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ORCIDLiming Zhu 0001
Person information
- affiliation: CSIRO Data61, Sydney, NSW, Australia
- affiliation (PhD 2007): University of New South Wales, Sydney, NSW, Australia
Other persons with the same name
- Liming Zhu 0002
![[0000-0002-7161-4646]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-7161-4646")
— Yangzhou University, College of Hydraulic Science and Engineering, Yangzhou, China - Liming Zhu 0003 — China Tobacco Zhejiang Industrial Co. Ltd., China
- Liming Zhu 0004 — Advanced Laser Technology Laboratory of Anhui Province, Hefei, China (and 2 more)
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2020 – today
- 2023
[j57]Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, Didar Zowghi, Aurelie Jacquet:
Operationalizing Responsible AI at Scale: CSIRO Data61's Pattern-Oriented Responsible AI Engineering Approach. Commun. ACM 66(7): 64-66 (2023)- [j56]Qinghua Lu, Liming Zhu, Jon Whittle, James Bret Michael:
Software Engineering for Responsible AI. Computer 56(4): 13-16 (2023) - [j55]Sin Kit Lo, Yue Liu, Qinghua Lu, Chen Wang, Xiwei Xu, Hye-Young Paik, Liming Zhu:
Toward Trustworthy AI: Blockchain-Based Architecture Design for Accountability and Fairness of Federated Learning Systems. IEEE Internet Things J. 10(4): 3276-3284 (2023) - [j54]Yue Liu, Qinghua Lu, Liming Zhu, Hye-Young Paik, Mark Staples:
A systematic literature review on blockchain governance. J. Syst. Softw. 197: 111576 (2023) - [j53]Manqing Dong, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu:
Adversarial dual autoencoders for trust-aware recommendation. Neural Comput. Appl. 35(18): 13065-13075 (2023) - [j52]Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle:
Responsible-AI-by-Design: A Pattern Collection for Designing Responsible Artificial Intelligence Systems. IEEE Softw. 40(3): 63-71 (2023) - [j51]Guangsheng Yu, Xu Wang, Wei Ni, Qinghua Lu, Xiwei Xu, Ren Ping Liu, Liming Zhu:
Adaptive Resource Scheduling in Permissionless Sharded-Blockchains: A Decentralized Multiagent Deep Reinforcement Learning Approach. IEEE Trans. Syst. Man Cybern. Syst. 53(11): 7256-7268 (2023) - [c173]Boming Xia, Qinghua Lu, Harsha Perera, Liming Zhu, Zhenchang Xing, Yue Liu, Jon Whittle:
Towards Concrete and Connected AI Risk Assessment (C2AIRA): A Systematic Mapping Study. CAIN 2023: 104-116 - [c172]Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Xiwei Xu, Chen Wang, Liming Zhu, Lina Yao:
Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems. CIKM 2023: 3564-3573 - [c171]Su Yen Chia, Xiwei Xu, Ming Ding, David B. Smith, Hye-Young Paik, Liming Zhu:
A Selection Model of Privacy Patterns. ICSA 2023: 1-11 - [c170]Yue Liu, Qinghua Lu, Guangsheng Yu, Hye-Young Paik, Liming Zhu:
A Pattern-Oriented Reference Architecture for Governance-Driven Blockchain Systems. ICSA 2023: 23-34 - [c169]Liming Zhu:
Software Engineering as the Linchpin of Responsible AI. ICSE 2023: 3-4 - [c168]Yanqi Su, Zheming Han, Zhenchang Xing, Xiwei Xu, Liming Zhu, Qinghua Lu:
SoapOperaTG: A Tool for System Knowledge Graph Based Soap Opera Test Generation. ICSE Companion 2023: 51-54 - [c167]Jiamou Sun, Zhenchang Xing, Qinghua Lu, Xiwei Xu, Liming Zhu:
A Multi-faceted Vulnerability Searching Website Powered by Aspect-level Vulnerability Knowledge Graph. ICSE Companion 2023: 60-63 - [c166]Zejun Zhang, Zhenchang Xing, Xiwei Xu, Liming Zhu:
RIdiom: Automatically Refactoring Non-Idiomatic Python Code with Pythonic Idioms. ICSE Companion 2023: 102-106 - [c165]Jiamou Sun, Zhenchang Xing, Qinghua Lu, Xiwei Xu, Liming Zhu, Thong Hoang, Dehai Zhao:
Silent Vulnerable Dependency Alert Prediction with Vulnerability Key Aspect Explanation. ICSE 2023: 970-982 - [c164]Zejun Zhang, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu, Qinghua Lu:
Faster or Slower? Performance Mystery of Python Idioms Unveiled with Empirical Evidence. ICSE 2023: 1495-1507 - [c163]Dehai Zhao, Zhenchang Xing, Xin Xia, Deheng Ye, Xiwei Xu, Liming Zhu:
SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics. ICSE 2023: 1946-1957 - [c162]Boming Xia, Tingting Bi, Zhenchang Xing, Qinghua Lu, Liming Zhu:
An Empirical Study on Software Bill of Materials: Where We Stand and the Road Ahead. ICSE 2023: 2630-2642 - [c161]Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu:
Meta-learning for Estimating Multiple Treatment Effects with Imbalance. WISE 2023: 886-895 - [i68]Boming Xia, Tingting Bi, Zhenchang Xing, Qinghua Lu, Liming Zhu:
An Empirical Study on Software Bill of Materials: Where We Stand and the Road Ahead. CoRR abs/2301.05362 (2023) - [i67]Qinghua Lu, Yuxiu Luo, Liming Zhu, MingJian Tang, Xiwei Xu, Jon Whittle:
Operationalising Responsible AI Using a Pattern-Oriented Approach: A Case Study on Chatbots in Financial Services. CoRR abs/2301.05517 (2023) - [i66]Boming Xia, Qinghua Lu, Harsha Perera, Liming Zhu, Zhenchang Xing, Yue Liu, Jon Whittle:
A Survey on AI Risk Assessment Frameworks. CoRR abs/2301.11616 (2023) - [i65]Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu, Kun Zhang:
On the Opportunity of Causal Deep Generative Models: A Survey and Future Directions. CoRR abs/2301.12351 (2023) - [i64]Zejun Zhang, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu, Qinghua Lu:
Faster or Slower? Performance Mystery of Python Idioms Unveiled with Empirical Evidence. CoRR abs/2301.12633 (2023) - [i63]Dawen Zhang, Shidong Pan, Thong Hoang, Zhenchang Xing, Mark Staples, Xiwei Xu, Lina Yao, Qinghua Lu, Liming Zhu:
To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods. CoRR abs/2302.03350 (2023) - [i62]Jiamou Sun, Zhenchang Xing, Qinghua Lu, Xiwei Xu, Liming Zhu, Thong Hoang, Dehai Zhao:
Silent Vulnerable Dependency Alert Prediction with Vulnerability Key Aspect Explanation. CoRR abs/2302.07445 (2023) - [i61]Linh T. Nguyen, Lam Duc Nguyen, Thong Hoang, H. M. N. Dilum Bandara, Qin Wang, Qinghua Lu, Xiwei Xu, Liming Zhu, Petar Popovski, Shiping Chen:
Blockchain-Empowered Trustworthy Data Sharing: Fundamentals, Applications, and Challenges. CoRR abs/2303.06546 (2023) - [i60]Qinghua Lu, Liming Zhu, Xiwei Xu, Zhenchang Xing, Jon Whittle:
Towards Responsible AI in the Era of ChatGPT: A Reference Architecture for Designing Foundation Model-based AI Systems. CoRR abs/2304.11090 (2023) - [i59]Tingting Bi, Boming Xia, Zhenchang Xing, Qinghua Lu, Liming Zhu:
On the Way to SBOMs: Investigating Design Issues and Solutions in Practice. CoRR abs/2304.13261 (2023) - [i58]Dehai Zhao, Zhenchang Xing, Xin Xia, Deheng Ye, Xiwei Xu, Liming Zhu:
SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics. CoRR abs/2304.14042 (2023) - [i57]Qinghua Lu, Liming Zhu, Xiwei Xu, Zhenchang Xing, Jon Whittle:
A Framework for Designing Foundation Model based Systems. CoRR abs/2305.05352 (2023) - [i56]Sung Une Lee, Harsha Perera, Boming Xia, Yue Liu, Qinghua Lu, Liming Zhu, Olivier Salvado, Jon Whittle:
QB4AIRA: A Question Bank for AI Risk Assessment. CoRR abs/2305.09300 (2023) - [i55]Zhenchang Xing, Qing Huang, Yu Cheng, Liming Zhu, Qinghua Lu, Xiwei Xu:
Prompt Sapper: LLM-Empowered Software Engineering Infrastructure for AI-Native Services. CoRR abs/2306.02230 (2023) - [i54]Sin Kit Lo, Yue Liu, Guangsheng Yu, Qinghua Lu, Xiwei Xu, Liming Zhu:
Distributed Trust Through the Lens of Software Architecture. CoRR abs/2306.08056 (2023) - [i53]Boming Xia, Dawen Zhang, Yue Liu, Qinghua Lu, Zhenchang Xing, Liming Zhu:
Trust in Software Supply Chains: Blockchain-Enabled SBOM and the AIBOM Future. CoRR abs/2307.02088 (2023) - [i52]Thong Hoang, Hoa Khanh Dam, Tingting Bi, Qinghua Lu, Zhenchang Xing, Liming Zhu, Lam Duc Nguyen, Shiping Chen:
Quantum Software Analytics: Opportunities and Challenges. CoRR abs/2307.11305 (2023) - [i51]Yue Liu, Qinghua Lu, Liming Zhu, Hye-Young Paik:
Decentralised Governance for Foundation Model based AI Systems: Exploring the Role of Blockchain in Responsible AI. CoRR abs/2308.05962 (2023) - [i50]Terry Yue Zhuo, Xiaoning Du, Zhenchang Xing, Jiamou Sun, Haowei Quan, Li Li, Liming Zhu:
Pop Quiz! Do Pre-trained Code Models Possess Knowledge of Correct API Names? CoRR abs/2309.07804 (2023) - [i49]Dawen Zhang, Boming Xia, Yue Liu, Xiwei Xu, Thong Hoang, Zhenchang Xing, Mark Staples, Qinghua Lu, Liming Zhu:
Tag Your Fish in the Broken Net: A Responsible Web Framework for Protecting Online Privacy and Copyright. CoRR abs/2310.07915 (2023) - [i48]Yashothara Shanmugarasa, Mahawaga Arachchige Pathum Chamikara, Hye-Young Paik, Salil S. Kanhere, Liming Zhu:
Local Differential Privacy for Smart Meter Data Sharing. CoRR abs/2311.04544 (2023) - [i47]Qinghua Lu, Liming Zhu, Xiwei Xu, Zhenchang Xing, Stefan Harrer, Jon Whittle:
Building the Future of Responsible AI: A Reference Architecture for Designing Large Language Model based Agents. CoRR abs/2311.13148 (2023) - [i46]Boming Xia, Qinghua Lu, Liming Zhu, Sung Une Lee, Yue Liu, Zhenchang Xing:
From Principles to Practice: An Accountability Metrics Catalogue for Managing AI Risks. CoRR abs/2311.13158 (2023) - 2022
- [j50]Sin Kit Lo, Qinghua Lu, Chen Wang, Hye-Young Paik, Liming Zhu:
A Systematic Literature Review on Federated Machine Learning: From a Software Engineering Perspective. ACM Comput. Surv. 54(5): 95:1-95:39 (2022) - [j49]Yashothara Shanmugarasa, Hye-young Paik, Salil S. Kanhere, Liming Zhu:
Automated Privacy Preferences for Smart Home Data Sharing Using Personal Data Stores. IEEE Secur. Priv. 20(1): 12-22 (2022) - [j48]Yue Liu, Qinghua Lu, Guangsheng Yu, Hye-Young Paik, Liming Zhu:
Defining blockchain governance principles: A comprehensive framework. Inf. Syst. 109: 102090 (2022) - [j47]Sin Kit Lo, Qinghua Lu, Liming Zhu, Hye-Young Paik, Xiwei Xu, Chen Wang:
Architectural patterns for the design of federated learning systems. J. Syst. Softw. 191: 111357 (2022) - [j46]Manqing Dong, Feng Yuan, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu:
A survey for trust-aware recommender systems: A deep learning perspective. Knowl. Based Syst. 249: 108954 (2022) - [j45]Mary Shaw, Liming Zhu:
Can Software Engineering Harness the Benefits of Advanced AI? IEEE Softw. 39(6): 99-104 (2022) - [j44]Sunny Verma, Chen Wang, Liming Zhu, Wei Liu:
Attn-HybridNet: Improving Discriminability of Hybrid Features With Attention Fusion. IEEE Trans. Cybern. 52(7): 6567-6578 (2022) - [c160]Vatsal Patel, Sutharshan Rajasegarar, Lei Pan, Jiajun Liu, Liming Zhu:
EvAnGCN: Evolving Graph Deep Neural Network Based Anomaly Detection in Blockchain. ADMA (1) 2022: 444-456 - [c159]Conrad Sanderson, Qinghua Lu, David Douglas, Xiwei Xu, Liming Zhu, Jon Whittle:
Towards Implementing Responsible AI. IEEE Big Data 2022: 5076-5081 - [c158]Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, Zhenchang Xing:
Towards a roadmap on software engineering for responsible AI. CAIN 2022: 101-112 - [c157]Yue Liu, Qinghua Lu, Guangsheng Yu, Hye-Young Paik, Harsha Perera, Liming Zhu:
A Pattern Language for Blockchain Governance. EuroPLoP 2022: 28:1-28:16 - [c156]Su Yen Chia, Xiwei Xu, Hye-Young Paik, Liming Zhu:
Analysis of Privacy Patterns from An Architectural Perspective. ICSA Companion 2022: 60-67 - [c155]Xiwei Xu, Chen Wang, Zhen Wang, Qinghua Lu, Liming Zhu:
Dependency Tracking for Risk Mitigation in Machine Learning (ML) Systems. ICSE (SEIP) 2022: 145-146 - [c154]Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, David Douglas, Conrad Sanderson:
Software engineering for Responsible AI: An empirical study and operationalised patterns. ICSE (SEIP) 2022: 241-242 - [c153]Jiamou Sun, Zhenchang Xing, Xiwei Xu, Liming Zhu, Qinghua Lu:
Heterogeneous Vulnerability Report Traceability Recovery by Vulnerability Aspect Matching. ICSME 2022: 175-186 - [c152]Yanqi Su, Zheming Han, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu, Qinghua Lu:
Constructing a System Knowledge Graph of User Tasks and Failures from Bug Reports to Support Soap Opera Testing. ASE 2022: 26:1-26:13 - [c151]Qing Huang, Zhiqiang Yuan, Zhenchang Xing, Xiwei Xu, Liming Zhu, Qinghua Lu:
Prompt-tuned Code Language Model as a Neural Knowledge Base for Type Inference in Statically-Typed Partial Code. ASE 2022: 79:1-79:13 - [c150]Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu:
Cycle-Balanced Representation Learning For Counterfactual Inference. SDM 2022: 442-450 - [c149]Mulong Xie, Zhenchang Xing, Sidong Feng, Xiwei Xu, Liming Zhu, Chunyang Chen:
Psychologically-inspired, unsupervised inference of perceptual groups of GUI widgets from GUI images. ESEC/SIGSOFT FSE 2022: 332-343 - [c148]Zejun Zhang, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu:
Making Python code idiomatic by automatic refactoring non-idiomatic Python code with pythonic idioms. ESEC/SIGSOFT FSE 2022: 696-708 - [c147]Pin Chen, Chee Peng Lim, Alex Gorod, Liming Zhu:
Towards a Taxonomy of Approaches to Modern Complex Systems. SoSE 2022: 410-415 - [i45]Yue Liu, Qinghua Lu, Guangsheng Yu, Hye-Young Paik, Harsha Perera, Liming Zhu:
A Pattern Collection for Blockchain Governance. CoRR abs/2203.00268 (2022) - [i44]Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle:
Responsible-AI-by-Design: a Pattern Collection for Designing Responsible AI Systems. CoRR abs/2203.00905 (2022) - [i43]Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, Zhenchang Xing:
Towards a Roadmap on Software Engineering for Responsible AI. CoRR abs/2203.08594 (2022) - [i42]Sin Kit Lo, Qinghua Lu, Hye-Young Paik, Liming Zhu:
A Decision Model for Federated Learning Architecture Pattern Selection. CoRR abs/2204.13291 (2022) - [i41]Conrad Sanderson, Qinghua Lu, David Douglas, Xiwei Xu, Liming Zhu, Jon Whittle:
Towards Operationalising Responsible AI: An Empirical Study. CoRR abs/2205.04358 (2022) - [i40]Mulong Xie, Zhenchang Xing, Sidong Feng, Chunyang Chen, Liming Zhu, Xiwei Xu:
Psychologically-Inspired, Unsupervised Inference of Perceptual Groups of GUI Widgets from GUI Images. CoRR abs/2206.10352 (2022) - [i39]Zejun Zhang, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu:
