By Dr Liming Zhu

Preprints

Zhou J; Lu Q; Chen J; Zhu L; Xu X; Xing Z; Harrer S, 2024, A Taxonomy of Architecture Options for Foundation Model-based Agents: Analysis and Decision Model, http://dx.doi.org/10.48550/arxiv.2408.02920

Xia B; Lu Q; Zhu L; Xing Z, 2024, An AI System Evaluation Framework for Advancing AI Safety: Terminology, Taxonomy, Lifecycle Mapping, http://dx.doi.org/10.48550/arxiv.2404.05388

Zhang D; Xia B; Liu Y; Xu X; Hoang T; Xing Z; Staples M; Lu Q; Zhu L, 2023, Navigating Privacy and Copyright Challenges Across the Data Lifecycle of Generative AI, http://dx.doi.org/10.48550/arxiv.2311.18252

Lu Q; Zhu L; Xu X; Xing Z; Harrer S; Whittle J, 2023, Towards Responsible Generative AI: A Reference Architecture for Designing Foundation Model based Agents, http://dx.doi.org/10.48550/arxiv.2311.13148

Shanmugarasa Y; Chamikara MAP; Paik H-Y; Kanhere SS; Zhu L, 2023, Local Differential Privacy for Smart Meter Data Sharing, http://dx.doi.org/10.48550/arxiv.2311.04544

Zhang D; Pan S; Hoang T; Xing Z; Staples M; Xu X; Yao L; Lu Q; Zhu L, 2023, To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods, http://dx.doi.org/10.1007/s43681-023-00398-y

Xia B; Lu Q; Perera H; Zhu L; Xing Z; Liu Y; Whittle J, 2023, Towards Concrete and Connected AI Risk Assessment (C$^2$AIRA): A Systematic Mapping Study, http://dx.doi.org/10.48550/arxiv.2301.11616

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, http://dx.doi.org/10.48550/arxiv.2301.05362

Liu Y; Lu Q; Yu G; Paik H-Y; Zhu L, 2022, BGRA: A Reference Architecture for Blockchain Governance, http://dx.doi.org/10.48550/arxiv.2211.04811

Lu Q; Zhu L; Xu X; Whittle J; Zowghi D; Jacquet A, 2022, Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering, http://dx.doi.org/10.48550/arxiv.2209.04963

Xie M; Xing Z; Feng S; Chen C; Zhu L; Xu X, 2022, Psychologically-Inspired, Unsupervised Inference of Perceptual Groups of GUI Widgets from GUI Images, http://dx.doi.org/10.48550/arxiv.2206.10352

Sanderson C; Lu Q; Douglas D; Xu X; Zhu L; Whittle J, 2022, Towards Implementing Responsible AI, http://dx.doi.org/10.48550/arxiv.2205.04358

Lo SK; Lu Q; Paik H-Y; Zhu L, 2022, Decision Models for Selecting Federated Learning Architecture Patterns, http://arxiv.org/abs/2204.13291v3

Liu Y; Lu Q; Yu G; Paik H-Y; Perera H; Zhu L, 2022, A Pattern Language for Blockchain Governance, http://dx.doi.org/10.48550/arxiv.2203.00268

Lu Q; Zhu L; Xu X; Whittle J; Douglas D; Sanderson C, 2021, Software Engineering for Responsible AI: An Empirical Study and Operationalised Patterns, http://dx.doi.org/10.48550/arxiv.2111.09478

Lo SK; Liu Y; Lu Q; Wang C; Xu X; Paik H-Y; Zhu L, 2021, Blockchain-based Trustworthy Federated Learning Architecture, http://arxiv.org/abs/2108.06912v2

Lo SK; Lu Q; Paik H-Y; Zhu L, 2021, FLRA: A Reference Architecture for Federated Learning Systems, http://arxiv.org/abs/2106.11570v1

Zhu L; Xu X; Lu Q; Governatori G; Whittle J, 2021, AI and Ethics -- Operationalising Responsible AI, http://dx.doi.org/10.48550/arxiv.2105.08867

Liu Y; Lu Q; Zhu L; Paik H-Y; Staples M, 2021, A Systematic Literature Review on Blockchain Governance, http://arxiv.org/abs/2105.05460v3

Chen J; Chen C; Xing Z; Xia X; Zhu L; Grundy J; Wang J, 2021, Wireframe-Based UI Design Search Through Image Autoencoder, http://dx.doi.org/10.48550/arxiv.2103.07085

Lu Q; Xu X; Bandara HMND; Chen S; Zhu L, 2021, Patterns for Blockchain-Based Payment Applications, http://dx.doi.org/10.48550/arxiv.2102.09810

Lo SK; Lu Q; Zhu L; Paik H-Y; Xu X; Wang C, 2021, Architectural Patterns for the Design of Federated Learning Systems, http://arxiv.org/abs/2101.02373v3

Zhang W; Lu Q; Yu Q; Li Z; Liu Y; Lo SK; Chen S; Xu X; Zhu L, 2020, Blockchain-based Federated Learning for Device Failure Detection in Industrial IoT, http://dx.doi.org/10.48550/arxiv.2009.02643

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?, http://dx.doi.org/10.48550/arxiv.2008.05132

Lo SK; Lu Q; Wang C; Paik H-Y; Zhu L, 2020, A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective, http://dx.doi.org/10.1145/3450288

Lu Q; Tran AB; Weber I; O'Connor H; Rimba P; Xu X; Staples M; Zhu L; Jeffery R, 2020, Integrated Model-Driven Engineering of Blockchain Applications for Business Processes and Asset Management, http://dx.doi.org/10.48550/arxiv.2005.12685

Liu Y; Lu Q; Paik H-Y; Xu X; Chen S; Zhu L, 2020, Design-Pattern-as-a-Service for Blockchain-based Self-Sovereign Identity, http://dx.doi.org/10.48550/arxiv.2005.01346

Chen J; Chen C; Xing Z; Xu X; Zhu L; Li G; Wang J, 2020, Unblind Your Apps: Predicting Natural-Language Labels for Mobile GUI Components by Deep Learning, http://dx.doi.org/10.48550/arxiv.2003.00380

Lu Q; Xu X; Liu Y; Weber I; Zhu L; Zhang W, 2019, uBaaS: A Unified Blockchain as a Service Platform, http://dx.doi.org/10.48550/arxiv.1907.13293

Wu H; Wang C; Tyshetskiy Y; Docherty A; Lu K; Zhu L, 2019, Adversarial Examples on Graph Data: Deep Insights into Attack and Defense, http://dx.doi.org/10.48550/arxiv.1903.01610

Shahin M; Zahedi M; Babar MA; Zhu L, 2018, An Empirical Study of Architecting for Continuous Delivery and Deployment, http://dx.doi.org/10.48550/arxiv.1808.08796

Shahin M; Babar MA; Zhu L, 2017, Continuous Integration, Delivery and Deployment: A Systematic Review on Approaches, Tools, Challenges and Practices, http://dx.doi.org/10.48550/arxiv.1703.07019

Liu Y; Lu Q; Zhu L; Paik H-Y; Staples M, A Systematic Literature Review on Blockchain Governance, http://dx.doi.org/10.2139/ssrn.3981282

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