By Dr Liming Zhu

Books

Bass L; Weber I; Zhu L, 2015, Devops A Software Architect's Perspective, Addison-Wesley Professional

Book Chapters

Wang J; Wang M; Zhou Y; Xing Z; Liu Q; Xu X; Li B; Saydam S; Zhang W; Zhu L, 2027, 'LLM-Based HSE Compliance Assessment: Benchmark, Performance, and Advancements', in , pp. 507 - 536, http://dx.doi.org/10.1007/978-981-92-2480-7_31

Xu X; Pautasso C; Lo SK; Zhu L; Lu Q; Weber I, 2025, 'An Extended Pattern Collection for Blockchain-Based Applications', in Lecture Notes in Computer Science, pp. 67 - 117, http://dx.doi.org/10.1007/978-3-662-70810-1_2

Zhu L; Xu X; Lu Q; Governatori G; Whittle J, 2022, 'AI and Ethics—Operationalizing Responsible AI', in Humanity Driven AI, Springer Nature, pp. 15 - 33, http://dx.doi.org/10.1007/978-3-030-72188-6_2

Zhang S; Yao L; Sun A; Guo G; Xu X; Zhu L, 2019, 'Deep neural networks meet recommender systems', in Khalid O; Khan SU; Zomaya AY (ed.), Big Data Recommender Systems Application Paradigms, pp. 9 - 33, http://dx.doi.org/10.1049/PBPC035G_ch2

Wu D; Sakr S; Zhu L, 2017, 'Big data programming models', in Handbook of Big Data Technologies, pp. 31 - 63, http://dx.doi.org/10.1007/978-3-319-49340-4_2

Wu D; Sakr S; Zhu L, 2017, 'Big data storage and data models', in Handbook of Big Data Technologies, pp. 3 - 29, http://dx.doi.org/10.1007/978-3-319-49340-4_1

Lu Q; Xu X; Tosic V; Zhu L, 2012, 'Application of Business-Driven Decision Making to RESTful Business Processes', in Service-Oriented Computing, Springer Nature, pp. 404 - 419, http://dx.doi.org/10.1007/978-3-642-34321-6_27

Zhu L, 'Model-Driven Architecture', in Essential Software Architecture, Springer Berlin Heidelberg, pp. 197 - 215, http://dx.doi.org/10.1007/3-540-28714-0_11

Journal articles

Xia B; Liu Y; Lu Q; Zhu L; Sejdinovic D; Xu X, 2026, 'AgentOps Pattern Catalogue: Architectural patterns for safe and observable operations of foundation model-based agents', Information and Software Technology, 200, http://dx.doi.org/10.1016/j.infsof.2026.108307

Zhou G; Xie S; Hao GY; Chen S; Huang B; Xu X; Wang C; Zhu L; Yao L; Zhang K, 2026, 'Emerging Synergies in Causality and Deep Generative Models: A Survey', IEEE Transactions on Artificial Intelligence, 7, pp. 3634 - 3652, http://dx.doi.org/10.1109/TAI.2025.3646958

Lee SU; Perera H; Liu Y; Xia B; Lu Q; Zhu L; Salvado O; Whittle J, 2026, 'Responsible AI Question Bank for Risk Assessment', ACM Computing Surveys, 58, http://dx.doi.org/10.1145/3790096

Zhang Z; Gan Y; Xing Z; Zhang T; Li Y; Lu Q; Xu S; Zhu L, 2026, 'Still Manual? Automated Linter Configuration via DSL-Based LLM Compilation of Coding Standards', Proceedings of the ACM on Software Engineering, 3, pp. 23 - 45, http://dx.doi.org/10.1145/3797064

Klymenko M; Hoang T; Wilkinson SA; Goldozian B; Ma S; Xu X; Lu Q; Usman M; Zhu L, 2026, 'Context-aware unit testing for quantum subroutines', Quantum Science and Technology, 11, http://dx.doi.org/10.1088/2058-9565/ae629e

Chen J; Wang Z; Sun J; Xing Z; Lu Q; Huang Q; Xu X; Zhu L, 2026, 'From Exploration to Revelation: App-Level Context-Aware Deceptive Pattern Detection for Mobile Applications', ACM Transactions on Software Engineering and Methodology, http://dx.doi.org/10.1145/3815579

Bano M; Zowghi D; Whittle J; Zhu L, 2026, 'Lessons Learned from the M365 AI Copilot Trial', IEEE Software, 43, pp. 34 - 41, http://dx.doi.org/10.1109/MS.2026.3654785

Kan S; Li Y; He W; Xing Z; Zhu L; Sui Y, 2026, 'Spectre: Automated Aliasing Specification Generation for Library APIs with Fuzzing', ACM Transactions on Software Engineering and Methodology, 35, http://dx.doi.org/10.1145/3725811

