Tuan Dung Nguyen

34 papers A* 3A 4B 2Journal 22Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Overthinking Causes Hallucination: Tracing Confounder Propagation in Vision Language Models.
CoRR
Abin Shoby, Ta Duc Huy, Tuan Dung Nguyen, Minh Khoi Ho, Qi Chen, Anton van den Hengel, Phi Le Nguyen, Johan W. Verjans, Vu Minh Hieu Phan
2025 J jnl
AstroMLab 1: Who wins astronomy jeopardy!?
Astron. Comput.
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
2025 J jnl
AstroMLab 4: Benchmark-Topping Performance in Astronomy Q&A with a 70B-Parameter Domain-Specialized Reasoning Model.
CoRR
Tijmen de Haan, Yuan-Sen Ting, Tirthankar Ghosal, Tuan Dung Nguyen, Alberto Accomazzi, Emily Herron, Vanessa Lama, Rui Pan, Azton Wells, Nesar Ramachandra
2025 J jnl
Empirically evaluating commonsense intelligence in large language models with large-scale human judgments.
CoRR
Tuan Dung Nguyen, Duncan J. Watts, Mark E. Whiting
2025 A* conf
MoVa: Towards Generalizable Classification of Human Morals and Values.
EMNLP
Ziyu Chen, Junfei Sun, Chenxi Li, Tuan Dung Nguyen, Jing Yao, Xiaoyuan Yi, Xing Xie, Chenhao Tan, Lexing Xie
2025 J jnl
MoVa: Towards Generalizable Classification of Human Morals and Values.
CoRR
Ziyu Chen, Junfei Sun, Chenxi Li, Tuan Dung Nguyen, Jing Yao, Xiaoyuan Yi, Xing Xie, Chenhao Tan, Lexing Xie
2025 A conf
Sign Language Recognition: A Large-scale Multi-view Dataset and Comprehensive Evaluation.
WACV
Nguyen Son Dinh, Tuan Dung Nguyen, Duc Tri Tran, Nguyen Dang Huy Pham, Thuan Hieu Tran, Ngoc Anh Tong, Quang Huy Hoang, Phi Le Nguyen
2024 J jnl
AstroLLaMA-Chat: Scaling AstroLLaMA with Conversational and Diverse Datasets.
CoRR
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
2024 J jnl
AstroMLab 1: Who Wins Astronomy Jeopardy!?
CoRR
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
2024 — conf
AstroMLab 2: AstroLLaMA-2-70B Model and Benchmarking Specialised LLMs for Astronomy.
SC Workshops
Rui Pan, Tuan Dung Nguyen, Hardik Arora, Alberto Accomazzi, Tirthankar Ghosal, Yuan-Sen Ting
2024 J jnl
AstroMLab 2: AstroLLaMA-2-70B Model and Benchmarking Specialised LLMs for Astronomy.
CoRR
Rui Pan, Tuan Dung Nguyen, Hardik Arora, Alberto Accomazzi, Tirthankar Ghosal, Yuan-Sen Ting
2024 A conf
Federated Deep Equilibrium Learning: Harnessing Compact Global Representations to Enhance Personalization.
CIKM
Long Tan Le, Tuan Dung Nguyen, Tung-Anh Nguyen, Choong Seon Hong, Suranga Seneviratne, Wei Bao, Nguyen Hoang Tran
2024 J jnl
Federated PCA on Grassmann Manifold for IoT Anomaly Detection.
CoRR
Tung-Anh Nguyen, Long Tan Le, Tuan Dung Nguyen, Wei Bao, Suranga Seneviratne, Choong Seon Hong, Nguyen Hoang Tran
2024 J jnl
Federated PCA on Grassmann Manifold for IoT Anomaly Detection.
IEEE/ACM Trans. Netw.
Tung-Anh Nguyen, Long Tan Le, Tuan Dung Nguyen, Wei Bao, Suranga Seneviratne, Choong Seon Hong, Nguyen Hoang Tran
2024 B conf
Hierarchical Federated Learning in MEC Networks with Knowledge Distillation.
IJCNN
Tuan Dung Nguyen, Ngoc Anh Tong, Binh P. Nguyen, Quoc Viet Hung Nguyen, Phi Le Nguyen, Thanh Trung Huynh
2024 A conf
Measuring Moral Dimensions in Social Media with Mformer.
