ORCID as entered in ROS

Select Publications
Yang S; Wang C; Xu X; Zhu L; Yao L, 2024, 'Attacking Visually-aware Recommender Systems with Transferable and Imperceptible Adversarial Styles', in International Conference on Information and Knowledge Management, Proceedings, pp. 2900 - 2909, http://dx.doi.org/10.1145/3627673.3679828
Hu Z; Wang C; Shu Y; Paik HY; Zhu L, 2024, 'Prompt Perturbation in Retrieval-Augmented Generation based Large Language Models', in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1119 - 1130, http://dx.doi.org/10.1145/3637528.3671932
Dong L; Lu Q; Zhu L, 2024, 'A Pilot Study in Surveying Data Challenges of Automatic Software Engineering Tasks', 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. 6 - 11, http://dx.doi.org/10.1145/3663530.3665020
Xia B; Lu Q; Zhu L; Xing Z, 2024, 'An AI System Evaluation Framework for Advancing AI Safety: Terminology, Taxonomy, Lifecycle Mapping', in AIware 2024 - Proceedings of the 1st ACM International Conference on AI-Powered Software, Co-located with: ESEC/FSE 2024, pp. 74 - 78, http://dx.doi.org/10.1145/3664646.3664766
Xia B; Zhang D; Liu Y; Lu Q; Xing Z; Zhu L, 2024, 'Trust in Software Supply Chains: Blockchain-Enabled SBOM and the AIBOM Future', in Proceedings - 2024 IEEE/ACM 4th International Workshop on Engineering and Cybersecurity of Critical Systems and 2024 IEEE/ACM 2nd International Workshop on Software Vulnerability, EnCyCriS/SVM 2024, pp. 12 - 19, http://dx.doi.org/10.1145/3643662.3643957
Lu Q; Zhu L; Xu X; Liu Y; Xing Z; Whittle J, 2024, 'A Taxonomy of foundation model based systems through the lens of software architecture', in Proceedings - 2024 IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI, CAIN 2024, pp. 1 - 6, http://dx.doi.org/10.1145/3644815.3644956
Zhang D; Xia B; Liu Y; Xu X; Hoang T; Xing Z; Staples M; Lu Q; Zhu L, 2024, 'Privacy and copyright protection in generative ai: A lifecycle perspective', in Proceedings - 2024 IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI, CAIN 2024, pp. 92 - 97, http://dx.doi.org/10.1145/3644815.3644952
Xia B; Lu Q; Zhu L; Lee SU; Liu Y; Xing Z, 2024, 'Towards a responsible ai metrics catalogue: A collection of metrics for ai accountability', in Proceedings - 2024 IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI, CAIN 2024, pp. 100 - 111, http://dx.doi.org/10.1145/3644815.3644959
Zhang Z; Xing Z; Zhao D; Lu Q; Xu X; Zhu L, 2024, 'Hard to Read and Understand Pythonic Idioms? Deldiom and Explain Them in Non-Idiomatic Equivalent Code', in Proceedings - International Conference on Software Engineering, pp. 2808 - 2819, http://dx.doi.org/10.1145/3597503.3639101
Shanmugarasa Y; Chamikara MAP; Paik HY; Kanhere SS; Zhu L, 2024, 'Local Differential Privacy for Smart Meter Data Sharing with Energy Disaggregation', in Proceedings - 2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2024, pp. 1 - 10, http://dx.doi.org/10.1109/DCOSS-IoT61029.2024.00012
Lu Q; Zhu L; Xu X; Xing Z; Harrer S; Whittle J, 2024, 'Towards Responsible Generative AI: A Reference Architecture for Designing Foundation Model Based Agents', in Proceedings - IEEE 21st International Conference on Software Architecture Companion, ICSA-C 2024, pp. 119 - 126, http://dx.doi.org/10.1109/ICSA-C63560.2024.00028
