Tuan Dung Nguyen

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 20

Top Venues

Telecom & Management SudParis, Évry, Essonne, France (PHD)

Education History

Telecom & Management SudParis, Évry, Essonne, France

PHD

Publications

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
AstroMLab 1: Who Wins Astronomy Jeopardy!? CoRR (2024)
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
AstroLLaMA-Chat: Scaling AstroLLaMA with Conversational and Diverse Datasets. CoRR (2024)
Anh Duc Nguyen, Tuan Dung Nguyen, Quang Minh Nguyen, Hoang H. Nguyen, Lam M. Nguyen, Kim-Chuan Toh
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods. AAAI (2024)
Tuan Dung Nguyen, Ziyu Chen, Nicholas George Carroll, Alasdair Tran, Colin Klein, Lexing Xie
Measuring Moral Dimensions in Social Media with Mformer. ICWSM (2024)
Tung-Anh Nguyen, Long Tan Le, Tuan Dung Nguyen, Wei Bao, Suranga Seneviratne, Choong Seon Hong, Nguyen Hoang Tran
Federated PCA on Grassmann Manifold for IoT Anomaly Detection. CoRR (2024)
Long Tan Le, Tuan Dung Nguyen, Tung-Anh Nguyen, Choong Seon Hong, Nguyen Hoang Tran
Federated Deep Equilibrium Learning: A Compact Shared Representation for Edge Communication Efficiency. CoRR (2023)
Anh Duc Nguyen, Tuan Dung Nguyen, Quang Minh Nguyen, Hoang H. Nguyen, Lam M. Nguyen, Kim-Chuan Toh
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods. CoRR (2023)
Tuan Dung Nguyen, Ziyu Chen, Nicholas George Carroll, Alasdair Tran, Colin Klein, Lexing Xie
Measuring Moral Dimensions in Social Media with Mformer. CoRR (2023)
Tuan Dung Nguyen, Yuan-Sen Ting, Ioana Ciuca, Charlie O'Neill, Ze-Chang 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 Bui, Alyssa Goodman, Alberto Accomazzi, Jill P. Naiman, Jesse Cranney, Kevin Schawinski, UniverseTBD
AstroLLaMA: Towards Specialized Foundation Models in Astronomy. CoRR (2023)
Tung-Anh Nguyen, Tuan Dung Nguyen, Long Tan Le, Canh T. Dinh, Nguyen Hoang Tran
On the Generalization of Wasserstein Robust Federated Learning. CoRR (2022)
Tuan Dung Nguyen, Georgiana Lyall, Alasdair Tran, Minjeong Shin, Nicholas George Carroll, Colin Klein, Lexing Xie
Mapping Topics in 100, 000 Real-life Moral Dilemmas. CoRR (2022)
Tuan Dung Nguyen, Christophe Besse, François Rogier
High-order Scharfetter-Gummel-based schemes and applications to gas discharge modeling. J. Comput. Phys. 461 (2022)
Canh T. Dinh, Nguyen Hoang Tran, Tuan Dung Nguyen, Wei Bao, Amir Rezaei Balef, Bing Bing Zhou, Albert Y. Zomaya
DONE: Distributed Approximate Newton-type Method for Federated Edge Learning. IEEE Trans. Parallel Distributed Syst. 33 (11) (2022)
Tuan Dung Nguyen, Georgiana Lyall, Alasdair Tran, Minjeong Shin, Nicholas George Carroll, Colin Klein, Lexing Xie
Mapping Topics in 100, 000 Real-Life Moral Dilemmas. ICWSM (2022)
Kirthika Senthil Kumar, Tuan Dung Nguyen, Manivannan Sivaperuman Kalairaj, Vishnu Mani Hema, Catherine Jiayi Cai, Hui Huang, Chwee Ming Lim, Hongliang Ren
Deployable Telescopic Tubular Mechanisms With a Steerable Tongue Depressor Towards Self-Administered Oral Swab. Frontiers Robotics AI 8 (2021)
Tuan Dung Nguyen, Amir Rezaei Balef, Canh T. Dinh, Nguyen H. Tran, Duy T. Ngo, Tuan Anh Le, Phuong Luu Vo
Accelerating Federated Edge Learning. IEEE Commun. Lett. 25 (10) (2021)
Canh T. Dinh, Nguyen H. Tran, Tuan Dung Nguyen
Personalized Federated Learning with Moreau Envelopes. CoRR (2020)
Canh T. Dinh, Nguyen H. Tran, Tuan Dung Nguyen, Wei Bao, Albert Y. Zomaya, Bing Bing Zhou
Federated Learning with Proximal Stochastic Variance Reduced Gradient Algorithms. ICPP (2020)
Canh T. Dinh, Nguyen H. Tran, Tuan Dung Nguyen, Wei Bao, Amir Rezaei Balef
DONE: Distributed Newton-type Method for Federated Edge Learning. CoRR (2020)
Canh T. Dinh, Nguyen H. Tran, Tuan Dung Nguyen
Personalized Federated Learning with Moreau Envelopes. NeurIPS (2020)
Tuan Dung Nguyen, Siegfried Rouvrais
A Socially Inspired Peer-to-Peer Resource Discovery Service for Delay Tolerant Networks. OTM Workshops (2) (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tuan Dung Nguyen