Hung Viet Pham

45 papers A* 11A 5Journal 22Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Consistency Meets Verification: Enhancing Test Generation Quality in Large Language Models Without Ground-Truth Solutions. CoRR Hamed Taherkhani, Alireza DaghighFarsoodeh, Mohammad Chowdhury, Hung Viet Pham, Hadi Hemmati
2026	J	`jnl`	Engineering Pitfalls in AI Coding Tools: An Empirical Study of Bugs in Claude Code, Codex, and Gemini CLI. CoRR Ruixin Zhang, Wuyang Dai, Hung Viet Pham, Gias Uddin, Jinqiu Yang, Song Wang
2026	J	`jnl`	Evaluating API-Level Deep Learning Fuzzers: A Comprehensive Benchmarking Study. ACM Trans. Softw. Eng. Methodol. Nima Shiri Harzevili, Moshi Wei, Mohammad Mahdi Mohajer, Hung Viet Pham, Song Wang
2026	J	`jnl`	RGFL: Reasoning Guided Fault Localization for Automated Program Repair Using Large Language Models. CoRR Melika Sepidband, Hamed Taherkhani, Hung Viet Pham, Hadi Hemmati
2025	J	`jnl`	D IEEE Trans. Software Eng. Jiannan Wang, Hung Viet Pham, Qi Li, Lin Tan, Yu Guo, Adnan Aziz, Erik Meijer
2025	J	`jnl`	Deep-Bench: Deep Learning Benchmark Dataset for Code Generation. CoRR Alireza DaghighFarsoodeh, Chung-Yu Wang, Hamed Taherkhani, Melika Sepidband, Mohammad Abdollahi, Hadi Hemmati, Hung Viet Pham
2025	J	`jnl`	History-Driven Fuzzing for Deep Learning Libraries. ACM Trans. Softw. Eng. Methodol. Nima Shiri Harzevili, Mohammad Mahdi Mohajer, Moshi Wei, Hung Viet Pham, Song Wang
2025	J	`jnl`	SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection. CoRR Md Basim Uddin Ahmed, Nima Shiri Harzevili, Jiho Shin, Hung Viet Pham, Song Wang
2025	J	`jnl`	StaAgent: An Agentic Framework for Testing Static Analyzers. CoRR Elijah Nnorom, Md Basim Uddin Ahmed, Jiho Shin, Hung Viet Pham, Song Wang
2024	A	`conf`	CEDAR: Continuous Testing of Deep Learning Libraries. SANER Danning Xie, Jiannan Wang, Hung Viet Pham, Lin Tan, Yu Guo, Adnan Aziz, Erik Meijer
2024	A	`conf`	Can ChatGPT Support Developers? An Empirical Evaluation of Large Language Models for Code Generation. MSR Kailun Jin, Chung-Yu Wang, Hung Viet Pham, Hadi Hemmati
2024	J	`jnl`	Can ChatGPT Support Developers? An Empirical Evaluation of Large Language Models for Code Generation. CoRR Kailun Jin, Chung-Yu Wang, Hung Viet Pham, Hadi Hemmati
2024	J	`jnl`	Defect Prediction with Content-based Features. CoRR Hung Viet Pham, Tung Thanh Nguyen
2024	J	`jnl`	EPiC: Cost-effective Search-based Prompt Engineering of LLMs for Code Generation. CoRR Hamed Taherkhani, Melika Sepindband, Hung Viet Pham, Song Wang, Hadi Hemmati
2024	—	`conf`	Effectiveness of ChatGPT for Static Analysis: How Far Are We? AIware Mohammad Mahdi Mohajer, Reem Aleithan, Nima Shiri Harzevili, Moshi Wei, Alvine Boaye Belle, Hung Viet Pham, Song Wang
2024	J	`jnl`	Selection of Prompt Engineering Techniques for Code Generation through Predicting Code Complexity. CoRR Chung-Yu Wang, Alireza DaghighFarsoodeh, Hung Viet Pham
2024	J	`jnl`	Task-oriented Prompt Enhancement via Script Generation. CoRR Chung-Yu Wang, Alireza DaghighFarsoodeh, Hung Viet Pham
2023	J	`jnl`	Benchmarking Deep Learning Fuzzers. CoRR Nima Shiri Harzevili, Hung Viet Pham, Song Wang
2023	A*	`conf`	DisGUIDE: Disagreement-Guided Data-Free Model Extraction. AAAI Jonathan Rosenthal, Eric Enouen, Hung Viet Pham, Lin Tan
2023	A	`conf`	How Effective Are Neural Networks for Fixing Security Vulnerabilities. ISSTA Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, Sameena Shah
2023	J	`jnl`	How Effective Are Neural Networks for Fixing Security Vulnerabilities. CoRR Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, Sameena Shah
2023	J	`jnl`	Security Knowledge-Guided Fuzzing of Deep Learning Libraries. CoRR Nima Shiri Harzevili, Hung Viet Pham, Song Wang
2023	J	`jnl`	SkipAnalyzer: An Embodied Agent for Code Analysis with Large Language Models. CoRR Mohammad Mahdi Mohajer, Reem Aleithan, Nima Shiri Harzevili, Moshi Wei, Alvine Boaye Belle, Hung Viet Pham, Song Wang
