By Mr Yuekang Li

Journal articles

Kan S; Li Y; He W; Xing Z; Zhu L; Sui Y, 2025, 'S pectre : Automated Aliasing Specifications Generation for Library APIs with Fuzzing', ACM Transactions on Software Engineering and Methodology, http://dx.doi.org/10.1145/3725811

Ge J; Zheng Y; Li Y; Ma W; Habib SM; Kakkolangara P; Byman GW; Liu Y, 2025, 'OptRCA: A More Efficient and Accurate Approach for Automated Root Cause Analysis and Explanation', ACM Transactions on Software Engineering and Methodology, http://dx.doi.org/10.1145/3736718

Zhang X; Zhang C; Li X; Du Z; Mao B; Li Y; Zheng Y; Li Y; Pan L; Liu Y; Deng R, 2024, 'A Survey of Protocol Fuzzing', ACM Computing Surveys, 57, http://dx.doi.org/10.1145/3696788

Li N; Li Y; Liu Y; Shi L; Wang K; Wang H, 2024, 'Drowzee: Metamorphic Testing for Fact-Conflicting Hallucination Detection in Large Language Models', Proceedings of the ACM on Programming Languages, 8, http://dx.doi.org/10.1145/3689776

Wei X; Xiao M; Wang B; Wang C; Li Y; Dou J; Cui Z; Dou J; Wang H; Ma S; Zhu C; Yuan G; Yang N; Song T; Zhou H; Chen H; Bai Y; Chen Q, 2022, 'Avoiding Structural Collapse to Reduce Lead Leakage in Perovskite Photovoltaics', ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 61, http://dx.doi.org/10.1002/anie.202204314

Li S; Xie X; Lin Y; Li Y; Feng R; Li X; Ge W; Dong JS, 2022, 'Deep Learning for Coverage-Guided Fuzzing: How Far are We?', IEEE Transactions on Dependable and Secure Computing, pp. 1 - 13, http://dx.doi.org/10.1109/TDSC.2022.3200525

Yao S; Chen C; Chen Q; Zhang J; Li Y; Zeng Y, 2022, 'An integrated hydrodynamic and multicriteria evaluation Cellular Automata-Markov model to assess the effects of a water resource project on waterbird habitat in wetlands', JOURNAL OF HYDROLOGY, 607, http://dx.doi.org/10.1016/j.jhydrol.2022.127561

Yao S; Li X; Liu C; Zhang J; Li Y; Gan T; Liu B; Kuang W, 2020, 'New assessment indicator of habitat suitability for migratory bird in wetland based on hydrodynamic model and vegetation growth threshold', ECOLOGICAL INDICATORS, 117, http://dx.doi.org/10.1016/j.ecolind.2020.106556

Luo H; Lou VWQ; Li Y; Chi I, 2019, 'Development and Validation of a Prognostic Tool for Identifying Residents at Increased Risk of Death in Long-Term Care Facilities', JOURNAL OF PALLIATIVE MEDICINE, 22, pp. 258 - 266, http://dx.doi.org/10.1089/jpm.2018.0219

Conference Papers

Ding Z; Deng G; Liu Y; Ding J; Chen J; Sui Y; Li Y, 2025, 'IllusionCAPTCHA: A CAPTCHA based on Visual Illusion', in Www 2025 Proceedings of the ACM Web Conference, pp. 3683 - 3691, http://dx.doi.org/10.1145/3696410.3714726

Liu T; Deng Z; Meng G; Li Y; Chen K, 2024, 'Demystifying RCE Vulnerabilities in LLM-Integrated Apps', in Ccs 2024 Proceedings of the 2024 ACM Sigsac Conference on Computer and Communications Security, pp. 1716 - 1730, http://dx.doi.org/10.1145/3658644.3690338

Yang W; Gao C; Liu X; Li Y; Xue Y, 2024, 'Rust-twins: Automatic Rust Compiler Testing through Program Mutation and Dual Macros Generation', in Proceedings 2024 39th ACM IEEE International Conference on Automated Software Engineering Ase 2024, pp. 631 - 642, http://dx.doi.org/10.1145/3691620.3695059

Yu J; Xie X; Zhang C; Chen S; Li Y; Shen W, 2024, 'Bugs in Pods: Understanding Bugs in Container Runtime Systems', in Issta 2024 Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, pp. 1364 - 1376, http://dx.doi.org/10.1145/3650212.3680366