ICWSM
Tuan Dung Nguyen, Ziyu Chen, Nicholas George Carroll, Alasdair Tran, Colin Klein, Lexing Xie
2024 A* conf
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods.
AAAI
Anh Duc Nguyen, Tuan Dung Nguyen, Quang Minh Nguyen, Hoang H. Nguyen, Lam M. Nguyen, Kim-Chuan Toh
2023 J jnl
AstroLLaMA: Towards Specialized Foundation Models in Astronomy.
CoRR
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
2023 J jnl
Federated Deep Equilibrium Learning: A Compact Shared Representation for Edge Communication Efficiency.
CoRR
Long Tan Le, Tuan Dung Nguyen, Tung-Anh Nguyen, Choong Seon Hong, Nguyen Hoang Tran
2023 J jnl
Measuring Moral Dimensions in Social Media with Mformer.
CoRR
Tuan Dung Nguyen, Ziyu Chen, Nicholas George Carroll, Alasdair Tran, Colin Klein, Lexing Xie
2023 J jnl
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods.
CoRR
Anh Duc Nguyen, Tuan Dung Nguyen, Quang Minh Nguyen, Hoang H. Nguyen, Lam M. Nguyen, Kim-Chuan Toh
2022 J jnl
DONE: Distributed Approximate Newton-type Method for Federated Edge Learning.
IEEE Trans. Parallel Distributed Syst.
Canh T. Dinh, Nguyen Hoang Tran, Tuan Dung Nguyen, Wei Bao, Amir Rezaei Balef, Bing Bing Zhou, Albert Y. Zomaya
2022 J jnl
High-order Scharfetter-Gummel-based schemes and applications to gas discharge modeling.
J. Comput. Phys.
Tuan Dung Nguyen, Christophe Besse, François Rogier
2022 A conf
Mapping Topics in 100, 000 Real-Life Moral Dilemmas.
ICWSM
Tuan Dung Nguyen, Georgiana Lyall, Alasdair Tran, Minjeong Shin, Nicholas George Carroll, Colin Klein, Lexing Xie
2022 J jnl
Mapping Topics in 100, 000 Real-life Moral Dilemmas.
CoRR
Tuan Dung Nguyen, Georgiana Lyall, Alasdair Tran, Minjeong Shin, Nicholas George Carroll, Colin Klein, Lexing Xie
2022 J jnl
On the Generalization of Wasserstein Robust Federated Learning.
CoRR
Tung-Anh Nguyen, Tuan Dung Nguyen, Long Tan Le, Canh T. Dinh, Nguyen Hoang Tran
2021 J jnl
Accelerating Federated Edge Learning.
IEEE Commun. Lett.
Tuan Dung Nguyen, Amir Rezaei Balef, Canh T. Dinh, Nguyen Hoang Tran, Duy T. Ngo, Tuan Anh Le, Phuong Luu Vo
2021 J jnl
Deployable Telescopic Tubular Mechanisms With a Steerable Tongue Depressor Towards Self-Administered Oral Swab.
Frontiers Robotics AI
Kirthika Senthil Kumar, Tuan Dung Nguyen, Manivannan Sivaperuman Kalairaj, Vishnu Mani Hema, Catherine Jiayi Cai, Hui Huang, Chwee Ming Lim, Hongliang Ren
2020 J jnl
DONE: Distributed Newton-type Method for Federated Edge Learning.
CoRR
Canh T. Dinh, Nguyen Hoang Tran, Tuan Dung Nguyen, Wei Bao, Amir Rezaei Balef
2020 B conf
Federated Learning with Proximal Stochastic Variance Reduced Gradient Algorithms.
ICPP
Canh T. Dinh, Nguyen Hoang Tran, Tuan Dung Nguyen, Wei Bao, Albert Y. Zomaya, Bing Bing Zhou
2020 A* conf
Personalized Federated Learning with Moreau Envelopes.
NeurIPS
Canh T. Dinh, Nguyen Hoang Tran, Tuan Dung Nguyen
2020 J jnl
Personalized Federated Learning with Moreau Envelopes.
CoRR
Canh T. Dinh, Nguyen Hoang Tran, Tuan Dung Nguyen
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
2007 — conf
A Socially Inspired Peer-to-Peer Resource Discovery Service for Delay Tolerant Networks.
OTM Workshops (2)
Tuan Dung Nguyen, Siegfried Rouvrais