Thong Hoang

According to our database, Thong Hoang authored at least 25 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

To be forgotten or to be fair: unveiling fairness implications of machine unlearning methods.

Dawen Zhang, Shidong Pan, Thong Hoang, Zhenchang Xing, Mark Staples, Xiwei Xu, Lina Yao, Qinghua Lu, Liming Zhu

AI Ethics, February, 2024

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.

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

CoRR, 2024

Is It a Trap? A Large-scale Empirical Study And Comprehensive Assessment of Online Automated Privacy Policy Generators for Mobile Apps.

Shidong Pan, Dawen Zhang, Mark Staples, Zhenchang Xing, Jieshan Chen, Xiwei Xu, Thong Hoang

Proceedings of the 33rd USENIX Security Symposium, 2024

A NEW HOPE: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation.

Shidong Pan, Zhen Tao, Thong Hoang, Dawen Zhang, Tianshi Li, Zhenchang Xing, Xiwei Xu, Mark Staples, Thierry Rakotoarivelo, David Lo

Proceedings of the 33rd USENIX Security Symposium, 2024

Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective.

Dawen Zhang, Boming Xia, Yue Liu, Xiwei Xu, Thong Hoang, Zhenchang Xing, Mark Staples, Qinghua Lu, Liming Zhu

Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering, 2024

2023

Navigating Privacy and Copyright Challenges Across the Data Lifecycle of Generative AI.

Dawen Zhang, Boming Xia, Yue Liu, Xiwei Xu, Thong Hoang, Zhenchang Xing, Mark Staples, Qinghua Lu, Liming Zhu

CoRR, 2023

Tag Your Fish in the Broken Net: A Responsible Web Framework for Protecting Online Privacy and Copyright.

Dawen Zhang, Boming Xia, Yue Liu, Xiwei Xu, Thong Hoang, Zhenchang Xing, Mark Staples, Qinghua Lu, Liming Zhu

CoRR, 2023

Quantum Software Analytics: Opportunities and Challenges.

Thong Hoang, Hoa Khanh Dam, Tingting Bi, Qinghua Lu, Zhenchang Xing, Liming Zhu, Lam Duc Nguyen, Shiping Chen

CoRR, 2023

Test-takers have a say: understanding the implications of the use of AI in language tests.

Dawen Zhang, Thong Hoang, Shidong Pan, Yongquan Hu, Zhenchang Xing, Mark Staples, Xiwei Xu, Qinghua Lu, Aaron Quigley

CoRR, 2023

Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions.

Dawen Zhang, Pamela Finckenberg-Broman, Thong Hoang, Shidong Pan, Zhenchang Xing, Mark Staples, Xiwei Xu

CoRR, 2023

SeePrivacy: Automated Contextual Privacy Policy Generation for Mobile Applications.

Shidong Pan, Zhen Tao, Thong Hoang, Dawen Zhang, Zhenchang Xing, Xiwei Xu, Mark Staples, David Lo

CoRR, 2023

Toward the Cure of Privacy Policy Reading Phobia: Automated Generation of Privacy Nutrition Labels From Privacy Policies.

Shidong Pan, Thong Hoang, Dawen Zhang, Zhenchang Xing, Xiwei Xu, Qinghua Lu, Mark Staples

CoRR, 2023

Blockchain-Empowered Trustworthy Data Sharing: Fundamentals, Applications, and Challenges.

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

CoRR, 2023

What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues.

Zhou Yang, Chenyu Wang, Jieke Shi, Thong Hoang, Pavneet Singh Kochhar, Qinghua Lu, Zhenchang Xing, David Lo

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

Are We Ready to Embrace Generative AI for Software Q&A?

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

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Silent Vulnerable Dependency Alert Prediction with Vulnerability Key Aspect Explanation.

Jiamou Sun, Zhenchang Xing, Qinghua Lu, Xiwei Xu, Liming Zhu, Thong Hoang, Dehai Zhao

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

Post2Vec: Learning Distributed Representations of Stack Overflow Posts.

Bowen Xu, Thong Hoang, Abhishek Sharma, Chengran Yang, Xin Xia, David Lo

IEEE Trans. Software Eng., 2022

2021

PatchNet: Hierarchical Deep Learning-Based Stable Patch Identification for the Linux Kernel.

Thong Hoang, Julia Lawall, Yuan Tian, Richard Jayadi Oentaryo, David Lo

IEEE Trans. Software Eng., 2021

2020

Keen2Act: Activity Recommendation in Online Social Collaborative Platforms.

Roy Ka-Wei Lee, Thong Hoang, Richard Jayadi Oentaryo, David Lo

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

BugsInPy: a database of existing bugs in Python programs to enable controlled testing and debugging studies.

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

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

CC2Vec: distributed representations of code changes.

Thong Hoang, Hong Jin Kang, David Lo, Julia Lawall

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

2019

Network-Clustered Multi-Modal Bug Localization.

Thong Hoang, Richard Jayadi Oentaryo, Tien-Duy B. Le, David Lo

IEEE Trans. Software Eng., 2019

DeepJIT: an end-to-end deep learning framework for just-in-time defect prediction.

Thong Hoang, Hoa Khanh Dam, Yasutaka Kamei, David Lo, Naoyasu Ubayashi

Proceedings of the 16th International Conference on Mining Software Repositories, 2019

PatchNet: a tool for deep patch classification.

Thong Hoang, Julia Lawall, Richard Jayadi Oentaryo, Yuan Tian, David Lo

Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings, 2019

2016

Crowdsensing and analyzing micro-event tweets for public transportation insights.

Thong Hoang, Pei Hua Cher, Philips Kokoh Prasetyo, Ee-Peng Lim

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016