Sen Chen's Homepage

[2025]

(ICSE 2025, CCF-A) Yuxin Zhang, Sen Chen^*, Xiaofei Xie, Zibo Liu, and Lingling Fan, "Scenario-Driven and Context-Aware Automated Accessibility Testing for Android Apps", Ottawa, Ontario, Canada, In Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, Sun 27 April - Sat 3 May 2025

[2024]

(FSE 2024, CCF-A) Kaixuan Li, Yue Xue, Sen Chen^*, Han Liu, Kairan Sun, Ming Hu, Haijun Wang, Yang Liu, and Yixiang Chen, "Static Application Security Testing (SAST) Tools for Smart Contracts: How Far Are We?", Porto de Galinhas, Brazil, Brazil, In Proceedings of the 32th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering; Mon 15 - Fri 19 July 2024, Pages:1-24.
ACM SIGSOFT Distinguished Paper Award

(TSE 2024, CCF-A) Jingyun Zhu, Kaixuan Li, Sen Chen^*, Lingling Fan, Junjie Wang, and Xiaofei Xie, "A Comprehensive Study on Static Application Security Testing (SAST) Tools for Android", IEEE Transactions on Software Engineering (Accepted on October 2024; Published on Volume:), Pages:, DOI.

(TSE 2024, CCF-A) Fangyuan Zhang, Lingling Fan, Sen Chen, Miaoying Cai, Sihan Xu, and Lida Zhao, "Does the Vulnerability Threaten Our Projects? Automated Vulnerable API Detection for Third-Party Libraries", IEEE Transactions on Software Engineering (Accepted on August 2024; Published on Volume:), Pages:, DOI.

(ISSTA 2024, CCF-A) Kaixuan Li, Jian Zhang, Sen Chen, Han Liu, Yang Liu, and Yixiang Chen, "PatchFinder: A Two-Phase Approach to Security Patch Tracing for Disclosed Vulnerabilities in Open-Source Software", In Proceedings of the ACM SIGSOFT International Symposium on Software Testing and Analysis; Mon 16 - Fri 20 September 2024 Vienna, Austria.

(ISSTA 2024, CCF-A) Jiongchi Yu, Xiaofei Xie, Cen Zhang, Sen Chen, Yuekang Li, and Wenbo Shen, "Bugs in Pods: Understanding Bugs in Container Runtime Systems", In Proceedings of the ACM SIGSOFT International Symposium on Software Testing and Analysis; Mon 16 - Fri 20 September 2024 Vienna, Austria..

(LCTES 2024, CCF-B) Ruitao Feng, Sen Li, Sen Chen, Mengmeng Ge, Xuewei Li, and Xiaohong Li, "Unmasking the Lurking: Malicious Behavior Detection for IoT Malware with Multi-label Classification", Copenhagen, Denmark, In Proceedings of the 25th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems; Mon 24 - Fri 28 June 2024, Pages:1--12.

(TrustCom 2024, CCF-C) Fei Zhang, Ruitao Feng, Xiaohong Li, and Sen Chen, "Behavior Speaks Louder: Rethinking Malware Analysis Beyond Family Classification", Sanya, China, In Proceedings of the 23rd IEEE International Conference on Trust, Security and Privacy in Computing and Communications; December 17-21, 2024.

[2023]

(ASE 2023, CCF-A) Yao Zhang, Xiaofei Xie, Yi Li, Sen Chen^*, Cen Zhang, and Xiaohong Li "EndWatch: A Practical Method for Detecting Non-Termination in Real-World Software", Kirchberg, Luxembourg, In Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering; Mon 11 - Fri 15 September 2023, Pages:686--697, 686--69710.1109/ASE56229.2023.00061.
ACM SIGSOFT Distinguished Paper Award

(ASE 2023, CCF-A) Xiangyu Zhang, Lingling fan, Sen Chen, Yucheng Su, and Boyuan Li "Scene-Driven Exploration and GUI Modeling for Android Apps", Kirchberg, Luxembourg, In Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering; Mon 11 - Fri 15 September 2023, Pages:1251--1262, 10.1109/ASE56229.2023.00179.