Zhang C; Zheng Y; Bai M; Li Y; Ma W; Xie X; Li Y; Sun L; Liu Y, 2024, 'How Effective Are They? Exploring Large Language Model Based Fuzz Driver Generation', in Issta 2024 Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, pp. 1223 - 1235, http://dx.doi.org/10.1145/3650212.3680355

Xu Z; Liu Y; Deng G; Li Y; Picek S, 2024, 'A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models', in Findings of the Association for Computational Linguistics ACL 2024, Bangkok, Thailand, pp. 7432 - 7449, presented at 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Bangkok, Thailand, 11 August 2024, http://dx.doi.org/10.48550/arXiv.2402.13457

Liu Y; Deng G; Xu Z; Li Y; Zheng Y; Zhang Y; Zhao L; Zhang T; Wang K, 2024, 'A Hitchhiker’s Guide to Jailbreaking ChatGPT via Prompt Engineering', in Sea4dq 2024 Proceedings of the 4th International Workshop on Software Engineering and AI for Data Quality in Cyber Physical Systems Internet of Things Co Located with Esec Fse 2024, pp. 12 - 21, http://dx.doi.org/10.1145/3663530.3665021

Du Z; Li Y; Zheng Y; Zhang X; Zhang C; Liu Y; Habib SM; Li X; Wang L; Liu Y; Mao B, 2024, 'Medusa: Unveil Memory Exhaustion DoS Vulnerabilities in Protocol Implementations', in Www 2024 Proceedings of the ACM Web Conference, pp. 1668 - 1679, http://dx.doi.org/10.1145/3589334.3645476

Wang G; Li Y; Liu Y; Deng G; Li T; Xu G; Liu Y; Wang H; Wang K, 2024, 'MeTMaP: Metamorphic Testing for Detecting False Vector Matching Problems in LLM Augmented Generation', in Proceedings 2024 IEEE ACM 1st International Conference on AI Foundation Models and Software Engineering Forge 2024, pp. 12 - 23, http://dx.doi.org/10.1145/3650105.3652297

Zhao J; Li Y; Zou Y; Liang Z; Xiao Y; Li Y; Peng B; Zhong N; Wang X; Wang W; Huo W, 2024, 'Leveraging Semantic Relations in Code and Data to Enhance Taint Analysis of Embedded Systems', in Proceedings of the 33rd Usenix Security Symposium, pp. 7067 - 7084

Deng G; Liu Y; Mayoral-Vilches V; Liu P; Li Y; Xu Y; Zhang T; Liu Y; Pinzger M; Rass S, 2024, 'PENTESTGPT: Evaluating and Harnessing Large Language Models for Automated Penetration Testing', in Proceedings of the 33rd Usenix Security Symposium, pp. 847 - 864

Sapin E; Menon S; Ge J; Habib SM; Heymann M; Li Y; Palige R; Byman G; Liu Y, 2023, 'Monitoring Automotive Software Security Health through Trustworthiness Score', in Proceedings Cscs 2023 7th ACM Computer Science in Cars Symposium, http://dx.doi.org/10.1145/3631204.3631859

Shi J; Xiao Y; Li Y; Li Y; Yu D; Yu C; Su H; Chen Y; Huo W, 2023, 'ACETest: Automated Constraint Extraction for Testing Deep Learning Operators', in Issta 2023 Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, pp. 690 - 702, http://dx.doi.org/10.1145/3597926.3598088

Liu Y; Li Y; Deng G; Juefei-Xu F; Du Y; Zhang C; Liu C; Li Y; Ma L; Liu Y, 2023, 'ASTER: Automatic Speech Recognition System Accessibility Testing for Stutterers', in Proceedings 2023 38th IEEE ACM International Conference on Automated Software Engineering Ase 2023, pp. 510 - 521, http://dx.doi.org/10.1109/ASE56229.2023.00107

Du Z; Li Y, 2023, 'HasteFuzz: Full-Speed Fuzzing', in Proceedings 2023 IEEE ACM International Workshop on Search Based and Fuzz Testing Sbft 2023, pp. 73 - 75, http://dx.doi.org/10.1109/SBFT59156.2023.00022

Deng G; Zhang Z; Li Y; Liu Y; Zhang T; Liu Y; Yu G; Wang D, 2023, 'NAUTILUS: Automated RESTful API Vulnerability Detection', in 32nd Usenix Security Symposium Usenix Security 2023, pp. 5593 - 5610

