Qinghua Lu

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 205

Top Venues

CoRR

IEEE Internet Things J.

IIKI

IEEE Softw.

Publications

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) (2024)
Yan Liu, Abdelwahab Hamou-Lhadj, Jiye Li, Qinghua Lu
Observability and Explainability for Software Systems Decision Making. IEEE Softw. 41 (1) (2024)
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) (2024)
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 (2024)
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) (2024)
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) (2024)
Conrad Sanderson, Emma Schleiger, David Douglas, Petra Kuhnert, Qinghua Lu
Resolving Ethics Trade-offs in Implementing Responsible AI. CoRR (2024)
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 (2023)
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 (2023)
Conrad Sanderson, David Douglas, Qinghua Lu
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects. IJCNN (2023)
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)
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 (2023)
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 (2023)
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)
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) (2023)
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) (2023)
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 (2023)
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) (2023)
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 (2023)
Yue Liu, Qinghua Lu, Hye-Young Paik, Guangsheng Yu, Liming Zhu
Decision Models for Selecting Patterns in Governance-driven Blockchain Systems. Blockchain (2023)
Sin Kit Lo, Yue Liu, Guangsheng Yu, Qinghua Lu, Xiwei Xu, Liming Zhu
Distributed Trust Through the Lens of Software Architecture. CoRR (2023)
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)
Rifat Ara Shams, Muneera Bano, Didar Zowghi, Qinghua Lu, Jon Whittle
Human Value Requirements in AI Systems: Empirical Analysis of Amazon Alexa. REW (2023)
Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. AAAI (2023)
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 (2023)
Yue Liu, Qinghua Lu, Guangsheng Yu, Hye-Young Paik, Liming Zhu
A Pattern-Oriented Reference Architecture for Governance-Driven Blockchain Systems. ICSA (2023)
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) (2023)
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 (2023)
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)
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 (2023)
Yue Liu, Qinghua Lu, Liming Zhu, Hye-Young Paik, Mark Staples
A systematic literature review on blockchain governance. J. Syst. Softw. 197 (2023)
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 (2023)
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)
Tingting Bi, Boming Xia, Zhenchang Xing, Qinghua Lu, Liming Zhu
On the Way to SBOMs: Investigating Design Issues and Solutions in Practice. CoRR (2023)
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)
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 (2023)
Conrad Sanderson, David Douglas, Qinghua Lu
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects. CoRR (2023)
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)
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 (2023)
Yu Cheng, Jieshan Chen, Qing Huang, Zhenchang Xing, Xiwei Xu, Qinghua Lu
Prompt Sapper: A LLM-Empowered Production Tool for Building AI Chains. CoRR (2023)
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)
Yixin Liu, Kaize Ding, Qinghua Lu, Fuyi Li, Leo Yu Zhang, Shirui Pan
Towards Self-Interpretable Graph-Level Anomaly Detection. NeurIPS (2023)
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 (2023)
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)
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)
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 (2023)
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) (2023)
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 (2023)
Boming Xia, Qinghua Lu, Harsha Perera, Liming Zhu, Zhenchang Xing, Yue Liu, Jon Whittle
AIRA): A Systematic Mapping Study. CAIN (2023)
Tingting Bi, Guangsheng Yu, Qinghua Lu, Xiwei Xu, Nick van Beest
The Privacy Pillar - A Conceptual Framework for Foundation Model-based Systems. CoRR (2023)
Yixin Liu, Kaize Ding, Qinghua Lu, Fuyi Li, Leo Yu Zhang, Shirui Pan
Towards Self-Interpretable Graph-Level Anomaly Detection. CoRR (2023)
Qinghua Lu, Liming Zhu, Jon Whittle, James Bret Michael
