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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.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-3781-4361")
— Foshan University, College of Mechanical and Electrical Engineering, China
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Books and Theses
- 2014
[b2]Qinghua Lu:
Business-Driven Adaptation Decision-Making for SOA Systems. LAP Lambert Academic Publishing 2014, ISBN 978-3-659-51496-8, pp. I-XVIII, 1-155- 2012
- [b1]Qinghua Lu:
JARTOS - A Real-Time Operating System in Java: Can developing a real-time operating system in Java result in a system that an errant process can't crash? LAP Lambert Academic Publishing 2012, ISBN 978-3-8484-3060-4, pp. 1-157
Journal Articles
- 2024
- [j68]Md. Shamsujjoha, John C. Grundy, Hourieh Khalajzadeh, Qinghua Lu, Li Li:
Developer and End-User Perspectives on Addressing Human Aspects in Mobile eHealth Apps. Inf. Softw. Technol. 166: 107353 (2024) - [j67]Yan Liu, Abdelwahab Hamou-Lhadj, Jiye Li, Qinghua Lu:
Observability and Explainability for Software Systems Decision Making. IEEE Softw. 41(1): 45-49 (2024) - [j66]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. ACM Trans. Softw. Eng. Methodol. 33(1): 6:1-6:25 (2024) - [j65]Qing Huang, Zhiqiang Yuan, Zhenchang Xing, Xin Peng, Xiwei Xu, Qinghua Lu:
FQN Inference in Partial Code by Prompt-tuned Language Model of Code. ACM Trans. Softw. Eng. Methodol. 33(2): 31:1-31:32 (2024) - [j64]Jiamou Sun, Zhenchang Xing, Xin Xia, Qinghua Lu, Xiwei Xu, Liming Zhu:
Aspect-level Information Discrepancies across Heterogeneous Vulnerability Reports: Severity, Types and Detection Methods. ACM Trans. Softw. Eng. Methodol. 33(2): 49:1-49:38 (2024) - [j63]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. IEEE Trans. Software Eng. 50(2): 280-295 (2024) - 2023
- [j62]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) - [j61]Qinghua Lu, Liming Zhu, Jon Whittle, James Bret Michael:
Software Engineering for Responsible AI. Computer 56(4): 13-16 (2023) - [j60]Qinghua Lu, Yuxiu Luo, Liming Zhu, MingJian Tang, Xiwei Xu, Jon Whittle:
Developing Responsible Chatbots for Financial Services: A Pattern-Oriented Responsible Artificial Intelligence Engineering Approach. IEEE Intell. Syst. 38(6): 42-51 (2023) - [j59]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) - [j58]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) - [j57]Weishan Zhang, Zhicheng Bao, Yuru Liu, Liang Xu, Qinghua Lu, Huansheng Ning, Xiao Wang, Su Yang, Fei-Yue Wang, Zengxiang Li:
CFSL: A Credible Federated Self-Learning Framework. IEEE Internet Things J. 10(24): 21349-21362 (2023) - [j56]Yue Liu, Qinghua Lu, Liming Zhu, Hye-Young Paik, Mark Staples:
A systematic literature review on blockchain governance. J. Syst. Softw. 197: 111576 (2023) - [j55]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) - [j54]Qinghua Lu, Weishan Zhang, Zhen Wang, Qun Jin, Vincenzo Piuri:
Guest Editorial: Special Issue on Responsible AI in Social Computing. IEEE Trans. Comput. Soc. Syst. 10(6): 2906-2908 (2023) - [j53]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) - 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) - 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) - 2020
- [j32]Mohammed Amine Bouras, Qinghua Lu, Fan Zhang, Yueliang Wan, Tao Zhang, Huansheng Ning:
Distributed Ledger Technology for eHealth Identity Privacy: State of The Art and Future Perspective. Sensors 20(2): 483 (2020) - [j31]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) - [j30]Shudong Wang, Yanqing Li, Shanchen Pang, Qinghua Lu, Shuyu Wang, Jianli Zhao:
A Task Scheduling Strategy in Edge-Cloud Collaborative Scenario Based on Deadline. Sci. Program. 2020: 3967847:1-3967847:9 (2020) - 2019
- [j29]Sin Kuang Lo, Yue Liu, Su Yen Chia, Xiwei Xu, Qinghua Lu, Liming Zhu, Huansheng Ning:
Analysis of Blockchain Solutions for IoT: A Systematic Literature Review. IEEE Access 7: 58822-58835 (2019) - [j28]Xiwei Xu, Qinghua Lu, Yue Liu, Liming Zhu, Haonan Yao, Athanasios V. Vasilakos:
Designing blockchain-based applications a case study for imported product traceability. Future Gener. Comput. Syst. 92: 399-406 (2019) - [j27]Qinghua Lu, Xiwei Xu, Yue Liu, Ingo Weber, Liming Zhu, Weishan Zhang:
uBaaS: A unified blockchain as a service platform. Future Gener. Comput. Syst. 101: 564-575 (2019) - [j26]Claudio Di Ciccio, Alessio Cecconi, Marlon Dumas, Luciano García-Bañuelos, Orlenys López-Pintado, Qinghua Lu, Jan Mendling, Alexander Ponomarev, An Binh Tran, Ingo Weber:
Blockchain Support for Collaborative Business Processes. Inform. Spektrum 42(3): 182-190 (2019) - [j25]Yongping Zhang, Xiwei Xu, Ang Liu, Qinghua Lu, Lida Xu, Fei Tao:
Blockchain-Based Trust Mechanism for IoT-Based Smart Manufacturing System. IEEE Trans. Comput. Soc. Syst. 6(6): 1386-1394 (2019) - 2018
- [j24]Weishan Zhang, Wuwu Guo, Xin Liu, Yan Liu, Jiehan Zhou, Bo Li, Qinghua Lu, Su Yang:
LSTM-Based Analysis of Industrial IoT Equipment. IEEE Access 6: 23551-23560 (2018) - [j23]Zhongwei Li, Qinghua Lu, Liming Zhu, Xiwei Xu, Yue Liu, Weishan Zhang:
An Empirical Study of Cloud API Issues. IEEE Cloud Comput. 5(2): 58-72 (2018) - [j22]Dongyao Wu, Liming Zhu, Qinghua Lu, Sherif Sakr:
HDM: A Composable Framework for Big Data Processing. IEEE Trans. Big Data 4(2): 150-163 (2018) - 2017
- [j21]Qinghua Lu, Zheng Li, Weishan Zhang, Laurence T. Yang:
Autonomic deployment decision making for big data analytics applications in the cloud. Soft Comput. 21(16): 4501-4512 (2017) - [j20]Qinghua Lu, Xiwei Xu:
Adaptable Blockchain-Based Systems: A Case Study for Product Traceability. IEEE Softw. 34(6): 21-27 (2017) - [j19]Min Fu, Liming Zhu, Daniel Sun, Anna Liu, Len Bass, Qinghua Lu:
Runtime recovery actions selection for sporadic operations on public cloud. Softw. Pract. Exp. 47(2): 223-248 (2017) - [j18]Weishan Zhang, Pengcheng Duan, Laurence T. Yang, Feng Xia, Zhongwei Li, Qinghua Lu, Wenjuan Gong, Su Yang:
Resource requests prediction in the cloud computing environment with a deep belief network. Softw. Pract. Exp. 47(3): 473-488 (2017) - 2016
- [j17]Qinghua Lu, Shanshan Li, Weishan Zhang, Lei Zhang:
A genetic algorithm-based job scheduling model for big data analytics. EURASIP J. Wirel. Commun. Netw. 2016: 152 (2016) - [j16]Weishan Zhang, Shouchao Tan, Feng Xia, Xiufeng Chen, Zhongwei Li, Qinghua Lu, Su Yang:
A survey on decision making for task migration in mobile cloud environments. Pers. Ubiquitous Comput. 20(3): 295-309 (2016) - [j15]Weishan Zhang, Pengcheng Duan, Xiaodan Xie, Feng Xia, Qinghua Lu, Xin Liu, Jiehan Zhou:
QoS4IVSaaS: a QoS management framework for intelligent video surveillance as a service. Pers. Ubiquitous Comput. 20(5): 795-808 (2016) - [j14]Weishan Zhang, Pengcheng Duan, Xiufeng Chen, Qinghua Lu:
Healthcare4VideoStorm: Making Smart Decisions Based on Storm Metrics. Sensors 16(4): 588 (2016) - [j13]Weishan Zhang, Liang Xu, Zhongwei Li, Qinghua Lu, Yan Liu:
A Deep-Intelligence Framework for Online Video Processing. IEEE Softw. 33(2): 44-51 (2016) - [j12]Dongyao Wu, Liming Zhu, Xiwei Xu, Sherif Sakr, Daniel Sun, Qinghua Lu:
