M. Luo, Y. Qu. Improving Linguistic Pairwise Comparison Consistency via Linguistic Discrete Regions. IEEE Transactions on Fuzzy Systems, 2016, 24(3): 600-614.
  27. M. Fan, J. Liu, X. Luo, K. Chen, T. Chen, Z. Tian, X. Zhang, Q. Zheng, T. Liu. Frequent Subgraph based Familial Classification of Android Malware. IEEE International Symposium on Software Reliability Engineering (ISSRE). Ottawa, Canada, October, 2016. (Best Paper Award)
  28. Z. Tian, Q. Zheng, T. Liu, M. Fan, et al. Software Plagiarism Detection with Birthmarks based on Dynamic Key Instruction Sequences. IEEE Transactions on Software Engineering, 2015, 41(12): 1217-1235. 

 

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