By Dr Liming Zhu

Conference Papers

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 Proceedings of the 44th International Conference on Software Engineering: Software Engineering in Practice, ACM, pp. 145 - 146, presented at ICSE '22: 44th International Conference on Software Engineering, 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

Xu X; Dilum Bandara HMN; Lu Q; Weber I; Bass L; Zhu L, 2021, 'A Decision Model for Choosing Patterns in Blockchain-Based Applications', in Proceedings - IEEE 18th International Conference on Software Architecture, ICSA 2021, pp. 47 - 57, http://dx.doi.org/10.1109/ICSA51549.2021.00013

Qi M; Wang Z; Wu F; Hanson R; Chen S; Xiang Y; Zhu L, 2021, 'A Blockchain-Enabled Federated Learning Model for Privacy Preservation: System Design', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 473 - 489, http://dx.doi.org/10.1007/978-3-030-90567-5_24

Ao S; Zhou T; Long G; Lu Q; Zhu L; Jiang J, 2021, 'CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum', in Advances in Neural Information Processing Systems, pp. 10444 - 10456

Lo SK; Lu Q; Paik HY; Zhu L, 2021, 'FLRA: A Reference Architecture for Federated Learning Systems', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 83 - 98, http://dx.doi.org/10.1007/978-3-030-86044-8_6

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