Thong Hoang - RankMe

45 papers A* 5A 3B 1Journal 33Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Compiling Code LLMs into Lightweight Executables. CoRR Jieke Shi, Junda He, Zhou Yang, Chengran Yang, Mykhailo V. Klymenko, Thong Hoang, Xiwei Xu, Zhenchang Xing, David Lo
2026	J	`jnl`	ESG Reporting Lifecycle Management with Large Language Models and AI Agents. CoRR Thong Hoang, Mykhailo V. Klymenko, Xiwei Xu, Shidong Pan, Yi Ding, Xushuo Tang, Zhengyi Yang, Jieke Shi, David Lo
2025	J	`jnl`	Architectural patterns for designing quantum artificial intelligence systems. J. Syst. Softw. Mykhailo V. Klymenko, Thong Hoang, Xiwei Xu, Zhenchang Xing, Muhammad Usman, Qinghua Lu, Liming Zhu
2025	J	`jnl`	Blockchain-Empowered Trustworthy Data Sharing: Fundamentals, Applications, and Challenges. ACM Comput. Surv. Linh T. Nguyen, Lam Duc Nguyen, Thong Hoang, Herath Mudiyanselage Nelanga Dilum Bandara, Qin Wang, Qinghua Lu, Xiwei Xu, Liming Zhu, Shiping Chen
2025	J	`jnl`	EulerESG: Automating ESG Disclosure Analysis with LLMs. CoRR Yi Ding, Xushuo Tang, Zhengyi Yang, Wenqian Zhang, Simin Wu, Yuxin Huang, Lingjing Lan, Weiyuan Li, Yin Chen, Mingchen Ju, Wenke Yang, Thong Hoang, Mykhailo V. Klymenko, Xiwei Zu, Wenjie Zhang
2025	J	`jnl`	Graph-based explainable vulnerability prediction. Inf. Softw. Technol. Hong Quy Nguyen, Thong Hoang, Hoa Khanh Dam, Aditya Ghose
2025	J	`jnl`	Human-understandable explanation for software vulnerability prediction. J. Syst. Softw. Hong Quy Nguyen, Thong Hoang, Hoa Khanh Dam, Guoxin Su, Zhenchang Xing, Qinghua Lu, Jiamou Sun
2025	J	`jnl`	Right to be forgotten in the Era of large language models: implications, challenges, and solutions. AI Ethics Dawen Zhang, Pamela Finckenberg-Broman, Thong Hoang, Shidong Pan, Zhenchang Xing, Mark Staples, Xiwei Xu
2024	A*	`conf`	A NEW HOPE: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation. USENIX Security Symposium Shidong Pan, Zhen Tao, Thong Hoang, Dawen Zhang, Tianshi Li, Zhenchang Xing, Xiwei Xu, Mark Staples, Thierry Rakotoarivelo, David Lo
2024	J	`jnl`	Architectural Patterns for Designing Quantum Artificial Intelligence Systems. CoRR Mykhailo V. Klymenko, Thong Hoang, Xiwei Xu, Zhenchang Xing, Muhammad Usman, Qinghua Lu, Liming Zhu
2024	J	`jnl`	BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions. CoRR 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
2024	J	`jnl`	BugsInPy: A Database of Existing Bugs in Python Programs to Enable Controlled Testing and Debugging Studies. CoRR 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
2024	A*	`conf`	Is It a Trap? A Large-scale Empirical Study And Comprehensive Assessment of Online Automated Privacy Policy Generators for Mobile Apps. USENIX Security Symposium Shidong Pan, Dawen Zhang, Mark Staples, Zhenchang Xing, Jieshan Chen, Xiwei Xu, Thong Hoang
2024	B	`conf`	Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective. CAIN Dawen Zhang, Boming Xia, Yue Liu, Xiwei Xu, Thong Hoang, Zhenchang Xing, Mark Staples, Qinghua Lu, Liming Zhu
2024	J	`jnl`	To be forgotten or to be fair: unveiling fairness implications of machine unlearning methods. AI Ethics Dawen Zhang, Shidong Pan, Thong Hoang, Zhenchang Xing, Mark Staples, Xiwei Xu, Lina Yao, Qinghua Lu, Liming Zhu
2024	J	`jnl`	{A New Hope}: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation. CoRR Shidong Pan, Zhen Tao, Thong Hoang, Dawen Zhang, Tianshi Li, Zhenchang Xing, Sherry Xu, Mark Staples, Thierry Rakotoarivelo, David Lo
2023	A*	`conf`	Are We Ready to Embrace Generative AI for Software Q&A? ASE Bowen Xu, Thanh-Dat Nguyen, Thanh Le-Cong, Thong Hoang, Jiakun Liu, Kisub Kim, Chen Gong, Changan Niu, Chenyu Wang, Bach Le, David Lo
2023	J	`jnl`	Are We Ready to Embrace Generative AI for Software Q&A? CoRR Bowen Xu, Thanh-Dat Nguyen, Thanh Le-Cong, Thong Hoang, Jiakun Liu, Kisub Kim, Chen Gong, Changan Niu, Chenyu Wang, Bach Le, David Lo
2023	J	`jnl`	Blockchain-Empowered Trustworthy Data Sharing: Fundamentals, Applications, and Challenges. CoRR 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
2023	J	`jnl`	Navigating Privacy and Copyright Challenges Across the Data Lifecycle of Generative AI. CoRR Dawen Zhang, Boming Xia, Yue Liu, Xiwei Xu, Thong Hoang, Zhenchang Xing, Mark Staples, Qinghua Lu, Liming Zhu
2023	J	`jnl`	Quantum Software Analytics: Opportunities and Challenges. CoRR Thong Hoang, Hoa Khanh Dam, Tingting Bi, Qinghua Lu, Zhenchang Xing, Liming Zhu, Lam Duc Nguyen, Shiping Chen