Lu Q; Zhao D; Liu Y; Zhang H; Zhu L; Xu X; Shi A; Tan T; Kazman R, 2026, 'AgentArcEval: An architecture evaluation method for foundation model based agents', Journal of Systems and Software, 232, http://dx.doi.org/10.1016/j.jss.2025.112656

Perera H; Lee SU; Liu Y; Xia B; Lu Q; Zhu L; Cairns J; Nottage M, 2026, 'Achieving Responsible AI through ESG: Insights and Recommendations from Industry Engagement', IEEE Software, http://dx.doi.org/10.1109/MS.2026.3689573

Sun J; Ma S; Zhang H; Lu Q; Zhu L, 2026, 'AI Safety Evaluation: Lessons from International Multilingual Joint Testing', IEEE Software, http://dx.doi.org/10.1109/MS.2026.3715129

Zhou G; Han Z; Xie S; Chen S; Huang B; Zhu L; Gao X; Yao L; Khan S, 2026, 'From Small to Large: In-Context Learning as a New Paradigm for Domain Generalization', International Journal of Computer Vision, 134, http://dx.doi.org/10.1007/s11263-025-02618-w

Zhu L; Lu Q; Ding M; Lee SU; Wang C, 2026, 'Designing meaningful human oversight in AI', AI and Ethics, 6, pp. 286, http://dx.doi.org/10.1007/s43681-026-01147-7

Klymenko M; Hoang T; Xu X; Xing Z; Usman M; Lu Q; Zhu L, 2025, 'Architectural patterns for designing quantum artificial intelligence systems', Journal of Systems and Software, 227, http://dx.doi.org/10.1016/j.jss.2025.112456

Su Y; Xing Z; Wang C; Chen C; Xu S; Lu Q; Zhu L, 2025, 'Automated Soap Opera Testing Directed by LLMs and Scenario Knowledge: Feasibility, Challenges, and Road Ahead', Proceedings of the ACM on Software Engineering, 2, pp. 757 - 778, http://dx.doi.org/10.1145/3715752

Nguyen TL; Nguyen L; Hoang T; Bandara D; Wang Q; Lu Q; Xu X; Zhu L; Chen S, 2025, 'Blockchain-Empowered Trustworthy Data Sharing: Fundamentals, Applications, and Challenges', ACM Computing Surveys, 57, http://dx.doi.org/10.1145/3718082

Liu Y; Lo SK; Lu Q; Zhu L; Zhao D; Xu X; Harrer S; Whittle J, 2025, 'Agent design pattern catalogue: A collection of architectural patterns for foundation model based agents', Journal of Systems and Software, 220, http://dx.doi.org/10.1016/j.jss.2024.112278

Zhang Z; Bao Z; Zhao D; Lu Q; Long G; Jiang J; Zhu L, 2025, 'FedPattern: A Communication Efficient Federated Pattern Learning Agent Framework for Cyber-Physical-Social Systems', IEEE Transactions on Computational Social Systems, http://dx.doi.org/10.1109/TCSS.2025.3634841

Zhou G; Han Z; Chen S; Huang B; Zhu L; Liu T; Yao L; Zhang K, 2025, 'HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization', IEEE Transactions on Multimedia, 27, pp. 1142 - 1152, http://dx.doi.org/10.1109/TMM.2024.3521719

Lee SU; Perera H; Xia B; Liu Y; Lu Q; Zhu L; Salvado O; Whittle J, 2025, 'QB4AIRA: A Question Bank for Responsible AI Risk Assessment', IEEE Software, 42, pp. 115 - 124, http://dx.doi.org/10.1109/MS.2024.3512577

Lee SU; Perera H; Liu Y; Xia B; Lu Q; Zhu L; Cairns J; Nottage M, 2025, 'Integrating ESG and AI: a comprehensive responsible AI assessment framework', AI and Ethics, 5, pp. 5121 - 5148, http://dx.doi.org/10.1007/s43681-025-00741-5

Tao Z; Pan S; Xing Z; Sun X; Haggag O; Grundy J; Li J; Zhu L, 2025, 'Privacy Bills of Materials (PriBOM): A Transparent Privacy Information Inventory for Collaborative Privacy Notice Generation in Mobile App Development', Proceedings on Privacy Enhancing Technologies, 2025, pp. 392 - 409, http://dx.doi.org/10.56553/popets-2025-0136

Lu Q; Zhu L; Xu X; Whittle J; Zowghi D; Jacquet A, 2024, 'Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering', ACM Computing Surveys, 56, http://dx.doi.org/10.1145/3626234

Bi T; Xia B; Xing Z; Lu Q; Zhu L, 2024, 'On the Way to SBOMs: Investigating Design Issues and Solutions in Practice', ACM Transactions on Software Engineering and Methodology, 33, http://dx.doi.org/10.1145/3654442

Zhang Z; Xing Z; Zhao D; Xu X; Zhu L; Lu Q, 2024, 'Automated Refactoring of Non-Idiomatic Python Code With Pythonic Idioms', IEEE Transactions on Software Engineering, 50, pp. 2827 - 2848, http://dx.doi.org/10.1109/TSE.2024.3420886

