A Semi-supervised Approach for Generating a Table-of-Contents. - Viet Cuong Nguyen; Le Minh Nguyen 001; Akira Shimazu (RANLP, 2009)

Improving Text Segmentation with Non-systematic Semantic Relation. - Viet Cuong Nguyen; Minh Le Nguyen 001; Akira Shimazu (CICLing (1), 2011)

Learning to Generate a Table-of-Contents with Supportive Knowledge. - Viet Cuong Nguyen; Minh Le Nguyen 001; Akira Shimazu (IEICE Trans. Inf. Syst., 2011)

Mel-frequency Cepstral Coefficients for Eye Movement Identification. - Viet Cuong Nguyen; Vu C. Dinh; Lam Si Tung Ho (ICTAI, 2012)

Generalization and Robustness of Batched Weighted Average Algorithm with V-Geometrically Ergodic Markov Data. - Viet Cuong Nguyen; Lam Si Tung Ho; Vu C. Dinh (ALT, 2013)

Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion. - Viet Cuong Nguyen; Wee Sun Lee; Nan Ye; Kian Ming Adam Chai; Hai Leong Chieu (NIPS, 2013)

Near-optimal Adaptive Pool-based Active Learning with General Loss. - Nguyen Viet Cuong; Wee Sun Lee; Nan Ye (UAI, 2014)

Conditional random field with high-order dependencies for sequence labeling and segmentation. - Viet Cuong Nguyen; Nan Ye; Wee Sun Lee; Hai Leong Chieu (J. Mach. Learn. Res., 2014)

Semi-supervised Learning for Vietnamese Named Entity Recognition using Online Conditional Random Fields. - Quang Hong Pham; Minh Le Nguyen 001; Binh T. Nguyen 001; Nguyen Viet Cuong (NEWS@ACL, 2015)

Scholarly Document Information Extraction using Extensible Features for Efficient Higher Order Semi-CRFs. - Nguyen Viet Cuong; Muthu Kumar Chandrasekaran; Min-Yen Kan; Wee Sun Lee (JCDL, 2015)

Learning from Non-iid Data: Fast Rates for the One-vs-All Multiclass Plug-in Classifiers. - Vu C. Dinh; Lam Si Tung Ho; Viet Cuong Nguyen; Duy M. H. Nguyen; Binh T. Nguyen 001 (TAMC, 2015)

Robustness of Bayesian Pool-Based Active Learning Against Prior Misspecification. - Nguyen Viet Cuong; Nan Ye; Wee Sun Lee (AAAI, 2016)

Maximize Pointwise Cost-sensitively Submodular Functions With Budget Constraint. - Nguyen Viet Cuong; Huan Xu 001 (CoRR, 2016)

Streaming Sparse Gaussian Process Approximations. - Thang D. Bui; Cuong V. Nguyen; Richard E. Turner (NIPS, 2017)

Variational Continual Learning. - Cuong V. Nguyen; Yingzhen Li; Thang D. Bui; Richard E. Turner (ICLR (Poster), 2018)

Partitioned Variational Inference: A unified framework encompassing federated and continual learning. - Thang D. Bui; Cuong V. Nguyen; Siddharth Swaroop; Richard E. Turner (CoRR, 2018)

Transferability and Hardness of Supervised Classification Tasks. - Anh Tuan Tran 001; Cuong V. Nguyen; Tal Hassner (ICCV, 2019)

Punctuation Prediction for Vietnamese Texts Using Conditional Random Fields. - Quang Hong Pham; Binh T. Nguyen 001; Nguyen Viet Cuong (SoICT, 2019)

Improving and Understanding Variational Continual Learning. - Siddharth Swaroop; Cuong V. Nguyen; Thang D. Bui; Richard E. Turner (CoRR, 2019)

Toward Understanding Catastrophic Forgetting in Continual Learning. - Cuong V. Nguyen; Alessandro Achille; Michael Lam; Tal Hassner; Vijay Mahadevan; Stefano Soatto (CoRR, 2019)

Stochastic-Based Power Consumption Analysis for Data Transmission in Wireless Sensor Networks. - Minh Tuan Nguyen; Hien M. Nguyen; Antonino Masaracchia; Cuong V. Nguyen (EAI Endorsed Trans. Ind. Networks Intell. Syst., 2019)

Accelerated Randomized Mirror Descent Algorithms for Composite Non-strongly Convex Optimization. - Le Thi Khanh Hien; Cuong V. Nguyen; Huan Xu 001; Canyi Lu; Jiashi Feng (J. Optim. Theory Appl., 2019)

LEEP: A New Measure to Evaluate Transferability of Learned Representations. - Cuong V. Nguyen; Tal Hassner; Matthias W. Seeger; Cédric Archambeau (ICML, 2020)

