A Socially Inspired Peer-to-Peer Resource Discovery Service for Delay Tolerant Networks. - Tuan Dung Nguyen; Siegfried Rouvrais (OTM Workshops (2), 2007)

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 (2010)

Federated Learning with Proximal Stochastic Variance Reduced Gradient Algorithms. - Canh T. Dinh; Nguyen Hoang Tran; Tuan Dung Nguyen; Wei Bao 001; Albert Y. Zomaya; Bing Bing Zhou (ICPP, 2020)

Personalized Federated Learning with Moreau Envelopes. - Canh T. Dinh; Nguyen Hoang Tran; Tuan Dung Nguyen (NeurIPS, 2020)

DONE: Distributed Newton-type Method for Federated Edge Learning. - Canh T. Dinh; Nguyen Hoang Tran; Tuan Dung Nguyen; Wei Bao 001; Amir Rezaei Balef (CoRR, 2020)

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 001 (Frontiers Robotics AI, 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)

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 (ICWSM, 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)

High-order Scharfetter-Gummel-based schemes and applications to gas discharge modeling. - Tuan Dung Nguyen; Christophe Besse; François Rogier (J. Comput. Phys., 2022)

DONE: Distributed Approximate Newton-type Method for Federated Edge Learning. - Canh T. Dinh; Nguyen Hoang Tran; Tuan Dung Nguyen; Wei Bao 001; Amir Rezaei Balef; Bing Bing Zhou; Albert Y. Zomaya (IEEE Trans. Parallel Distributed Syst., 2022)

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; et al. (CoRR, 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)

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 (AAAI, 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 001; Nguyen Hoang Tran (CIKM, 2024)

Measuring Moral Dimensions in Social Media with Mformer. - Tuan Dung Nguyen; Ziyu Chen; Nicholas George Carroll; Alasdair Tran; Colin Klein; Lexing Xie (ICWSM, 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 (IJCNN, 2024)

AstroMLab 2: AstroLLaMA-2-70B Model and Benchmarking Specialised LLMs for Astronomy. - Rui Pan 002; Tuan Dung Nguyen; Hardik Arora; Alberto Accomazzi; Tirthankar Ghosal; Yuan-Sen Ting (SC Workshops, 2024)

AstroLLaMA-Chat: Scaling AstroLLaMA with Conversational and Diverse Datasets. - Ernest Perkowski; Rui Pan 002; Tuan Dung Nguyen; Yuan-Sen Ting; Sandor Kruk; Tong Zhang 001; Charlie O'Neill; Maja Jablonska; Zechang Sun; Michael J. Smith 013; Huiling Liu; Kevin Schawinski; et al. (CoRR, 2024)

Federated PCA on Grassmann Manifold for IoT Anomaly Detection. - Tung-Anh Nguyen; Long Tan Le; Tuan Dung Nguyen; Wei Bao 001; Suranga Seneviratne; Choong Seon Hong; Nguyen Hoang Tran (IEEE/ACM Trans. Netw., 2024)

Sign Language Recognition: A Large-scale Multi-view Dataset and Comprehensive Evaluation. - 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 (WACV, 2025)

AstroMLab 1: Who wins astronomy jeopardy!? - Yuan-Sen Ting; Tuan Dung Nguyen; Tirthankar Ghosal; Rui Pan 002; Hardik Arora; Zechang Sun; Tijmen de Haan; Nesar Ramachandra; Azton Wells; Sandeep Madireddy; Alberto Accomazzi (Astron. Comput., 2025)

Empirically evaluating commonsense intelligence in large language models with large-scale human judgments. - Tuan Dung Nguyen; Duncan J. Watts; Mark E. Whiting (CoRR, 2025)

AstroMLab 4: Benchmark-Topping Performance in Astronomy Q&A with a 70B-Parameter Domain-Specialized Reasoning Model. - Tijmen de Haan; Yuan-Sen Ting; Tirthankar Ghosal; Tuan Dung Nguyen; Alberto Accomazzi; Emily Herron; Vanessa Lama; Rui Pan 002; Azton Wells; Nesar Ramachandra (CoRR, 2025)