Liu Y; Lu Q; Zhu L; Paik HY, 2024, 'Decentralized Governance-Driven Architecture for Designing Foundation-Model-Based Systems: Exploring the Role of Blockchain in Responsible AI', IEEE Software, 41, pp. 34 - 42, http://dx.doi.org/10.1109/MS.2024.3369551

Lu Q; Zhu L; Xu X; Xing Z; Whittle J, 2024, 'Toward Responsible AI in the Era of Generative AI: A Reference Architecture for Designing Foundation Model-Based Systems', IEEE Software, 41, pp. 91 - 100, http://dx.doi.org/10.1109/MS.2024.3406333

Zhang D; Pan S; Hoang T; Xing Z; Staples M; Xu X; Yao L; Lu Q; Zhu L, 2024, 'To be forgotten or to be fair: unveiling fairness implications of machine unlearning methods', AI and Ethics, 4, pp. 83 - 93, http://dx.doi.org/10.1007/s43681-023-00398-y

Sun J; Xing Z; Xia X; Lu Q; Xu X; Zhu L, 2023, 'Aspect-level Information Discrepancies across Heterogeneous Vulnerability Reports: Severity, Types and Detection Methods', ACM Transactions on Software Engineering and Methodology, 33, http://dx.doi.org/10.1145/3624734

Shanmugarasa Y; Paik HY; Kanhere SS; Zhu L, 2023, 'A systematic review of federated learning from clients’ perspective: challenges and solutions', Artificial Intelligence Review, 56, pp. 1773 - 1827, http://dx.doi.org/10.1007/s10462-023-10563-8

Yu G; Wang X; Ni W; Lu Q; Xu X; Liu RP; Zhu L, 2023, 'Adaptive Resource Scheduling in Permissionless Sharded-Blockchains: A Decentralized Multiagent Deep Reinforcement Learning Approach', IEEE Transactions on Systems Man and Cybernetics Systems, 53, pp. 7256 - 7268, http://dx.doi.org/10.1109/TSMC.2023.3296614

Lu Q; Luo Y; Zhu L; Tang M; Xu X; Whittle J, 2023, 'Developing Responsible Chatbots for Financial Services: A Pattern-Oriented Responsible Artificial Intelligence Engineering Approach', IEEE Intelligent Systems, 38, pp. 42 - 51, http://dx.doi.org/10.1109/MIS.2023.3320437

Lu Q; Zhu L; Xu X; Whittle J; Zowghi D; Jacquet A, 2023, 'Operationalizing Responsible AI at Scale: CSIRO Data61's Pattern-Oriented Responsible AI Engineering Approach', Communications of the ACM, 66, pp. 64 - 66, http://dx.doi.org/10.1145/3589946

Dong M; Yao L; Wang X; Xu X; Zhu L, 2023, 'Adversarial dual autoencoders for trust-aware recommendation', Neural Computing and Applications, 35, pp. 13065 - 13075, http://dx.doi.org/10.1007/s00521-021-05722-3

Lu Q; Zhu L; Xu X; Whittle J, 2023, 'Responsible-AI-by-Design: A Pattern Collection for Designing Responsible Artificial Intelligence Systems', IEEE Software, 40, pp. 63 - 71, http://dx.doi.org/10.1109/MS.2022.3233582

Lu Q; Zhu L; Whittle J; Michael JB, 2023, 'Software Engineering for Responsible AI', Computer, 56, pp. 13 - 16, http://dx.doi.org/10.1109/MC.2023.3242055

Liu Y; Lu Q; Zhu L; Paik HY; Staples M, 2023, 'A systematic literature review on blockchain governance', Journal of Systems and Software, 197, http://dx.doi.org/10.1016/j.jss.2022.111576

Lo SK; Liu Y; Lu Q; Wang C; Xu X; Paik HY; Zhu L, 2023, 'Toward Trustworthy AI: Blockchain-Based Architecture Design for Accountability and Fairness of Federated Learning Systems', IEEE Internet of Things Journal, 10, pp. 3276 - 3284, http://dx.doi.org/10.1109/JIOT.2022.3144450

Liu Y; Lu Q; Yu G; Paik HY; Zhu L, 2022, 'Defining blockchain governance principles: A comprehensive framework', Information Systems, 109, http://dx.doi.org/10.1016/j.is.2022.102090

Lo SK; Lu Q; Zhu L; Paik HY; Xu X; Wang C, 2022, 'Architectural patterns for the design of federated learning systems', Journal of Systems and Software, 191, http://dx.doi.org/10.1016/j.jss.2022.111357

Dong M; Yuan F; Yao L; Wang X; Xu X; Zhu L, 2022, 'A survey for trust-aware recommender systems: A deep learning perspective', Knowledge Based Systems, 249, http://dx.doi.org/10.1016/j.knosys.2022.108954

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