An Efficient Framework for Vietnamese Sentiment Classification. - Cuong V. Nguyen; Khiem H. Le; Anh M. Tran; Binh T. Nguyen 001 (SoMeT, 2020)

Ensemble learning reveals dissimilarity between rare-earth transition metal binary alloys with respect to the Curie temperature. - Duong-Nguyen Nguyen; Tien-Lam Pham; Viet Cuong Nguyen; Hiori Kino; Takashi Miyake; Hieu-Chi Dam (CoRR, 2020)

Optimizing Hybrid Energy Harvesting Mechanisms for UAVs. - Toan V. Quyen; Cuong V. Nguyen; Anh M. Le; Minh Tuan Nguyen (EAI Endorsed Trans. Energy Web, 2020)

Wireless Power Transfer Near-field Technologies for Unmanned Aerial Vehicles (UAVs): A Review. - Anh M. Le; Linh H. Truong; Toan V. Quyen; Cuong V. Nguyen; Minh Tuan Nguyen (EAI Endorsed Trans. Ind. Networks Intell. Syst., 2020)

Control Algorithms for UAVs: A Comprehensive Survey. - Hoa T. Nguyen; Toan V. Quyen; Cuong V. Nguyen; Anh M. Le; Hoa T. Tran; Minh Tuan Nguyen (EAI Endorsed Trans. Ind. Networks Intell. Syst., 2020)

The Hybrid Solar-RF Energy for Base Transceiver Stations. - Cuong V. Nguyen; Minh Tuan Nguyen; Toan V. Quyen; Anh M. Le; Linh H. Truong (Wirel. Commun. Mob. Comput., 2020)

Multimodal Machine Learning for Credit Modeling. - Cuong V. Nguyen; Sanjiv R. Das; John He; Shenghua Yue; Vinay Hanumaiah; Xavier Ragot; Li Zhang (COMPSAC, 2021)

A Novel Approach for Enhancing Vietnamese Sentiment Classification. - Cuong V. Nguyen; Khiem H. Le; Binh T. Nguyen 001 (IEA/AIE (2), 2021)

An Empirical Study on GANs with Margin Cosine Loss and Relativistic Discriminator. - Cuong V. Nguyen; Tien-Dung Cao; Tram Truong Huu; Khanh N. Pham; Binh T. Nguyen 001 (CoRR, 2021)

Formation Control Algorithms for Multiple-UAVs: A Comprehensive Survey. - Hai T. Do; Hoang T. Hua; Minh Tuan Nguyen; Cuong V. Nguyen; Hoa Tt. Nguyen; Hoa T. Nguyen; Nga T. Nguyen (EAI Endorsed Trans. Ind. Networks Intell. Syst., 2021)

Evidence-based recommender system for high-entropy alloys. - Minh-Quyet Ha; Duong-Nguyen Nguyen; Viet Cuong Nguyen; Takahiro Nagata; Toyohiro Chikyow; Hiori Kino; Takashi Miyake; Thierry Denoeux; Van-Nam Huynh; Hieu-Chi Dam (Nat. Comput. Sci., 2021)

DRL-Based Intelligent Resource Allocation for Diverse QoS in 5G and toward 6G Vehicular Networks: A Comprehensive Survey. - Hoa Tt. Nguyen; Minh Tuan Nguyen; Hai T. Do; Hoang T. Hua; Cuong V. Nguyen (Wirel. Commun. Mob. Comput., 2021)

Generalization Bounds for Deep Transfer Learning Using Majority Predictor Accuracy. - Cuong N. Nguyen; Lam Si Tung Ho; Vu C. Dinh; Tal Hassner; Cuong V. Nguyen (ISITA, 2022)

Partitioned Variational Inference: A Framework for Probabilistic Federated Learning. - Matthew Ashman; Thang D. Bui; Cuong V. Nguyen; Efstratios Markou; Adrian Weller; Siddharth Swaroop; Richard E. Turner (CoRR, 2022)

Why So Inflammatory? Explainability in Automatic Detection of Inflammatory Social Media Users. - Cuong V. Nguyen; Daniel Nkemelu; Ankit Mehta; Michael L. Best (CoRR, 2022)

Bayesian active learning with abstention feedbacks. - Cuong V. Nguyen; Lam Si Tung Ho; Huan Xu 001; Vu C. Dinh; Binh T. Nguyen 001 (Neurocomputing, 2022)

Learning for amalgamation: A multi-source transfer learning framework for sentiment classification. - Cuong V. Nguyen; Khiem H. Le; Anh M. Tran; Quang Hong Pham; Binh T. Nguyen 001 (Inf. Sci., 2022)