2023	J	`jnl`	Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions. CoRR Dawen Zhang, Pamela Finckenberg-Broman, Thong Hoang, Shidong Pan, Zhenchang Xing, Mark Staples, Xiwei Xu
2023	J	`jnl`	SeePrivacy: Automated Contextual Privacy Policy Generation for Mobile Applications. CoRR Shidong Pan, Zhen Tao, Thong Hoang, Dawen Zhang, Zhenchang Xing, Xiwei Xu, Mark Staples, David Lo
2023	A*	`conf`	Silent Vulnerable Dependency Alert Prediction with Vulnerability Key Aspect Explanation. ICSE Jiamou Sun, Zhenchang Xing, Qinghua Lu, Xiwei Xu, Liming Zhu, Thong Hoang, Dehai Zhao
2023	J	`jnl`	Silent Vulnerable Dependency Alert Prediction with Vulnerability Key Aspect Explanation. CoRR Jiamou Sun, Zhenchang Xing, Qinghua Lu, Xiwei Xu, Liming Zhu, Thong Hoang, Dehai Zhao
2023	J	`jnl`	Tag Your Fish in the Broken Net: A Responsible Web Framework for Protecting Online Privacy and Copyright. CoRR Dawen Zhang, Boming Xia, Yue Liu, Xiwei Xu, Thong Hoang, Zhenchang Xing, Mark Staples, Qinghua Lu, Liming Zhu
2023	J	`jnl`	Test-takers have a say: understanding the implications of the use of AI in language tests. CoRR Dawen Zhang, Thong Hoang, Shidong Pan, Yongquan Hu, Zhenchang Xing, Mark Staples, Xiwei Xu, Qinghua Lu, Aaron Quigley
2023	J	`jnl`	To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods. CoRR Dawen Zhang, Shidong Pan, Thong Hoang, Zhenchang Xing, Mark Staples, Xiwei Xu, Lina Yao, Qinghua Lu, Liming Zhu
2023	J	`jnl`	Toward the Cure of Privacy Policy Reading Phobia: Automated Generation of Privacy Nutrition Labels From Privacy Policies. CoRR Shidong Pan, Thong Hoang, Dawen Zhang, Zhenchang Xing, Xiwei Xu, Qinghua Lu, Mark Staples
2023	A	`conf`	What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues. MSR Zhou Yang, Chenyu Wang, Jieke Shi, Thong Hoang, Pavneet Singh Kochhar, Qinghua Lu, Zhenchang Xing, David Lo
2023	J	`jnl`	What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues. CoRR Zhou Yang, Chenyu Wang, Jieke Shi, Thong Hoang, Pavneet Singh Kochhar, Qinghua Lu, Zhenchang Xing, David Lo
2022	J	`jnl`	Post2Vec: Learning Distributed Representations of Stack Overflow Posts. IEEE Trans. Software Eng. Bowen Xu, Thong Hoang, Abhishek Sharma, Chengran Yang, Xin Xia, David Lo
2021	J	`jnl`	PatchNet: Hierarchical Deep Learning-Based Stable Patch Identification for the Linux Kernel. IEEE Trans. Software Eng. Thong Hoang, Julia Lawall, Yuan Tian, Richard Jayadi Oentaryo, David Lo
2020	—	`conf`	BugsInPy: a database of existing bugs in Python programs to enable controlled testing and debugging studies. ESEC/SIGSOFT FSE 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
2020	J	`jnl`	CC2Vec: Distributed Representations of Code Changes. CoRR Thong Hoang, Hong Jin Kang, Julia Lawall, David Lo
2020	A*	`conf`	CC2Vec: distributed representations of code changes. ICSE Thong Hoang, Hong Jin Kang, David Lo, Julia Lawall
2020	A	`conf`	Keen2Act: Activity Recommendation in Online Social Collaborative Platforms. UMAP Roy Ka-Wei Lee, Thong Hoang, Richard Jayadi Oentaryo, David Lo
2020	J	`jnl`	Keen2Act: Activity Recommendation in Online Social Collaborative Platforms. CoRR Roy Ka-Wei Lee, Thong Hoang, Richard Jayadi Oentaryo, David Lo
2019	A	`conf`	DeepJIT: an end-to-end deep learning framework for just-in-time defect prediction. MSR Thong Hoang, Hoa Khanh Dam, Yasutaka Kamei, David Lo, Naoyasu Ubayashi
2019	J	`jnl`	Network-Clustered Multi-Modal Bug Localization. IEEE Trans. Software Eng. Thong Hoang, Richard Jayadi Oentaryo, Tien-Duy B. Le, David Lo
2019	J	`jnl`	PatchNet: A Tool for Deep Patch Classification. CoRR Thong Hoang, Julia Lawall, Richard Jayadi Oentaryo, Yuan Tian, David Lo
2019	J	`jnl`	PatchNet: Hierarchical Deep Learning-Based Stable Patch Identification for the Linux Kernel. CoRR Thong Hoang, Julia Lawall, Yuan Tian, Richard Jayadi Oentaryo, David Lo
2019	—	`conf`	PatchNet: a tool for deep patch classification. ICSE (Companion Volume) Thong Hoang, Julia Lawall, Richard Jayadi Oentaryo, Yuan Tian, David Lo
2018	J	`jnl`	Network-Clustered Multi-Modal Bug Localization. CoRR Thong Hoang, Richard Jayadi Oentaryo, Tien-Duy B. Le, David Lo
2016	—	`conf`	Crowdsensing and analyzing micro-event tweets for public transportation insights. IEEE BigData Thong Hoang, Pei Hua Cher, Philips Kokoh Prasetyo, Ee-Peng Lim