By Dr Liming Zhu

Preprints

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

Lu Q; Zhu L; Xu X; Whittle J; Zowghi D; Jacquet A, 2023, Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering, http://dx.doi.org/10.48550/arxiv.2209.04963

Zhuo TY; Du X; Xing Z; Sun J; Quan H; Li L; Zhu L, 2023, Pop Quiz! Do Pre-trained Code Models Possess Knowledge of Correct API Names?, http://dx.doi.org/10.48550/arxiv.2309.07804

Zhou G; Huang C; Chen X; Xu X; Wang C; Zhu L; Yao L, 2023, Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems, http://dx.doi.org/10.48550/arxiv.2208.06746

Hoang T; Dam HK; Bi T; Lu Q; Xing Z; Zhu L; Nguyen LD; Chen S, 2023, Quantum Software Analytics: Opportunities and Challenges, http://dx.doi.org/10.48550/arxiv.2307.11305

Lee SU; Perera H; Xia B; Liu Y; Lu Q; Zhu L; Salvado O; Whittle J, 2023, QB4AIRA: A Question Bank for AI Risk Assessment, http://dx.doi.org/10.48550/arxiv.2305.09300

Lo SK; Liu Y; Yu G; Lu Q; Xu X; Zhu L, 2023, Distributed Trust Through the Lens of Software Architecture, http://dx.doi.org/10.48550/arxiv.2306.08056

Xie M; Xing Z; Feng S; Chen C; Zhu L; Xu X, 2023, Psychologically-Inspired, Unsupervised Inference of Perceptual Groups of GUI Widgets from GUI Images, http://dx.doi.org/10.48550/arxiv.2206.10352

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

Lo SK; Lu Q; Paik H-Y; Zhu L, 2023, Decision Models for Selecting Federated Learning Architecture Patterns, http://dx.doi.org/10.48550/arxiv.2204.13291

Sanderson C; Lu Q; Douglas D; Xu X; Zhu L; Whittle J, 2023, Towards Implementing Responsible AI, http://dx.doi.org/10.48550/arxiv.2205.04358

Nguyen LT; Nguyen LD; Hoang T; Bandara D; Wang Q; Lu Q; Xu X; Zhu L; Popovski P; Chen S, 2023, Blockchain-Empowered Trustworthy Data Sharing: Fundamentals, Applications, and Challenges, http://dx.doi.org/10.48550/arxiv.2303.06546

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

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

Liu Y; Lu Q; Yu G; Paik H-Y; Zhu L, 2022, Defining Blockchain Governance Principles: A Comprehensive Framework, http://dx.doi.org/10.48550/arxiv.2110.13374

Liu Y; Lu Q; Zhu L; Paik H-Y; Staples M, 2022, A Systematic Literature Review on Blockchain Governance, http://dx.doi.org/10.48550/arxiv.2105.05460

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://dx.doi.org/10.48550/arxiv.2108.06912

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; Paik H-Y; Zhu L, 2021, FLRA: A Reference Architecture for Federated Learning Systems, http://dx.doi.org/10.48550/arxiv.2106.11570

Lo SK; Lu Q; Zhu L; Paik H-Y; Xu X; Wang C, 2021, Architectural Patterns for the Design of Federated Learning Systems, http://dx.doi.org/10.48550/arxiv.2101.02373

Lo SK; Lu Q; Wang C; Paik H-Y; Zhu L, 2021, A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective, http://dx.doi.org/10.48550/arxiv.2007.11354

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

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

Liu Y; Lu Q; Zhu L; Paik H-Y; Staples M, 2021, A Systematic Literature Review on Blockchain Governance, http://dx.doi.org/10.2139/ssrn.3981282

Chen X; Yao L; Sun A; Wang X; Xu X; Zhu L, 2020, Generative Inverse Deep Reinforcement Learning for Online Recommendation, http://dx.doi.org/10.48550/arxiv.2011.02248

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

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

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

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

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

Zhang S; Yao L; Tay Y; Xu X; Zhang X; Zhu L, 2018, Metric Factorization: Recommendation beyond Matrix Factorization, http://dx.doi.org/10.48550/arxiv.1802.04606

Zhang S; Yao L; Xu X; Wang S; Zhu L, 2017, Hybrid Collaborative Recommendation via Semi-AutoEncoder, http://dx.doi.org/10.48550/arxiv.1706.04453

Mendling J; Weber I; Aalst WVD; Brocke JV; Cabanillas C; Daniel F; Debois S; Ciccio CD; Dumas M; Dustdar S; Gal A; Garcia-Banuelos L; Governatori G; Hull R; Rosa ML; Leopold H; Leymann F; Recker J; Reichert M; Reijers HA; Rinderle-Ma S; Rogge-Solti A; Rosemann M; Schulte S; Singh MP; Slaats T; Staples M; Weber B; Weidlich M; Weske M; Xu X; Zhu L, 2017, Blockchains for Business Process Management - Challenges and Opportunities, https://arxiv.org/abs/1704.03610v3

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

Xing Z; Huang Q; Cheng Y; Zhu L; Qinghua L; Xiwei X, Prompt Sapper: LLM-Empowered Software Engineering Infrastructure for AI-Native Services, http://dx.doi.org/10.36227/techrxiv.23298488.v1

Back to profile page