Cuong V. Nguyen

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 37

Top Topics

Unmanned Aerial Vehicles

Transfer Learning

Sentiment Classification

Variational Inference

Top Venues

EAI Endorsed Trans. Ind. Networks Intell. Syst.

Wirel. Commun. Mob. Comput.

J. Optim. Theory Appl.

Publications

Cuong V. Nguyen, Cuong D. Do
Transfer Learning in ECG Diagnosis: Is It Effective? CoRR (2024)
Cuong V. Nguyen, Hieu Minh Duong, Cuong D. Do
MELEP: A Novel Predictive Measure of Transferability in Multi-label ECG Diagnosis. J. Heal. Informatics Res. 8 (3) (2024)
Behzad Ousat, Esteban Schafir, Duc C. Hoang, Mohammad Ali Tofighi, Cuong V. Nguyen, Sajjad Arshad, A. Selcuk Uluagac, Amin Kharraz
The Matter of Captchas: An Analysis of a Brittle Security Feature on the Modern Web. WWW (2024)
Aman Khullar, Daniel Nkemelu, Cuong V. Nguyen, Michael L. Best
Hate Speech Detection in Limited Data Contexts using Synthetic Data Generation. CoRR (2023)
Hong Nguyen, Cuong V. Nguyen, Shrikanth Narayanan, Benjamin Y. Xu, Michael Pazzani
Explainable Severity ranking via pairwise n-hidden comparison: a case study of glaucoma. CoRR (2023)
Cuong V. Nguyen, Hieu Minh Duong, Cuong D. Do
MELEP: A Novel Predictive Measure of Transferability in Multi-Label ECG Analysis. CoRR (2023)
Cuong N. Nguyen, Phong Tran, Lam Si Tung Ho, Vu C. Dinh, Anh T. Tran, Tal Hassner, Cuong V. Nguyen
Simple Transferability Estimation for Regression Tasks. UAI (2023)
Duc C. Hoang, Cuong V. Nguyen, Amin Kharraz
EnSolver: Uncertainty-Aware CAPTCHA Solver Using Deep Ensembles. CoRR (2023)
Cuong V. Nguyen, Khiem H. Le, Anh M. Tran, Quang Hong Pham, Binh T. Nguyen
Learning for Amalgamation: A Multi-Source Transfer Learning Framework For Sentiment Classification. CoRR (2023)
Cuong N. Nguyen, Phong Tran, Lam Si Tung Ho, Vu C. Dinh, Anh T. Tran, Tal Hassner, Cuong V. Nguyen
Simple Transferability Estimation for Regression Tasks. CoRR (2023)
Cuong N. Nguyen, Lam Si Tung Ho, Vu C. Dinh, Tal Hassner, Cuong V. Nguyen
Generalization Bounds for Deep Transfer Learning Using Majority Predictor Accuracy. CoRR (2022)
Cuong V. Nguyen, Lam Si Tung Ho, Huan Xu, Vu C. Dinh, Binh T. Nguyen
Bayesian active learning with abstention feedbacks. Neurocomputing 471 (2022)
Luyen V. Tong, Kha M. Kha, Cuong V. Nguyen, Trung L. Nguyen, Giang B. V. Truong
Null-Steering Beamformers for Suppressing Unknown Direction Interferences in Sidelobes. J. Commun. 17 (8) (2022)
Matthew Ashman, Thang D. Bui, Cuong V. Nguyen, Efstratios Markou, Adrian Weller, Siddharth Swaroop, Richard E. Turner
Partitioned Variational Inference: A Framework for Probabilistic Federated Learning. CoRR (2022)
Cuong V. Nguyen, Khiem H. Le, Anh M. Tran, Quang Hong Pham, Binh T. Nguyen
Learning for amalgamation: A multi-source transfer learning framework for sentiment classification. Inf. Sci. 590 (2022)
Hai T. Do, Hoang T. Hua, Minh Tuan Nguyen, Cuong V. Nguyen, Hoa Tt. Nguyen, Hoa T. Nguyen, Nga T. Nguyen
Formation Control Algorithms for Multiple-UAVs: A Comprehensive Survey. EAI Endorsed Trans. Ind. Networks Intell. Syst. 8 (27) (2021)
Cuong V. Nguyen, Tien-Dung Cao, Tram Truong-Huu, Khanh N. Pham, Binh T. Nguyen
An Empirical Study on GANs with Margin Cosine Loss and Relativistic Discriminator. CoRR (2021)