(ASE 2023, CCF-A) Lyuye Zhang, Chengwei Liu, Sen Chen, Zhengzi Xu, Lingling Fan, Lida Zhao, Yiran Zhang and Yang Liu "Mitigating Persistence of Open-Source Vulnerabilities in Maven Ecosystem", Kirchberg, Luxembourg, In Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering; Mon 11 - Fri 15 September 2023, Pages:191--203, 10.1109/ASE56229.2023.00058.

(FSE 2023, CCF-A) Yuxin Zhang, Sen Chen^*, Lingling Fan, Chunyang Chen, Xiaohong Li "Automated and Context-Aware Repair of Color-Related Accessibility Issues for Android Apps", United States, In Proceedings of the 31th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering; 3 December-9 December 2023, Pages:1255–1267, https://doi.org/10.1145/3611643.3616329.

(FSE 2023, CCF-A) Lida Zhao, Sen Chen^*, Zhengzi Xu, Chengwei Liu, lyuye Zhang, Jiahui Wu, Jun Sun, and Yang Liu "Software Composition Analysis for Vulnerability Detection: An Empirical Study on Java Projects", United States, In Proceedings of the 31th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering; 3 December-9 December 2023, Pages: 960–972, https://doi.org/10.1145/3611643.3616299.

(FSE 2023, CCF-A) Kaixuan Li, Sen Chen^#, Lingling Fan, Ruitao Feng, Han Liu, Chengwei Liu, Yang Liu, Yixiang Chen "Comparison and Evaluation on Static Application Security Testing (SAST) Tools for Java", United States, In Proceedings of the 31th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering; 3 December-9 December 2023, Pages:921–933, https://doi.org/10.1145/3611643.3616262.

(ISSTA 2023, CCF-A) Han Liu, Sen Chen^#, Ruitao Feng, Chengwei Liu, Kaixuan Li, Zhengzi Xu, Liming Nie, Yang Liu, and Yixiang Chen, "A Comprehensive Study on Quality Assurance Tools for Java", United States, In Proceedings of the 32nd International Symposium on Software Testing and Analysis; 17 July-21 July 2023, Pages:285–297, https://doi.org/10.1145/3597926.3598056.

(ICSE 2023, CCF-A) Lvye Zhang, Chengwei Liu, Zhengzi Xu, Sen Chen^*, Lingling Fan, Lida Zhao, Jiahui Wu, and Yang Liu, "Compatible Remediation on Vulnerabilities from Third-Party Libraries for Java Projects", In Proceedings of the 45th International Conference on Software Engineering; Melbourne, Australia; 14 May-20 May; Pages:2544-2556, DOI 10.1109/ICSE48619.2023.00212.
ACM SIGSOFT Distinguished Paper Award

(ICSE 2023, CCF-A) Sen Yang, Sen Chen^#, Lingling Fan, Sihan Xu, Zhanwei Hui, and Song Huang, "Compatibility Issue Detection for Android Apps Based on Path-Sensitive Semantic Analysis", In Proceedings of the 45th International Conference on Software Engineering; Melbourne, Australia; 14 May-20 May; Pages:257-269, DOI 10.1109/ICSE48619.2023.00033.

(ICSE 2023, CCF-A) Yuxin Zhang, Sen Chen^*, and Lingling Fan, "A Web-Based Tool for Using Storyboard of Android Apps", In Proceedings of the 45th International Conference on Software Engineering; demo track; Melbourne, Australia; 14 May-20 May; Pages:117-121, DOI 10.1109/ICSE-Companion58688.2023.00037.

[2022]

(TDSC 2022, CCF-A) Guangke Chen, Zhe Zhao, Fu Song, Sen Chen, Lingling Fan, Feng Wang, and Jiashui Wang, "Towards Understanding and Mitigating Audio Adversarial Examples for Speaker Recognition", IEEE Transactions on Dependable and Secure Computing (Accepted on 11 November, 2022; Published on 202X); Pages:, 10.1109/TDSC.2022.3220673.

(TDSC 2022, CCF-A) Qijing Qiao, Ruitao Feng, Sen Chen^*, Fei Zhang, and Xiaohong Li, "Multi-label Classification for Android Malware Based on Active Learning", IEEE Transactions on Dependable and Secure Computing (Accepted on 30 Sept., 2022; Published on 202X), Early Access; Pages:, 10.1109/TDSC.2022.3213689.