Ge J; Li Y; Liu Y; Zheng Y; Liu Y; Zhao L, 2023, 'PumpChannel: An Efficient and Secure Communication Channel for Trusted Execution Environment on ARM-FPGA Embedded SoC', in Proceedings Design Automation and Test in Europe Date, http://dx.doi.org/10.23919/DATE56975.2023.10137170

Yin J; Li M; Li Y; Yu Y; Lin B; Zou Y; Liu Y; Huo W; Xue J, 2023, 'RSFuzzer: Discovering Deep SMI Handler Vulnerabilities in UEFI Firmware with Hybrid Fuzzing', in Proceedings IEEE Symposium on Security and Privacy, pp. 2155 - 2169, http://dx.doi.org/10.1109/SP46215.2023.10179421

Ge J; Li Y; Zheng Y; Liu Y; Habib SM, 2022, 'More Secure Collaborative APIs resistant to Flush-Based Cache Attacks on Cortex-A9 Based Automotive System', in Proceedings Cscs 2022 6th ACM Computer Science in Cars Symposium, http://dx.doi.org/10.1145/3568160.3570227

Liu Y; Li Y; Liu Y; Wan R; Wu R; Liu Q, 2022, 'Morest: Industry Practice of Automatic RESTful API Testing', in ACM International Conference Proceeding Series, http://dx.doi.org/10.1145/3551349.3559498

Zheng Y; Li Y; Zhang C; Zhu H; Liu Y; Sun L, 2022, 'Efficient greybox fuzzing of applications in Linux-based IoT devices via enhanced user-mode emulation', in Issta 2022 Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, pp. 417 - 428, http://dx.doi.org/10.1145/3533767.3534414

Liu Y; Li Y; Deng G; Liu Y; Wan R; Wu R; Ji D; Xu S; Bao M, 2022, 'Morest: Model-based RESTful API Testing with Execution Feedback', in Proceedings International Conference on Software Engineering, pp. 1406 - 1417, http://dx.doi.org/10.1145/3510003.3510133

Li Y; Sun Y; Xu Z; Cao J; Li Y; Li R; Chen H; Cheung SC; Liu Y; Xiao Y, 2022, 'RegexScalpel: Regular Expression Denial of Service (ReDoS) Defense by Localize-and-Fix', in Proceedings of the 31st Usenix Security Symposium Security 2022, pp. 4183 - 4200

Du Z; Li Y; Liu Y; Mao B, 2022, 'Windranger: A Directed Greybox Fuzzer driven by Deviation Basic Blocks', in Proceedings International Conference on Software Engineering, pp. 2440 - 2451, http://dx.doi.org/10.1145/3510003.3510197

He X; Xie X; Li Y; Sun J; Li F; Zou W; Liu Y; Yu L; Zhou J; Shi W; Huo W, 2021, 'SoFi: Reflection-Augmented Fuzzing for JavaScript Engines', in Proceedings of the ACM Conference on Computer and Communications Security, pp. 2229 - 2242, http://dx.doi.org/10.1145/3460120.3484823

Li S; Lin Y; Xie X; Li Y; Li X; Ge W; Liu Y; Dong J, 2021, 'A First Look at the Effect of Deep Learning in Coverage-guided Fuzzing', in Proceedings 2021 36th IEEE ACM International Conference on Automated Software Engineering Ase 2021, pp. 1186 - 1189, http://dx.doi.org/10.1109/ASE51524.2021.9678794

Zhang C; Lin X; Li Y; Xue Y; Xie J; Chen H; Ying X; Wang J; Liu Y, 2021, 'APICRAFT: Fuzz driver generation for closed-source SDK libraries', in Proceedings of the 30th Usenix Security Symposium, pp. 2811 - 2828

Tian Z; Li Y, 2021, 'AutoCom: Automatic comment generation for C code', in Proceedings of the International Conference on Software Engineering and Knowledge Engineering Seke, pp. 632 - 633, http://dx.doi.org/10.18293/SEKE2021-202

Zhang C; Li Y; Chen H; Luo X; Li M; Nguyen AQ; Liu Y, 2021, 'BIFF: Practical Binary Fuzzing Framework for Programs of IoT and Mobile Devices', in Proceedings 2021 36th IEEE ACM International Conference on Automated Software Engineering Ase 2021, pp. 1161 - 1165, http://dx.doi.org/10.1109/ASE51524.2021.9678910