Hoa Tt. Nguyen, Minh Tuan Nguyen, Hai T. Do, Hoang T. Hua, Cuong V. Nguyen
DRL-Based Intelligent Resource Allocation for Diverse QoS in 5G and toward 6G Vehicular Networks: A Comprehensive Survey. Wirel. Commun. Mob. Comput. 2021 (2021)
Cuong V. Nguyen, Khiem H. Le, Binh T. Nguyen
A Novel Approach for Enhancing Vietnamese Sentiment Classification. IEA/AIE (2) (2021)
Cuong V. Nguyen, Sanjiv R. Das, John He, Shenghua Yue, Vinay Hanumaiah, Xavier Ragot, Li Zhang
Multimodal Machine Learning for Credit Modeling. COMPSAC (2021)
Cuong V. Nguyen, Khiem H. Le, Anh M. Tran, Binh T. Nguyen
An Efficient Framework for Vietnamese Sentiment Classification. SoMeT (2020)
Hoa T. Nguyen, Toan V. Quyen, Cuong V. Nguyen, Anh M. Le, Hoa T. Tran, Minh Tuan Nguyen
Control Algorithms for UAVs: A Comprehensive Survey. EAI Endorsed Trans. Ind. Networks Intell. Syst. 7 (23) (2020)
Cuong V. Nguyen, Minh Tuan Nguyen, Toan V. Quyen, Anh M. Le, Linh H. Truong
The Hybrid Solar-RF Energy for Base Transceiver Stations. Wirel. Commun. Mob. Comput. 2020 (2020)
Toan V. Quyen, Cuong V. Nguyen, Anh M. Le, Minh Tuan Nguyen
Optimizing Hybrid Energy Harvesting Mechanisms for UAVs. EAI Endorsed Trans. Energy Web 7 (30) (2020)
Anh M. Le, Linh H. Truong, Toan V. Quyen, Cuong V. Nguyen, Minh Tuan Nguyen
Wireless Power Transfer Near-field Technologies for Unmanned Aerial Vehicles (UAVs): A Review. EAI Endorsed Trans. Ind. Networks Intell. Syst. 7 (22) (2020)
Cuong V. Nguyen, Tal Hassner, Cédric Archambeau, Matthias W. Seeger
LEEP: A New Measure to Evaluate Transferability of Learned Representations. CoRR (2020)
Le Thi Khanh Hien, Cuong V. Nguyen, Huan Xu, Canyi Lu, Jiashi Feng
Accelerated Randomized Mirror Descent Algorithms for Composite Non-strongly Convex Optimization. J. Optim. Theory Appl. 181 (2) (2019)
Siddharth Swaroop, Cuong V. Nguyen, Thang D. Bui, Richard E. Turner
Improving and Understanding Variational Continual Learning. CoRR (2019)
Cuong V. Nguyen, Alessandro Achille, Michael Lam, Tal Hassner, Vijay Mahadevan, Stefano Soatto
Toward Understanding Catastrophic Forgetting in Continual Learning. CoRR (2019)
Minh Tuan Nguyen, Hien M. Nguyen, Antonino Masaracchia, Cuong V. Nguyen
Stochastic-Based Power Consumption Analysis for Data Transmission in Wireless Sensor Networks. EAI Endorsed Trans. Ind. Networks Intell. Syst. 6 (19) (2019)
Cuong V. Nguyen, Lam Si Tung Ho, Huan Xu, Vu C. Dinh, Binh Nguyen
Bayesian Active Learning With Abstention Feedbacks. CoRR (2019)
Anh Tuan Tran, Cuong V. Nguyen, Tal Hassner
Transferability and Hardness of Supervised Classification Tasks. ICCV (2019)
Anh Tuan Tran, Cuong V. Nguyen, Tal Hassner
Transferability and Hardness of Supervised Classification Tasks. CoRR (2019)
Cuong V. Nguyen, Yingzhen Li, Thang D. Bui, Richard E. Turner
Variational Continual Learning. ICLR (Poster) (2018)
Thang D. Bui, Cuong V. Nguyen, Siddharth Swaroop, Richard E. Turner
Partitioned Variational Inference: A unified framework encompassing federated and continual learning. CoRR (2018)
Cuong V. Nguyen, Yingzhen Li, Thang D. Bui, Richard E. Turner
Variational Continual Learning. CoRR (2017)
Thang D. Bui, Cuong V. Nguyen, Richard E. Turner
Streaming Sparse Gaussian Process Approximations. NIPS (2017)