175 citations · 540 across the 25 of their papers we have counts for
27 papers
Lossless Tensor Compression as Program Synthesis
Jieke Shi, Junda He, Wenjia Jiang +11
Model checkpoints are growing in both number and size, which makes archival, transfer, and deployment increasingly costly. General-purpose compressors can reduce storage requiremen…
ESG Reporting Lifecycle Management with Large Language Models and AI Agents
Thong Hoang, Mykhailo Klymenko, Xiwei Xu +6
Environmental, Social, and Governance (ESG) standards have been increasingly adopted by organizations to demonstrate accountability towards ethical, social, and sustainability goal…
Compiling Code LLMs into Lightweight Executables
Jieke Shi, Junda He, Zhou Yang +6
The demand for better prediction accuracy and higher execution performance in neural networks continues to grow. The emergence and success of Large Language Models (LLMs) have prod…
EulerESG: Automating ESG Disclosure Analysis with LLMs
Yi Ding, Xushuo Tang, Zhengyi Yang +13
Environmental, Social, and Governance (ESG) reports have become central to how companies communicate climate risk, social impact, and governance practices, yet they are still publi…
Context-Aware Unit Testing for Quantum Subroutines
Mykhailo Klymenko, Thong Hoang, Samuel A. Wilkinson +6
Software testing is a critical component of the classical software development lifecycle, and this principle is expected to hold true for quantum software as it evolves toward larg…
Architectural Patterns for Designing Quantum Artificial Intelligence Systems
Mykhailo Klymenko, Thong Hoang, Xiwei Xu +4
Utilising quantum computing technology to enhance artificial intelligence systems is expected to improve training and inference times, increase robustness against noise and adversa…
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
Terry Yue Zhuo, Minh Chien Vu, Jenny Chim +30
Task automation has been greatly empowered by the recent advances in Large Language Models (LLMs) via Python code, where the tasks ranging from software engineering development to…
{A New Hope}: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation
Shidong Pan, Zhen Tao, Thong Hoang +7
Privacy policies have emerged as the predominant approach to conveying privacy notices to mobile application users. In an effort to enhance both readability and user engagement, th…
BugsInPy: A Database of Existing Bugs in Python Programs to Enable Controlled Testing and Debugging Studies
Ratnadira Widyasari, Sheng Qin Sim, Camellia Lok +13
The 2019 edition of Stack Overflow developer survey highlights that, for the first time, Python outperformed Java in terms of popularity. The gap between Python and Java further wi…
Tag Your Fish in the Broken Net: A Responsible Web Framework for Protecting Online Privacy and Copyright
Dawen Zhang, Boming Xia, Yue Liu +6
The World Wide Web, a ubiquitous source of information, serves as a primary resource for countless individuals, amassing a vast amount of data from global internet users. However,…
Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective
Dawen Zhang, Boming Xia, Yue Liu +6
The advent of Generative AI has marked a significant milestone in artificial intelligence, demonstrating remarkable capabilities in generating realistic images, texts, and data pat…
Are We Ready to Embrace Generative AI for Software Q&A?
Bowen Xu, Thanh-Dat Nguyen, Thanh Le-Cong +8
Stack Overflow, the world's largest software Q&A (SQA) website, is facing a significant traffic drop due to the emergence of generative AI techniques. ChatGPT is banned by Stack Ov…
Quantum Software Analytics: Opportunities and Challenges
Thong Hoang, Hoa Khanh Dam, Tingting Bi +5
Quantum computing systems depend on the principles of quantum mechanics to perform multiple challenging tasks more efficiently than their classical counterparts. In classical softw…
Test-takers have a say: understanding the implications of the use of AI in language tests
Dawen Zhang, Thong Hoang, Shidong Pan +6
Language tests measure a person's ability to use a language in terms of listening, speaking, reading, or writing. Such tests play an integral role in academic, professional, and im…
SeePrivacy: Automated Contextual Privacy Policy Generation for Mobile Applications
Shidong Pan, Zhen Tao, Thong Hoang +5
Privacy policies have become the most critical approach to safeguarding individuals' privacy and digital security. To enhance their presentation and readability, researchers propos…
Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions
Dawen Zhang, Pamela Finckenberg-Broman, Thong Hoang +4
The Right to be Forgotten (RTBF) was first established as the result of the ruling of Google Spain SL, Google Inc. v AEPD, Mario Costeja González, and was later included as the Rig…
Toward the Cure of Privacy Policy Reading Phobia: Automated Generation of Privacy Nutrition Labels From Privacy Policies
Shidong Pan, Thong Hoang, Dawen Zhang +4
Software applications have become an omnipresent part of modern society. The consequent privacy policies of these applications play a significant role in informing customers how th…
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 +4
Privacy regulations protect and promote the privacy of individuals by requiring mobile apps to provide a privacy policy that explains what personal information is collected and how…
What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues
Zhou Yang, Chenyu Wang, Jieke Shi +5
Artificial Intelligence systems, which benefit from the availability of large-scale datasets and increasing computational power, have become effective solutions to various critical…
Blockchain-Empowered Trustworthy Data Sharing: Fundamentals, Applications, and Challenges
Linh T. Nguyen, Lam Duc Nguyen, Thong Hoang +7
Various data-sharing platforms have emerged with the growing public demand for open data and legislation mandating certain data to remain open. Most of these platforms remain opaqu…
Silent Vulnerable Dependency Alert Prediction with Vulnerability Key Aspect Explanation
Jiamou Sun, Zhenchang Xing, Qinghua Lu +4
Due to convenience, open-source software is widely used. For beneficial reasons, open-source maintainers often fix the vulnerabilities silently, exposing their users unaware of the…
To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods
Dawen Zhang, Shidong Pan, Thong Hoang +6
The right to be forgotten (RTBF) is motivated by the desire of people not to be perpetually disadvantaged by their past deeds. For this, data deletion needs to be deep and permanen…
Keen2Act: Activity Recommendation in Online Social Collaborative Platforms
Roy Ka-Wei Lee, Thong Hoang, Richard J. Oentaryo +1
Social collaborative platforms such as GitHub and Stack Overflow have been increasingly used to improve work productivity via collaborative efforts. To improve user experiences in…
CC2Vec: Distributed Representations of Code Changes
Thong Hoang, Hong Jin Kang, Julia Lawall +1
Existing work on software patches often use features specific to a single task. These works often rely on manually identified features, and human effort is required to identify the…