Sun J; Chen J; Xing Z; Lu Q; Xu X; Zhu L, 2024, 'Where is it? Tracing the Vulnerability-Relevant Files from Vulnerability Reports', in Proceedings - International Conference on Software Engineering, pp. 2469 - 2481, http://dx.doi.org/10.1145/3597503.3639202
Zhou G; Huang C; Chen X; Xu X; Wang C; Zhu L; Yao L, 2023, 'Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems', in International Conference on Information and Knowledge Management, Proceedings, pp. 3564 - 3573, http://dx.doi.org/10.1145/3583780.3614823
Sun J; Xing Z; Lu Q; Xu X; Zhu L, 2023, 'A Multi-faceted Vulnerability Searching Website Powered by Aspect-level Vulnerability Knowledge Graph', in Proceedings - International Conference on Software Engineering, pp. 60 - 63, http://dx.doi.org/10.1109/ICSE-Companion58688.2023.00025
Liu Y; Lu Q; Yu G; Paik HY; Zhu L, 2023, 'A Pattern-Oriented Reference Architecture for Governance-Driven Blockchain Systems', in Proceedings - IEEE 20th International Conference on Software Architecture, ICSA 2023, pp. 23 - 34, http://dx.doi.org/10.1109/ICSA56044.2023.00011
Chia SY; Xu X; Ding M; Smith D; Paik HY; Zhu L, 2023, 'A Selection Model of Privacy Patterns', in Proceedings - IEEE 20th International Conference on Software Architecture, ICSA 2023, pp. 1 - 11, http://dx.doi.org/10.1109/ICSA56044.2023.00009
Xia B; Bi T; Xing Z; Lu Q; Zhu L, 2023, 'An Empirical Study on Software Bill of Materials: Where We Stand and the Road Ahead', in Proceedings - International Conference on Software Engineering, pp. 2630 - 2642, http://dx.doi.org/10.1109/ICSE48619.2023.00219
Liu Y; Lu Q; Paik HY; Yu G; Zhu L, 2023, 'Decision Models for Selecting Patterns in Governance-driven Blockchain Systems', in Proceedings - 2023 IEEE International Conference on Blockchain, Blockchain 2023, pp. 307 - 314, http://dx.doi.org/10.1109/Blockchain60715.2023.00055
Zhang Z; Xing Z; Xia X; Xu X; Zhu L; Lu Q, 2023, 'Faster or Slower? Performance Mystery of Python Idioms Unveiled with Empirical Evidence', in Proceedings - International Conference on Software Engineering, pp. 1495 - 1507, http://dx.doi.org/10.1109/ICSE48619.2023.00130
Zhou G; Yao L; Xu X; Wang C; Zhu L, 2023, 'Meta-learning for Estimating Multiple Treatment Effects with Imbalance', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 886 - 895, http://dx.doi.org/10.1007/978-981-99-7254-8_69
Yang S; Yao L; Wang C; Xu X; Zhu L, 2023, 'Review-Incorporated Model-Agnostic Profile Injection Attacks on Recommender Systems', in Proceedings - IEEE International Conference on Data Mining, ICDM, pp. 1481 - 1486, http://dx.doi.org/10.1109/ICDM58522.2023.00195
Zhang Z; Xing Z; Xu X; Zhu L, 2023, 'RIdiom: Automatically Refactoring Non-Idiomatic Python Code with Pythonic Idioms', in Proceedings - International Conference on Software Engineering, pp. 102 - 106, http://dx.doi.org/10.1109/ICSE-Companion58688.2023.00034
Zhao D; Xing Z; Xia X; Ye D; Xu X; Zhu L, 2023, 'SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics', in Proceedings - International Conference on Software Engineering, pp. 1946 - 1957, http://dx.doi.org/10.1109/ICSE48619.2023.00165
Sun J; Xing Z; Lu Q; Xu X; Zhu L; Hoang T; Zhao D, 2023, 'Silent Vulnerable Dependency Alert Prediction with Vulnerability Key Aspect Explanation', in Proceedings - International Conference on Software Engineering, pp. 970 - 982, http://dx.doi.org/10.1109/ICSE48619.2023.00089
