By Dr Liming Zhu

Books

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

Book Chapters

Zhu L; Xu X; Lu Q; Governatori G; Whittle J, 2022, 'AI and Ethics—Operationalizing Responsible AI', in Humanity Driven AI, Springer International Publishing, 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, INST ENGINEERING TECH-IET, 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 Berlin Heidelberg, 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

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, pp. 111576 - 111576, 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

Shanmugarasa Y; Paik HY; Kanhere SS; Zhu L, 2023, 'A systematic review of federated learning from clients’ perspective: challenges and solutions', Artificial Intelligence Review, 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, http://dx.doi.org/10.1109/TSMC.2023.3296614

Liu Y; Lu Q; Yu G; Paik HY; Zhu L, 2022, 'Defining blockchain governance principles: A comprehensive framework', Information Systems, 109, pp. 102090 - 102090, 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, pp. 111357 - 111357, 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, pp. 108954 - 108954, http://dx.doi.org/10.1016/j.knosys.2022.108954

Verma S; Wang C; Zhu L; Liu W, 2022, 'Attn-Hybrid Net: Improving Discriminability of Hybrid Features with Attention Fusion', IEEE Transactions on Cybernetics, 52, pp. 6567 - 6578, http://dx.doi.org/10.1109/TCYB.2021.3060176

Shanmugarasa Y; Paik HY; Kanhere SS; Zhu L, 2022, 'Automated Privacy Preferences for Smart Home Data Sharing Using Personal Data Stores', IEEE Security and Privacy, 20, pp. 12 - 22, http://dx.doi.org/10.1109/MSEC.2021.3106056

Shaw M; Zhu L, 2022, 'Can Software Engineering Harness the Benefits of Advanced AI?', IEEE Software, 39, pp. 99 - 104, http://dx.doi.org/10.1109/MS.2022.3203200

Lo SK; Lu Q; Wang C; Paik HY; Zhu L, 2021, 'A Systematic Literature Review on Federated Machine Learning: From a Sofware Engineering Perspective', ACM Computing Surveys, 54, pp. 1 - 39, http://dx.doi.org/10.1145/3450288

Lu Q; Binh Tran A; Weber I; O'Connor H; Rimba P; Xu X; Staples M; Zhu L; Jeffery R, 2021, 'Integrated model-driven engineering of blockchain applications for business processes and asset management', Software - Practice and Experience, 51, pp. 1059 - 1079, http://dx.doi.org/10.1002/spe.2931

Hughes R; Zhu L; Bednarz T, 2021, 'Generative Adversarial Networks–Enabled Human–Artificial Intelligence Collaborative Applications for Creative and Design Industries: A Systematic Review of Current Approaches and Trends', Frontiers in Artificial Intelligence, 4, http://dx.doi.org/10.3389/frai.2021.604234

Zhang W; Lu Q; Yu Q; Li Z; Liu Y; Lo SK; Chen S; Xu X; Zhu L, 2021, 'Blockchain-based federated learning for device failure detection in industrial iot', IEEE Internet of Things Journal, 8, pp. 5926 - 5937, http://dx.doi.org/10.1109/JIOT.2020.3032544

Lu Q; Binh Tran A; Weber I; O'Connor H; Rimba P; Xu X; Staples M; Zhu L; Jeffery R, 2021, 'Featured Cover', Software: Practice and Experience, 51, http://dx.doi.org/10.1002/spe.2975

Yang M; Chi Y; Mamaril K; Berry A; Shi X; Zhu L, 2020, 'Communication-based approach for promoting energy consumer switching: some evidence from ofgem⇔s database trials in the United Kingdom', Energies, 13, http://dx.doi.org/10.3390/EN13195179

Liu Y; Lu Q; Paik HY; Xu X; Chen S; Zhu L, 2020, 'Design Pattern as a Service for Blockchain-Based Self-Sovereign Identity', IEEE Software, 37, pp. 30 - 36, http://dx.doi.org/10.1109/MS.2020.2992783

Pautasso C; Zimmermann O; Zhu L; Bocek T; Larrucea X, 2020, 'Unchain or Block the Hype? : Decision Drivers, Success Factors, and Perspectives for Blockchain Adoption', IEEE Software, 37, pp. 97 - 103, http://dx.doi.org/10.1109/MS.2020.2999989

Chen J; Chen C; Xing Z; Xia X; Zhu L; Grundy J; Wang J, 2020, 'Wireframe-based UI Design Search through Image Autoencoder', ACM Transactions on Software Engineering and Methodology, 29, http://dx.doi.org/10.1145/3391613

Wu H; Wang C; Nock R; Wang W; Yin J; Lu K; Zhu L, 2020, 'SMINT: Toward interpretable and robust model sharing for deep neural networks', ACM Transactions on the Web, 14, http://dx.doi.org/10.1145/3381833

Zhang S; Yao L; Wu B; Xu X; Zhang X; Zhu L, 2020, 'Unraveling Metric Vector Spaces with Factorization for Recommendation', IEEE Transactions on Industrial Informatics, 16, pp. 732 - 742, http://dx.doi.org/10.1109/TII.2019.2947112

Avazpour I; Grundy J; Zhu L, 2019, 'Engineering complex data integration, harmonization and visualization systems', Journal of Industrial Information Integration, 16, http://dx.doi.org/10.1016/j.jii.2019.08.001

Lu Q; Xu X; Liu Y; Weber I; Zhu L; Zhang W, 2019, 'uBaaS: A unified blockchain as a service platform', Future Generation Computer Systems, 101, pp. 564 - 575, http://dx.doi.org/10.1016/j.future.2019.05.051

