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ORCIDViet Cuong Nguyen
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- affiliation: University of Cambridge, UK
- affiliation: National University of Singapore, Department of Computer Science
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2020 – today
- 2024
[j16]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): 506-522 (2024)- [c22]Dong Whi Yoo, Hayoung Woo, Viet Cuong Nguyen, Michael L. Birnbaum, Kaylee Payne Kruzan, Jennifer G. Kim, Gregory D. Abowd, Munmun De Choudhury:
Patient Perspectives on AI-Driven Predictions of Schizophrenia Relapses: Understanding Concerns and Opportunities for Self-Care and Treatment. CHI 2024: 702:1-702:20 - [c21]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: 1835-1846 - [i23]Cuong V. Nguyen, Cuong D. Do:
Transfer Learning in ECG Diagnosis: Is It Effective? CoRR abs/2402.02021 (2024) - [i22]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:
Supporters and Skeptics: LLM-based Analysis of Engagement with Mental Health (Mis)Information Content on Video-sharing Platforms. CoRR abs/2407.02662 (2024) - 2023
- [j15]Manh Kha Hoang, Luyen V. Tong, Nguyen Viet Cuong:
An Efficient Beamformer for Interference Suppression Using Rectangular Antenna Arrays. J. Commun. 18(2): 116-122 (2023) - [c20]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: 1510-1521 - [i21]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 abs/2303.09115 (2023) - [i20]Viet Cuong Nguyen, Michael L. Birnbaum, Munmun De Choudhury:
Understanding and Mitigating Mental Health Misinformation on Video Sharing Platforms. CoRR abs/2304.07417 (2023) - [i19]Duc C. Hoang, Cuong V. Nguyen, Amin Kharraz:
EnSolver: Uncertainty-Aware CAPTCHA Solver Using Deep Ensembles. CoRR abs/2307.15180 (2023) - [i18]Aman Khullar, Daniel Nkemelu, Cuong V. Nguyen, Michael L. Best:
Hate Speech Detection in Limited Data Contexts using Synthetic Data Generation. CoRR abs/2310.02876 (2023) - [i17]Cuong V. Nguyen, Hieu Minh Duong, Cuong D. Do:
MELEP: A Novel Predictive Measure of Transferability in Multi-Label ECG Analysis. CoRR abs/2311.04224 (2023) - [i16]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 abs/2312.00656 (2023) - [i15]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 abs/2312.02541 (2023) - 2022
- [j14]Cuong V. Nguyen, Lam Si Tung Ho, Huan Xu, Vu C. Dinh, Binh T. Nguyen:
Bayesian active learning with abstention feedbacks. Neurocomputing 471: 242-250 (2022) - [j13]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: 1-14 (2022) - [j12]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): 600-607 (2022) - [c19]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. ISITA 2022: 139-143 - [i14]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 abs/2202.12275 (2022) - [i13]Cuong V. Nguyen, Daniel Nkemelu, Ankit Mehta, Michael L. Best:
Why So Inflammatory? Explainability in Automatic Detection of Inflammatory Social Media Users. CoRR abs/2208.09941 (2022) - [i12]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 abs/2209.05709 (2022) - 2021
- [j11]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): e3 (2021) - [j10]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:
Evidence-based recommender system for high-entropy alloys. Nat. Comput. Sci. 1(7): 470-478 (2021) - [j9]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: 5051328:1-5051328:21 (2021) - [c18]Cuong V. Nguyen, Sanjiv R. Das, John He, Shenghua Yue, Vinay Hanumaiah, Xavier Ragot, Li Zhang:
Multimodal Machine Learning for Credit Modeling. COMPSAC 2021: 1754-1759 - [c17]Cuong V. Nguyen, Khiem H. Le, Binh T. Nguyen:
A Novel Approach for Enhancing Vietnamese Sentiment Classification. IEA/AIE (2) 2021: 99-111 - [i11]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 abs/2110.11293 (2021) - 2020
- [j8]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): e8 (2020) - [j7]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): e5 (2020) - [j6]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): e5 (2020) - [j5]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: 8875760:1-8875760:10 (2020) - [c16]Cuong V. Nguyen, Tal Hassner, Matthias W. Seeger, Cédric Archambeau:
LEEP: A New Measure to Evaluate Transferability of Learned Representations. ICML 2020: 7294-7305 - [c15]Cuong V. Nguyen, Khiem H. Le, Anh M. Tran, Binh T. Nguyen:
An Efficient Framework for Vietnamese Sentiment Classification. SoMeT 2020: 343-354 - [i10]Cuong V. Nguyen, Tal Hassner, Cédric Archambeau, Matthias W. Seeger:
LEEP: A New Measure to Evaluate Transferability of Learned Representations. CoRR abs/2002.12462 (2020) - [i9]Duong-Nguyen Nguyen, Tien-Lam Pham, Viet Cuong Nguyen, Hiori Kino, Takashi Miyake, Hieu-Chi Dam:
Ensemble learning reveals dissimilarity between rare-earth transition metal binary alloys with respect to the Curie temperature. CoRR abs/2008.08818 (2020)
2010 – 2019
- 2019
- [j4]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): e5 (2019) - [j3]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): 541-566 (2019) - [c14]Anh Tuan Tran, Cuong V. Nguyen, Tal Hassner:
Transferability and Hardness of Supervised Classification Tasks. ICCV 2019: 1395-1405 - [c13]Quang Hong Pham, Binh T. Nguyen, Nguyen Viet Cuong:
Punctuation Prediction for Vietnamese Texts Using Conditional Random Fields. SoICT 2019: 322-327 - [i8]Siddharth Swaroop, Cuong V. Nguyen, Thang D. Bui, Richard E. Turner:
Improving and Understanding Variational Continual Learning. CoRR abs/1905.02099 (2019) - [i7]Cuong V. Nguyen, Lam Si Tung Ho, Huan Xu, Vu C. Dinh, Binh T. Nguyen:
Bayesian Active Learning With Abstention Feedbacks. CoRR abs/1906.02179 (2019) - [i6]Cuong V. Nguyen, Alessandro Achille, Michael Lam, Tal Hassner, Vijay Mahadevan, Stefano Soatto:
Toward Understanding Catastrophic Forgetting in Continual Learning. CoRR abs/1908.01091 (2019) - [i5]Anh Tuan Tran, Cuong V. Nguyen, Tal Hassner:
Transferability and Hardness of Supervised Classification Tasks. CoRR abs/1908.08142 (2019) - 2018
- [c12]Cuong V. Nguyen, Yingzhen Li, Thang D. Bui, Richard E. Turner:
Variational Continual Learning. ICLR (Poster) 2018 - [i4]Thang D. Bui, Cuong V. Nguyen, Siddharth Swaroop, Richard E. Turner:
Partitioned Variational Inference: A unified framework encompassing federated and continual learning. CoRR abs/1811.11206 (2018) - 2017
- [c11]Thang D. Bui, Cuong V. Nguyen, Richard E. Turner:
Streaming Sparse Gaussian Process Approximations. NIPS 2017: 3299-3307 - [i3]Cuong V. Nguyen, Yingzhen Li, Thang D. Bui, Richard E. Turner:
Variational Continual Learning. CoRR abs/1710.10628 (2017) - 2016
- [c10]Nguyen Viet Cuong, Nan Ye, Wee Sun Lee:
Robustness of Bayesian Pool-Based Active Learning Against Prior Misspecification. AAAI 2016: 1512-1518 - [i2]Nguyen Viet Cuong, Huan Xu:
Maximize Pointwise Cost-sensitively Submodular Functions With Budget Constraint. CoRR abs/1603.09029 (2016) - [i1]Nguyen Viet Cuong, Nan Ye, Wee Sun Lee:
Robustness of Bayesian Pool-based Active Learning Against Prior Misspecification. CoRR abs/1603.09050 (2016) - 2015
- [c9]Quang Hong Pham, Minh Le Nguyen, Binh T. Nguyen, Nguyen Viet Cuong:
Semi-supervised Learning for Vietnamese Named Entity Recognition using Online Conditional Random Fields. NEWS@ACL 2015: 50-55 - [c8]Nguyen Viet Cuong, Muthu Kumar Chandrasekaran, Min-Yen Kan, Wee Sun Lee:
Scholarly Document Information Extraction using Extensible Features for Efficient Higher Order Semi-CRFs. JCDL 2015: 61-64 - [c7]Vu C. Dinh, Lam Si Tung Ho, Viet Cuong Nguyen, Duy M. H. Nguyen, Binh T. Nguyen:
Learning from Non-iid Data: Fast Rates for the One-vs-All Multiclass Plug-in Classifiers. TAMC 2015: 375-387 - 2014
- [j2]Viet Cuong Nguyen, Nan Ye, Wee Sun Lee, Hai Leong Chieu:
Conditional random field with high-order dependencies for sequence labeling and segmentation. J. Mach. Learn. Res. 15(1): 981-1009 (2014) - [c6]Nguyen Viet Cuong, Wee Sun Lee, Nan Ye:
Near-optimal Adaptive Pool-based Active Learning with General Loss. UAI 2014: 122-131 - 2013
- [c5]Viet Cuong Nguyen, Lam Si Tung Ho, Vu C. Dinh:
Generalization and Robustness of Batched Weighted Average Algorithm with V-Geometrically Ergodic Markov Data. ALT 2013: 264-278 - [c4]Viet Cuong Nguyen, Wee Sun Lee, Nan Ye, Kian Ming Adam Chai, Hai Leong Chieu:
Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion. NIPS 2013: 1457-1465 - 2012
- [c3]Viet Cuong Nguyen, Vu C. Dinh, Lam Si Tung Ho:
Mel-frequency Cepstral Coefficients for Eye Movement Identification. ICTAI 2012: 253-260 - 2011
- [j1]Viet Cuong Nguyen, Minh Le Nguyen, Akira Shimazu:
Learning to Generate a Table-of-Contents with Supportive Knowledge. IEICE Trans. Inf. Syst. 94-D(3): 423-431 (2011) - [c2]Viet Cuong Nguyen, Minh Le Nguyen, Akira Shimazu:
Improving Text Segmentation with Non-systematic Semantic Relation. CICLing (1) 2011: 304-315
2000 – 2009
- 2009
- [c1]Viet Cuong Nguyen, Le Minh Nguyen, Akira Shimazu:
A Semi-supervised Approach for Generating a Table-of-Contents. RANLP 2009: 312-317
Coauthor Index
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