Nam Nguyen

78 papers A* 8A 4B 5Misc 11Journal 31Unranked 17
YearRankTypeTitle / Venue / Authors
2026 — conf
VR Panorama Inpainting: A Feasibility Study of High-Resolution View Synthesis for Virtual Reality.
AIxVR
Lillian Eagan, Nam Nguyen, Angela Victoria Chen, Theresa Zhu, Seth Maxwell Johnson, Pranav Reddy Dumpa, Benjamin Jonson Geil, Jonathan Ventura, Stefanie Zollmann
2025 J jnl
BEDTime: A Unified Benchmark for Automatically Describing Time Series.
CoRR
Medhasweta Sen, Zachary Gottesman, Jiaxing Qiu, C. Bayan Bruss, Nam Nguyen, Tom Hartvigsen
2025 J jnl
EEG-X: Device-Agnostic and Noise-Robust Foundation Model for EEG.
CoRR
Navid Mohammadi Foumani, Soheila Ghane, Nam Nguyen, Mahsa Salehi, Geoffrey I. Webb, Geoffrey Mackellar
2025 J jnl
Memory-Efficient Batching for Time Series Transformer Training: A Systematic Evaluation.
Algorithms
Phanwadee Sinthong, Nam Nguyen, Vijay Ekambaram, Arindam Jati, Jayant Kalagnanam, Peeravit Koad
2025 J jnl
Quantum Dynamics Simulation of the Advection-Diffusion Equation.
CoRR
Hirad Alipanah, Feng Zhang, Yongxin Yao, Richard Thompson, Nam Nguyen, Junyu Liu, Peyman Givi, Brian J. McDermott, Juan José Mendoza-Arenas
2025 J jnl
VEIGAR: View-consistent Explicit Inpainting and Geometry Alignment for 3D object Removal.
CoRR
Pham Khai Nguyen Do, Bao Nguyen Tran, Nam Nguyen, Duc Dung Nguyen
2024 — conf
3D Pano Inpainting: Building a VR Environment from a Single Input Panorama.
VR Workshops
Shivam Asija, Edward Du, Nam Nguyen, Stefanie Zollmann, Jonathan Ventura
2024 J jnl
CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation.
CoRR
Claudius Krause, Michele Faucci Giannelli, Gregor Kasieczka, Benjamin Nachman, Dalila Salamani, David Shih, Anna Zaborowska, Oz Amram, Kerstin Borras, Matthew R. Buckley, Erik Buhmann, Thorsten Buss, Renato Paulo Da Costa Cardoso, Anthony L. Caterini, Nadezda Chernyavskaya, Federico A. G. Corchia, Jesse C. Cresswell, Sascha Diefenbacher, Etienne Dreyer, Vijay Ekambaram, Engin Eren, Florian Ernst, Luigi Favaro, Matteo Franchini, Frank Gaede, Eilam Gross, Shih-Chieh Hsu, Kristina Jaruskova, Benno Käch, Jayant Kalagnanam, Raghav Kansal, Taewoo Kim, Dmitrii Kobylianskii, Anatolii Korol, William Korcari, Dirk Krücker, Katja Krüger, Marco Letizia, Shu Li, Qibin Liu, Xiulong Liu, Gabriel Loaiza-Ganem, Thandikire Madula, Peter McKeown, Isabell-A. Melzer-Pellmann, Vinicius Mikuni, Nam Nguyen, Ayodele Ore, Sofia Palacios Schweitzer, Ian Pang, Kevin Pedro, Tilman Plehn, Witold Pokorski, Huilin Qu, Piyush Raikwar, John A. Raine, Humberto Reyes-González, Lorenzo Rinaldi, Brendan Leigh Ross, Moritz A. W. Scham, Simon Schnake, Chase Shimmin, Eli Shlizerman, Nathalie Soybelman, Mudhakar Srivatsa, Kalliopi Tsolaki, Sofia Vallecorsa, Kyongmin Yeo, Rui Zhang
2024 J jnl
CodeGemma: Open Code Models Based on Gemma.
