By Dr Liming Zhu

Conference Papers

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

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

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

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

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

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

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

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

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

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

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

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

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

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 Z; Lu Q; Zhu L, 2022, 'Dependency tracking for risk mitigation in machine learning (ML) systems', Association for Computing Machinery (ACM), pp. 145 - 146, presented at Proceedings of the 44th International Conference on Software Engineering: Software Engineering in Practice, 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', Association for Computing Machinery (ACM), pp. 241 - 242, presented at Proceedings of the 44th International Conference on Software Engineering: Software Engineering in Practice, 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, http://dx.doi.org/10.1137/1.9781611977172.50

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; 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

Dong M; Yao L; Wang X; Xu X; Zhu L, 2021, 'MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta Learning', in Proceedings IEEE International Conference on Data Mining Icdm, pp. 101 - 110, http://dx.doi.org/10.1109/ICDM51629.2021.00020

Su Y; Xing Z; Peng X; Xia X; Wang C; Xu X; Zhu L, 2021, 'Reducing Bug Triaging Confusion by Learning from Mistakes with a Bug Tossing Knowledge Graph', in Proceedings 2021 36th IEEE ACM International Conference on Automated Software Engineering Ase 2021, pp. 191 - 202, http://dx.doi.org/10.1109/ASE51524.2021.9678574

Sun J; Xing Z; Peng X; Xu X; Zhu L, 2021, 'Task-Oriented API Usage Examples Prompting Powered by Programming Task Knowledge Graph', in Proceedings 2021 IEEE International Conference on Software Maintenance and Evolution Icsme 2021, pp. 448 - 459, http://dx.doi.org/10.1109/ICSME52107.2021.00046

Hughes R; Edmond C; Wells L; Glencross M; Zhu L; Bednarz T, 2020, 'EXplainable AI (XAI): An introduction to the XAI landscape with practical examples', in SIGGRAPH Asia 2020 Courses SA 2020, Association for Computing Machinery (ACM), pp. 1 - 62, presented at SIGGRAPH Asia 2020 Courses, http://dx.doi.org/10.1145/3415263.3419166

Chen J; Xie M; Xing Z; Chen C; Xu X; Zhu L; Li G, 2020, 'Object detection for graphical user interface: Old fashioned or deep learning or a combination?', in Esec Fse 2020 Proceedings of the 28th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 1202 - 1214, http://dx.doi.org/10.1145/3368089.3409691

Ren X; Ye X; Xing Z; Xia X; Xu X; Zhu L; Sun J, 2020, 'API-Misuse Detection Driven by Fine-Grained API-Constraint Knowledge Graph', in Proceedings 2020 35th IEEE ACM International Conference on Automated Software Engineering Ase 2020, pp. 461 - 472, http://dx.doi.org/10.1145/3324884.3416551

Dong M; Yuan F; Yao L; Xu X; Zhu L, 2020, 'MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation', in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 688 - 697, http://dx.doi.org/10.1145/3394486.3403113

Zhao D; Xing Z; Chen C; Xu X; Zhu L; Li G; Wang J, 2020, 'Seenomaly: Vision-based linting of gui animation effects against design-don't guidelines', in Proceedings International Conference on Software Engineering, pp. 1286 - 1297, http://dx.doi.org/10.1145/3377811.3380411

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