2022	—	`conf`	Discussion on complexity and accuracy of high-performance concrete's compressive strength deep learning models. RIVF Hung Viet Pham, Minh Ngoc Dinh, Stanley Luong, TaeChoong Chung, Quang Dang Nguyen
2022	A	`conf`	DocTer: documentation-guided fuzzing for testing deep learning API functions. ISSTA Danning Xie, Yitong Li, Mijung Kim, Hung Viet Pham, Lin Tan, Xiangyu Zhang, Michael W. Godfrey
2022	A*	`conf`	EAGLE: Creating Equivalent Graphs to Test Deep Learning Libraries. ICSE Jiannan Wang, Thibaud Lutellier, Shangshu Qian, Hung Viet Pham, Lin Tan
2021	A*	`conf`	Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training. NeurIPS Shangshu Qian, Hung Viet Pham, Thibaud Lutellier, Zeou Hu, Jungwon Kim, Lin Tan, Yaoliang Yu, Jiahao Chen, Sameena Shah
2021	A*	`conf`	DEVIATE: A Deep Learning Variance Testing Framework. ASE Hung Viet Pham, Mijung Kim, Lin Tan, Yaoliang Yu, Nachiappan Nagappan
2021	J	`jnl`	Leveraging Documentation to Test Deep Learning Library Functions. CoRR Danning Xie, Yitong Li, Mijung Kim, Hung Viet Pham, Lin Tan, Xiangyu Zhang, Michael W. Godfrey
2020	—	`conf`	A Vision on Mining Visual Logs of Software. ACM Southeast Regional Conference Hung Viet Pham, Tam The Nguyen, Phong Minh Vu, Tung Thanh Nguyen
2020	A	`conf`	CoCoNuT: combining context-aware neural translation models using ensemble for program repair. ISSTA Thibaud Lutellier, Hung Viet Pham, Lawrence Pang, Yitong Li, Moshi Wei, Lin Tan
2020	A*	`conf`	Problems and Opportunities in Training Deep Learning Software Systems: An Analysis of Variance. ASE Hung Viet Pham, Shangshu Qian, Jiannan Wang, Thibaud Lutellier, Jonathan Rosenthal, Lin Tan, Yaoliang Yu, Nachiappan Nagappan
2019	A*	`conf`	CRADLE: cross-backend validation to detect and localize bugs in deep learning libraries. ICSE Hung Viet Pham, Thibaud Lutellier, Weizhen Qi, Lin Tan
2019	J	`jnl`	ENCORE: Ensemble Learning using Convolution Neural Machine Translation for Automatic Program Repair. CoRR Thibaud Lutellier, Lawrence Pang, Hung Viet Pham, Moshi Wei, Lin Tan
2018	—	`conf`	ALPACA-advanced linguistic pattern and concept analysis framework for software engineering corpora. ICSE (Companion Volume) Phong Minh Vu, Tam The Nguyen, Tung Thanh Nguyen, Hung Viet Pham
2018	—	`conf`	Deep learning UI design patterns of mobile apps. ICSE (NIER) Tam The Nguyen, Phong Minh Vu, Hung Viet Pham, Tung Thanh Nguyen
2018	—	`conf`	Recommending exception handling patterns with ExAssist. ICSE (Companion Volume) Tam The Nguyen, Phong Minh Vu, Hung Viet Pham, Tung Thanh Nguyen
2016	A*	`conf`	Learning API usages from bytecode: a statistical approach. ICSE Tam The Nguyen, Hung Viet Pham, Phong Minh Vu, Tung Thanh Nguyen
2016	A*	`conf`	Phrase-based extraction of user opinions in mobile app reviews. ASE Phong Minh Vu, Hung Viet Pham, Tam The Nguyen, Tung Thanh Nguyen
2015	J	`jnl`	Learning API Usages from Bytecode: A Statistical Approach. CoRR Tam The Nguyen, Hung Viet Pham, Phong Minh Vu, Tung Thanh Nguyen
2015	A*	`conf`	Mining User Opinions in Mobile App Reviews: A Keyword-Based Approach (T). ASE Phong Minh Vu, Tam The Nguyen, Hung Viet Pham, Tung Thanh Nguyen
2015	J	`jnl`	Mining User Opinions in Mobile App Reviews: A Keyword-based Approach. CoRR Phong Minh Vu, Tam The Nguyen, Hung Viet Pham, Tung Thanh Nguyen
2015	A*	`conf`	Recommending API Usages for Mobile Apps with Hidden Markov Model. ASE Tam The Nguyen, Hung Viet Pham, Phong Minh Vu, Tung Thanh Nguyen
2015	—	`—`	Theoretical Investigations of Cycloadditions and Subsequent Transformations Involving Allenes and Arenes to Form Complex Polycycles Hung Viet Pham
2015	A*	`conf`	Tool Support for Analyzing Mobile App Reviews. ASE Phong Minh Vu, Hung Viet Pham, Tam The Nguyen, Tung Thanh Nguyen