Recommending API Usages for Mobile Apps with Hidden Markov Model. - Tam The Nguyen; Hung Viet Pham; Phong Minh Vu; Tung Thanh Nguyen (ASE, 2015)

Mining User Opinions in Mobile App Reviews: A Keyword-Based Approach (T). - Phong Minh Vu; Tam The Nguyen; Hung Viet Pham; Tung Thanh Nguyen (ASE, 2015)

Tool Support for Analyzing Mobile App Reviews. - Phong Minh Vu; Hung Viet Pham; Tam The Nguyen; Tung Thanh Nguyen (ASE, 2015)

Mining User Opinions in Mobile App Reviews: A Keyword-based Approach. - Phong Minh Vu; Tam The Nguyen; Hung Viet Pham; Tung Thanh Nguyen (CoRR, 2015)

Theoretical Investigations of Cycloadditions and Subsequent Transformations Involving Allenes and Arenes to Form Complex Polycycles - Hung Viet Pham (2015)

Learning API usages from bytecode: a statistical approach. - Tam The Nguyen; Hung Viet Pham; Phong Minh Vu; Tung Thanh Nguyen (ICSE, 2016)

Phrase-based extraction of user opinions in mobile app reviews. - Phong Minh Vu; Hung Viet Pham; Tam The Nguyen; Tung Thanh Nguyen (ASE, 2016)

Deep learning UI design patterns of mobile apps. - Tam The Nguyen; Phong Minh Vu; Hung Viet Pham; Tung Thanh Nguyen (ICSE (NIER), 2018)

Recommending exception handling patterns with ExAssist. - Tam The Nguyen; Phong Minh Vu; Hung Viet Pham; Tung Thanh Nguyen (ICSE (Companion Volume), 2018)

ALPACA-advanced linguistic pattern and concept analysis framework for software engineering corpora. - Phong Minh Vu; Tam The Nguyen; Tung Thanh Nguyen; Hung Viet Pham (ICSE (Companion Volume), 2018)

CRADLE: cross-backend validation to detect and localize bugs in deep learning libraries. - Hung Viet Pham; Thibaud Lutellier; Weizhen Qi; Lin Tan 001 (ICSE, 2019)

ENCORE: Ensemble Learning using Convolution Neural Machine Translation for Automatic Program Repair. - Thibaud Lutellier; Lawrence Pang; Hung Viet Pham; Moshi Wei; Lin Tan 001 (CoRR, 2019)

A Vision on Mining Visual Logs of Software. - Hung Viet Pham; Tam The Nguyen; Phong Minh Vu; Tung Thanh Nguyen (ACM Southeast Regional Conference, 2020)

CoCoNuT: combining context-aware neural translation models using ensemble for program repair. - Thibaud Lutellier; Hung Viet Pham; Lawrence Pang; Yitong Li; Moshi Wei; Lin Tan 001 (ISSTA, 2020)

Problems and Opportunities in Training Deep Learning Software Systems: An Analysis of Variance. - Hung Viet Pham; Shangshu Qian; Jiannan Wang 002; Thibaud Lutellier; Jonathan Rosenthal; Lin Tan 001; Yaoliang Yu; Nachiappan Nagappan (ASE, 2020)

DEVIATE: A Deep Learning Variance Testing Framework. - Hung Viet Pham; Mijung Kim; Lin Tan 001; Yaoliang Yu; Nachiappan Nagappan (ASE, 2021)

Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training. - Shangshu Qian; Hung Viet Pham; Thibaud Lutellier; Zeou Hu; Jungwon Kim; Lin Tan 001; Yaoliang Yu; Jiahao Chen 001; Sameena Shah (NeurIPS, 2021)

Leveraging Documentation to Test Deep Learning Library Functions. - Danning Xie; Yitong Li; Mijung Kim; Hung Viet Pham; Lin Tan 001; Xiangyu Zhang 001; Michael W. Godfrey (CoRR, 2021)

EAGLE: Creating Equivalent Graphs to Test Deep Learning Libraries. - Jiannan Wang 002; Thibaud Lutellier; Shangshu Qian; Hung Viet Pham; Lin Tan 001 (ICSE, 2022)

