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2020 – today
- 2024
[j4]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)- [c12]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 - [c11]Shidong Pan, Zhen Tao, Thong Hoang, Dawen Zhang, Tianshi Li, Zhenchang Xing, Xiwei Xu, Mark Staples, Thierry Rakotoarivelo, David Lo:
A NEW HOPE: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation. USENIX Security Symposium 2024 - [c10]Shidong Pan, Dawen Zhang, Mark Staples, Zhenchang Xing, Jieshan Chen, Xiwei Xu, Thong Hoang:
Is It a Trap? A Large-scale Empirical Study And Comprehensive Assessment of Online Automated Privacy Policy Generators for Mobile Apps. USENIX Security Symposium 2024 - [i20]Ratnadira Widyasari, Sheng Qin Sim, Camellia Lok, Haodi Qi, Jack Phan, Qijin Tay, Constance Tan, Fiona Wee, Jodie Ethelda Tan, Yuheng Yieh, Brian Goh, Ferdian Thung, Hong Jin Kang, Thong Hoang, David Lo, Eng Lieh Ouh:
BugsInPy: A Database of Existing Bugs in Python Programs to Enable Controlled Testing and Debugging Studies. CoRR abs/2401.15481 (2024) - [i19]Shidong Pan, Zhen Tao, Thong Hoang, Dawen Zhang, Tianshi Li, Zhenchang Xing, Sherry Xu, Mark Staples, Thierry Rakotoarivelo, David Lo:
{A New Hope}: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation. CoRR abs/2402.14544 (2024) - [i18]Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, Han Hu, Wenhao Yu, Ratnadira Widyasari, Imam Nur Bani Yusuf, Haolan Zhan, Junda He, Indraneil Paul, Simon Brunner, Chen Gong, Thong Hoang, Armel Randy Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, Naman Jain, Alex Gu, Zhoujun Cheng, Jiawei Liu, Qian Liu, Zijian Wang, David Lo, Binyuan Hui, Niklas Muennighoff, Daniel Fried, Xiaoning Du, Harm de Vries, Leandro von Werra:
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions. CoRR abs/2406.15877 (2024) - 2023
- [c9]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 - [c8]Bowen Xu, Thanh-Dat Nguyen, Thanh Le-Cong, Thong Hoang, Jiakun Liu, Kisub Kim, Chen Gong, Changan Niu, Chenyu Wang, Xuan-Bach Dinh Le, David Lo:
Are We Ready to Embrace Generative AI for Software Q&A? ASE 2023: 1713-1717 - [c7]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 - [i17]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) - [i16]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) - [i15]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) - [i14]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) - [i13]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) - [i12]Shidong Pan, Zhen Tao, Thong Hoang, Dawen Zhang, Zhenchang Xing, Xiwei Xu, Mark Staples, David Lo:
SeePrivacy: Automated Contextual Privacy Policy Generation for Mobile Applications. CoRR abs/2307.01691 (2023) - [i11]Dawen Zhang, Pamela Finckenberg-Broman, Thong Hoang, Shidong Pan, Zhenchang Xing, Mark Staples, Xiwei Xu:
Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions. CoRR abs/2307.03941 (2023) - [i10]Bowen Xu, Thanh-Dat Nguyen, Thanh Le-Cong, Thong Hoang, Jiakun Liu, Kisub Kim, Chen Gong, Changan Niu, Chenyu Wang, Xuan-Bach Dinh Le, David Lo:
Are We Ready to Embrace Generative AI for Software Q&A? CoRR abs/2307.09765 (2023) - [i9]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) - [i8]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) - [i7]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) - [i6]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
- [j3]Bowen Xu, Thong Hoang, Abhishek Sharma, Chengran Yang, Xin Xia, David Lo:
Post2Vec: Learning Distributed Representations of Stack Overflow Posts. IEEE Trans. Software Eng. 48(9): 3423-3441 (2022) - 2021
- [j2]Thong Hoang, Julia Lawall, Yuan Tian, Richard Jayadi Oentaryo, David Lo:
PatchNet: Hierarchical Deep Learning-Based Stable Patch Identification for the Linux Kernel. IEEE Trans. Software Eng. 47(11): 2471-2486 (2021) - 2020
- [c6]Thong Hoang, Hong Jin Kang, David Lo, Julia Lawall:
CC2Vec: distributed representations of code changes. ICSE 2020: 518-529 - [c5]Ratnadira Widyasari, Sheng Qin Sim, Camellia Lok, Haodi Qi, Jack Phan, Qijin Tay, Constance Tan, Fiona Wee, Jodie Ethelda Tan, Yuheng Yieh, Brian Goh, Ferdian Thung, Hong Jin Kang, Thong Hoang, David Lo, Eng Lieh Ouh:
BugsInPy: a database of existing bugs in Python programs to enable controlled testing and debugging studies. ESEC/SIGSOFT FSE 2020: 1556-1560 - [c4]Roy Ka-Wei Lee, Thong Hoang, Richard Jayadi Oentaryo, David Lo:
Keen2Act: Activity Recommendation in Online Social Collaborative Platforms. UMAP 2020: 308-312 - [i5]Thong Hoang, Hong Jin Kang, Julia Lawall, David Lo:
CC2Vec: Distributed Representations of Code Changes. CoRR abs/2003.05620 (2020) - [i4]Roy Ka-Wei Lee, Thong Hoang, Richard Jayadi Oentaryo, David Lo:
Keen2Act: Activity Recommendation in Online Social Collaborative Platforms. CoRR abs/2005.04833 (2020)
2010 – 2019
- 2019
- [j1]Thong Hoang, Richard Jayadi Oentaryo, Tien-Duy B. Le, David Lo:
Network-Clustered Multi-Modal Bug Localization. IEEE Trans. Software Eng. 45(10): 1002-1023 (2019) - [c3]Thong Hoang, Julia Lawall, Richard Jayadi Oentaryo, Yuan Tian, David Lo:
PatchNet: a tool for deep patch classification. ICSE (Companion Volume) 2019: 83-86 - [c2]Thong Hoang, Hoa Khanh Dam, Yasutaka Kamei, David Lo, Naoyasu Ubayashi:
DeepJIT: an end-to-end deep learning framework for just-in-time defect prediction. MSR 2019: 34-45 - [i3]Thong Hoang, Julia Lawall, Richard Jayadi Oentaryo, Yuan Tian, David Lo:
PatchNet: A Tool for Deep Patch Classification. CoRR abs/1903.02063 (2019) - [i2]Thong Hoang, Julia Lawall, Yuan Tian, Richard Jayadi Oentaryo, David Lo:
PatchNet: Hierarchical Deep Learning-Based Stable Patch Identification for the Linux Kernel. CoRR abs/1911.03576 (2019) - 2018
- [i1]Thong Hoang, Richard Jayadi Oentaryo, Tien-Duy B. Le, David Lo:
Network-Clustered Multi-Modal Bug Localization. CoRR abs/1802.09729 (2018) - 2016
- [c1]Thong Hoang, Pei Hua Cher, Philips Kokoh Prasetyo, Ee-Peng Lim:
Crowdsensing and analyzing micro-event tweets for public transportation insights. IEEE BigData 2016: 2157-2166
Coauthor Index
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