(TSE 2022, CCF-A) Sen Chen, Lingling Fan, Chunyang Chen, and Yang Liu, "Automatically Distilling Storyboard with Rich Features for Android Apps", IEEE Transactions on Software Engineering (Accepted on 28 February, 2022; Published on Volume: 49, Issue 2, 01 February 2023), Pages:667-683, 10.1109/TSE.2022.3159548.

(ASE 2022, CCF-A) Sen Chen, Yuxin Zhang, Lingling Fan, Jiaming Li, and Yang Liu, "AUSERA: Automated Security Vulnerability Detection for Android Apps", In Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, demo track, Michigan, United States, 10 October-14 October, Pages:154:1-154:5, https://doi.org/10.1145/3551349.3559524.

(ASE 2022, CCF-A) Lyuye Zhang, Chengwei Liu, Zhengzi Xu, Sen Chen, Lingling Fan, Bihuan Chen, and Yang Liu, "Has My Release Disobeyed Semantic Versioning? Static Detection Based On Semantic Differencing", In Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, Michigan, United States, 10 October-14 October, Pages:51:1-51:12, 10.1145/3551349.3556956.
ACM SIGSOFT Distinguished Paper Award

(ASE 2022, CCF-A) Lili Quan, Qianyu Guo, Xiaofei Xie, Sen Chen^*, Xiaohong Li, and Yang Liu, "Towards Understanding the Faults of JavaScript-Based Deep Learning Systems", The 37th IEEE/ACM International Conference on Automated Software Engineering, Michigan, United States, 10 October-14 October, Pages:105:1-105:13, https://doi.org/10.1145/3551349.3560427.

(TDSC 2022, CCF-A) Guangke Chen, Zhen Zhao, Fu Song, Sen Chen, Lingling Fan, and Yang Liu, "AS2T: Arbitrary Source-To-Target Adversarial Attack on Speaker Recognition Systems", IEEE Transactions on Dependable and Secure Computing (Accepted on 08 July, 2022, Published on 202X); Pages:, 10.1109/TDSC.2022.3189397.

(FSE 2022, CCF-A) Xiuhan Shi, Xiaofei Xie, Yi Li, Yao Zhang, Sen Chen^*, and Xiaohong Li, "Large-Scale Analysis of Non-Termination Bugs in Real-World OSS Projects", In Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Singapore, 14th-16th November, 2022; Pages 256–268, https://doi.org/10.1145/3540250.3549129.

(ICSE 2022, CCF-A) Chengwei Liu, Sen Chen^*, Lingling Fan, Bihuan Chen, Yang Liu, and Xin Peng, "Demystifying the Vulnerability Propagation and Its Evolution via Dependency Trees in the NPM Ecosystem", In Proceedings of the 44th International Conference on Software Engineering, Pittsburgh, PA, USA, 21 May-29 May, 2022; Pages 672-684, https://doi.org/10.1145/3510003.3510142.

(TSE 2022, CCF-A) Yao Zhang, Xiaofei Xie, Yi Li, Yun Lin, Sen Chen^*, Yang Liu, and Xiaohong Li, "Demystifying Performance Regressions in String Solvers", IEEE Transactions on Software Engineering (Accepted on 4 April, 2022; Published on Volume: 49, Issue: 3, 01 March 2023), Pages:947-961, 10.1109/TSE.2022.3168373.

(SCIS 2022, CCF-A) Yude Bai, Sen Chen^*, Zhenchang Xing, and Xiaohong Li, "ArgusDroid: Detecting Android Malware Variants by Mining Permission-API Knowledge Graph", In Proceedings of the Science China Information Sciences (Accepted on 24 Jan, 2022, Published on September 2023); Pages: 192101:1–192101:19, https://doi.org/10.1007/s11432-021-3414-7.

(COMPSAC 2022) Guoqing Yan, Sen Chen^*, Yude Bai, and Xiaohong Li, "Can Deep Learning Models Learn the Vulnerable Patterns for Vulnerability Detection", In Proceedings of the 46th IEEE Computer Society Computers, Software, and Applications Conference, 27 June-1 July, 2022; Pages, 904-913, 10.1109/COMPSAC54236.2022.00142.