Null-Steering Beamformers for Suppressing Unknown Direction Interferences in Sidelobes. - Luyen V. Tong; Kha M. Kha; Cuong V. Nguyen; Trung L. Nguyen; Giang B. V. Truong (J. Commun., 2022)

Simple Transferability Estimation for Regression Tasks. - Cuong N. Nguyen; Phong Tran; Lam Si Tung Ho; Vu C. Dinh; Anh T. Tran; Tal Hassner; Cuong V. Nguyen (UAI, 2023)

Understanding and Mitigating Mental Health Misinformation on Video Sharing Platforms. - Viet Cuong Nguyen; Michael L. Birnbaum; Munmun De Choudhury (CoRR, 2023)

EnSolver: Uncertainty-Aware CAPTCHA Solver Using Deep Ensembles. - Duc C. Hoang; Cuong V. Nguyen; Amin Kharraz (CoRR, 2023)

MELEP: A Novel Predictive Measure of Transferability in Multi-Label ECG Analysis. - Cuong V. Nguyen; Hieu Minh Duong; Cuong D. Do (CoRR, 2023)

Explainable Severity ranking via pairwise n-hidden comparison: a case study of glaucoma. - Hong Nguyen; Cuong V. Nguyen; Shrikanth Narayanan; Benjamin Y. Xu; Michael Pazzani (CoRR, 2023)

An Efficient Beamformer for Interference Suppression Using Rectangular Antenna Arrays. - Manh Kha Hoang; Luyen V. Tong; Nguyen Viet Cuong (J. Commun., 2023)

Patient Perspectives on AI-Driven Predictions of Schizophrenia Relapses: Understanding Concerns and Opportunities for Self-Care and Treatment. - Dong Whi Yoo; Hayoung Woo; Viet Cuong Nguyen; Michael L. Birnbaum; Kaylee Payne Kruzan; Jennifer G. Kim; Gregory D. Abowd; Munmun De Choudhury (CHI, 2024)

Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient. - Vu C. Dinh; Lam S. Ho; Cuong V. Nguyen (NeurIPS, 2024)

The Matter of Captchas: An Analysis of a Brittle Security Feature on the Modern Web. - Behzad Ousat; Esteban Schafir; Duc C. Hoang; Mohammad Ali Tofighi; Cuong V. Nguyen; Sajjad Arshad; A. Selcuk Uluagac; Amin Kharraz (WWW, 2024)

Hate Speech Detection in Limited Data Contexts Using Synthetic Data Generation. - Aman Khullar; Daniel Nkemelu; Viet Cuong Nguyen; Michael L. Best (ACM J. Comput. Sustain. Soc., 2024)

Transfer Learning in ECG Diagnosis: Is It Effective? - Cuong V. Nguyen; Cuong D. Do (CoRR, 2024)

Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient. - Vu C. Dinh; Lam Si Tung Ho; Cuong V. Nguyen (CoRR, 2024)

MELEP: A Novel Predictive Measure of Transferability in Multi-label ECG Diagnosis. - Cuong V. Nguyen; Hieu Minh Duong; Cuong D. Do (J. Heal. Informatics Res., 2024)

Supporters and Skeptics: LLM-Based Analysis of Engagement with Mental Health (Mis)Information Content on Video-Sharing Platforms. - Viet Cuong Nguyen; Mini Jain; Abhijat Chauhan; Heather Jaime Soled; Santiago Alvarez Lesmes; Zihang Li; Michael L. Birnbaum; Sunny X. Tang; Srijan Kumar; Munmun De Choudhury (ICWSM, 2025)

Do Large Language Models Align with Core Mental Health Counseling Competencies? - Viet Cuong Nguyen; Mohammad Taher; Dongwan Hong; Vinicius Konkolics Possobom; Vibha Thirunellayi Gopalakrishnan; Ekta Raj; Zihang Li; Heather J. Soled; Michael L. Birnbaum; Srijan Kumar; Munmun De Choudhury (NAACL (Findings), 2025)

Sequence Transferability and Task Order Selection in Continual Learning. - Thinh Nguyen; Cuong N. Nguyen; Quang Pham; Binh T. Nguyen 001; Savitha Ramasamy; Xiaoli Li 001; Cuong V. Nguyen (CoRR, 2025)

PTB-Image: A Scanned Paper ECG Dataset for Digitization and Image-based Diagnosis. - Cuong V. Nguyen; Hieu X. Nguyen; Dung D. Pham Minh; Cuong D. Do (CoRR, 2025)

Fake advertisements detection using automated multimodal learning: a case study for Vietnamese real estate data. - Duy Nguyen; Trung T. Nguyen; Cuong V. Nguyen (Appl. Intell., 2025)