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Hung Viet Pham
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2020 – today
- 2024
- [c22]Mohammad Mahdi Mohajer
, Reem Aleithan
, Nima Shiri Harzevili
, Moshi Wei
, Alvine Boaye Belle
, Hung Viet Pham
, Song Wang
:
Effectiveness of ChatGPT for Static Analysis: How Far Are We? AIware 2024 - [c21]Kailun Jin
, Chung-Yu Wang
, Hung Viet Pham
, Hadi Hemmati
:
Can ChatGPT Support Developers? An Empirical Evaluation of Large Language Models for Code Generation. MSR 2024: 167-171 - [c20]Danning Xie, Jiannan Wang, Hung Viet Pham, Lin Tan, Yu Guo, Adnan Aziz, Erik Meijer:
CEDAR: Continuous Testing of Deep Learning Libraries. SANER 2024: 371-382 - [i9]Kailun Jin, Chung-Yu Wang, Hung Viet Pham, Hadi Hemmati:
Can ChatGPT Support Developers? An Empirical Evaluation of Large Language Models for Code Generation. CoRR abs/2402.11702 (2024) - 2023
- [c19]Jonathan Rosenthal, Eric Enouen, Hung Viet Pham, Lin Tan:
DisGUIDE: Disagreement-Guided Data-Free Model Extraction. AAAI 2023: 9614-9622 - [c18]Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, Sameena Shah:
How Effective Are Neural Networks for Fixing Security Vulnerabilities. ISSTA 2023: 1282-1294 - [i8]Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, Sameena Shah:
How Effective Are Neural Networks for Fixing Security Vulnerabilities. CoRR abs/2305.18607 (2023) - [i7]Nima Shiri Harzevili, Hung Viet Pham, Song Wang:
Security Knowledge-Guided Fuzzing of Deep Learning Libraries. CoRR abs/2306.03269 (2023) - [i6]Nima Shiri Harzevili, Hung Viet Pham, Song Wang:
Benchmarking Deep Learning Fuzzers. CoRR abs/2310.06912 (2023) - [i5]Mohammad Mahdi Mohajer, Reem Aleithan, Nima Shiri Harzevili, Moshi Wei, Alvine Boaye Belle, Hung Viet Pham, Song Wang:
SkipAnalyzer: An Embodied Agent for Code Analysis with Large Language Models. CoRR abs/2310.18532 (2023) - 2022
- [c17]Jiannan Wang
, Thibaud Lutellier
, Shangshu Qian
, Hung Viet Pham, Lin Tan:
EAGLE: Creating Equivalent Graphs to Test Deep Learning Libraries. ICSE 2022: 798-810 - [c16]Danning Xie, Yitong Li, Mijung Kim, Hung Viet Pham, Lin Tan, Xiangyu Zhang, Michael W. Godfrey:
DocTer: documentation-guided fuzzing for testing deep learning API functions. ISSTA 2022: 176-188 - [c15]Hung Viet Pham, Minh Ngoc Dinh, Stanley Luong, TaeChoong Chung, Quang Dang Nguyen
:
Discussion on complexity and accuracy of high-performance concrete's compressive strength deep learning models. RIVF 2022: 647-652 - 2021
- [c14]Hung Viet Pham, Mijung Kim, Lin Tan, Yaoliang Yu, Nachiappan Nagappan:
DEVIATE: A Deep Learning Variance Testing Framework. ASE 2021: 1286-1290 - [c13]Shangshu Qian, Hung Viet Pham, Thibaud Lutellier, Zeou Hu, Jungwon Kim, Lin Tan, Yaoliang Yu, Jiahao Chen, Sameena Shah:
Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training. NeurIPS 2021: 30211-30227 - [i4]Danning Xie, Yitong Li, Mijung Kim, Hung Viet Pham, Lin Tan, Xiangyu Zhang, Michael W. Godfrey:
Leveraging Documentation to Test Deep Learning Library Functions. CoRR abs/2109.01002 (2021) - 2020
- [c12]Hung Viet Pham, Tam The Nguyen, Phong Minh Vu, Tung Thanh Nguyen:
A Vision on Mining Visual Logs of Software. ACM Southeast Regional Conference 2020: 284-287 - [c11]Thibaud Lutellier
, Hung Viet Pham, Lawrence Pang, Yitong Li, Moshi Wei, Lin Tan:
CoCoNuT: combining context-aware neural translation models using ensemble for program repair. ISSTA 2020: 101-114 - [c10]Hung Viet Pham, Shangshu Qian
, Jiannan Wang
, Thibaud Lutellier
, Jonathan Rosenthal, Lin Tan, Yaoliang Yu, Nachiappan Nagappan:
Problems and Opportunities in Training Deep Learning Software Systems: An Analysis of Variance. ASE 2020: 771-783
2010 – 2019
- 2019
- [c9]Hung Viet Pham, Thibaud Lutellier
, Weizhen Qi, Lin Tan:
CRADLE: cross-backend validation to detect and localize bugs in deep learning libraries. ICSE 2019: 1027-1038 - [i3]Thibaud Lutellier, Lawrence Pang, Hung Viet Pham, Moshi Wei, Lin Tan:
ENCORE: Ensemble Learning using Convolution Neural Machine Translation for Automatic Program Repair. CoRR abs/1906.08691 (2019) - 2018
- [c8]Tam The Nguyen, Phong Minh Vu, Hung Viet Pham, Tung Thanh Nguyen:
Deep learning UI design patterns of mobile apps. ICSE (NIER) 2018: 65-68 - [c7]Tam The Nguyen, Phong Minh Vu, Hung Viet Pham, Tung Thanh Nguyen:
Recommending exception handling patterns with ExAssist. ICSE (Companion Volume) 2018: 282-283 - [c6]Phong Minh Vu, Tam The Nguyen, Tung Thanh Nguyen, Hung Viet Pham:
ALPACA-advanced linguistic pattern and concept analysis framework for software engineering corpora. ICSE (Companion Volume) 2018: 284-285 - 2016
- [c5]Tam The Nguyen, Hung Viet Pham, Phong Minh Vu, Tung Thanh Nguyen
:
Learning API usages from bytecode: a statistical approach. ICSE 2016: 416-427 - [c4]Phong Minh Vu, Hung Viet Pham, Tam The Nguyen, Tung Thanh Nguyen
:
Phrase-based extraction of user opinions in mobile app reviews. ASE 2016: 726-731 - 2015
- [c3]Phong Minh Vu, Tam The Nguyen, Hung Viet Pham, Tung Thanh Nguyen
:
Mining User Opinions in Mobile App Reviews: A Keyword-Based Approach (T). ASE 2015: 749-759 - [c2]Phong Minh Vu, Hung Viet Pham, Tam The Nguyen, Tung Thanh Nguyen
:
Tool Support for Analyzing Mobile App Reviews. ASE 2015: 789-794 - [c1]Tam The Nguyen, Hung Viet Pham, Phong Minh Vu, Tung Thanh Nguyen
:
Recommending API Usages for Mobile Apps with Hidden Markov Model. ASE 2015: 795-800 - [i2]Phong Minh Vu, Tam The Nguyen, Hung Viet Pham, Tung Thanh Nguyen:
Mining User Opinions in Mobile App Reviews: A Keyword-based Approach. CoRR abs/1505.04657 (2015) - [i1]Tam The Nguyen, Hung Viet Pham, Phong Minh Vu, Tung Thanh Nguyen:
Learning API Usages from Bytecode: A Statistical Approach. CoRR abs/1507.07306 (2015)
Coauthor Index
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last updated on 2024-08-23 18:34 CEST by the dblp team
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