Shahin M; Zahedi M; Babar MA; Zhu L, 2019, 'An empirical study of architecting for continuous delivery and deployment', Empirical Software Engineering, 24, pp. 1061 - 1108, http://dx.doi.org/10.1007/s10664-018-9651-4

Sun D; Li G; Zhang Y; Zhu L; Gaire R, 2019, 'Statistically managing cloud operations for latency-tail-tolerance in IoT-enabled smart cities', Journal of Parallel and Distributed Computing, 127, pp. 184 - 195, http://dx.doi.org/10.1016/j.jpdc.2018.02.016

Xu X; Lu Q; Liu Y; Zhu L; Yao H; Vasilakos AV, 2019, 'Designing blockchain-based applications a case study for imported product traceability', Future Generation Computer Systems, 92, pp. 399 - 406, http://dx.doi.org/10.1016/j.future.2018.10.010

Cheng X; Zhu L; Zhao Z, 2019, 'Design and Implementation of Monitoring System for Extracurricular Physical Exercise Based on Energy Consumption Measurement', Journal of Advanced Computational Intelligence and Intelligent Informatics, 23, pp. 146 - 152, http://dx.doi.org/10.20965/jaciii.2019.p0146

Lo SK; Liu Y; Chia SY; Xu X; Lu Q; Zhu L; Ning H, 2019, 'Analysis of Blockchain Solutions for IoT: A Systematic Literature Review', IEEE Access, 7, pp. 58822 - 58835, http://dx.doi.org/10.1109/ACCESS.2019.2914675

Sun D; Fekete A; Gramoli V; Li G; Xu X; Zhu L, 2018, 'R²C: Robust Rolling-Upgrade in Clouds', IEEE Transactions on Dependable and Secure Computing, 15, pp. 811 - 823, http://dx.doi.org/10.1109/TDSC.2016.2615919

Yu B; Wright J; Nepal S; Zhu L; Liu J; Ranjan R, 2018, 'Trust chain: Establishing trust in the iot-based applications ecosystem using blockchain', IEEE Cloud Computing, 5, pp. 12 - 23, http://dx.doi.org/10.1109/MCC.2018.043221010

Wu H; Wang C; Fu Y; Sakr S; Lu K; Zhu L, 2018, 'A differentiated caching mechanism to enable primary storage deduplication in clouds', IEEE Transactions on Parallel and Distributed Systems, 29, pp. 1202 - 1216, http://dx.doi.org/10.1109/TPDS.2018.2790946

Wu D; Zhu L; Lu Q; Sakr S, 2018, 'HDM: A Composable Framework for Big Data Processing', IEEE TRANSACTIONS ON BIG DATA, 4, pp. 150 - 163, http://dx.doi.org/10.1109/TBDATA.2017.2690906

Li Z; Lu Q; Zhu L; Xu X; Liu Y; Zhang W, 2018, 'An Empirical Study of Cloud API Issues', IEEE Cloud Computing, 5, pp. 58 - 72, http://dx.doi.org/10.1109/MCC.2018.022171668

Mendling J; Weber I; Van Der Aalst W; Brocke JV; Cabanillas C; Daniel F; Debois S; Di Ciccio C; Dumas M; Dustdar S; Gal A; García-Bañuelos L; Governatori G; Hull R; La Rosa M; Leopold H; Leymann F; Recker J; Reichert M; Reijers HA; Rinderlema S; Solti A; Rosemann M; Schulte S; Singh MP; Slaats T; Staples M; Weber B; Weidlich M; Weske M; Xu X; Zhu L, 2018, 'Blockchains for business process management - Challenges and opportunities', ACM Transactions on Management Information Systems, 9, http://dx.doi.org/10.1145/3183367

Chen J; He Q; Ye D; Chen W; Xiang Y; Chiew K; Zhu L, 2017, 'Joint affinity aware grouping and virtual machine placement', Microprocessors and Microsystems, 52, pp. 365 - 380, http://dx.doi.org/10.1016/j.micpro.2016.12.006

Fu M; Zhu L; Sun D; Liu A; Bass L; Lu Q, 2017, 'Runtime recovery actions selection for sporadic operations on public cloud', Software - Practice and Experience, 47, pp. 223 - 248, http://dx.doi.org/10.1002/spe.2427

Shahin M; Ali Babar M; Zhu L, 2017, 'Continuous Integration, Delivery and Deployment: A Systematic Review on Approaches, Tools, Challenges and Practices', IEEE Access, 5, pp. 3909 - 3943, http://dx.doi.org/10.1109/ACCESS.2017.2685629

Weber I; Nepal S; Zhu L, 2016, 'Developing Dependable and Secure Cloud Applications', IEEE Internet Computing, 20, pp. 74 - 79, http://dx.doi.org/10.1109/MIC.2016.67

Zhu L; Bass L; Champlin-Scharff G, 2016, 'DevOps and Its Practices', IEEE Software, 33, pp. 32 - 34, http://dx.doi.org/10.1109/MS.2016.81

Sun D; Fu M; Zhu L; Li G; Lu Q, 2016, 'Non-Intrusive Anomaly Detection with Streaming Performance Metrics and Logs for DevOps in Public Clouds: A Case Study in AWS', IEEE Transactions on Emerging Topics in Computing, 4, pp. 278 - 289, http://dx.doi.org/10.1109/TETC.2016.2520883

Back to profile page