(SEKE 2022) Lancong Liu, Shizhan Chen, Sen Chen, Guodong Fan, Zhiyong Feng and Hongyue Wu, "Adaptive Prior-Knowledge-Assisted Function Naming Based on Multi-level Information Explorer", In Proceedings of the 34th International Conference on Software Engineering & Knowledge Engineering, July 1-July 10, 2022; Pages 85-90, 10.18293/SEKE2022-085.

[2021]

(TSE, CCF-A) Sen Chen, Chunyang Chen, Lingling Fan, Mingming Fan, Xian Zhan, and Yang Liu, "Accessible or Not? An Empirical Investigation of Android App Accessibility", IEEE Transactions on Software Engineering (Accepted 30 on August, 2021; Published on Volume: 48, Issue: 10, 01 Oct. 2022), Pages: 3954-3968, 10.1109/TSE.2021.3108162.

(TOSEM, CCF-A) Hao Guo, Sen Chen^*, Zhenchang Xing, Xiaohong Li, Yude Bai, and Jiamou Sun, "Detecting and Augmenting Missing Key Aspects in Vulnerability Descriptions", ACM Transactions on Software Engineering and Methodology (Accepted on 30 November, 2021; Published on Volume: 31, Issue: 3, July 2022); Pages: 1-27, https://doi.org/10.1145/3498537.

(TSE, CCF-A) Xian Zhan, Tianming Liu, Lingling Fan, Li Li, Sen Chen, Yang Liu, and Xiapu Luo, "Research on Third-Party Libraries in Android Apps: A Taxonomy and Systematic Literature Review", IEEE Transactions on Software Engineering (Accepted 21 September, 2021; Published on Volume: 48, Issue: 10, 01 Oct. 2022); Pages: 4181-4213, 10.1109/TSE.2021.3114381.

(IEEE S&P 2021, CCF-A) Guangke Chen, Sen Chen^#, Lingling Fan, Xiaoning Du, Zhe Zhao, Fu Song, and Yang Liu, "Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems", In Proceedings of the 42nd IEEE Symposium on Security and Privacy, San Francisco, CA, USA, 24 May-27 May, 2021; Pages 694-711, 10.1109/SP40001.2021.00004.

(ICSE 2021, CCF-A) Xian Zhan, Lingling Fan, Sen Chen, Feng Wu, Tianming Liu, Xiapu Luo, and Yang Liu, "ATVHunter: Reliable Version Detection of Third-Party Libraries for Vulnerability Identification in Android Applications", In Proceedings of the 43rd International Conference on Software Engineering, Madrid, Spain, 25 May-28 May, 2021; Pages 1695-1707, 10.1109/ICSE43902.2021.00150.
ACM SIGSOFT Distinguished Paper Award

(IJIS 2021, SCI-Q1) Fu Song, Yusi Lei, Sen Chen, Lingling Fan, and Yang Liu "Advanced Evasion Attacks and Mitigations on Practical ML-Based Phishing Website Classifiers", In Proceedings of the International Journal of Intelligent Systems, Volume 36, Number 1, January 2021; Pages 5210-5240, 10.1002/int.22510.

(ISSRE 2021, Core Rank A, CCF-B) Sen Chen, Lingling Fan, Cuiyun Gao, Fu Song, and Yang Liu "Peeking into the Gray Area of Mobile World: An Empirical Study of Unlabeled Android Apps", In Proceedings of the 32nd International Symposium on Software Reliability Engineering, 25 October-28 October, 2021; Pages 579-590, 10.1109/ISSRE52982.2021.00065.

(FCS, CCF-B) Pu Sun, Sen Chen^#, Lingling Fan, Penfei Gao, Fu Song, and Min Yang "VenomAttack: Automated and Adaptive Activity Hijacking in Android", In Proceedings of the Frontiers of Computer Science (Accepted on 19 Aug, 2021, Published on 2023, 17(1): 171801); Pages 171801, https://doi.org/10.1007/s11704-021-1126-x.

(SCIS, CCF-A) Di Cui, Lingling Fan, Sen Chen, Yuanfang Cai, Qinghua Zheng, Yang Liu, and Ting Liu "Towards Characterizing Bug Fixes through Dependency-Level Changes", In Proceedings of the Science China Information Sciences (SCIS) (Accepted on 28 July, 2021, Published on 10 June 2022); Pages 1-19, https://doi.org/10.1007/s11432-020-3317-2.