CoRR
Heri Zhao, Jeffrey Hui, Joshua Howland, Nam Nguyen, Siqi Zuo, Andrea Hu, Christopher A. Choquette-Choo, Jingyue Shen, Joe Kelley, Kshitij Bansal, Luke Vilnis, Mateo Wirth, Paul Michel, Peter Choy, Pratik Joshi, Ravin Kumar, Sarmad Hashmi, Shubham Agrawal, Zhitao Gong, Jane Fine, Tris Warkentin, Ale Jakse Hartman, Bin Ni, Kathy Korevec, Kelly Schaefer, Scott Huffman
2024 J jnl
CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation.
CoRR
Huy Trinh, Khang Tran, Nam Nguyen, Tri Cao, Binh Nguyen
2024 A* conf
EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs.
KDD
Navid Mohammadi Foumani, Geoffrey Mackellar, Soheila Ghane, Saad Irtza, Nam Nguyen, Mahsa Salehi
2024 J jnl
EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs.
CoRR
Navid Mohammadi Foumani, Geoffrey Mackellar, Soheila Ghane, Saad Irtza, Nam Nguyen, Mahsa Salehi
2024 J jnl
Leveraging AI for Enhanced Software Effort Estimation: A Comprehensive Study and Framework Proposal.
CoRR
Nhi Tran, Tan Tran, Nam Nguyen
2024 Misc conf
QubiCML: ML-Powered Real-Time Quantum State Discrimination Enabling Mid-Circuit Measurements.
QCE
Neel R. Vora, Yilun Xu, Akel Hasim, Neelay Fruitwala, Nam Nguyen, Horan Liao, Jan Balewski, Abhi D. Rajagopala, Kasra Nowrouzi, Qing Ji, K. Birgitta Whaley, Irfan Siddiqi, Phuc Nguyen, Gang Huang
2024 A* conf
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series.
NeurIPS
Vijay Ekambaram, Arindam Jati, Pankaj Dayama, Sumanta Mukherjee, Nam Nguyen, Wesley M. Gifford, Chandra Reddy, Jayant Kalagnanam
2023 — conf
A Preliminary Study of System Dynamics Models for Resilient and Smart Cities.
IEEM
Yuan Chai, Indra Gunawan, Nam Nguyen, Jian Zuo
2023 J jnl
A Supervised Contrastive Learning Pretrain-Finetune Approach for Time Series.
CoRR
Trang H. Tran, Lam M. Nguyen, Kyongmin Yeo, Nam Nguyen, Roman Vaculín
2023 J jnl
AI Foundation Models for Weather and Climate: Applications, Design, and Implementation.
CoRR
S. Karthik Mukkavilli, Daniel Salles Civitarese, Johannes Schmude, Johannes Jakubik, Anne Jones, Nam Nguyen, Christopher Phillips, Sujit Roy, Shraddha Singh, Campbell D. Watson, Raghu K. Ganti, Hendrik F. Hamann, Udaysankar Nair, Rahul Ramachandran, Kommy Weldemariam
2023 J jnl
An End-to-End Time Series Model for Simultaneous Imputation and Forecast.
CoRR
Trang H. Tran, Lam M. Nguyen, Kyongmin Yeo, Nam Nguyen, Dzung T. Phan, Roman Vaculín, Jayant Kalagnanam
2023 J jnl
Application of Deep Learning for Classification of Intertidal Eelgrass from Drone-Acquired Imagery.
Remote. Sens.
Krti Tallam, Nam Nguyen, Jonathan Ventura, Andrew Fricker, Sadie Calhoun, Jennifer O'Leary, Mauriça Fitzgibbons, Ian Robbins, Ryan K. Walter
2023 J jnl
Biomarker Discovery with Quantum Neural Networks: A Case-study in CTLA4-Activation Pathways.
CoRR
Nam Nguyen
2023 A* conf
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting.
KDD
Vijay Ekambaram, Arindam Jati, Nam Nguyen, Phanwadee Sinthong, Jayant Kalagnanam
2023 J jnl
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting.
CoRR
Vijay Ekambaram, Arindam Jati, Nam Nguyen, Phanwadee Sinthong, Jayant Kalagnanam
2023 A* conf
ViSoBERT: A Pre-Trained Language Model for Vietnamese Social Media Text Processing.
