Yu Qu | 屈宇

Yu Qu | 屈宇

About me

I’m a Lecturer in the Department of Computer Science and Engineering at University of California, Riverside (UCR). I used to be an Assistant Project Scientist and a Postdoctoral Researcher at the Center for Research and Education in Cyber Security and Privacy (CRESP) at UCR led by Prof. Heng Yin. I obtained my Ph.D. from the School of Electronic and Information Engineering, Xi’an Jiaotong University under the supervision of Prof. Xiaohong Guan in 2015. My research interests include Software Security, Software Engineering, and applying Machine Learning and Deep Learning theories to analyzing software systems. My Google Scholar, My Web of Science Profile.

Updates

I’m now working as a senior engineer at Xi’an Thermal Power Research Institute, starting from December 2023. My new e-mail is: quyu[AT]tpri.com.cn

Awards

  • 2022 Best Machine Learning and Security Paper (awarded by Cybersecurity Journal, selected from all the security papers published in the year of 2021)
  • National Science and Technology Progress Award of China, 2017

Teaching

  • CS005 Introduction to Computer Programming: Fall 2022, Winter 2023, Spring 2023.

Publications

Journal Papers

  1. [TSE 2023] Jianlei Chi, Yu Qu, Ting Liu, Qinghua Zheng, and Heng Yin. “Seqtrans: Automatic vulnerability fix via sequence to sequence learning.” IEEE Transactions on Software Engineering, vol. 49, no. 2, pp. 564–585, 2023. (Data and Code)

  2. [TSE 2021] Yu Qu, Qinghua Zheng, Jianlei Chi, Yangxu Jin, Ancheng He, Di Cui, Hengshan Zhang, and Ting Liu. “Using K-core Decomposition on Class Dependency Networks to Improve Bug Prediction Model’s Practical Performance.” IEEE Transactions on Software Engineering, vol. 47, no. 2, pp. 348–366, 2021. (Data and Code)

  3. [IST 2021] Yu Qu, Jianlei Chi, and Heng Yin. “Leveraging developer information for efficient effort-aware bug prediction.” Information and Software Technology, vol. 137, p. 106605, 2021.

  4. [EMSE 2021] Yu Qu, and Heng Yin. “Evaluating network embedding techniques’ performances in software bug prediction.” Empirical Software Engineering, vol. 26, pp. 1–44, 2021. (Data and Code)

  5. [JSS 2020] Jianlei Chi, Yu Qu*, Qinghua Zheng, Zijiang Yang, Wuxia Jin, Di Cui, and Ting Liu. “Relation-based test case prioritization for regression testing.” Journal of Systems and Software, vol. 163, p. 110539, 2020. (* Corresponding author)

  6. [SQJ 2018] Wuxia Jin, Ting Liu, Yu Qu, Qinghua Zheng, Di Cui, and Jianlei Chi. “Dynamic structure measurement for distributed software.” Software Quality Journal, vol. 26, pp. 1119-1145, 2018.

  7. [JSS 2015] Yu Qu, Xiaohong Guan, Qinghua Zheng, Ting Liu, Lidan Wang, Yuqiao Hou, and Zijiang Yang. “Exploring community structure of software call graph and its applications in class cohesion measurement.” Journal of Systems and Software, vol. 108, pp. 193-210, 2015.

  8. [TFS 2015] Hengshan Zhang, Qinghua Zheng, Ting Liu, Zijiang Yang, Minnan Luo, and Yu Qu. “Improving linguistic pairwise comparison consistency via linguistic discrete regions.” IEEE Transactions on Fuzzy Systems, vol. 24, pp. 600-614, 2015.

  9. [SIGSOFT SEN 2015] Yu Qu, Xiaohong Guan, Qinghua Zheng, Ting Liu, Jianliang Zhou, and Jian Li. “Calling network: A new method for modeling software runtime behaviors.” ACM SIGSOFT Software Engineering Notes, vol. 40, pp. 1-8, 2015.

  10. [CPE 2012] Ting Liu, Xiaohong Guan, Yu Qu, and Yanan Sun. “A layered classification for malicious function identification and malware detection.” Concurrency and Computation: Practice and Experience, vol. 24, pp. 1169-1179, 2012.

  11. [Network 2009] Ting Liu, Xiaohong Guan, Qinghua Zheng, and Yu Qu. “A new worm exploiting IPv6 and IPv4-IPv6 dual-stack networks: experiment, modeling, simulation, and defense.” IEEE network, vol. 23, pp. 22-29, 2009.

Conference Papers

  1. [NDSS 2024] Lian Gao, Yu Qu, Sheng Yu, Yue Duan, Heng Yin, “SigmaDiff: Semantics-Aware Deep Graph Matching for Pseudocode Diffing.” to appear in NDSS 2024.

  2. [ICSE 2023] Wuxia Jin, Yitong Dai, Jianguo Zheng, Yu Qu, Ming Fan, Zhenyu Huang, Dezhi Huang, and Ting Liu, “Dependency Facade: The Coupling and Conflicts between Android Framework and Its Customization.” in 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE). IEEE, 2023, pp. 1674–1686.