Making Python Code Idiomatic by Automatic Refactoring Non-Idiomatic Python Code with Pythonic Idioms. CoRR abs/2207.05613 (2022) - [i38]Qing Huang, Zhiqiang Yuan, Zhenchang Xing, Xiwei Xu, Liming Zhu, Qinghua Lu:
Prompt-tuned Code Language Model as a Neural Knowledge Base for Type Inference in Statically-Typed Partial Code. CoRR abs/2208.05361 (2022) - [i37]Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu:
Interventional Recommendation with Contrastive Counterfactual Learning for Better Understanding User Preferences. CoRR abs/2208.06746 (2022) - [i36]Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu:
Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects. CoRR abs/2208.06748 (2022) - [i35]Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, Didar Zowghi, Aurelie Jacquet:
Responsible AI Pattern Catalogue: A Multivocal Literature Review. CoRR abs/2209.04963 (2022) - [i34]Yue Liu, Qinghua Lu, Guangsheng Yu, Hye-Young Paik, Liming Zhu:
BGRA: A Reference Architecture for Blockchain Governance. CoRR abs/2211.04811 (2022) - 2021
- [j43]Rowan T. Hughes, Liming Zhu, Tomasz Bednarz:
Generative Adversarial Networks-Enabled Human-Artificial Intelligence Collaborative Applications for Creative and Design Industries: A Systematic Review of Current Approaches and Trends. Frontiers Artif. Intell. 4: 604234 (2021) - [j42]Weishan Zhang, Qinghua Lu, Qiuyu Yu, Zhaotong Li, Yue Liu, Sin Kit Lo, Shiping Chen, Xiwei Xu, Liming Zhu:
Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT. IEEE Internet Things J. 8(7): 5926-5937 (2021) - [j41]Qinghua Lu, An Binh Tran, Ingo Weber, Hugo O'Connor, Paul Rimba, Xiwei Xu, Mark Staples, Liming Zhu, Ross Jeffery:
Integrated model-driven engineering of blockchain applications for business processes and asset management. Softw. Pract. Exp. 51(5): 1059-1079 (2021) - [j40]Qinghua Lu, An Binh Tran, Ingo Weber, Hugo O'Connor, Paul Rimba, Xiwei Xu, Mark Staples, Liming Zhu, Ross Jeffery:
Featured Cover. Softw. Pract. Exp. 51(5): i (2021) - [c146]Minfeng Qi, Ziyuan Wang, Fan Wu, Rob Hanson, Shiping Chen, Yang Xiang, Liming Zhu:
A Blockchain-Enabled Federated Learning Model for Privacy Preservation: System Design. ACISP 2021: 473-489 - [c145]Xiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang, Xiwei Xu, Liming Zhu:
Generative Inverse Deep Reinforcement Learning for Online Recommendation. CIKM 2021: 201-210 - [c144]Sin Kit Lo, Qinghua Lu, Hye-Young Paik, Liming Zhu:
FLRA: A Reference Architecture for Federated Learning Systems. ECSA 2021: 83-98 - [c143]Qinghua Lu, Xiwei Xu, H. M. N. Dilum Bandara, Shiping Chen, Liming Zhu:
Patterns for Blockchain-Based Payment Applications. EuroPLoP 2021: 28:1-28:17 - [c142]Dawen Zhang, Xiwei Xu, Liming Zhu, Hye-Young Paik:
A Process Adaptation Framework for Blockchain-Based Supply Chain Management. IEEE ICBC 2021: 1-9 - [c141]Manqing Dong, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu:
MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta Learning. ICDM 2021: 101-110 - [c140]Xiwei Xu, H. M. N. Dilum Bandara, Qinghua Lu, Ingo Weber, Len Bass, Liming Zhu:
A Decision Model for Choosing Patterns in Blockchain-Based Applications. ICSA 2021: 47-57 - [c139]Jiamou Sun, Zhenchang Xing, Xin Peng, Xiwei Xu, Liming Zhu:
Task-Oriented API Usage Examples Prompting Powered By Programming Task Knowledge Graph. ICSME 2021: 448-459 - [c138]Yanqi Su, Zhenchang Xing, Xin Peng, Xin Xia, Chong Wang, Xiwei Xu, Liming Zhu:
Reducing Bug Triaging Confusion by Learning from Mistakes with a Bug Tossing Knowledge Graph. ASE 2021: 191-202 - [c137]Shuang Ao, Tianyi Zhou, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang:
CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum. NeurIPS 2021: 10444-10456 - [c136]Yashothara Shanmugarasa, Hye-Young Paik, Salil S. Kanhere, Liming Zhu:
Towards Automated Data Sharing in Personal Data Stores. PerCom Workshops 2021: 328-331 - [c135]Su Yen Chia, Xiwei Xu, Hye-Young Paik, Liming Zhu:
Analysing and extending privacy patterns with architectural context. SAC 2021: 1390-1398 - [c134]Tomasz Bednarz, Alex Mathews, Daniel Filonik, Rowan T. Hughes, Dawei Chen, Liming Zhu:
Visual analytics for large networks: theory, art and practice. SIGGRAPH Courses 2021: 15:1-15:213 - [c133]Xiaoxue Ren, Xinyuan Ye, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu, Jianling Sun:
KGAMD: an API-misuse detector driven by fine-grained API-constraint knowledge graph. ESEC/SIGSOFT FSE 2021: 1515-1519 - [i33]Jiamou Sun, Zhenchang Xing, Hao Guo, Deheng Ye, Xiaohong Li, Xiwei Xu, Liming Zhu:
Generating Informative CVE Description From ExploitDB Posts by Extractive Summarization. CoRR abs/2101.01431 (2021) - [i32]Sin Kit Lo, Qinghua Lu, Liming Zhu, Hye-young Paik, Xiwei Xu, Chen Wang:
Architectural Patterns for the Design of Federated Learning Systems. CoRR abs/2101.02373 (2021) - [i31]Qinghua Lu, Xiwei Xu, H. M. N. Dilum Bandara, Shiping Chen, Liming Zhu:
Design Patterns for Blockchain-Based Payment Applications. CoRR abs/2102.09810 (2021) - [i30]Jieshan Chen, Chunyang Chen, Zhenchang Xing, Xin Xia, Liming Zhu, John C. Grundy, Jinshui Wang:
Wireframe-Based UI Design Search Through Image Autoencoder. CoRR abs/2103.07085 (2021) - [i29]Yue Liu, Qinghua Lu, Liming Zhu, Hye-Young Paik, Mark Staples:
A Systematic Literature Review on Blockchain Governance. CoRR abs/2105.05460 (2021) - [i28]Liming Zhu, Xiwei Xu, Qinghua Lu, Guido Governatori, Jon Whittle:
AI and Ethics - Operationalising Responsible AI. CoRR abs/2105.08867 (2021) - [i27]Sin Kit Lo, Qinghua Lu, Hye-Young Paik, Liming Zhu:
FLRA: A Reference Architecture for Federated Learning Systems. CoRR abs/2106.11570 (2021) - [i26]Sin Kit Lo, Yue Liu, Qinghua Lu, Chen Wang, Xiwei Xu, Hye-Young Paik, Liming Zhu:
Blockchain-based Trustworthy Federated Learning Architecture. CoRR abs/2108.06912 (2021) - [i25]Yue Liu, Qinghua Lu, Hye-Young Paik, Liming Zhu:
Defining Blockchain Governance Principles: A Comprehensive Framework. CoRR abs/2110.13374 (2021) - [i24]Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu:
Cycle-Balanced Representation Learning For Counterfactual Inference. CoRR abs/2110.15484 (2021) - [i23]Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, David Douglas, Conrad Sanderson:
Software Engineering for Responsible AI: An Empirical Study and Operationalised Patterns. CoRR abs/2111.09478 (2021) - 2020
- [j39]Yue Liu, Qinghua Lu, Hye-Young Paik, Xiwei Xu, Shiping Chen, Liming Zhu:
Design Pattern as a Service for Blockchain-Based Self-Sovereign Identity. IEEE Softw. 37(4): 30-36 (2020) - [j38]Cesare Pautasso, Olaf Zimmermann, Liming Zhu, Thomas Bocek, Xabier Larrucea:
Unchain or Block the Hype? : Decision Drivers, Success Factors, and Perspectives for Blockchain Adoption. IEEE Softw. 37(4): 97-103 (2020) - [j37]Shuai Zhang, Lina Yao, Bin Wu, Xiwei Xu, Xiang Zhang, Liming Zhu:
Unraveling Metric Vector Spaces With Factorization for Recommendation. IEEE Trans. Ind. Informatics 16(2): 732-742 (2020)