Su Y; Han Z; Xing Z; Xu X; Zhu L; Lu Q, 2023, 'SoapOperaTG: A Tool for System Knowledge Graph Based Soap Opera Test Generation', in Proceedings - International Conference on Software Engineering, pp. 51 - 54, http://dx.doi.org/10.1109/ICSE-Companion58688.2023.00023
Zhu L, 2023, 'Software Engineering as the Linchpin of Responsible AI', in Proceedings - International Conference on Software Engineering, pp. 3 - 4, http://dx.doi.org/10.1109/ICSE48619.2023.00012
Xia B; Lu Q; Perera H; Zhu L; Xing Z; Liu Y; Whittle J, 2023, 'Towards Concrete and Connected AI Risk Assessment (C2AIRA): A Systematic Mapping Study', in Proceedings - 2023 IEEE/ACM 2nd International Conference on AI Engineering - Software Engineering for AI, CAIN 2023, pp. 104 - 116, http://dx.doi.org/10.1109/CAIN58948.2023.00027
Zhang Z; Xing Z; Xia X; Xu X; Zhu L, 2022, 'Making Python code idiomatic by automatic refactoring non-idiomatic Python code with pythonic idioms', in ESEC/FSE 2022 - Proceedings of the 30th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 696 - 708, http://dx.doi.org/10.1145/3540250.3549143
Xie M; Xing Z; Feng S; Xu X; Zhu L; Chen C, 2022, 'Psychologically-inspired, unsupervised inference of perceptual groups of GUI widgets from GUI images', in ESEC/FSE 2022 - Proceedings of the 30th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 332 - 343, http://dx.doi.org/10.1145/3540250.3549138
Su Y; Han Z; Xing Z; Xia X; Xu X; Zhu L; Lu Q, 2022, 'Constructing a System Knowledge Graph of User Tasks and Failures from Bug Reports to Support Soap Opera Testing', in ACM International Conference Proceeding Series, http://dx.doi.org/10.1145/3551349.3556967
Huang Q; Yuan Z; Xing Z; Xu X; Zhu L; Lu Q, 2022, 'Prompt-tuned Code Language Model as a Neural Knowledge Base for Type Inference in Statically-Typed Partial Code', in ACM International Conference Proceeding Series, http://dx.doi.org/10.1145/3551349.3556912
Liu Y; Lu Q; Yu G; Paik HY; Perera H; Zhu L, 2022, 'A Pattern Language for Blockchain Governance', in ACM International Conference Proceeding Series, http://dx.doi.org/10.1145/3551902.3564802
Xu X; Wang C; Wang ZJ; Lu Q; Zhu L, 2022, 'Dependency Tracking for Risk Mitigation in Machine Learning (ML) Systems', in 2022 ACM/IEEE 44TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: SOFTWARE ENGINEERING IN PRACTICE (ICSE-SEIP 2022), IEEE COMPUTER SOC, PA, Pittsburgh, pp. 145 - 146, presented at ACM/IEEE 44th International Conference on Software Engineering - Software Engineering in Practice (ICSE-SEIP), PA, Pittsburgh, 22 May 2022 - 27 May 2022, http://dx.doi.org/10.1145/3510457.3513058
Lu Q; Zhu L; Xu X; Whittle J; Douglas D; Sanderson C, 2022, 'Software engineering for responsible AI', in Proceedings of the 44th International Conference on Software Engineering: Software Engineering in Practice, ACM, presented at ICSE '22: 44th International Conference on Software Engineering, http://dx.doi.org/10.1145/3510457.3513063
Chia SY; Xu X; Paik HY; Zhu L, 2022, 'Analysis of Privacy Patterns from An Architectural Perspective', in 2022 IEEE 19th International Conference on Software Architecture Companion, ICSA-C 2022, pp. 60 - 67, http://dx.doi.org/10.1109/ICSA-C54293.2022.00056
Zhou G; Yao L; Xu X; Wang C; Zhu L, 2022, 'Cycle-Balanced Representation Learning For Counterfactual Inference', in Proceedings of the 2022 SIAM International Conference on Data Mining, SDM 2022, pp. 442 - 450
