Viet Cuong Nguyen

According to our database, Viet Cuong Nguyen authored at least 49 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Transfer Learning in ECG Diagnosis: Is It Effective?

Cuong V. Nguyen, Cuong D. Do

CoRR, 2024

2023

An Efficient Beamformer for Interference Suppression Using Rectangular Antenna Arrays.

Manh Kha Hoang, Luyen V. Tong, Nguyen Viet Cuong

J. Commun., February, 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

MELEP: A Novel Predictive Measure of Transferability in Multi-Label ECG Analysis.

Cuong V. Nguyen, Hieu Minh Duong, Cuong D. Do

CoRR, 2023

Hate Speech Detection in Limited Data Contexts using Synthetic Data Generation.

Aman Khullar, Daniel Nkemelu, Cuong V. Nguyen, Michael L. Best

CoRR, 2023

EnSolver: Uncertainty-Aware CAPTCHA Solver Using Deep Ensembles.

Duc C. Hoang, Cuong V. Nguyen, Amin Kharraz

CoRR, 2023

Understanding and Mitigating Mental Health Misinformation on Video Sharing Platforms.

Viet Cuong Nguyen, Michael L. Birnbaum, Munmun De Choudhury

CoRR, 2023

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

Proceedings of the Uncertainty in Artificial Intelligence, 2023

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

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

Inf. Sci., 2022

Bayesian active learning with abstention feedbacks.

Cuong V. Nguyen, Lam Si Tung Ho, Huan Xu, Vu C. Dinh, Binh T. Nguyen

Neurocomputing, 2022

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

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

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

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

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

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

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

CoRR, 2021

A Novel Approach for Enhancing Vietnamese Sentiment Classification.

Cuong V. Nguyen, Khiem H. Le, Binh T. Nguyen

Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021

Multimodal Machine Learning for Credit Modeling.

Cuong V. Nguyen, Sanjiv R. Das, John He, Shenghua Yue, Vinay Hanumaiah, Xavier Ragot, Li Zhang

Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

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

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

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

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

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

An Efficient Framework for Vietnamese Sentiment Classification.

Cuong V. Nguyen, Khiem H. Le, Anh M. Tran, Binh T. Nguyen

Proceedings of the Knowledge Innovation Through Intelligent Software Methodologies, Tools and Techniques, 2020

LEEP: A New Measure to Evaluate Transferability of Learned Representations.

Cuong V. Nguyen, Tal Hassner, Matthias W. Seeger, Cédric Archambeau

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Accelerated Randomized Mirror Descent Algorithms for Composite Non-strongly Convex Optimization.

Le Thi Khanh Hien, Cuong V. Nguyen, Huan Xu, Canyi Lu, Jiashi Feng

J. Optim. Theory Appl., 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

Toward Understanding Catastrophic Forgetting in Continual Learning.

Cuong V. Nguyen, Alessandro Achille, Michael Lam, Tal Hassner, Vijay Mahadevan, Stefano Soatto

CoRR, 2019

Improving and Understanding Variational Continual Learning.

Siddharth Swaroop, Cuong V. Nguyen, Thang D. Bui, Richard E. Turner

CoRR, 2019

Punctuation Prediction for Vietnamese Texts Using Conditional Random Fields.

Quang Hong Pham, Binh T. Nguyen, Nguyen Viet Cuong

Proceedings of the Tenth International Symposium on Information and Communication Technology, 2019

Transferability and Hardness of Supervised Classification Tasks.

Anh Tuan Tran, Cuong V. Nguyen, Tal Hassner

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

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

Variational Continual Learning.

Cuong V. Nguyen, Yingzhen Li, Thang D. Bui, Richard E. Turner

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Streaming Sparse Gaussian Process Approximations.

Thang D. Bui, Cuong V. Nguyen, Richard E. Turner

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Maximize Pointwise Cost-sensitively Submodular Functions With Budget Constraint.

Nguyen Viet Cuong, Huan Xu

CoRR, 2016

Robustness of Bayesian Pool-Based Active Learning Against Prior Misspecification.

Nguyen Viet Cuong, Nan Ye, Wee Sun Lee

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

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

Proceedings of the Theory and Applications of Models of Computation, 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

Proceedings of the 15th ACM/IEEE-CE Joint Conference on Digital Libraries, 2015

Semi-supervised Learning for Vietnamese Named Entity Recognition using Online Conditional Random Fields.

Quang Hong Pham, Minh Le Nguyen, Binh T. Nguyen, Nguyen Viet Cuong

Proceedings of the Fifth Named Entity Workshop, 2015

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

Near-optimal Adaptive Pool-based Active Learning with General Loss.

Nguyen Viet Cuong, Wee Sun Lee, Nan Ye

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

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

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Generalization and Robustness of Batched Weighted Average Algorithm with V-Geometrically Ergodic Markov Data.

Viet Cuong Nguyen, Lam Si Tung Ho, Vu C. Dinh

Proceedings of the Algorithmic Learning Theory - 24th International Conference, 2013

2012

Mel-frequency Cepstral Coefficients for Eye Movement Identification.

Viet Cuong Nguyen, Vu C. Dinh, Lam Si Tung Ho

Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

2011

Learning to Generate a Table-of-Contents with Supportive Knowledge.

Viet Cuong Nguyen, Minh Le Nguyen, Akira Shimazu

IEICE Trans. Inf. Syst., 2011

Improving Text Segmentation with Non-systematic Semantic Relation.

Viet Cuong Nguyen, Minh Le Nguyen, Akira Shimazu

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2011

2009

A Semi-supervised Approach for Generating a Table-of-Contents.

Viet Cuong Nguyen, Le Minh Nguyen, Akira Shimazu

Proceedings of the Recent Advances in Natural Language Processing, 2009