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ORCIDQinghua Lu 0001
- > Home > Persons > Qinghua Lu 0001
Publications
- 2025
[j94]Linh T. Nguyen, Lam Duc Nguyen
, Thong Hoang, Herath Mudiyanselage Nelanga Dilum Bandara, Qin Wang, Qinghua Lu, Xiwei Xu, Liming Zhu, Shiping Chen:
Blockchain-Empowered Trustworthy Data Sharing: Fundamentals, Applications, and Challenges. ACM Comput. Surv. 57(8): 195:1-195:36 (2025)- [j91]Mykhailo V. Klymenko, Thong Hoang, Xiwei Xu, Zhenchang Xing, Muhammad Usman, Qinghua Lu, Liming Zhu:
Architectural patterns for designing quantum artificial intelligence systems. J. Syst. Softw. 227: 112456 (2025) - [j90]Hong Quy Nguyen, Thong Hoang, Hoa Khanh Dam, Guoxin Su, Zhenchang Xing, Qinghua Lu, Jiamou Sun:
Human-understandable explanation for software vulnerability prediction. J. Syst. Softw. 228: 112455 (2025) - 2024
- [j80]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) - [c104]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 - [i75]Mykhailo V. Klymenko, Thong Hoang, Xiwei Xu, Zhenchang Xing, Muhammad Usman, Qinghua Lu, Liming Zhu:
Architectural Patterns for Designing Quantum Artificial Intelligence Systems. CoRR abs/2411.10487 (2024) - 2023
- [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 - [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 - [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) - [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) - [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) - [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) - [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)
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