Software Engineering for Responsible AI. Computer 56 (4) (2023)
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 (2023)
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 (2023)
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)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
Qinghua Lu, Liming Zhu, Xiwei Xu, Zhenchang Xing, Jon Whittle
A Framework for Designing Foundation Model based Systems. CoRR (2023)
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 (2023)
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) (2023)
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 (2023)
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 (2023)
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) (2023)
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)
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)
Boming Xia, Qinghua Lu, Harsha Perera, Liming Zhu, Zhenchang Xing, Yue Liu, Jon Whittle
A Survey on AI Risk Assessment Frameworks. CoRR (2023)
Zhenchang Xing, Qing Huang, Yu Cheng, Liming Zhu, Qinghua Lu, Xiwei Xu
Prompt Sapper: LLM-Empowered Software Engineering Infrastructure for AI-Native Services. CoRR (2023)
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) (2023)
Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, Zhenchang Xing
Towards a Roadmap on Software Engineering for Responsible AI. CoRR (2022)
Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Qinghua Lu, Jing Jiang, Chengqi Zhang
FedProto: Federated Prototype Learning across Heterogeneous Clients. AAAI (2022)
Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, Didar Zowghi, Aurelie Jacquet
Responsible AI Pattern Catalogue: A Multivocal Literature Review. CoRR (2022)
Jiamou Sun, Zhenchang Xing, Xiwei Xu, Liming Zhu, Qinghua Lu
Heterogeneous Vulnerability Report Traceability Recovery by Vulnerability Aspect Matching. ICSME (2022)
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 (2022)
Yue Liu, Qinghua Lu, Guangsheng Yu, Hye-Young Paik, Harsha Perera, Liming Zhu
A Pattern Collection for Blockchain Governance. CoRR (2022)
Conrad Sanderson, Qinghua Lu, David Douglas, Xiwei Xu, Liming Zhu, Jon Whittle
Towards Operationalising Responsible AI: An Empirical Study. CoRR (2022)
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) (2022)
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 (2022)
Xiwei Xu, Chen Wang, Zhen Wang, Qinghua Lu, Liming Zhu
Dependency Tracking for Risk Mitigation in Machine Learning (ML) Systems. ICSE (SEIP) (2022)
Rahma Mukta, Hye-Young Paik, Qinghua Lu, Salil S. Kanhere
CredTrust: Credential Based Issuer Management for Trust in Self-Sovereign Identity. Blockchain (2022)
Ou Wu, Shanshan Li, Liwen Liu, He Zhang, Xin Zhou, Qinghua Lu
Performance Modeling of Hyperledger Fabric 2.0. EASE (2022)
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 (2022)
Peiying Zhang, Chao Wang, Chunxiao Jiang, Neeraj Kumar, Qinghua Lu
Resource Management and Security Scheme of ICPSs and IoT Based on VNE Algorithm. CoRR (2022)
Yue Liu, Qinghua Lu, Guangsheng Yu, Hye-Young Paik, Harsha Perera, Liming Zhu
A Pattern Language for Blockchain Governance. EuroPLoP (2022)
Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, Zhenchang Xing
Towards a roadmap on software engineering for responsible AI. CAIN (2022)
Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle
Responsible-AI-by-Design: a Pattern Collection for Designing Responsible AI Systems. CoRR (2022)
Sin Kit Lo, Qinghua Lu, Hye-Young Paik, Liming Zhu
A Decision Model for Federated Learning Architecture Pattern Selection. CoRR (2022)
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)
Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. CoRR (2022)
Rahma Mukta, Hye-young Paik, Qinghua Lu, Salil S. Kanhere
A survey of data minimisation techniques in blockchain-based healthcare. Comput. Networks 205 (2022)
Yue Liu, Qinghua Lu, Guangsheng Yu, Hye-Young Paik, Liming Zhu
Defining blockchain governance principles: A comprehensive framework. Inf. Syst. 109 (2022)
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 (2022)
Yue Liu, Qinghua Lu, Guangsheng Yu, Hye-Young Paik, Liming Zhu
BGRA: A Reference Architecture for Blockchain Governance. CoRR (2022)
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) (2022)
Oscar Golding, Guangsheng Yu, Qinghua Lu, Xiwei Xu
Carboncoin: Blockchain Tokenization of Carbon Emissions with ESG-based Reputation. ICBC (2022)
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) (2022)
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 (2022)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Qinghua Lu