EMNLP
Nam Nguyen, Thang Phan, Duc-Vu Nguyen, Kiet Van Nguyen
2022 J jnl
Balancing stability and plasticity when learning topic models from short and noisy text streams.
Neurocomputing
Tung Nguyen, Trung Mai, Nam Nguyen, Linh Ngo Van, Khoat Than
2022 — conf
Complex Systems of Disaster Response: The Case of COVID-19.
IEEM
Yuan Chai, Indra Gunawan, Nam Nguyen, Jian Zuo
2022 J jnl
Situation and Proposals for Implementing Artificial Intelligence-based Instructional Technology in Vietnamese Secondary Schools.
Int. J. Emerg. Technol. Learn.
Giam Nguyen, Nam Nguyen, Nguyen Thi Huong Giang
2022 B conf
TF-GeneNAS: An evolution-based training-free approach to Neural Architecture Search.
IJCNN
Long Doan, Hieu Le, Huy Dang, Long Tran, Dao Hoang Long, Hai Minh Nguyen, Hanh Pham, Nam Nguyen, Ngoc Hoang Luong, Huynh Thi Thanh Binh
2021 A conf
Automated driving safety - The art of conscious risk taking - minimum lateral distances to pedestrians.
DATE
Bert Böddeker, Wilhard von Wendorff, Nam Nguyen, Peter Diehl, Roland Meertens, Rolf Johannson
2021 Misc conf
Creation of a Mapped, Machine-Readable Taxonomy to Facilitate Extraction of Social Determinants of Health Data from Electronic Health Records.
AMIA
Svati B. Patel, Nam Nguyen
2021 — conf
ICDAR 2021 Competition on Historical Map Segmentation.
ICDAR (4)
Joseph Chazalon, Edwin Carlinet, Yizi Chen, Julien Perret, Bertrand Duménieu, Clément Mallet, Thierry Géraud, Vincent Nguyen, Nam Nguyen, Josef Baloun, Ladislav Lenc, Pavel Král
2021 J jnl
ICDAR 2021 Competition on Historical Map Segmentation.
CoRR
Joseph Chazalon, Edwin Carlinet, Yizi Chen, Julien Perret, Bertrand Duménieu, Clément Mallet, Thierry Géraud, Vincent Nguyen, Nam Nguyen, Josef Baloun, Ladislav Lenc, Pavel Král
2021 B conf
Identifying Hubs in Undergraduate Course Networks Based on Scaled Co-Enrollments.
EDM
Gary Weiss, Nam Nguyen, Karla Dominguez, Daniel D. Leeds
2021 J jnl
Identifying Hubs in Undergraduate Course Networks Based on Scaled Co-Enrollments: Extended Version.
CoRR
Gary M. Weiss, Nam Nguyen, Karla Dominguez, Daniel D. Leeds
2021 A* conf
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting.
AAAI
Nam Nguyen, Brian Quanz
2021 J jnl
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting.
CoRR
Nam Nguyen, Brian Quanz
2020 Misc conf
Feature Importance Determination of a Diabetes Risk Classification Model.
AMIA
Adetomiwa O. Oguntuga, Jordan Overcash, Gaurika Tyagi, Nam Nguyen
2019 Misc conf
Building a LVEF extraction pipeline for SOAP notes.
AMIA
Adetomiwa O. Oguntuga, Jordan Overcash, Nam Nguyen
2019 A* conf
Estimating Information Flow in Deep Neural Networks.
ICML
Ziv Goldfeld, Ewout van den Berg, Kristjan H. Greenewald, Igor Melnyk, Nam Nguyen, Brian Kingsbury, Yury Polyanskiy
2019 Misc conf
Extracting and Standardizing Social Determinants of Health Diagnosis from Problems List from a Large Ambulatory Electronic Health Record (EHR) Database.
AMIA
Svati B. Patel, Nam Nguyen
2019 Misc conf
Mapping Unstructured Diagnoses to ICD10 using Natural Language Processing and Web-Scraping.