Xu X; Wang C; Wang ZJ; Lu Q; Zhu L, 2022, 'Dependency Tracking for Risk Mitigation in Machine Learning (ML) Systems', in Proceedings - International Conference on Software Engineering, pp. 145 - 146, http://dx.doi.org/10.1109/ICSE-SEIP55303.2022.9794111
Patel V; Rajasegarar S; Pan L; Liu J; Zhu L, 2022, 'EvAnGCN: Evolving Graph Deep Neural Network Based Anomaly Detection in Blockchain', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 444 - 456, http://dx.doi.org/10.1007/978-3-031-22064-7_32
Sun J; Xing Z; Xu X; Zhu L; Lu Q, 2022, 'Heterogeneous Vulnerability Report Traceability Recovery by Vulnerability Aspect Matching', in Proceedings - 2022 IEEE International Conference on Software Maintenance and Evolution, ICSME 2022, pp. 175 - 186, http://dx.doi.org/10.1109/ICSME55016.2022.00024
Lu Q; Zhu L; Xu X; Whittle J; Douglas D; Sanderson C, 2022, 'Software engineering for Responsible AI: An empirical study and operationalised patterns', in Proceedings - International Conference on Software Engineering, pp. 241 - 242, http://dx.doi.org/10.1109/ICSE-SEIP55303.2022.9793864
Lu Q; Zhu L; Xu X; Whittle J; Xing Z, 2022, 'Towards a Roadmap on Software Engineering for Responsible AI', in Proceedings - 1st International Conference on AI Engineering - Software Engineering for AI, CAIN 2022, pp. 101 - 112, http://dx.doi.org/10.1145/3522664.3528607
Chen P; Lim CP; Gorod A; Zhu L, 2022, 'Towards a Taxonomy of Approaches to Modern Complex Systems', in 2022 17th Annual System of Systems Engineering Conference, SOSE 2022, pp. 410 - 415, http://dx.doi.org/10.1109/SOSE55472.2022.9812661
Sanderson C; Lu Q; Douglas D; Xu X; Zhu L; Whittle J, 2022, 'Towards Implementing Responsible AI', in Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022, pp. 5076 - 5081, http://dx.doi.org/10.1109/BigData55660.2022.10021121
Chen X; Yao L; Sun A; Wang X; Xu X; Zhu L, 2021, 'Generative Inverse Deep Reinforcement Learning for Online Recommendation', in International Conference on Information and Knowledge Management, Proceedings, pp. 201 - 210, http://dx.doi.org/10.1145/3459637.3482347
Ren X; Ye X; Xing Z; Xia X; Xu X; Zhu L; Sun J, 2021, 'KGAMD: An API-misuse detector driven by fine-grained API-constraint knowledge graph', in ESEC/FSE 2021 - Proceedings of the 29th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 1515 - 1519, http://dx.doi.org/10.1145/3468264.3473112
Bednarz T; Mathews A; Filonik D; Hughes RT; Chen D; Zhu L, 2021, 'Visual analytics for large networks: Theory, art and practice', in ACM SIGGRAPH 2021 Courses, SIGGRAPH 2021, http://dx.doi.org/10.1145/3450508.3464558
Lu Q; Xu X; Bandara HMND; Chen S; Zhu L, 2021, 'Patterns for Blockchain-Based Payment Applications', in ACM International Conference Proceeding Series, http://dx.doi.org/10.1145/3489449.3490006
Zhang D; Xu X; Zhu L; Paik HY, 2021, 'A process adaptation framework for blockchain-based supply chain management', in IEEE International Conference on Blockchain and Cryptocurrency, ICBC 2021
Chia SY; Xu X; Paik HY; Zhu L, 2021, 'Analysing and extending privacy patterns with architectural context', in Proceedings of the ACM Symposium on Applied Computing, pp. 1390 - 1398, http://dx.doi.org/10.1145/3412841.3442014
Shanmugarasa Y; Paik HY; Kanhere SS; Zhu L, 2021, 'Towards Automated Data Sharing in Personal Data Stores', in 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021, pp. 328 - 331, http://dx.doi.org/10.1109/PerComWorkshops51409.2021.9431001