Hung Viet Pham

According to our database, Hung Viet Pham authored at least 26 papers between 2015 and 2024.

Collaborative distances:

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

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

CoRR, 2024

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

CoRR, 2023

Benchmarking Deep Learning Fuzzers.

Nima Shiri Harzevili, Hung Viet Pham, Song Wang

CoRR, 2023

Security Knowledge-Guided Fuzzing of Deep Learning Libraries.

Nima Shiri Harzevili, Hung Viet Pham, Song Wang

CoRR, 2023

How Effective Are Neural Networks for Fixing Security Vulnerabilities.

Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, Sameena Shah

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

DisGUIDE: Disagreement-Guided Data-Free Model Extraction.

Jonathan Rosenthal, Eric Enouen, Hung Viet Pham, Lin Tan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2022

DocTer: documentation-guided fuzzing for testing deep learning API functions.

Danning Xie, Yitong Li, Mijung Kim, Hung Viet Pham, Lin Tan, Xiangyu Zhang, Michael W. Godfrey

Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

EAGLE: Creating Equivalent Graphs to Test Deep Learning Libraries.

Jiannan Wang, Thibaud Lutellier, Shangshu Qian, Hung Viet Pham, Lin Tan

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

Leveraging Documentation to Test Deep Learning Library Functions.

Danning Xie, Yitong Li, Mijung Kim, Hung Viet Pham, Lin Tan, Xiangyu Zhang, Michael W. Godfrey

CoRR, 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, Yaoliang Yu, Jiahao Chen, Sameena Shah

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DEVIATE: A Deep Learning Variance Testing Framework.

Hung Viet Pham, Mijung Kim, Lin Tan, Yaoliang Yu, Nachiappan Nagappan

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

2020

Problems and Opportunities in Training Deep Learning Software Systems: An Analysis of Variance.

Hung Viet Pham, Shangshu Qian, Jiannan Wang, Thibaud Lutellier, Jonathan Rosenthal, Lin Tan, Yaoliang Yu, Nachiappan Nagappan

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 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

Proceedings of the ISSTA '20: 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020

A Vision on Mining Visual Logs of Software.

Hung Viet Pham, Tam The Nguyen, Phong Minh Vu, Tung Thanh Nguyen

Proceedings of the 2020 ACM Southeast Conference, 2020

2019

ENCORE: Ensemble Learning using Convolution Neural Machine Translation for Automatic Program Repair.

Thibaud Lutellier, Lawrence Pang, Hung Viet Pham, Moshi Wei, Lin Tan

CoRR, 2019

CRADLE: cross-backend validation to detect and localize bugs in deep learning libraries.

Hung Viet Pham, Thibaud Lutellier, Weizhen Qi, Lin Tan

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

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

Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

Recommending exception handling patterns with ExAssist.

Tam The Nguyen, Phong Minh Vu, Hung Viet Pham, Tung Thanh Nguyen

Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

Deep learning UI design patterns of mobile apps.

Tam The Nguyen, Phong Minh Vu, Hung Viet Pham, Tung Thanh Nguyen

Proceedings of the 40th International Conference on Software Engineering: New Ideas and Emerging Results, 2018

2016

Phrase-based extraction of user opinions in mobile app reviews.

Phong Minh Vu, Hung Viet Pham, Tam The Nguyen, Tung Thanh Nguyen

Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, 2016

Learning API usages from bytecode: a statistical approach.

Tam The Nguyen, Hung Viet Pham, Phong Minh Vu, Tung Thanh Nguyen

Proceedings of the 38th International Conference on Software Engineering, 2016

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

Tool Support for Analyzing Mobile App Reviews.

Phong Minh Vu, Hung Viet Pham, Tam The Nguyen, Tung Thanh Nguyen

Proceedings of the 30th IEEE/ACM International Conference on Automated Software Engineering, 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

Proceedings of the 30th IEEE/ACM International Conference on Automated Software Engineering, 2015

Recommending API Usages for Mobile Apps with Hidden Markov Model.

Tam The Nguyen, Hung Viet Pham, Phong Minh Vu, Tung Thanh Nguyen

Proceedings of the 30th IEEE/ACM International Conference on Automated Software Engineering, 2015