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2020 – today
- 2026
[i4]Phat Tran, Phuoc Pham, Hung Trinh
, Tho Quan:
Low-Resource Heuristics for Bahnaric Optical Character Recognition Improvement. CoRR abs/2601.02965 (2026)- 2025
- [j2]Phuoc Pham, Tae-Min Park, Sung-Hyuk Cho, Tayyeb Mahmood, Joon-Sung Yang, Jaeyong Chung:
AGD: Analytic Gradient Descent for Discrete Optimization in EDA and its Use to Gate Sizing. ACM Trans. Design Autom. Electr. Syst. 30(5): 75:1-75:22 (2025) - [c4]Phuoc Pham, Arun Venkitaraman, Chia-Yu Hsieh, Andrea Bonetti, Stefan Uhlich, Markus Leibl, Simon Hofmann, Eisaku Ohbuchi, Lorenzo Servadei, Ulf Schlichtmann, Robert Wille:
GENIE-ASI: Generative Instruction and Executable Code for Analog Subcircuit Identification. MLCAD 2025: 1-21 - [d3]Phuoc Pham, Murali Sridharan, Matteo Esposito, Valentina Lenarduzzi:
CppSATD: A Reusable Self-Admitted Technical Debt Dataset in C++. Version 1. Zenodo, 2025 [all versions]
- [d2]Phuoc Pham, Murali Sridharan, Matteo Esposito, Valentina Lenarduzzi:
CppSATD: A Reusable Self-Admitted Technical Debt Dataset in C++. Version 2. Zenodo, 2025 [all versions] - [d1]Phuoc Pham, Murali Sridharan, Matteo Esposito, Valentina Lenarduzzi:
CppSATD: A Reusable Self-Admitted Technical Debt Dataset in C++. Version 3. Zenodo, 2025 [all versions] - [i3]Phuoc Pham, Murali Sridharan, Matteo Esposito, Valentina Lenarduzzi:
Descriptor: C++ Self-Admitted Technical Debt Dataset (CppSATD). CoRR abs/2505.01136 (2025) - [i2]Phuoc Pham, Arun Venkitaraman, Chia-Yu Hsieh, Andrea Bonetti, Stefan Uhlich, Markus Leibl, Simon Hofmann, Eisaku Ohbuchi, Lorenzo Servadei, Ulf Schlichtmann, Robert Wille:
GENIE-ASI: Generative Instruction and Executable Code for Analog Subcircuit Identification. CoRR abs/2508.19393 (2025) - 2023
- [c3]Phuoc Pham, Jaeyong Chung:
AGD: A Learning-based Optimization Framework for EDA and its Application to Gate Sizing. DAC 2023: 1-6 - 2022
- [c2]Phuoc Pham, Vu Nguyen, Tien N. Nguyen:
A Review of AI-augmented End-to-End Test Automation Tools. ASE 2022: 214:1-214:4 - 2021
- [j1]Phuoc Pham, Jacob A. Abraham, Jaeyong Chung:
Training Multi-Bit Quantized and Binarized Networks with a Learnable Symmetric Quantizer. IEEE Access 9: 47194-47203 (2021) - [i1]Phuoc Pham, Jacob A. Abraham, Jaeyong Chung:
Training Multi-bit Quantized and Binarized Networks with A Learnable Symmetric Quantizer. CoRR abs/2104.00210 (2021)
2010 – 2019
- 2017
- [c1]Phuoc Pham, Duy Nguyen, Tien Do, Thanh Duc Ngo, Duy-Dinh Le:
Evaluation of Deep Models for Real-Time Small Object Detection. ICONIP (3) 2017: 516-526
Coauthor Index
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