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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.org/img/orcid-mark.12x12.png "0000-0002-3781-4361")
— Foshan University, College of Mechanical and Electrical Engineering, China - Qinghua Lu 0003 — Hefei University, Department of Artificial Intelligence and Big Data, China
- Qinghua Lu 0004 — China University of Geosciences, School of Computer Science, Wuhan, China
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2020 – today
- 2025
[j79]Yue Liu, Sin Kit Lo, Qinghua Lu, Liming Zhu, Dehai Zhao, Xiwei Xu, Stefan Harrer, Jon Whittle:
Agent design pattern catalogue: A collection of architectural patterns for foundation model based agents. J. Syst. Softw. 220: 112278 (2025)- 2024
- [j78]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. AI Ethics 4(1): 83-93 (2024) - [j77]Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, Didar Zowghi, Aurelie Jacquet:
Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering. ACM Comput. Surv. 56(7): 173:1-173:35 (2024) - [j76]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) - [j75]Weishan Zhang, Tao Zhou, Qinghua Lu, Yong Yuan, Amr Tolba, Wael Said:
FedSL: A Communication-Efficient Federated Learning With Split Layer Aggregation. IEEE Internet Things J. 11(9): 15587-15601 (2024) - [j74]Zejun Zhang, Zhenchang Xing, Xiaoxue Ren, Qinghua Lu, Xiwei Xu:
Refactoring to Pythonic Idioms: A Hybrid Knowledge-Driven Approach Leveraging Large Language Models. Proc. ACM Softw. Eng. 1(FSE): 1107-1128 (2024) - [j73]Yan Liu, Abdelwahab Hamou-Lhadj, Jiye Li, Qinghua Lu:
Observability and Explainability for Software Systems Decision Making. IEEE Softw. 41(1): 45-49 (2024) - [j72]Yue Liu, Qinghua Lu, Liming Zhu, Hye-Young Paik:
Decentralized Governance-Driven Architecture for Designing Foundation-Model-Based Systems: Exploring the Role of Blockchain in Responsible AI. IEEE Softw. 41(5): 34-42 (2024) - [j71]Qinghua Lu, Liming Zhu, Xiwei Xu, Zhenchang Xing, Jon Whittle:
Toward Responsible AI in the Era of Generative AI: A Reference Architecture for Designing Foundation Model-Based Systems. IEEE Softw. 41(6): 91-100 (2024) - [j70]Liangrong Zhao, Jérémie Decouchant, Joseph K. Liu, Qinghua Lu, Jiangshan Yu:
Trusted Hardware-Assisted Leaderless Byzantine Fault Tolerance Consensus. IEEE Trans. Dependable Secur. Comput. 21(6): 5086-5097 (2024) - [j69]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. IEEE Trans. Knowl. Data Eng. 36(12): 9220-9234 (2024) - [j68]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) - [j67]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) - [j66]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) - [j65]Yu Cheng, Jieshan Chen, Qing Huang, Zhenchang Xing, Xiwei Xu, Qinghua Lu:
Prompt Sapper: A LLM-Empowered Production Tool for Building AI Chains. ACM Trans. Softw. Eng. Methodol. 33(5): 124:1-124:24 (2024) - [j64]Tingting Bi, Boming Xia, Zhenchang Xing, Qinghua Lu, Liming Zhu:
On the Way to SBOMs: Investigating Design Issues and Solutions in Practice. ACM Trans. Softw. Eng. Methodol. 33(6): 149 (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) - [c105]Boming Xia, Qinghua Lu, Liming Zhu, Zhenchang Xing:
An AI System Evaluation Framework for Advancing AI Safety: Terminology, Taxonomy, Lifecycle Mapping. AIware 2024 - [c104]Qinghua Lu, Liming Zhu, Xiwei Xu, Yue Liu, Zhenchang Xing, Jon Whittle:
A Taxonomy of Foundation Model based Systems through the Lens of Software Architecture. CAIN 2024: 1-6 - [c103]Dawen Zhang, Boming Xia, Yue Liu, Xiwei Xu, Thong Hoang, Zhenchang Xing, Mark Staples, Qinghua Lu, Liming Zhu:
Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective. CAIN 2024: 92-97 - [c102]Boming Xia, Qinghua Lu, Liming Zhu, Sung Une Lee, Yue Liu, Zhenchang Xing:
Towards a Responsible AI Metrics Catalogue: A Collection of Metrics for AI Accountability. CAIN 2024: 100-111 - [c101]Rahma Mukta, Hye-Young Paik, Qinghua Lu, Salil S. Kanhere:
CredAct: Privacy-Preserving Activity Verification for Benefits Schemes in Self-Sovereign Identity. ICBC 2024: 425-433 - [c100]Qinghua Lu, Liming Zhu, Xiwei Xu, Zhenchang Xing, Stefan Harrer, Jon Whittle:
Towards Responsible Generative AI: A Reference Architecture for Designing Foundation Model Based Agents. ICSA-C 2024: 119-126 - [c99]Yanqi Su, Dianshu Liao, Zhenchang Xing, Qing Huang, Mulong Xie, Qinghua Lu, Xiwei Xu:
Enhancing Exploratory Testing by Large Language Model and Knowledge Graph. ICSE 2024: 98:1-98:12 - [c98]Jiamou Sun, Jieshan Chen, Zhenchang Xing, Qinghua Lu, Xiwei Xu, Liming Zhu:
Where is it? Tracing the Vulnerability-relevant Files from Vulnerability Reports. ICSE 2024: 200:1-200:13 - [c97]Zejun Zhang, Zhenchang Xing, Dehai Zhao, Qinghua Lu, Xiwei Xu, Liming Zhu:
Hard to Read and Understand Pythonic Idioms? DeIdiom and Explain Them in Non-Idiomatic Equivalent Code. ICSE 2024: 227:1-227:12 - [c96]Boming Xia, Dawen Zhang, Yue Liu, Qinghua Lu, Zhenchang Xing, Liming Zhu:
Trust in Software Supply Chains: Blockchain-Enabled SBOM and the AIBOM Future. EnCyCriS/SVM 2024: 12-19 - [c95]Qinghua Lu:
Responsible AI Engineering from a Data Perspective (Keynote). SEA4DQ@SIGSOFT FSE 2024: 1 - [c94]Liming Dong, Qinghua Lu, Liming Zhu:
A Pilot Study in Surveying Data Challenges of Automatic Software Engineering Tasks. SEA4DQ@SIGSOFT FSE 2024: 6-11 - [i84]Conrad Sanderson, Emma Schleiger, David Douglas, Petra Kuhnert, Qinghua Lu:
Resolving Ethics Trade-offs in Implementing Responsible AI. CoRR abs/2401.08103 (2024) - [i83]Boming Xia, Qinghua Lu, Liming Zhu, Zhenchang Xing:
Towards AI Safety: A Taxonomy for AI System Evaluation. CoRR abs/2404.05388 (2024) - [i82]Yue Liu, Sin Kit Lo, Qinghua Lu, Liming Zhu, Dehai Zhao, Xiwei Xu, Stefan Harrer, Jon Whittle:
Agent Design Pattern Catalogue: A Collection of Architectural Patterns for Foundation Model based Agents. CoRR abs/2405.10467 (2024) - [i81]Zejun Zhang, Zhenchang Xing, Xiaoxue Ren, Qinghua Lu, Xiwei Xu:
Refactoring to Pythonic Idioms: A Hybrid Knowledge-Driven Approach Leveraging Large Language Models. CoRR abs/2406.03660 (2024) - [i80]Kacy Zhou, Jiawen Wen, Nan Yang, Dong Yuan, Qinghua Lu, Huaming Chen:
Fairpriori: Improving Biased Subgroup Discovery for Deep Neural Network Fairness. CoRR abs/2407.01595 (2024) - [i79]Sung Une Lee, Harsha Perera, Yue Liu, Boming Xia, Qinghua Lu, Liming Zhu, Jessica Cairns, Moana Nottage:
Integrating ESG and AI: A Comprehensive Responsible AI Assessment Framework. CoRR abs/2408.00965 (2024) - [i78]Md. Shamsujjoha, Qinghua Lu, Dehai Zhao, Liming Zhu:
Towards AI-Safety-by-Design: A Taxonomy of Runtime Guardrails in Foundation Model based Systems. CoRR abs/2408.02205 (2024) - [i77]Jingwen Zhou, Qinghua Lu, Jieshan Chen, Liming Zhu, Xiwei Xu, Zhenchang Xing, Stefan Harrer:
A Taxonomy of Architecture Options for Foundation Model-based Agents: Analysis and Decision Model. CoRR abs/2408.02920 (2024) - [i76]Sung Une Lee, Harsha Perera, Yue Liu, Boming Xia, Qinghua Lu, Liming Zhu:
Responsible AI Question Bank: A Comprehensive Tool for AI Risk Assessment. CoRR abs/2408.11820 (2024) - [i75]Harsha Perera, Sung Une Lee, Yue Liu, Boming Xia, Qinghua Lu, Liming Zhu, Jessica Cairns, Moana Nottage:
Achieving Responsible AI through ESG: Insights and Recommendations from Industry Engagement. CoRR abs/2409.10520 (2024) - [i74]Shidong Pan, Litian Wang, Tianyi Zhang, Zhenchang Xing, Yanjie Zhao, Qinghua Lu, Xiaoyu Sun:
"I Don't Use AI for Everything": Exploring Utility, Attitude, and Responsibility of AI-empowered Tools in Software Development. CoRR abs/2409.13343 (2024) - [i73]Jiale Zhang, Haoxuan Li, Di Wu, Xiaobing Sun, Qinghua Lu, Guodong Long:
Beyond Dataset Watermarking: Model-Level Copyright Protection for Code Summarization Models. CoRR abs/2410.14102 (2024) - [i72]Hao Sui, Bing Chen, Jiale Zhang, Chengcheng Zhu, Di Wu, Qinghua Lu, Guodong Long:
DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks. CoRR abs/2410.14105 (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) - [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 - [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] - [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
- [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]