Duy-Tung Pham

Incoming PhD Student @ Northeastern University · Boston, MA

Email: pham.duy at northeastern dot edu | phamduytung2002 at gmail dot com

Google Scholar · GitHub · LinkedIn

About me

Hello! I'm Duy-Tung Pham (/zwi-tuŋ fam/). In Vietnamese, my name is written as Phạm Duy Tùng. You can call me Duy-Tung, or simply Tung.

I am an incoming PhD student at Northeastern University, advised by Prof. Huy Nguyen. Before that, I was an AI Research Resident at FPT Software AI Center, where I had the great opportunity to work under the guidance of Prof. Thieu Vo and Prof. Tan Minh Nguyen.

I completed my Bachelor's degree in Computer Science through the Talented (Honors) Program at the School of Information and Communication Technology (SoICT), Hanoi University of Science and Technology (HUST). During my undergraduate studies, I was also a research student at the Data Science Laboratory, where I was mentored by Dr. Linh Ngo Van and Prof. Khoat Than.

Publications

(*) equal contribution · (**) equal advising · bold = me

10. Mixed-Curvature Tree-Sliced Wasserstein Distance
Duy-Tung Pham*; Viet-Hoang Tran*; Thieu Vo; Tan Minh Nguyen
International Conference on Learning Representations (ICLR), 2026
Paper · Bibtex

9. Tree-Sliced Sobolev IPM
Viet-Hoang Tran*; Thanh Tran*; Thanh Chu; Duy-Tung Pham; Trung-Khang Tran; Tam Le**; Tan Minh Nguyen**
International Conference on Learning Representations (ICLR), 2026
Paper · Bibtex

8. Revisiting Tree-Sliced Wasserstein Distance Through the Lens of the Fermat-Weber Problem
Viet-Hoang Tran*; Thanh Tran*; Thanh Chu*; Trung-Khang Tran; Duy-Tung Pham; Tam Le**; Tan Minh Nguyen**
International Conference on Learning Representations (ICLR), 2026
Paper · Bibtex

7. Dynamical Properties of Tokens in Self-Attention and Effects of Positional Encoding
Duy-Tung Pham*; An Nguyen The*; Viet-Hoang Tran; Nhan-Phu Chung; Xin T. Tong; Tan Minh Nguyen**; Thieu Vo**
Annual Conference on Neural Information Processing Systems (NeurIPS), 2025
Paper · Bibtex

6. Equivariant Polynomial Functional Networks
Thieu Vo*; Viet-Hoang Tran*; Tho Tran Huu; An Nguyen The; Thanh Tran; Minh-Khoi Nguyen-Nhat; Duy-Tung Pham; Tan Minh Nguyen
International Conference on Machine Learning (ICML), 2025
Paper · Bibtex

5. TopiCOT: Neural topic model aligning with pre-trained clustering and optimal transport
Tung Nguyen*; Duy-Tung Pham*; Quang Duc Nguyen; Linh Ngo Van; Anh Nguyen Duc; Sang Dinh Viet
Neurocomputing, 2025
Paper · Bibtex

4. Demystifying the Token Dynamics of Deep Selective State Space Models
Thieu Vo; Duy-Tung Pham; Xin T. Tong**; Tan Minh Nguyen**
International Conference on Learning Representations (ICLR), 2025, Spotlight, top 5.1%
Paper · Bibtex · Code

3. Equivariant Neural Functional Networks for Transformers
Viet-Hoang Tran*; Thieu Vo*; An Nguyen The*; Tho Tran Huu; Minh-Khoi Nguyen-Nhat; Thanh Tran; Duy-Tung Pham; Tan Minh Nguyen
International Conference on Learning Representations (ICLR), 2025
Paper · Bibtex · Code

2. Out-of-vocabulary handling and topic quality control strategies in streaming topic models
Tung Nguyen*; Duy-Tung Pham*; Linh Ngo Van; Ha-Bang Ban; Khoat Than
Neurocomputing, 2025
Paper · Bibtex

1. NeuroMax: Enhancing Neural Topic Modeling via Maximizing Mutual Information and Group Topic Regularization
Duy-Tung Pham*; Trang Nguyen*; Tung Nguyen*; Linh Ngo Van; Duc Anh Nguyen; Thien Huu Nguyen
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024, Findings
Paper · Bibtex · Code