Li Y; Meng G; Xu J; Zhang C; Chen H; Xie X; Wang H; Liu Y, 2021, 'Vall-nut: Principled Anti-Grey box - Fuzzing', in Proceedings International Symposium on Software Reliability Engineering ISSRE, pp. 288 - 299, http://dx.doi.org/10.1109/ISSRE52982.2021.00039

Li Y; Chen H; Zhang C; Xiong S; Liu C; Wang Y, 2020, 'Ori: A greybox fuzzer for SOME/IP protocols in automotive ethernet', in Proceedings Asia Pacific Software Engineering Conference APSEC, pp. 495 - 499, http://dx.doi.org/10.1109/APSEC51365.2020.00063

Wen C; Wang H; Li Y; Qin S; Liu Y; Xu Z; Chen H; Xie X; Pu G; Liu T, 2020, 'Memlock: Memory usage guided fuzzing', in Proceedings International Conference on Software Engineering, pp. 765 - 777, http://dx.doi.org/10.1145/3377811.3380396

Wang H; Xie X; Li Y; Wen C; Li Y; Liu Y; Qin S; Chen H; Sui Y, 2020, 'Typestate-guided fuzzer for discovering use-after-free vulnerabilities', in Proceedings - International Conference on Software Engineering, pp. 999 - 1010, http://dx.doi.org/10.1145/3377811.3380386

Chen H; Guo S; Xue Y; Sui Y; Zhang C; Li Y; Wang H; Liu Y, 2020, 'MUZZ: Thread-aware grey-box fuzzing for effective bug hunting in multithreaded programs', in Proceedings of the 29th Usenix Security Symposium, pp. 2325 - 2342

Li Y; Xue Y; Chen H; Wu X; Zhang C; Xie X; Wang H; Liu Y, 2019, 'Cerebro: Context-aware adaptive fuzzing for effective vulnerability detection', in Esec Fse 2019 Proceedings of the 2019 27th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 533 - 544, http://dx.doi.org/10.1145/3338906.3338975

Wang H; Xie X; Lin SW; Lin Y; Li Y; Qin S; Liu Y; Liu T, 2019, 'Locating vulnerabilities in binaries via memory layout recovering', in Esec Fse 2019 Proceedings of the 2019 27th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 718 - 728, http://dx.doi.org/10.1145/3338906.3338966

Xie X; Ma L; Wang H; Li Y; Liu Y; Li X, 2019, 'DiffChaser: Detecting Disagreements for Deep Neural Networks', in Kraus S (ed.), PROCEEDINGS OF THE TWENTY-EIGHTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI-INT JOINT CONF ARTIF INTELL, PEOPLES R CHINA, Macao, pp. 5772 - 5778, presented at 28th International Joint Conference on Artificial Intelligence, PEOPLES R CHINA, Macao, 10 August 2019 - 16 August 2019

Du X; Chen B; Li Y; Guo J; Zhou Y; Liu Y; Jiang Y, 2019, 'LEOPARD: Identifying Vulnerable Code for Vulnerability Assessment Through Program Metrics', in Proceedings International Conference on Software Engineering, pp. 60 - 71, http://dx.doi.org/10.1109/ICSE.2019.00024

Xie X; Ma L; Wang H; Li Y; Liu Y; Li X, 2019, 'Diffchaser: Detecting disagreements for deep neural networks', in Ijcai International Joint Conference on Artificial Intelligence, pp. 5772 - 5778, http://dx.doi.org/10.24963/ijcai.2019/800

Chen H; Li Y; Chen B; Xue Y; Liu Y, 2018, 'FOT: A Versatile, Configurable, Extensible Fuzzing Framework', in Leavens GT; Garcia A; Pasareanu CS (eds.), ESEC/FSE'18: PROCEEDINGS OF THE 2018 26TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING, ASSOC COMPUTING MACHINERY, FL, Lake Buena Vista, pp. 867 - 870, presented at 26th ACM Joint Meeting on European Software Engineering Conference (ESEC) / Symposium on the Foundations of Software Engineering (FSE), FL, Lake Buena Vista, 04 November 2018 - 09 November 2018, http://dx.doi.org/10.7115/3236024.3264593

Chen H; Li Y; Chen B; Xue Y; Liu Y, 2018, 'FOT: A versatile, configurable, extensible fuzzing framework', in Esec Fse 2018 Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 867 - 870, http://dx.doi.org/10.1145/3236024.3264593

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