Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDQinghua Lu 0001
Person information
- affiliation: CSIRO, Data61, Sydney, NSW, Australia
- affiliation (former): China University of Petroleum, Department of Software Engineering, Qingdao, China
- affiliation (former): NICTA, Software Systems Research Group, Sydney, NSW, Australia
- affiliation (PhD 2013): University of New South Wales, School of Computer Science and Engineering, Sydney, NSW, Australia
Other persons with the same name
- Qinghua Lu 0002
![[0000-0002-3781-4361]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3781-4361")
— Foshan University, College of Mechanical and Electrical Engineering, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j58]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)- [j57]Qinghua Lu, Liming Zhu, Jon Whittle, James Bret Michael:
Software Engineering for Responsible AI. Computer 56(4): 13-16 (2023) - [j56]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) - [j55]Xingjie Zeng, Zepei Yu, Weishan Zhang, Xiao Wang, Qinghua Lu, Tao Wang, Mu Gu, Yonglin Tian, Fei-Yue Wang:
Homophily Learning-Based Federated Intelligence: A Case Study on Industrial IoT Equipment Failure Prediction. IEEE Internet Things J. 10(8, April 15): 7356-7365 (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]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) - [c85]Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang:
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. AAAI 2023: 9953-9961 - [c84]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 - [c83]Rahma Mukta, Rue C. Teh, Hye-Young Paik, Qinghua Lu, Salil S. Kanhere:
VCTP: A Verifiable Credential-Based Trust Propagation Protocol for Personal Issuers in Self-Sovereign Identity Platforms. DAPPS 2023: 109-118 - [c82]Lam Duc Nguyen, James Hoang, Qin Wang, Qinghua Lu, Sherry Xu, Shiping Chen:
BDSP: A Fair Blockchain-enabled Framework for Privacy-Enhanced Enterprise Data Sharing. ICBC 2023: 1-9 - [c81]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 - [c80]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 - [c79]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 - [c78]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 - [c77]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 - [c76]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 - [c75]Conrad Sanderson, David Douglas, Qinghua Lu:
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects. IJCNN 2023: 1-7 - [c74]Yanqi Su, Zheming Han, Zhipeng Gao, Zhenchang Xing, Qinghua Lu, Xiwei Xu:
Still Confusing for Bug-Component Triaging? Deep Feature Learning and Ensemble Setting to Rescue. ICPC 2023: 316-327 - [c73]Zhou Yang, Chenyu Wang, Jieke Shi, Thong Hoang, Pavneet Singh Kochhar, Qinghua Lu, Zhenchang Xing, David Lo:
What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues. MSR 2023: 79-91 - [e2]Claudio A. Ardagna, Nimanthi L. Atukorala, Carl K. Chang, Jing Fan, Geoffrey C. Fox, Sumi Helal, Zhi Jin, Qinghua Lu, Tiberiu Seceleanu, Stephen S. Yau:
IEEE International Conference on Software Services Engineering, SSE 2023, Chicago, IL, USA, July 2-8, 2023. IEEE 2023, ISBN 979-8-3503-4075-4 [contents] - [i64]Qing Huang, Yanbang Sun, Zhenchang Xing, Min Yu, Xiwei Xu, Qinghua Lu:
API Entity and Relation Joint Extraction from Text via Dynamic Prompt-tuned Language Model. CoRR abs/2301.03987 (2023) - [i63]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) - [i62]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) - [i61]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) - [i60]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) - [i59]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) - [i58]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) - [i57]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) - [i56]Zhou Yang, Chenyu Wang, Jieke Shi, Thong Hoang, Pavneet Singh Kochhar, Qinghua Lu, Zhenchang Xing, David Lo:
What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues. CoRR abs/2303.09795 (2023) - [i55]Zhengxin Fang, Yi Yuan, Jingyu Zhang, Yue Liu, Yuechen Mu, Qinghua Lu, Xiwei Xu, Jeff Wang, Chen Wang, Shuai Zhang, Shiping Chen:
MLOps Spanning Whole Machine Learning Life Cycle: A Survey. CoRR abs/2304.07296 (2023) - [i54]Conrad Sanderson, David Douglas, Qinghua Lu:
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects. CoRR abs/2304.08275 (2023) - [i53]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) - [i52]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) - [i51]Qing Huang, Zishuai Li, Zhenchang Xing, Zhengkang Zuo, Xin Peng, Xiwei Xu, Qinghua Lu:
Answering Uncertain, Under-Specified API Queries Assisted by Knowledge-Aware Human-AI Dialogue. CoRR abs/2304.14163 (2023) - [i50]Qinghua Lu, Liming Zhu, Xiwei Xu, Zhenchang Xing, Jon Whittle:
A Framework for Designing Foundation Model based Systems. CoRR abs/2305.05352 (2023) - [i49]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) - [i48]Qing Huang, Zhou Zou, Zhenchang Xing, Zhenkang Zuo, Xiwei Xu, Qinghua Lu:
AI Chain on Large Language Model for Unsupervised Control Flow Graph Generation for Statically-Typed Partial Code. CoRR abs/2306.00757 (2023) - [i47]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) - [i46]Mengyu Chen, Zhenchang Xing, Jieshan Chen, Chunyang Chen, Qinghua Lu:
Enhancing Virtual Assistant Intelligence: Precise Area Targeting for Instance-level User Intents beyond Metadata. CoRR abs/2306.04163 (2023) - [i45]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) - [i44]Shidong Pan, Thong Hoang, Dawen Zhang, Zhenchang Xing, Xiwei Xu, Qinghua Lu, Mark Staples:
Toward the Cure of Privacy Policy Reading Phobia: Automated Generation of Privacy Nutrition Labels From Privacy Policies. CoRR abs/2306.10923 (2023) - [i43]Yu Cheng, Jieshan Chen, Qing Huang, Zhenchang Xing, Xiwei Xu, Qinghua Lu:
Prompt Sapper: A LLM-Empowered Production Tool for Building AI Chains. CoRR abs/2306.12028 (2023) - [i42]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) - [i41]Dawen Zhang, Thong Hoang, Shidong Pan, Yongquan Hu, Zhenchang Xing, Mark Staples, Xiwei Xu, Qinghua Lu, Aaron Quigley:
Test-takers have a say: understanding the implications of the use of AI in language tests. CoRR abs/2307.09885 (2023) - [i40]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) - [i39]Rahma Mukta, Rue C. Teh, Hye-young Paik, Qinghua Lu, Salil S. Kanhere:
VCTP: A Verifiable Credential-based Trust Propagation Protocol for Personal Issuers in Self-Sovereign Identity Platforms. CoRR abs/2308.01539 (2023) - [i38]Jieshan Chen, Jiamou Sun, Sidong Feng, Zhenchang Xing, Qinghua Lu, Xiwei Xu, Chunyang Chen:
Unveiling the Tricks: Automated Detection of Dark Patterns in Mobile Applications. CoRR abs/2308.05898 (2023) - [i37]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) - 2022
- [j52]Rahma Mukta, Hye-young Paik, Qinghua Lu, Salil S. Kanhere:
A survey of data minimisation techniques in blockchain-based healthcare. Comput. Networks 205: 108766 (2022) - [j51]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) - [j50]Weishan Zhang, Gang Sun, Liang Xu, Qinghua Lu, Huansheng Ning, Peiying Zhang, Su Yang:
A Trustworthy Safety Inspection Framework Using Performance-Security Balanced Blockchain. IEEE Internet Things J. 9(11): 8178-8190 (2022) - [j49]Peiying Zhang, Chao Wang, Chunxiao Jiang, Neeraj Kumar, Qinghua Lu:
Resource Management and Security Scheme of ICPSs and IoT Based on VNE Algorithm. IEEE Internet Things J. 9(22): 22071-22080 (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]Chang Zhang, Xiaorui Ren, Tao Zhu, Fang Zhou, Hong Liu, Qinghua Lu, Huansheng Ning:
Federated Markov Logic Network for indoor activity recognition in Internet of Things. Knowl. Based Syst. 253: 109553 (2022) - [j45]Jiehan Zhou, Qinghua Lu, Wenbin Dai, Ray Y. Zhong:
Guest Editorial: Special Section on Artificial Intelligence and Big Data Analytics for Cloud Manufacturing. IEEE Trans. Ind. Informatics 18(12): 8944-8947 (2022) - [c72]Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Qinghua Lu, Jing Jiang, Chengqi Zhang:
FedProto: Federated Prototype Learning across Heterogeneous Clients. AAAI 2022: 8432-8440 - [c71]Conrad Sanderson, Qinghua Lu, David Douglas, Xiwei Xu, Liming Zhu, Jon Whittle:
Towards Implementing Responsible AI. IEEE Big Data 2022: 5076-5081 - [c70]Rahma Mukta, Hye-Young Paik, Qinghua Lu, Salil S. Kanhere:
CredTrust: Credential Based Issuer Management for Trust in Self-Sovereign Identity. Blockchain 2022: 334-339 - [c69]Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, Zhenchang Xing:
Towards a roadmap on software engineering for responsible AI. CAIN 2022: 101-112 - [c68]Ou Wu, Shanshan Li, Liwen Liu, He Zhang, Xin Zhou, Qinghua Lu:
Performance Modeling of Hyperledger Fabric 2.0. EASE 2022: 357-365 - [c67]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 - [c66]Oscar Golding, Guangsheng Yu, Qinghua Lu, Xiwei Xu:
Carboncoin: Blockchain Tokenization of Carbon Emissions with ESG-based Reputation. ICBC 2022: 1-5 - [c65]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 - [c64]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 - [c63]Jiamou Sun, Zhenchang Xing, Xiwei Xu, Liming Zhu, Qinghua Lu:
Heterogeneous Vulnerability Report Traceability Recovery by Vulnerability Aspect Matching. ICSME 2022: 175-186 - [c62]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 - [c61]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 - [e1]Andrea Marrella, Raimundas Matulevicius, Renata Gabryelczyk, Bernhard Axmann, Vesna Bosilj-Vuksic, Walid Gaaloul, Mojca Indihar Stemberger, Andrea Ko, Qinghua Lu:
Business Process Management: Blockchain, Robotic Process Automation, and Central and Eastern Europe Forum - BPM 2022 Blockchain, RPA, and CEE Forum, Münster, Germany, September 11-16, 2022, Proceedings. Lecture Notes in Business Information Processing 459, Springer 2022, ISBN 978-3-031-16167-4 [contents] - [i36]Peiying Zhang, Chao Wang, Chunxiao Jiang, Neeraj Kumar, Qinghua Lu:
Resource Management and Security Scheme of ICPSs and IoT Based on VNE Algorithm. CoRR abs/2202.01375 (2022) - [i35]Yue Liu, Qinghua Lu, Guangsheng Yu, Hye-Young Paik, Harsha Perera, Liming Zhu:
A Pattern Collection for Blockchain Governance. CoRR abs/2203.00268 (2022) - [i34]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) - [i33]Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, Zhenchang Xing:
Towards a Roadmap on Software Engineering for Responsible AI. CoRR abs/2203.08594 (2022) - [i32]Sin Kit Lo, Qinghua Lu, Hye-Young Paik, Liming Zhu:
A Decision Model for Federated Learning Architecture Pattern Selection. CoRR abs/2204.13291 (2022) - [i31]Conrad Sanderson, Qinghua Lu, David Douglas, Xiwei Xu, Liming Zhu, Jon Whittle:
Towards Operationalising Responsible AI: An Empirical Study. CoRR abs/2205.04358 (2022) - [i30]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) - [i29]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) - [i28]Yue Liu, Qinghua Lu, Guangsheng Yu, Hye-Young Paik, Liming Zhu:
BGRA: A Reference Architecture for Blockchain Governance. CoRR abs/2211.04811 (2022) - [i27]Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang:
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. CoRR abs/2211.13009 (2022) - [i26]Qing Huang, Dianshu Liao, Zhenchang Xing, Zhiqiang Yuan, Qinghua Lu, Xiwei Xu, Jiaxing Lu:
SE Factual Knowledge in Frozen Giant Code Model: A Study on FQN and its Retrieval. CoRR abs/2212.08221 (2022) - [i25]Lam Duc Nguyen, James Hoang, Qin Wang, Qinghua Lu, Sherry Xu, Shiping Chen:
BDSP: A Fair Blockchain-enabled Framework for Privacy-Enhanced Enterprise Data Sharing. CoRR abs/2212.11128 (2022) - 2021
- [j44]Yue Liu, Qinghua Lu, Shiping Chen, Qiang Qu, Hugo O'Connor, Kim-Kwang Raymond Choo, He Zhang:
Capability-based IoT access control using blockchain. Digit. Commun. Networks 7(4): 463-469 (2021) - [j43]Mohammed Amine Bouras, Qinghua Lu, Sahraoui Dhelim, Huansheng Ning:
A Lightweight Blockchain-Based IoT Identity Management Approach. Future Internet 13(2): 24 (2021) - [j42]Md. Shamsujjoha, John Grundy, Li Li, Hourieh Khalajzadeh, Qinghua Lu:
Developing Mobile Applications Via Model Driven Development: A Systematic Literature Review. Inf. Softw. Technol. 140: 106693 (2021) - [j41]Laizhong Cui, Ziteng Chen, Shu Yang, Zhongxing Ming, Qi Li, Yipeng Zhou, Shiping Chen, Qinghua Lu:
A Blockchain-Based Containerized Edge Computing Platform for the Internet of Vehicles. IEEE Internet Things J. 8(4): 2395-2408 (2021) - [j40]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) - [j39]Weishan Zhang, Tao Zhou, Qinghua Lu, Xiao Wang, Chunsheng Zhu, Haoyun Sun, Zhipeng Wang, Sin Kit Lo, Fei-Yue Wang:
Dynamic-Fusion-Based Federated Learning for COVID-19 Detection. IEEE Internet Things J. 8(21): 15884-15891 (2021) - [j38]Yue Liu, Qinghua Lu, Chunsheng Zhu, Qiuyu Yu:
A blockchain-based platform architecture for multimedia data management. Multim. Tools Appl. 80(20): 30707-30723 (2021) - [j37]Peiying Zhang, Chao Wang, Neeraj Kumar, Chunxiao Jiang, Qinghua Lu, Kim-Kwang Raymond Choo, Joel J. P. C. Rodrigues:
Artificial Intelligence Technologies for COVID-19-Like Epidemics: Methods and Challenges. IEEE Netw. 35(3): 27-33 (2021) - [j36]Mohammed Amine Bouras, Boming Xia, Adnan Omer Abuassba, Huansheng Ning, Qinghua Lu:
IoT-CCAC: a blockchain-based consortium capability access control approach for IoT. PeerJ Comput. Sci. 7: e455 (2021) - [j35]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) - [j34]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) - [j33]Jiehan Zhou, Qinghua Lu, Wenbin Dai, Enrique Herrera-Viedma:
Guest Editorial: Federated Learning for Industrial IoT in Industry 4.0. IEEE Trans. Ind. Informatics 17(12): 8438-8441 (2021) - [c60]Sin Kit Lo, Qinghua Lu, Hye-Young Paik, Liming Zhu:
FLRA: A Reference Architecture for Federated Learning Systems. ECSA 2021: 83-98 - [c59]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 - [c58]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 - [c57]Md. Shamsujjoha, John C. Grundy, Li Li, Hourieh Khalajzadeh, Qinghua Lu:
Checking App Behavior Against App Descriptions: What If There are No App Descriptions? ICPC 2021: 422-432 - [c56]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 - [c55]Md. Shamsujjoha, John Grundy, Li Li, Hourieh Khalajzadeh, Qinghua Lu:
Human-Centric Issues in eHealth App Development and Usage: A Preliminary Assessment. SANER 2021: 506-510 - [i24]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) - [i23]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) - [i22]Md. Shamsujjoha, John C. Grundy, Li Li, Hourieh Khalajzadeh, Qinghua Lu:
Checking App Behavior Against App Descriptions: What If There are No App Descriptions? CoRR abs/2103.11668 (2021) - [i21]Md. Shamsujjoha, John C. Grundy, Li Li, Hourieh Khalajzadeh, Qinghua Lu:
Human-Centric Issues in eHealth App Development and Usage: A Preliminary Assessment. CoRR abs/2104.01426 (2021) - [i20]Jiehan Zhou, Shouhua Zhang, Qinghua Lu, Wenbin Dai, Min Chen, Xin Liu, Susanna Pirttikangas, Yang Shi, Weishan Zhang, Enrique Herrera-Viedma:
A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things. CoRR abs/2104.10501 (2021) - [i19]Yue Liu, Qinghua Lu, Liming Zhu, Hye-Young Paik, Mark Staples:
A Systematic Literature Review on Blockchain Governance. CoRR abs/2105.05460 (2021) - [i18]Liming Zhu, Xiwei Xu, Qinghua Lu, Guido Governatori, Jon Whittle:
AI and Ethics - Operationalising Responsible AI. CoRR abs/2105.08867 (2021) - [i17]Sin Kit Lo, Qinghua Lu, Hye-Young Paik, Liming Zhu:
FLRA: A Reference Architecture for Federated Learning Systems. CoRR abs/2106.11570 (2021) - [i16]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) - [i15]