Tuan Dung Nguyen

According to our database, Tuan Dung Nguyen authored at least 22 papers between 2007 and 2024.

Collaborative distances:

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

2024

Federated PCA on Grassmann Manifold for IoT Anomaly Detection.

Tung-Anh Nguyen, Long Tan Le, Tuan Dung Nguyen, Wei Bao, Suranga Seneviratne, Choong Seon Hong, Nguyen H. Tran

IEEE/ACM Trans. Netw., October, 2024

AstroMLab 2: AstroLLaMA-2-70B Model and Benchmarking Specialised LLMs for Astronomy.

Rui Pan, Tuan Dung Nguyen, Hardik Arora, Alberto Accomazzi, Tirthankar Ghosal, Yuan-Sen Ting

CoRR, 2024

AstroMLab 1: Who Wins Astronomy Jeopardy!?

Yuan-Sen Ting, Tuan Dung Nguyen, Tirthankar Ghosal, Rui Pan, Hardik Arora, Zechang Sun, Tijmen de Haan, Nesar Ramachandra, Azton Wells, Sandeep Madireddy, Alberto Accomazzi

CoRR, 2024

Federated PCA on Grassmann Manifold for IoT Anomaly Detection.

Tung-Anh Nguyen, Long Tan Le, Tuan Dung Nguyen, Wei Bao, Suranga Seneviratne, Choong Seon Hong, Nguyen Hoang Tran

CoRR, 2024

AstroLLaMA-Chat: Scaling AstroLLaMA with Conversational and Diverse Datasets.

Ernest Perkowski, Rui Pan, Tuan Dung Nguyen, Yuan-Sen Ting, Sandor Kruk, Tong Zhang, Charlie O'Neill, Maja Jablonska, Zechang Sun, Michael J. Smith, Huiling Liu, Kevin Schawinski, Kartheik Iyer, Ioana Ciuca, UniverseTBD

CoRR, 2024

Hierarchical Federated Learning in MEC Networks with Knowledge Distillation.

Tuan Dung Nguyen, Ngoc Anh Tong, Binh P. Nguyen, Quoc Viet Hung Nguyen, Phi Le Nguyen, Thanh Trung Huynh

Proceedings of the International Joint Conference on Neural Networks, 2024

Measuring Moral Dimensions in Social Media with Mformer.

Tuan Dung Nguyen, Ziyu Chen, Nicholas George Carroll, Alasdair Tran, Colin Klein, Lexing Xie

Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

Federated Deep Equilibrium Learning: Harnessing Compact Global Representations to Enhance Personalization.

Long Tan Le, Tuan Dung Nguyen, Tung-Anh Nguyen, Choong Seon Hong, Suranga Seneviratne, Wei Bao, Nguyen H. Tran

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods.

Anh Duc Nguyen, Tuan Dung Nguyen, Quang Minh Nguyen, Hoang H. Nguyen, Lam M. Nguyen, Kim-Chuan Toh

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Federated Deep Equilibrium Learning: A Compact Shared Representation for Edge Communication Efficiency.

Long Tan Le, Tuan Dung Nguyen, Tung-Anh Nguyen, Choong Seon Hong, Nguyen Hoang Tran

CoRR, 2023

AstroLLaMA: Towards Specialized Foundation Models in Astronomy.

Tuan Dung Nguyen, Yuan-Sen Ting, Ioana Ciuca, Charlie O'Neill, Zechang Sun, Maja Jablonska, Sandor Kruk, Ernest Perkowski, Jack W. Miller, Jason Li, Josh Peek, Kartheik Iyer, Tomasz Rózanski, Pranav Khetarpal, Sharaf Zaman, David Brodrick, Sergio J. Rodríguez Méndez, Thang D. Bui, Alyssa Goodman, Alberto Accomazzi, Jill P. Naiman, Jesse Cranney, Kevin Schawinski, UniverseTBD

CoRR, 2023

2022

DONE: Distributed Approximate Newton-type Method for Federated Edge Learning.

Canh T. Dinh, Nguyen Hoang Tran, Tuan Dung Nguyen, Wei Bao, Amir Rezaei Balef, Bing Bing Zhou, Albert Y. Zomaya

IEEE Trans. Parallel Distributed Syst., 2022

High-order Scharfetter-Gummel-based schemes and applications to gas discharge modeling.

Tuan Dung Nguyen, Christophe Besse, François Rogier

J. Comput. Phys., 2022

On the Generalization of Wasserstein Robust Federated Learning.

Tung-Anh Nguyen, Tuan Dung Nguyen, Long Tan Le, Canh T. Dinh, Nguyen Hoang Tran

CoRR, 2022

Mapping Topics in 100, 000 Real-Life Moral Dilemmas.

Tuan Dung Nguyen, Georgiana Lyall, Alasdair Tran, Minjeong Shin, Nicholas George Carroll, Colin Klein, Lexing Xie

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

2021

Accelerating Federated Edge Learning.

Tuan Dung Nguyen, Amir Rezaei Balef, Canh T. Dinh, Nguyen Hoang Tran, Duy T. Ngo, Tuan Anh Le, Phuong Luu Vo

IEEE Commun. Lett., 2021

Deployable Telescopic Tubular Mechanisms With a Steerable Tongue Depressor Towards Self-Administered Oral Swab.

Kirthika Senthil Kumar, Tuan Dung Nguyen, Manivannan Sivaperuman Kalairaj, Vishnu Mani Hema, Catherine Jiayi Cai, Hui Huang, Chwee Ming Lim, Hongliang Ren

Frontiers Robotics AI, 2021

2020

DONE: Distributed Newton-type Method for Federated Edge Learning.

Canh T. Dinh, Nguyen Hoang Tran, Tuan Dung Nguyen, Wei Bao, Amir Rezaei Balef

CoRR, 2020

Personalized Federated Learning with Moreau Envelopes.

Canh T. Dinh, Nguyen Hoang Tran, Tuan Dung Nguyen

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Federated Learning with Proximal Stochastic Variance Reduced Gradient Algorithms.

Canh T. Dinh, Nguyen Hoang Tran, Tuan Dung Nguyen, Wei Bao, Albert Y. Zomaya, Bing Bing Zhou

Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

2010

Performance evaluation of optical packet switching technology : access control, resource allocation and QoS management for metropolitan and access networks. (Evaluation de performances de la technologie de commutation de paquets optiques : contrôle d'accès, allocation des ressources et qualité de service pour les réseaux métropolitains et d'accès).

Tuan Dung Nguyen

PhD thesis, 2010

2007

A Socially Inspired Peer-to-Peer Resource Discovery Service for Delay Tolerant Networks.

Tuan Dung Nguyen, Siegfried Rouvrais

Proceedings of the On the Move to Meaningful Internet Systems 2007: OTM 2007 Workshops, 2007