AMIA
Theresa C. Sudaria, Nam Nguyen
2019 B conf
Peak Area Detection Network for Directly Learning Phase Regions from Raw X-ray Diffraction Patterns.
IJCNN
Dipendra Jha, Aaron Gilad Kusne, Reda Al-Bahrani, Nam Nguyen, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal
2018 J jnl
29
SIGWEB Newsl.
Dongwon Lee, Nishanth Sastry, Ingmar Weber, Nam Nguyen
2018 A* conf
DE-RNN: Forecasting the Probability Density Function of Nonlinear Time Series.
ICDM
Kyongmin Yeo, Igor Melnyk, Nam Nguyen, Eun Kyung Lee
2018 J jnl
Effect of potting materials on LED bulb's driver temperature.
Microelectron. Reliab.
Nam Nguyen, Van-Quyen Dinh, Tung Nguyen-Duc, Quoc-Tuan Ta, Xuan-Viet Dao, Thanh-Huy Pham, Trung-Kien Nguyen-Duc
2018 J jnl
Estimating Information Flow in Neural Networks.
CoRR
Ziv Goldfeld, Ewout van den Berg, Kristjan H. Greenewald, Igor Melnyk, Nam Nguyen, Brian Kingsbury, Yury Polyanskiy
2018 Misc conf
Extraction of DEXA Lab Values from SOAP Notes using the MITRE Identification Scrubber Toolkit (MIST) to Perform Named Entity Recognition.
AMIA
Adetomiwa O. Oguntuga, Alan Wilks, Gaurika Tyagi, Nam Nguyen
2018 Misc conf
Machine Learning Assisted Custom Lab Order Sets Creation.
AMIA
Gaurika Tyagi, Adetomiwa O. Oguntuga, Morgan Harrell, Alina Bogdanov, Nam Nguyen
2018 — conf
On Improvement of Channel Estimation for the Uplink of Large Scale MU-MIMO using DMRS.
5G World Forum
Hai Tran, Tuan-Anh Mai, Dang-Huy Vuong, Nam Nguyen
2017 Misc conf
Effectiveness of a Cloud-Based EHR Clinical Decision Support Program for Body Mass Index (BMI) Screening and Follow-up.
AMIA
Shruti Gangadhar, Nam Nguyen, James Pesuit, Alina Bogdanov, Lee Kallenbach, Jessica Ken, Joe Vasey, Richard M. Loomis
2017 — conf
Grid-free compressive beamforming using a single moving sensor of known trajectory.
APSIPA
Yi Yang Ang, Nam Nguyen, Joni Polili Lie, Woon-Seng Gan
2017 J jnl
Linear Convergence of Stochastic Iterative Greedy Algorithms With Sparse Constraints.
IEEE Trans. Inf. Theory
Nam Nguyen, Deanna Needell, Tina Woolf
2017 — conf
Localization of harmonic source using a single moving sensor of known trajectory.
APSIPA
Yi Yang Ang, Nam Nguyen, Joni Polili Lie, Woon-Seng Gan
2017 — conf
Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee.
NIPS
Alireza Aghasi, Afshin Abdi, Nam Nguyen, Justin Romberg
2017 Misc conf
Reach and Impact of an EHR Pain Care Clinical Decision Support Program.
AMIA
Steven E. Labkoff, Christopher Bond, Lee Kallenbach, Nam Nguyen, Shruti Gangadhar, Dan O'Brien
2016 — ed.
4th Intl Conf on Applied Computing and Information Technology/3rd Intl Conf on Computational Science/Intelligence and Applied Informatics/1st Intl Conf on Big Data, Cloud Computing, Data Science & Engineering, ACIT-CSII-BCD 2016, Las Vegas, NV, USA, December 12-14, 2016
ACIT/CSII/BCD
Takaaki Goto, Simon Xu, Nam Nguyen, Weimin Li
2016 J jnl
Net-Trim: A Layer-wise Convex Pruning of Deep Neural Networks.
CoRR
Alireza Aghasi, Nam Nguyen, Justin Romberg
2016 B conf
SPEC: An Equivalence Checker for Security Protocols.