Building Pipelines for Heterogeneous Execution Environments for Big Data Processing. IEEE Softw. 33(2): 60-67 (2016) - [j11]Daniel Sun, Min Fu, Liming Zhu, Guoqiang Li, Qinghua Lu:
Non-Intrusive Anomaly Detection With Streaming Performance Metrics and Logs for DevOps in Public Clouds: A Case Study in AWS. IEEE Trans. Emerg. Top. Comput. 4(2): 278-289 (2016) - [j10]Weishan Zhang, Pengcheng Duan, Wenjuan Gong, Qinghua Lu, Su Yang:
A Load-Aware Pluggable Cloud Framework for Real-Time Video Processing. IEEE Trans. Ind. Informatics 12(6): 2166-2176 (2016) - [j9]Qinghua Lu, Liming Zhu, Xiwei Xu, Vladimir Tosic, Dipesh Chauhan, Weishan Zhang, Daniel Sun:
A Unified Business-Driven Cloud Management Framework. IEEE Trans. Serv. Comput. 9(6): 872-882 (2016) - 2015
- [j8]Qinghua Lu, Zheng Li, Maria Kihl, Liming Zhu, Weishan Zhang:
CF4BDA: A Conceptual Framework for Big Data Analytics Applications in the Cloud. IEEE Access 3: 1944-1952 (2015) - [j7]Weishan Zhang, Pengcheng Duan, Zhongwei Li, Qinghua Lu, Wenjuan Gong, Su Yang:
A Deep Awareness Framework for Pervasive Video Cloud. IEEE Access 3: 2227-2237 (2015) - [j6]Weishan Zhang, Shouchao Tan, Qinghua Lu, Xin Liu, Wenjuan Gong:
A Genetic-Algorithm-Based Approach for Task Migration in Pervasive Clouds. Int. J. Distributed Sens. Networks 11: 463230:1-463230:9 (2015) - [j5]Weishan Zhang, Liang Xu, Pengcheng Duan, Wenjuan Gong, Qinghua Lu, Su Yang:
A video cloud platform combing online and offline cloud computing technologies. Pers. Ubiquitous Comput. 19(7): 1099-1110 (2015) - [j4]Qinghua Lu, Xiwei Xu, Len Bass, Liming Zhu, Weishan Zhang:
A Tail-Tolerant Cloud API Wrapper. IEEE Softw. 32(1): 76-82 (2015) - 2014
- [j3]Weishan Zhang, Licheng Chen, Xin Liu, Qinghua Lu, Peiying Zhang, Su Yang:
An OSGi-based flexible and adaptive pervasive cloud infrastructure. Sci. China Inf. Sci. 57(3): 1-11 (2014) - [j2]Xiwei Xu, Xin Ye, Liming Zhu, Qinghua Lu:
Role network model-based support for RESTful business processes. Data Knowl. Eng. 94: 38-64 (2014) - 2012
- [j1]Qinghua Lu, Phillip John McKerrow, Zhiquan Zhou:
Design and Performance of a Minimal Real-Time Operating System in a Safe Language: Experience with Java on the Sun SPOT. J. Softw. 7(8): 1835-1844 (2012)
Conference and Workshop Papers
- 2023
- [c93]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 - [c92]Yue Liu, Qinghua Lu, Hye-Young Paik, Guangsheng Yu, Liming Zhu:
Decision Models for Selecting Patterns in Governance-driven Blockchain Systems. Blockchain 2023: 307-314 - [c91]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 - [c90]Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Qinghua Lu, Jun Shen, Kim-Kwang Raymond Choo:
Improving Adversarial Transferability via Frequency-based Stationary Point Search. CIKM 2023: 3626-3635 - [c89]Zhiyu Zhu, Huaming Chen, Zhibo Jin, Xinyi Wang, Jiayu Zhang, Minhui Xue, Qinghua Lu, Jun Shen, Kim-Kwang Raymond Choo:
FVW: Finding Valuable Weight on Deep Neural Network for Model Pruning. CIKM 2023: 3657-3666 - [c88]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 - [c87]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 - [c86]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 - [c85]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 - [c84]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 - [c83]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 - [c82]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 - [c81]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 - [c80]Conrad Sanderson, David Douglas, Qinghua Lu:
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects. IJCNN 2023: 1-7 - [c79]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 - [c78]Qing Huang, Zhenyu Wan, Zhenchang Xing, Changjing Wang, Jieshan Chen, Xiwei Xu, Qinghua Lu:
Let's Chat to Find the APIs: Connecting Human, LLM and Knowledge Graph through AI Chain. ASE 2023: 471-483 - [c77]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 - [c76]Yixin Liu, Kaize Ding, Qinghua Lu, Fuyi Li, Leo Yu Zhang, Shirui Pan:
Towards Self-Interpretable Graph-Level Anomaly Detection. NeurIPS 2023 - [c75]Rifat Ara Shams, Muneera Bano, Didar Zowghi, Qinghua Lu, Jon Whittle:
Human Value Requirements in AI Systems: Empirical Analysis of Amazon Alexa. REW 2023: 138-145 - [c74]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. UIST 2023: 114:1-114:20 - 2022
- [c73]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 - [c72]Conrad Sanderson, Qinghua Lu, David Douglas, Xiwei Xu, Liming Zhu, Jon Whittle:
Towards Implementing Responsible AI. IEEE Big Data 2022: 5076-5081 - [c71]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 - [c70]Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, Zhenchang Xing:
Towards a roadmap on software engineering for responsible AI. CAIN 2022: 101-112 - [c69]Ou Wu, Shanshan Li, Liwen Liu, He Zhang, Xin Zhou, Qinghua Lu:
Performance Modeling of Hyperledger Fabric 2.0. EASE 2022: 357-365 - [c68]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 - [c67]Oscar Golding, Guangsheng Yu, Qinghua Lu, Xiwei Xu:
Carboncoin: Blockchain Tokenization of Carbon Emissions with ESG-based Reputation. ICBC 2022: 1-5 - [c66]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 - [c65]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 - [c64]Jiamou Sun, Zhenchang Xing, Xiwei Xu, Liming Zhu, Qinghua Lu:
Heterogeneous Vulnerability Report Traceability Recovery by Vulnerability Aspect Matching. ICSME 2022: 175-186 - [c63]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 - [c62]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 - 2021
- [c61]Leiming Chen, Weishan Zhang, Liang Xu, Xingjie Zeng, Qinghua Lu, Hongwei Zhao, Bingyang Chen, Xiao Wang:
A Federated Parallel Data Platform for Trustworthy AI. DTPI 2021: 344-347 - [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 - 2020
- [c54]Ruiqi Hu, Shirui Pan, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang:
Going Deep: Graph Convolutional Ladder-Shape Networks. AAAI 2020: 2838-2845 - [c53]Yue Liu, Qinghua Lu, Hye-Young Paik, Xiwei Xu:
Design Patterns for Blockchain-based Self-Sovereign Identity. EuroPLoP 2020: 16:1-16:14 - [c52]Xiwei Xu, H. M. N. Dilum Bandara, Qinghua Lu, Dawen Zhang, Liming Zhu:
Understanding and Handling Blockchain Uncertainties. ICBC 2020: 108-124 - [c51]Qinghua Lu, Mark Staples, Hugo O'Connor, Shiping Chen, Adnene Guabtni:
Software Architecture for Blockchain-based Trade Certificate Systems. IEEE ICBC 2020: 1-3 - [c50]Han Zheng, Pengfei Wei, Jing Jiang, Guodong Long, Qinghua Lu, Chengqi Zhang:
Cooperative Heterogeneous Deep Reinforcement Learning. NeurIPS 2020 - [c49]Rahma Mukta, James Martens, Hye-Young Paik, Qinghua Lu, Salil S. Kanhere:
Blockchain-based Verifiable Credential Sharing with Selective Disclosure. TrustCom 2020: 959-966 - 2019
- [c48]Sin Kuang Lo, Xiwei Xu, Chen Wang, Ingo Weber, Paul Rimba, Qinghua Lu, Mark Staples:
Digital-Physical Parity for Food Fraud Detection. ICBC 2019: 65-79 - [c47]Zhaofang Li, Qinghua Lu, Shiping Chen, Yue Liu, Xiwei Xu:
A Landscape of Cryptocurrencies. IEEE ICBC 2019: 165-166 - [c46]Ingo Weber, Qinghua Lu, An Binh Tran, Amit Deshmukh, Marek Górski, Markus Strazds:
A Platform Architecture for Multi-Tenant Blockchain-Based Systems. ICSA 2019: 101-110 - 2018
- [c45]An Binh Tran, Qinghua Lu, Ingo Weber:
Lorikeet: A Model-Driven Engineering Tool for Blockchain-Based Business Process Execution and Asset Management. BPM (Dissertation/Demos/Industry) 2018: 56-60 - [c44]Xiwei Xu, Cesare Pautasso, Liming Zhu, Qinghua Lu, Ingo Weber:
A Pattern Collection for Blockchain-based Applications. EuroPLoP 2018: 3:1-3:20 - [c43]Yue Liu, Qinghua Lu, Xiwei Xu, Liming Zhu, Haonan Yao:
Applying Design Patterns in Smart Contracts - A Case Study on a Blockchain-Based Traceability Application. ICBC 2018: 92-106 - [c42]Qinghua Lu, Xiwei Xu, Yue Liu, Weishan Zhang:
Design Pattern as a Service for Blockchain Applications. ICDM Workshops 2018: 128-135 - 2017
- [c41]Zheng Li, Maria Kihl, Qinghua Lu, Jens A. Andersson:
Performance Overhead Comparison between Hypervisor and Container Based Virtualization. AINA 2017: 955-962 - [c40]Weishan Zhang, Hao Lv, Liang Xu, Yan Liu, Xin Liu, Qinghua Lu, Zhongwei Li, Jiehan Zhou:
An Online-Offline Combined Big Data Mining Platform. DASC/PiCom/DataCom/CyberSciTech 2017: 1220-1225 - [c39]Sin Kuang Lo, Xiwei Xu, Yin Kia Chiam, Qinghua Lu:
Evaluating Suitability of Applying Blockchain. ICECCS 2017: 158-161 - 2016
- [c38]Mohammad Adibuzzaman, Hiroyuki Ohsaki, Satish Puri, Qinghua Lu:
Message from the Doctoral Symposium Co-Chairs. COMPSAC 2016: 493 - [c37]Lina Yao, Boualem Benatallah, Xianzhi Wang, Nguyen Khoi Tran, Qinghua Lu:
Context as a Service: Realizing Internet of Things-Aware Processes for the Independent Living of the Elderly. ICSOC 2016: 763-779 - [c36]Weishan Zhang, Bo Li, Dehai Zhao, Faming Gong, Qinghua Lu:
Workload Prediction for Cloud Cluster Using a Recurrent Neural Network. IIKI 2016: 104-109 - [c35]Weishan Zhang, Zhichao Wang, Liang Xu, Dehai Zhao, Faming Gong, Qinghua Lu:
An Empirical Study on Big Video Data Processing: Architectural Styles, Issues, and Challenges. IIKI 2016: 110-115 - 2015
- [c34]Min Fu, Liming Zhu, Daniel Sun, Anna Liu, Len Bass, Qinghua Lu:
Runtime Recovery Actions Selection for Sporadic Operations on Cloud. ASWEC 2015: 185-194 - [c33]Dongyao Wu, Sherif Sakr, Liming Zhu, Qinghua Lu:
Composable and efficient functional big data processing framework. IEEE BigData 2015: 279-286 - [c32]Qinghua Lu, Liming Zhu, He Zhang, Dongyao Wu, Zheng Li, Xiwei Xu:
MapReduce Job Optimization: A Mapping Study. CCBD 2015: 81-88 - [c31]Weishan Zhang, Pengcheng Duan, Qinghua Lu:
Towards a Load-Aware Scheduling Framework for Realtime Video Cloud. IIKI 2015: 1-6 - [c30]Qinghua Lu, Shanshan Li, Weishan Zhang:
Genetic Algorithm Based Job Scheduling for Big Data Analytics. IIKI 2015: 33-38 - [c29]Weishan Zhang, Dehai Zhao, Wenjuan Gong, Zhongwei Li, Qinghua Lu, Su Yang:
Food Image Recognition with Convolutional Neural Networks. UIC/ATC/ScalCom 2015: 690-693 - [c28]Weishan Zhang, Licheng Chen, Wenjuan Gong, Zhongwei Li, Qinghua Lu, Su Yang:
An Integrated Approach for Vehicle Detection and Type Recognition. UIC/ATC/ScalCom 2015: 798-801 - [c27]Shanshan Li, Qinghua Lu, Weishan Zhang, Liming Zhu:
A MapReduce Cluster Deployment Optimization Framework with Geo-distributed Data. UIC/ATC/ScalCom 2015: 943-949 - [c26]Weishan Zhang, Ning Wang, Qinghua Lu, Su Yang:
Experiences on a Video Management Cloud Based on Hadoop. UIC/ATC/ScalCom 2015: 950-955 - [c25]Weishan Zhang, Xin Meng, Zhongwei Li, Qinghua Lu, Shaochao Tan:
Emotion Recognition in Speech Using Multi-classification SVM. UIC/ATC/ScalCom 2015: 1181-1186 - 2014