DocTer: documentation-guided fuzzing for testing deep learning API functions. - Danning Xie; Yitong Li; Mijung Kim; Hung Viet Pham; Lin Tan 001; Xiangyu Zhang 001; Michael W. Godfrey (ISSTA, 2022)

Discussion on complexity and accuracy of high-performance concrete's compressive strength deep learning models. - Hung Viet Pham; Minh Ngoc Dinh; Stanley Luong; TaeChoong Chung; Quang Dang Nguyen (RIVF, 2022)

DisGUIDE: Disagreement-Guided Data-Free Model Extraction. - Jonathan Rosenthal; Eric Enouen; Hung Viet Pham; Lin Tan 001 (AAAI, 2023)

How Effective Are Neural Networks for Fixing Security Vulnerabilities. - Yi Wu; Nan Jiang 012; Hung Viet Pham; Thibaud Lutellier; Jordan Davis; Lin Tan 001; Petr Babkin; Sameena Shah (ISSTA, 2023)

Security Knowledge-Guided Fuzzing of Deep Learning Libraries. - Nima Shiri Harzevili; Hung Viet Pham; Song Wang 009 (CoRR, 2023)

Benchmarking Deep Learning Fuzzers. - Nima Shiri Harzevili; Hung Viet Pham; Song Wang 009 (CoRR, 2023)

SkipAnalyzer: An Embodied Agent for Code Analysis with Large Language Models. - Mohammad Mahdi Mohajer; Reem Aleithan; Nima Shiri Harzevili; Moshi Wei; Alvine Boaye Belle; Hung Viet Pham; Song Wang 009 (CoRR, 2023)

Effectiveness of ChatGPT for Static Analysis: How Far Are We? - Mohammad Mahdi Mohajer; Reem Aleithan; Nima Shiri Harzevili; Moshi Wei; Alvine Boaye Belle; Hung Viet Pham; Song Wang 009 (AIware, 2024)

Can ChatGPT Support Developers? An Empirical Evaluation of Large Language Models for Code Generation. - Kailun Jin; Chung-Yu Wang; Hung Viet Pham; Hadi Hemmati (MSR, 2024)

CEDAR: Continuous Testing of Deep Learning Libraries. - Danning Xie; Jiannan Wang 002; Hung Viet Pham; Lin Tan 001; Yu Guo; Adnan Aziz; Erik Meijer 001 (SANER, 2024)

EPiC: Cost-effective Search-based Prompt Engineering of LLMs for Code Generation. - Hamed Taherkhani; Melika Sepindband; Hung Viet Pham; Song Wang 009; Hadi Hemmati (CoRR, 2024)

Selection of Prompt Engineering Techniques for Code Generation through Predicting Code Complexity. - Chung-Yu Wang; Alireza DaghighFarsoodeh; Hung Viet Pham (CoRR, 2024)

Task-oriented Prompt Enhancement via Script Generation. - Chung-Yu Wang; Alireza DaghighFarsoodeh; Hung Viet Pham (CoRR, 2024)

Defect Prediction with Content-based Features. - Hung Viet Pham; Tung Thanh Nguyen (CoRR, 2024)

History-Driven Fuzzing for Deep Learning Libraries. - Nima Shiri Harzevili; Mohammad Mahdi Mohajer; Moshi Wei; Hung Viet Pham; Song Wang 009 (ACM Trans. Softw. Eng. Methodol., 2025)

D3: Differential Testing of Distributed Deep Learning With Model Generation. - Jiannan Wang 002; Hung Viet Pham; Qi Li; Lin Tan 001; Yu Guo; Adnan Aziz; Erik Meijer 001 (IEEE Trans. Software Eng., 2025)

Deep-Bench: Deep Learning Benchmark Dataset for Code Generation. - Alireza DaghighFarsoodeh; Chung-Yu Wang; Hamed Taherkhani; Melika Sepidband; Mohammad Abdollahi; Hadi Hemmati; Hung Viet Pham (CoRR, 2025)

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection. - Md Basim Uddin Ahmed; Nima Shiri Harzevili; Jiho Shin; Hung Viet Pham; Song Wang 009 (CoRR, 2025)

StaAgent: An Agentic Framework for Testing Static Analyzers. - Elijah Nnorom; Md Basim Uddin Ahmed; Jiho Shin; Hung Viet Pham; Song Wang 009 (CoRR, 2025)