(APSEC 2021) Yuxuan Li, Ruitao Feng, Sen Chen^*, Qianyu Guo, Lingling Fan, and Xiaohong Li, "IconChecker: Anomaly Detection of Icon-Behaviors for Android Apps", In Proceedings of the 28th IEEE The Asia-Pacific Software Engineering Conference, 6 December-9 December, 2021; Pages 202-212, 10.1109/APSEC53868.2021.00028.

(COMPSAC 2021) Liu Yuan, Yude Bai, Zhenchang Xing, Sen Chen^*, Xiaohong Li, and Zhidong Deng, "Predicting Entity Relations across Different Security Databases by Using Graph Attention Network", In Proceedings of the 45th IEEE Computer Society Computers, Software, and Applications Conference, 12 July-16 July, 2021; Pages 834-843, 10.1109/COMPSAC51774.2021.00116.

(COMPSAC 2021) Hao Guo, Zhenchang Xing, Sen Chen^*, Xiaohong Li, Yude Bai, and Hu Zhang, "Key Aspects Augmentation of Vulnerability Description based on Multiple Security Databases", In Proceedings of the 45th IEEE Computer Society Computers, Software, and Applications Conference, 12 July-16 July, 2021; Pages 1020-1025, 10.1109/COMPSAC51774.2021.00138.

(TASE 2021) Yingwen Lin, Yao Zhang, Sen Chen^*, Fu Song, Xiaofei Xie, Xiaohong Li, and Lintan Sun, "Inferring Loop Invariants for Multi-Path Loops", In Proceedings of the 15th Theoretical Aspects of Software Engineering Conference, 25 Aug-27 Aug, 2021; Pages 73-70, 10.1109/TASE52547.2021.00030.

[2020]

(ICSE 2020, CCF-A) Sen Chen, Lingling Fan, Guozhu Meng, Ting Su, Minhui Xue, Yinxing Xue, Yang Liu, and Lihua Xu, "An Empirical Assessment of Security Risks of Global Android Banking Apps", In Proceedings of the 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June-19 July, 2020; Pages 1310–1322, https://doi.org/10.1145/3377811.3380417.

(TSE, CCF-A) Shangqing Liu, Cuiyun Gao, Sen Chen, Lun Yiu Nie, and Yang Liu, "ATOM: Commit Message Generation Based on Abstract Syntax Tree and Hybrid Ranking", IEEE Transactions on Software Engineering (Accepted on 17 November 2020; Published on Volume: 48, Issue: 5, 01 May 2022); Pages: 1800-1817, 10.1109/TSE.2020.3038681.

(TIFS, CCF-A) Ruitao Feng, Sen Chen^*, Xiaofei Xie, Guozhu Meng, Shang-Wei Lin, and Yang Liu, "A Performance-Sensitive Malware Detection System Using Deep Learning on Mobile Devices", IEEE Transactions on Information Forensics and Security; Volume 16, 2021, Pages 1563-1578, 10.1109/TIFS.2020.3025436.

(TOSEM, CCF-A) Bozhi Wu, Sen Chen^*, Cuiyun Gao, Lingling Fan, Yang Liu, Weiping Wen, and Michael R. Lyu, "Why an Android App is Classified as Malware? Towards Malware Classification Interpretation", ACM Transactions on Software Engineering and Methodology; Volume 20, Issue 2, March 2021, Article No.: 21, Pages: 1–29, https://doi.org/10.1145/3423096.

(USENIX Security 2020, CCF-A) Zhushou Tang, Ke Tang, Minhui Xue, Yuan Tian, Sen Chen, Muhammad Ikram, Tielei Wang, and Haojin Zhu, "iOS, Your OS, Everybody's OS: Vetting and Analyzing Network Services of iOS Applications", In Proceedings of the 29th USENIX Security Symposium, Boston, MA, USA, 12 August-14 August, 2020; Pages 2415-2432, 3489212.3489348.

(TSE, CCF-A) Ting Su, Lingling Fan, Sen Chen, Yang Liu, Lihua Xu, Geguang Pu, and Zhendong Su, "Why My App Crashes? Understanding and Benchmarking Framework-specific Exceptions of Android Apps", IEEE Transactions on Software Engineering (Accepted on 31 July, 2020; Published on Volume: 48, Issue: 4, 01 April 2022); Pages: 1115-1137, 10.1109/TSE.2020.3013438.

