Personal Information
Greetings, I am pursuing my integrated Ms-Ph.D. degree in Electrical Engineering at KAIST in 2018-2025,
under the guidance of Professor Chang D. Yoo. My interested topics relate to computer vision, deep learning, generative AI,
and image/video/audio processing: Self-supervised Learning, Generative Models, Diffusion Models, Multimodal Learning,
Speech Processing, and Natural Language Processing.
In the past, I graduated in 2014 from Hanoi University of Science and Technology (HUST, a top-tier university in Viet Nam), with the School of Electronics and Telecommunications ranked 10/526 students (top 1.9%).
After that, I worked for VNPT Technology Corporation (employees > 1000+) in Hanoi for 3 years until 2018, mainly doing research and deploying 2G, 3G & 4G mobile communication network projects with various
vendors such as Alcatel-Lucent, Nokia Siemens, and SAMSUNG.
Email /
CV /
Google Scholar /
LinkedIn
|
|
International Conferences and Journals
I take immense pride in my contributions to the academic community, having disseminated my findings through publications in top-tier venues:
NeurIPS (1), ICML (1), ICLR (1), CVPR (3), ECCV (1), ICASSP (1), Advanced Materials (1, IF: 32), Nano Energy (1, IF: 19), IEEE TCSTV (1, IF: 8.4), IEEE TBD (1, IF: 4.5), IEEE Access (3, IF: 3.9).
Reviewers & Program Committee Members
I served as a Reviewer and Program Committee at various prestigious conferences and journals
- CVPR 2023, 2024, 2025 [The Conference on Computer Vision and Pattern Recognition]
- NeurIPS 2023, 2024 [The Conference on Neural Information Processing Systems]
- ICML 2024 [The International Conference on Machine Learning]
- AAAI 2024, AAAI 2025 [The Association for the Advancement of Artificial Intelligence]
- ICCV 2023 [The International Conference on Computer Vision]
- ECCV 2024 [The European Conference on Computer Vision]
- ICLR 2024, ICLR 2025 [The International Conference on Learning Representations]
- ACCV 2024 [The Asian Conference on Computer Vision]
- ICASSP 2024, ICASSP 2025 [The International Conference on Acoustics, Speech, and Signal Processing]
- AISTATS 2025 [International Conference on Artificial Intelligence and Statistics]
- Neural Networks (NN) 2023, Impact Factor: 8.67
- IEEE Transaction on Multimedia (TMM) 2023, Impact Factor: 7.39
- Computer Vision and Image Understanding (CVIU) 2024, Impact Factor: 4.3
- ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS) 2024, Impact Factor: 11.83
Awards
- Won First Prize in Mathematic Contest for High School Student Grade 12, 2009
- Won Trang Nguyen Flower award for the best student among thousands of students in Giao Thuy B High School, 2009
- Annual Encourage Scholarship by Hanoi University of Science and Technology (HUST) for excellent students with outstanding performance for every semester, 2009 – 2014
- Won Award of the Top 100 Best Korea National Researches, 2023 [Certificate]
Recent Publications
* denotes equal contributions, my research was first recorded in 2018.
|
Learning augmentation network via influence functions
Donghoon Lee, Hyunsin Park, Trung X. Pham, Chang D Yoo
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), acceptance rate 22%
[Links IEEE]
Learning augmentation with the differentiable neural network with a fancy influence approach.
|
Co-operations
I am open to collaborating with researchers on various topics in Deep Learning, Machine Learning, and AI, including but not limited to Computer Vision, Audio Processing, and Natural Language Processing (NLP).
Feel free to contact me at: trungpx@kaist.ac.kr or phamxuantrungbk@gmail.com
|