APLAS
Alwen Tiu, Nam Nguyen, Ross Horne
2015 J jnl
A Novel WLAN Roaming Decision and Selection Scheme for Mobile Data Offloading.
J. Electr. Comput. Eng.
Nam Nguyen, Mohammad Arifuzzaman, Takuro Sato
2015 J jnl
PASTA: Ultra-Large Multiple Sequence Alignment for Nucleotide and Amino-Acid Sequences.
J. Comput. Biol.
Siavash Mirarab, Nam Nguyen, Sheng Guo, Li-San Wang, Junhyong Kim, Tandy J. Warnow
2015 J jnl
The recoverability limit for superresolution via sparsity.
CoRR
Laurent Demanet, Nam Nguyen
2014 — conf
A Proposal for Dynamic WLAN Selection for Mobile Data Offloading in Heterogeneous Network.
VTC Spring
Nam Nguyen, Takuro Sato
2014 J jnl
Linear Convergence of Stochastic Iterative Greedy Algorithms with Sparse Constraints.
CoRR
Nam Nguyen, Deanna Needell, Tina Woolf
2014 — ed.
Systems Thinking - New Directions in Theory, Practice and Application: Proceedings of the Seventeenth IFSR Conversation: International Federation for Systems Research, St. Magdalena / Linz, Austria, April 27 - May 2, 2014.
IFSR Conversation
Mary C. Edson, Gary S. Metcalf, Gerhard Chroust, Nam Nguyen, Stefan Blachfellner
2014 — conf
Thrivable Systems - from Vision to Reality.
IFSR Conversation
Alexander Laszlo, Stefan Blachfellner, Ockie J. H. Bosch, Violeta Bulc, Valeria Delgado, Dino Karabeg, Mingfen Li, Nam Nguyen, Warwick Watkins
2013 — conf
Adaptive pilot placement for estimation of vehicle to vehicle wireless channel.
ICCVE
Sagar Dhakal, Nam Nguyen, James E. Womack
2013 — conf
Localization of handheld devices inside vehicles using audio masking.
ICCVE
Nam Nguyen, Sagar Dhakal, James E. Womack
2013 — conf
Sparse image super-resolution via superset selection and pruning.
CAMSAP
Nam Nguyen, Laurent Demanet
2013 J jnl
Super-resolution via superset selection and pruning
CoRR
Laurent Demanet, Deanna Needell, Nam Nguyen
2012 — conf
NLOS-communication between shadowed vehicles using by-standing relay vehicles.
ITSC
Sagar Dhakal, Yupeng Jia, Nam Nguyen
2012 Misc conf
SEPP: SATe -Enabled Phylogenetic Placement.
Pacific Symposium on Biocomputing
Siavash Mirarab, Nam Nguyen, Tandy J. Warnow
2011 A conf
Searchable web sites recommendation.
WSDM
Yang Song, Nam Nguyen, Li-wei He, Scott Imig, Robert Rounthwaite
2010 A* conf
A New SVM Approach to Multi-instance Multi-label Learning.
ICDM
Nam Nguyen
2010 A conf
Improving Hierarchical Classification with Partial Labels.
ECAI
Nam Nguyen
2008 — conf
A 0.5-to-480MHz Self-Referenced CMOS Clock Generator with 90ppm Total Frequency Error and Spread-Spectrum Capability.
ISSCC
Michael S. McCorquodale, Scott M. Pernia, Justin D. O'Day, Gordon A. Carichner, Eric D. Marsman, Nam Nguyen, Sundus Kubba, Si Nguyen, Jonathan J. Kuhn, Richard B. Brown
2008 B conf
Boosting performance for 2D Linear Discriminant Analysis via regression.
ICPR
Nam Nguyen, Wanquan Liu, Svetha Venkatesh
2007 — conf
Random Subspace Two-Dimensional PCA for Face Recognition.
PCM
Nam Nguyen, Wanquan Liu, Svetha Venkatesh
2005 A conf
Discovery of Activity Structures using the Hierarchical Hidden Markov Model.
BMVC
Nam Nguyen, Svetha Venkatesh