(ASE 2020, CCF-A) Xian Zhan, Lingling Fan, Tianming Liu, Sen Chen, Li Li, Haoyu Wang, Yifei Xu, Xiapu Luo, and Yang Liu, "Automated Third-party Library Detection for Android Applications: Are We There Yet?", In Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering (Published on 21 December, 2020), Melbourne, Australia, 21 September-25 September 2020; Pages: 919-930, https://doi.org/10.1145/3324884.3416582.

(ISSRE 2020, CCF-B) Ming Fan, Le Yu, Sen Chen, Hao Zhou, Xiapu Luo, Shuyue Li, Yang Liu, Jun Liu, and Ting Liu, "An Empirical Evaluation of GDPR Compliance Violations in Android mHealth Apps", In Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, Coimbra, Portugal, 12 October-15 October 2020; Pages: 253-264, 10.1109/ISSRE5003.2020.00032.

(ICECCS 2020, Core rank A) Ruitao Feng, Jing Qiang Lim, Sen Chen, Shang-Wei Lin, and Yang Liu, "SeqMobile: An Efficient Sequence-Based Malware Detection System Using RNN on Mobile Devices", In Proceedings of the 25th International Conference on Engineering of Complex Computer Systems, Singapore, 4 March-6 March, 2021; Pages 63-72, 10.1109/ICECCS51672.2020.00015.

(SANER 2020, CCF-B) Jing Kai Siow, Cuiyun Gao, Lingling Fan, Sen Chen, and Yang Liu, "CORE: Automating Review Recommendation for Code Changes", In Proceedings of the 27th IEEE International Conference on Software Analysis, Evolution and Reengineering, London, Ontario, Canada, 18 February-21 February, 2020; Pages: 284-295, 10.1109/SANER48275.2020.9054794.

[2019]

(TDSC 2019, CCF-A) Sen Chen, Lingling Fan, Chunyang Chen, Minhui Xue, Yang Liu, and Lihua Xu, "GUI-Squatting Attack: Automated Generation of Android Phishing Apps", Transactions on Dependable and Secure Computing (Accepted on 26 November, 2019; Published on Volume: 18, Issue: 6, 01 Nov.-Dec. 2021); Pages: 2551-2568, 10.1109/TDSC.2019.2956035.

(ICSE 2019, CCF-A) Sen Chen, Lingling Fan, Chunyang Chen, Ting Su, Wenhe Li, Yang Liu, and Lihua Xu, "StoryDroid: Automated Generation of Storyboard for Android Apps", In Proceedings of the 41st International Conference on Software Engineering, Montréal, QC, Canada, 25 May-1 June, 2019; Pages: 596-607, 10.1109/ICSE.2019.00070.

(ICSE 2019, CCF-A) Chongbin Tang, Sen Chen^#, Lingling Fan, Lihua Xu, Yang Liu, Zhushou Tang and Liang Dou. "A Large-Scale Empirical Study on Industrial Fake Apps", In Proceedings of the 41st ACM/IEEE International Conference on Software Engineering, Software-Engineering-in-Practice Track (SEIP), Montréal, QC, Canada, 25 May-1 June, 2019; Pages: 183-192, 10.1109/ICSE-SEIP.2019.00028.

(ASE 2019, CCF-A) Qianyu Guo, Sen Chen^*, Xiaofei Xie, Lei Ma, Qiang Hu, Hongtao Liu, Yang Liu, Jianjun Zhao, and Xiaohong Li, "An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms", In Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, San Diego, California, United States, 11 November-15 November, 2019; Pages: 810-822,10.1109/ASE.2019.00080.

(ICECCS 2019, Core rank A) Ruitao Feng, Sen Chen^*, Xiaofei Xie, Lei Ma, Guozhu Meng, Yang Liu, and Shangwei-Lin, "MobiDroid: A Performance-Sensitive Malware Detection System on Mobile Platform", In Proceedings of the 24th International Conference on Engineering of Complex Computer Systems, Hong Kong, China, 10 November-13 November, 2019; Pages: 61-70, 10.1109/ICECCS.2019.00014.