- [c24]Qinghua Lu, Liming Zhu, Xiwei Xu, Len Bass, Shanshan Li, Weishan Zhang, Ning Wang:
Mechanisms and Architectures for Tail-Tolerant System Operations in Cloud. HotCloud 2014 - [c23]Weishan Zhang, Liang Xu, Pengcheng Duan, Wenjuan Gong, Xin Liu, Qinghua Lu:
Towards a High Speed Video Cloud Based on Batch Processing Integrated with Fast Processing. IIKI 2014: 28-33 - [c22]Kewen Li, Wenrong Zhang, Qinghua Lu, Xianghua Fang:
An Improved SMOTE Imbalanced Data Classification Method Based on Support Degree. IIKI 2014: 34-38 - [c21]Weishan Zhang, Wenshan Wang, Pengcheng Duan, Xin Liu, Qinghua Lu:
Online Multiperson Tracking and Counting with Cloud Computing. IIKI 2014: 72-75 - [c20]Weishan Zhang, Shouchao Tan, Qinghua Lu, Xin Liu:
Towards a Genetic Algorithm Based Approach for Task Migrations. IIKI 2014: 182-187 - [c19]Weishan Zhang, Pengcheng Duan, Qinghua Lu, Xin Liu:
A Realtime Framework for Video Object Detection with Storm. UIC/ATC/ScalCom 2014: 732-737 - 2013
- [c18]Jim Zhanwen Li, Qinghua Lu, Liming Zhu, Len Bass, Xiwei Xu, Sherif Sakr, Paul L. Bannerman, Anna Liu:
Improving Availability of Cloud-Based Applications through Deployment Choices. IEEE CLOUD 2013: 43-50 - [c17]Qinghua Lu, Xiwei Xu, Liming Zhu, Len Bass, Zhanwen Li, Sherif Sakr, Paul L. Bannerman, Anna Liu:
Incorporating Uncertainty into In-Cloud Application Deployment Decisions for Availability. IEEE CLOUD 2013: 454-461 - [c16]Xiwei Xu, Liming Zhu, Jim Zhanwen Li, Len Bass, Qinghua Lu, Min Fu:
Modeling and analysing operation processes for dependability. DSN 2013: 1-2 - [c15]Weishan Zhang, Licheng Chen, Qinghua Lu, Yuan Rao, Jiehan Zhou:
Towards an OSGi Based Pervasive Cloud Infrastructure. GreenCom/iThings/CPScom 2013: 418-425 - [c14]Weishan Zhang, Xin Meng, Qinghua Lu, Yuan Rao, Jiehan Zhou:
A Hybrid Emotion Recognition on Android Smart Phones. GreenCom/iThings/CPScom 2013: 1313-1318 - [c13]Xiwei Xu, Ingo Weber, Liming Zhu, Yan Liu, Paul Rimba, Qinghua Lu:
BPMashup: Dynamic Execution of RESTful Processes. ICSOC Workshops 2013: 447-450 - [c12]Weishan Zhang, Licheng Chen, Qinghua Lu, Peiying Zhang, Su Yang:
Flexible Component Migration in an OSGi Based Pervasive Cloud Infrastructure. ICSOC Workshops 2013: 505-514 - [c11]Zhanshan Zhang, Xin Meng, Peiying Zhang, Weishan Zhang, Qinghua Lu:
Hybrid Emotion Recognition Using Semantic Similarity. ICSOC Workshops 2013: 515-526 - [c10]Xiwei Xu, Qinghua Lu, Liming Zhu, Zhanwen Li, Sherif Sakr, Hiroshi Wada, Ingo Weber:
Availability analysis for deployment of in-cloud applications. ISARCS 2013: 11-16 - [c9]Qinghua Lu, Liming Zhu, Len Bass, Xiwei Xu, Zhanwen Li, Hiroshi Wada:
Cloud API issues: an empirical study and impact. QoSA 2013: 23-32 - 2012
- [c8]Qinghua Lu, Xiwei Xu, Vladimir Tosic, Liming Zhu:
Application of Business-Driven Decision Making to RESTful Business Processes. ICSOC 2012: 404-419 - 2011
- [c7]Vladimir Tosic, Paul L. Bannerman, Nahid Ebrahimi Nejad, Qinghua Lu:
Extending WS-Policy4MASC language and MiniZnMASC middleware with BMM business motivation. ICAC 2011: 189-190 - [c6]Qinghua Lu, Vladimir Tosic, Paul L. Bannerman:
Support for the Business Motivation Model in the WS-Policy4MASC Language and MiniZnMASC Middleware. ICSOC 2011: 265-279 - [c5]Qinghua Lu, Vladimir Tosic:
Support for concurrent adaptation of multiple Web service compositions to maximize business metrics. Integrated Network Management 2011: 241-248 - [c4]Qinghua Lu, Vladimir Tosic:
Using MiniZnMASC Middleware with Different Algorithms for Business-Driven Adaptation of Business Processes. POLICY 2011: 188-190 - [c3]Qinghua Lu:
Autonomic Business-Driven Decision Making for Adaptation of Web Service Compositions. SERVICES 2011: 73-76 - 2010
- [c2]Qinghua Lu, Vladimir Tosic:
MiniMASC: A Framework for Diverse Autonomic Adaptations of Web Service Compositions. UIC/ATC Workshops 2010: 460-468 - [c1]Qinghua Lu, Vladimir Tosic:
MiniMASC+MiniZinc: An Autonomic Business-Driven Decision Making Middleware for Adaptation of Web Service Compositions. UIC/ATC Workshops 2010: 474-477
Editorship
- 2023
- [e3]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] - 2022
- [e2]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] - [e1]Qinghua Lu, Xiwei Xu, Liming Zhu, John Grundy:
Proceedings of the 1st Workshop on Software Engineering for Responsible AI, SE4RAI 2022, Pittsburgh, Pennsylvania, 19 May 2022. ACM 2022, ISBN 978-1-4503-9319-5 [contents]
Informal and Other Publications
- 2024
- [i72]Conrad Sanderson, Emma Schleiger, David Douglas, Petra Kuhnert, Qinghua Lu:
Resolving Ethics Trade-offs in Implementing Responsible AI. CoRR abs/2401.08103 (2024) - 2023
- [i71]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) - [i70]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) - [i69]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) - [i68]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) - [i67]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) - [i66]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) - [i65]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) - [i64]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) - [i63]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) - [i62]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) - [i61]Conrad Sanderson, David Douglas, Qinghua Lu:
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects. CoRR abs/2304.08275 (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]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) - [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]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) - [i54]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) - [i53]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) - [i52]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) - [i51]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) - [i50]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) - [i49]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) - [i48]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) - [i47]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) - [i46]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) - [i45]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) - [i44]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) - [i43]Qing Huang, Zhenyu Wan, Zhenchang Xing, Changjing Wang, Jieshan Chen, Xiwei Xu, Qinghua Lu:
Let's Chat to Find the APIs: Connecting Human, LLM and Knowledge Graph through AI Chain. CoRR abs/2309.16134 (2023) - [i42]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) - [i41]Yixin Liu, Kaize Ding, Qinghua Lu, Fuyi Li, Leo Yu Zhang, Shirui Pan:
Towards Self-Interpretable Graph-Level Anomaly Detection. CoRR abs/2310.16520 (2023) - [i40]Tingting Bi, Guangsheng Yu, Qinghua Lu, Xiwei Xu, Nick van Beest:
The Privacy Pillar - A Conceptual Framework for Foundation Model-based Systems. CoRR abs/2311.06998 (2023) - [i39]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) - [i38]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) - [i37]Dawen Zhang, Boming Xia, Yue Liu, Xiwei Xu, Thong Hoang, Zhenchang Xing, Mark Staples, Qinghua Lu, Liming Zhu:
Navigating Privacy and Copyright Challenges Across the Data Lifecycle of Generative AI. CoRR abs/2311.18252 (2023) - 2022
- [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
- [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]Yue Liu, Qinghua Lu, Hye-Young Paik, Liming Zhu:
Defining Blockchain Governance Principles: A Comprehensive Framework. CoRR abs/2110.13374 (2021) - [i14]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) - [i13]Conrad Sanderson, David Douglas, Qinghua Lu, Emma Schleiger, Jon Whittle, Justine Lacey, Glenn J. Newnham, Stefan Hajkowicz, Cathy Robinson, David Hansen:
AI Ethics Principles in Practice: Perspectives of Designers and Developers. CoRR abs/2112.07467 (2021) - [i12]Bingyang Chen, Tao Chen, Xingjie Zeng, Weishan Zhang, Qinghua Lu, Zhaoxiang Hou, Jiehan Zhou, Sumi Helal:
Feature-context driven Federated Meta-Learning for Rare Disease Prediction. CoRR abs/2112.14364 (2021) - 2020
- [i11]Yue Liu, Qinghua Lu, Hye-Young Paik, Xiwei Xu, Shiping Chen, Liming Zhu:
Design-Pattern-as-a-Service for Blockchain-based Self-Sovereign Identity. CoRR abs/2005.01346 (2020) - [i10]Yue Liu, Qinghua Lu, Hye-Young Paik, Xiwei Xu:
Design Patterns for Blockchain-based Self-Sovereign Identity. CoRR abs/2005.12112 (2020) - [i9]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. CoRR abs/2005.12685 (2020) - [i8]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. CoRR abs/2007.11354 (2020) - [i7]Weishan Zhang, Qinghua Lu, Qiuyu Yu, Zhaotong Li, Yue Liu, Sin Kit Lo, Shiping Chen, Xiwei Xu, Liming Zhu:
Blockchain-based Federated Learning for Failure Detection in Industrial IoT. CoRR abs/2009.02643 (2020) - [i6]Yue Liu, Qinghua Lu, Chunsheng Zhu, Qiuyu Yu:
A Blockchain-based Platform Architecture for Multimedia Data Management. CoRR abs/2009.03012 (2020) - [i5]Weishan Zhang, Tao Zhou, Qinghua Lu, Xiao Wang, Chunsheng Zhu, Haoyun Sun, Zhipeng Wang, Sin Kit Lo, Feiyue Wang:
Dynamic Fusion based Federated Learning for COVID-19 Detection. CoRR abs/2009.10401 (2020) - [i4]Han Zheng, Pengfei Wei, Jing Jiang, Guodong Long, Qinghua Lu, Chengqi Zhang:
Cooperative Heterogeneous Deep Reinforcement Learning. CoRR abs/2011.00791 (2020) - 2019
- [i3]Ingo Weber, Qinghua Lu, An Binh Tran, Amit Deshmukh, Marek Górski, Markus Strazds:
A Platform Architecture for Multi-Tenant Blockchain-Based Systems. CoRR abs/1901.11219 (2019) - [i2]Qinghua Lu, Xiwei Xu, Yue Liu, Ingo Weber, Liming Zhu, Weishan Zhang:
uBaaS: A Unified Blockchain as a Service Platform. CoRR abs/1907.13293 (2019) - 2017
- [i1]Zheng Li, Maria Kihl, Qinghua Lu, Jens A. Andersson:
Performance Overhead Comparison between Hypervisor and Container based Virtualization. CoRR abs/1708.01388 (2017)
Coauthor Index
Hye-Young Paik
aka: Hye-young Paik
aka: Hye-young Paik
Xiwei Xu 0001
aka: Sherry Xu
aka: Sherry Xu
[j66] [j65] [j64] [j63] [j62] [j60] [j59] [j55] [j53] [j47] [j40] [j35] [j34] [j31] [j29] [j28] [j27] [j25] [j23] [j20] [j12] [j9] [j4] [j2] [c87] [c85] [c84] [c83] [c82] [c79] [c78] [c74] [c72] [c70] [c67] [c66] [c65] [c64] [c63] [c62] [c59] [c58] [c53] [c52] [c48] [c47] [c44] [c43] [c42] [c39] [c32] [c24] [c18] [c17] [c16] [c13] [c10] [c9] [c8] [e1] [i71] [i69] [i67] [i66] [i65] [i64] [i62] [i60] [i58] [i57] [i55] [i54] [i52] [i51] [i50] [i48] [i45] [i43] [i42] [i40] [i39] [i37] [i34] [i33] [i31] [i30] [i29] [i26] [i25] [i24] [i23] [i18] [i16] [i14] [i11] [i10] [i9] [i7] [i2]
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