  3. [USENIX Security 2022] Sheng Yu, Yu Qu, Xunchao Hu, and Heng Yin. “{DeepDi}: Learning a relational graph convolutional network model on instructions for fast and accurate disassembly.” in 31st USENIX Security Symposium (USENIX Security 22), 2022, pp. 2709–2725. (Open Access, Data and Code)

  4. [NDSS 2022] Zhenxiao Qi, Yu Qu, and Heng Yin. “Logicmem: Automatic profile generation for binary-only memory forensics via logic inference.” in Proceedings of the 2022 Network and Distributed System Security Symposium. Internet Society, 2022. (Open Access, Code)

  5. [CCS 2021] Xuezixiang Li, Yu Qu, and Heng Yin. “Palmtree: Learning an assembly language model for instruction embedding.” in Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security, 2021, pp. 3236–3251. (Open Access, Data and Code)

  6. [RAID 2019] Ali Davanian, Zhenxiao Qi, Yu Qu, and Heng Yin. “DECAF++: Elastic Whole-System Dynamic Taint Analysis.” In 22nd International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2019), 2019, pp. 31-45. (Open Access)

  7. [ICSE 2019] Di Cui, Ting Liu, Yuanfang Cai, Qinghua Zheng, Qiong Feng, Wuxia Jin, Jiaqi Guo, and Yu Qu. “Investigating the impact of multiple dependency structures on software defects.” In Proceedings of the 41st International Conference on Software Engineering, pp. 584-595. IEEE Press, 2019.

  8. [ASE 2018] Yu Qu, Ting Liu, Jianlei Chi, Yangxu Jin, Di Cui, Ancheng He, and Qinghua Zheng. “node2defect: using network embedding to improve software defect prediction.” In Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, pp. 844-849. ACM, 2018. (Data and Code)

  9. [COMPSAC 2018] Jianlei Chi, Yu Qu, Qinghua Zheng, Zijiang Yang, Wuxia Jin, Di Cui, and Ting Liu. “Test Case Prioritization Based on Method Call Sequences.” in 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC), 2018, pp. 251-256.

  10. [COMPSAC 2018] Yangxu Jin, Ting Liu, Ancheng He, Yu Qu, and Jianlei Chi. “Android Malware Detector Exploiting Convolutional Neural Network and Adaptive Classifier Selection.” in 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC), 2018, pp. 833-834.

  11. [FUZZ-IEEE 2018] Hengshan Zhang, Qinghua Zheng, Zhongmin Wang, Yanping Chen, Yu Qu, and Ting Liu. “Crowd Intelligence for Decision Making Based on Positive and Negative Comparing With Linguistic Scale.” in 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2018, pp. 1-8.

  12. [FUZZ-IEEE 2016] Hengshan Zhang, Qinghua Zheng, Ting Liu, and Yu Qu. “Mixed intuitionistic fuzzy aggregation operators decreasing results of unusual IFNs.” in 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016, pp. 896-903.

  13. [TrustCom 2012] Yanan Sun, Xiaohong Guan, Ting Liu, and Yu Qu. “An identity authentication mechanism based on timing covert channel.” in 2012 IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications, 2012, pp. 832-836.

  14. [NPC 2011] Ting Liu, Xiaohong Guan, Yu Qu, and Yanan Sun. “A layered detection method for malware identification.” in IFIP International Conference on Network and Parallel Computing, 2011, pp. 166-175.

Workshop Papers

  1. [SCTDCP 2016] Wuxia Jin, Ting Liu, Yu Qu, Jianlei Chi, Di Cui, and Qinghua Zheng. “Dynamic cohesion measurement for distributed system.” in Proceedings of the 1st International Workshop on Specification, Comprehension, Testing, and Debugging of Concurrent Programs (SCTDCP, co-located with ASE 2016), 2016, pp. 20-26.

  2. [WETSoM 2014] Yu Qu, Qinghua Zheng, Ting Liu, Jian Li, and Xiaohong Guan. “In-depth measurement and analysis on densification power law of software execution.” in Proceedings of the 5th International Workshop on Emerging Trends in Software Metrics (WETSoM, co-located with ICSE 2014), 2014, pp. 55-58.

  3. [Worm 2007] Qinghua Zheng, Ting Liu, Xiaohong Guan, Yu Qu, and Na Wang. “A new worm exploiting IPv4-IPv6 dual-stack networks.” in Proceedings of the 2007 ACM workshop on Recurring malcode (co-located with CCS 2007), 2007, pp. 9-15.

中文论文

  1. 刘靖雯,晋武侠,屈宇,金洋旭,范铭.面向软件缺陷预测的网络嵌入特征研究.信息安全学报,2021,6(3):25.
  2. 屈宇,潘点飞,刘谦谦,范铭,池剑磊.载人航天工程软件复杂度度量及缺陷预测.2016年载人航天工程软件工程化新技术研讨会,2016:449-459.
  3. 侯雨桥,屈宇,刘林峰,郑庆华,刘烃,郑超,杨子江.基于调用结构的软件可生存性评估方法.中南大学学报(自然科学版),2013,44(S1):443-448.
  4. 屈宇,管晓宏,郑庆华,何岚,吕复强,王志文.开放式Web平台可信性:问题与对策.武汉大学学报(理学版),2010,56(4):451-456.
  5. 刘烃,郑庆华,管晓宏,屈宇,王娜.基于随机实验的蠕虫传播预测研究.通信学报,2007,28(12):72-77.

Services

  • Technical Program Chair, The 2nd IEEE International Workshop on Trustworthy Software Systems (TrustSoft 2016)
  • Program Committee of ISSRE 2021, ISSRE 2022, ISSRE 2023
  • Reviewer:
    • IEEE Transactions on Software Engineering
    • IEEE Transactions on Information Forensics and Security
    • Journal of Systems and Software
    • IEEE Transactions on Reliability
    • IEEE Transactions on Dependable and Secure Computing
    • Information and Software Technology
    • Software Quality Journal (SQJ)
    • Cybersecurity Journal
    • Automated Software Engineering (Journal)
  • Subreviewer:
    • EAI SecureComm 2023
    • DFRWS USA 2023
    • International Workshop on Digital Crime and Forensics 2016 (IWDCF 2016)
    • The 1st IEEE International Workshop on Trustworthy Software Systems (TrustSoft 2015)
    • IEEE Global Communications Conference 2014 (GLOBECOM 2014)