(SANER 2019, CCF-B) Sen Chen, Lingling Fan, Ting Su, Lei Ma, Yang Liu and Lihua Xu. "Automated Cross-Platform GUI Code Generation for Mobile Apps", In Proceedings of the 26th IEEE International Conference on Software Analysis, Evolution, and Reengineering, AI4Mobile, Hangzhou, China, 24 February-27 February, 2019; Pages: 13-16, 10.1109/AI4Mobile.2019.8672718.

(SANER 2019, CCF-B) Sen Chen, Minhui Xue, Lingling Fan, Lei Ma, Yang Liu and Lihua Xu. "How Can We Craft Large-Scale Mobile Malware? An Automated Poisoning Attack", In Proceedings of the 26th IEEE International Conference on Software Analysis, Evolution, and Reengineering, AI4Mobile, Hangzhou, China, 24 February-27 February, 2019; Pages: 21-24, 10.1109/AI4Mobile.2019.8672691.

[2018]

(ESEC/FSE 2018, CCF-A) Sen Chen, Ting Su, Lingling Fan, Guozhu Meng, Minhui Xue, Yang Liu, and Lihua Xu, "Are Mobile Banking Apps Secure? What Can be Improved?", In Proceedings of the 26th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Lake Buena Vista, Florida, United States, 4 November-9 November, 2018; Pages 797–802, https://doi.org/10.1145/3236024.3275523.

(ASE 2018, CCF-A) Lingling Fan, Ting Su, Sen Chen, Guozhu Meng, Yang Liu, Lihua Xu and Geguang Pu, "Efficiently Manifesting Asynchronous Programming Errors in Android Apps", In Proceedings of the 33rd IEEE/ACM International Conference on Automated Software Engineering, Montpellier, France, 3 September-7 September, 2018; Pages 486–497, https://doi.org/10.1145/3238147.3238170.

(ICSE 2018, CCF-A) Lingling Fan, Ting Su, Sen Chen, Guozhu Meng, Yang Liu, Lihua Xu, Geguang Pu, and Zhendong Su, "Large-Scale Analysis of Framework-Specific Exceptions in Android Apps", In Proceedings of the 40th International Conference on Software Engineering, Gothenburg, Sweden, 27 May-3 June, 2018; Pages 408–419, https://doi.org/10.1145/3180155.3180222.
ACM SIGSOFT Distinguished Paper Award

[2017]

(Computers & Security 2017, CCF-B) Sen Chen, Minhui Xue, Lingling Fan, Shuang Hao, Lihua Xu, Haojin Zhu, and Bo Li, "Automated Poisoning Attacks and Defenses in Malware Detection System: An Adversarial Machine Learning Approach", In Proceedings of the Elsevier Computers & Security, Volume 73 (March 2018); Pages 326-344, 10.1016/j.cose.2017.11.007.

[2016]

(APSEC 2016) Lingling Fan, Sen Chen, Lihua Xu, Zongyuan Yang, and Huibiao Zhu, "Model-Based Continuous Verification", In Proceedings of the IEEE ASIA-Pacific Software Engineering Conference, Hamilton, New Zealand, 6 December-9 December, 2016; Pages: 81-88, 10.1109/APSEC.2016.022.

(CCS 2016, CCF-A) Lingling Fan, Minhui Xue, Sen Chen, Lihua Xu, and Haojin Zhu, "Accuracy vs. Time Cost: Detecting Android Malware through Pareto Ensemble Pruning", In Proceedings of the ACM Conference on Computer and Communications Security, Vienna, Austria, 24 October-28 October, 2016; Pages 1748–1750, https://doi.org/10.1145/2976749.2989055.

(MobiCom 2016, CCF-A) Sen Chen, Minhui Xue, and Lihua Xu, "Towards Adversarial Detection of Mobile Malware", In Proceedings of the Annual International Conference on Mobile Computing and Networking, New York, USA, 3 October-7 October, 2016; Pages 415–416, https://doi.org/10.1145/2973750.2985246.

(ASIACCS 2016) Sen Chen, Minhui Xue, Zhushou Tang, Lihua Xu, and Haojin Zhu, "StormDroid: A Streaminglized Machine Learning-Based System for Detecting Android Malware", In Proceedings of the ACM Asia Conference on Computer and Communications Security, Xi'an, China, 30 May-3 June, 2016; Pages 377–388, https://doi.org/10.1145/2897845.2897860.