Fuzzy feature weighting techniques for vector quantisation. - Dat Tran 001; Wanli Ma; Dharmendra Sharma 001; Phuoc Nguyen (FUZZ-IEEE, 2010)

Fuzzy support vector machines for age and gender classification. - Phuoc Nguyen; Trung Le 001; Dat Tran 001; Xu Huang 001; Dharmendra Sharma 001 (INTERSPEECH, 2010)

Automatic Speech-Based Classification of Gender, Age and Accent. - Phuoc Nguyen; Dat Tran 001; Xu Huang 001; Dharmendra Sharma 001 (PKAW, 2010)

Australian Accent-Based Speaker Classification. - Phuoc Nguyen; Dat Tran 001; Xu Huang 001; Dharmendra Sharma 001 (WKDD, 2010)

Enhancing Performance of SVM-Based Brain-Computer Interface Systems. - Tuan Hoang; Phuoc Nguyen; Trung Le 001; Dat Tran 001; Dharmendra Sharma 001 (Aust. J. Intell. Inf. Process. Syst., 2010)

Multi-Sphere Support Vector Clustering. - Trung Le 001; Dat Tran 001; Phuoc Nguyen; Wanli Ma; Dharmendra Sharma 001 (ICONIP (2), 2011)

Multiple distribution data description learning method for novelty detection. - Trung Le 001; Dat Tran 001; Phuoc Nguyen; Wanli Ma; Dharmendra Sharma 001 (IJCNN, 2011)

EEG-Based User Authentication in Multilevel Security Systems. - Tien Pham; Wanli Ma; Dat Tran 001; Phuoc Nguyen; Dinh Q. Phung (ADMA (2), 2013)

EEG-Based Age and Gender Recognition Using Tensor Decomposition and Speech Features. - Phuoc Nguyen; Dat Tran 001; Tan Vo; Xu Huang 001; Wanli Ma; Dinh Q. Phung (ICONIP (2), 2013)

A Study on the Feasibility of Using EEG Signals for Authentication Purpose. - Tien Pham; Wanli Ma; Dat Tran 001; Phuoc Nguyen; Dinh Q. Phung (ICONIP (2), 2013)

Parallel Support Vector Data Description. - Phuoc Nguyen; Dat Tran 001; Xu Huang 001; Wanli Ma (IWANN (1), 2013)

Motor Imagery EEG-Based Person Verification. - Phuoc Nguyen; Dat Tran 001; Xu Huang 001; Wanli Ma (IWANN (2), 2013)

EEG-Based Person Verification Using Multi-Sphere SVDD and UBM. - Phuoc Nguyen; Dat Tran 001; Trung Le 001; Xu Huang 001; Wanli Ma (PAKDD (1), 2013)

Proximity multi-sphere support vector clustering. - Trung Le 001; Dat Tran 001; Phuoc Nguyen; Wanli Ma; Dharmendra Sharma 001 (Neural Comput. Appl., 2013)

Using Shannon Entropy as EEG Signal Feature for Fast Person Identification. - Dinh Q. Phung; Dat Tran 001; Wanli Ma; Phuoc Nguyen; Tien Pham (ESANN, 2014)

A Novel Sphere-Based Maximum Margin Classification Method. - Phuoc Nguyen; Dat Tran 001; Xu Huang 001; Wanli Ma (ICPR, 2014)

Multi-factor EEG-based user authentication. - Tien Pham; Wanli Ma; Dat Tran 001; Phuoc Nguyen; Dinh Q. Phung (IJCNN, 2014)

Investigating the impacts of epilepsy on EEG-based person identification systems. - Dinh Q. Phung; Dat Tran 001; Wanli Ma; Phuoc Nguyen; Tien Pham (IJCNN, 2014)

EEG-Based User Authentication Using Artifacts. - Tien Pham; Wanli Ma; Dat Tran 001; Phuoc Nguyen; Dinh Q. Phung (SOCO-CISIS-ICEUTE, 2014)

Repulsive-SVDD Classification. - Phuoc Nguyen; Dat Tran 001 (PAKDD (1), 2015)

Deepr: A Convolutional Net for Medical Records. - Phuoc Nguyen; Truyen Tran 001; Nilmini Wickramasinghe; Svetha Venkatesh (CoRR, 2016)

Challenges issues for OCC based android camera 2 API. - Phuoc Nguyen; Nam Tuan Le; Yeong Min Jang (ICUFN, 2017)

Deep Learning to Attend to Risk in ICU. - Phuoc Nguyen; Truyen Tran 001; Svetha Venkatesh (KDH@IJCAI, 2017)

Finding Algebraic Structure of Care in Time: A Deep Learning Approach. - Phuoc Nguyen; Truyen Tran 001; Svetha Venkatesh (CoRR, 2017)

Intelligent Device Discovery in the Internet of Things - Enabling the Robot Society. - James Sunthonlap; Phuoc Nguyen; Zilong Ye (CoRR, 2017)

Deepr: A Convolutional Net for Medical Records. - Phuoc Nguyen; Truyen Tran 001; Nilmini Wickramasinghe; Svetha Venkatesh (IEEE J. Biomed. Health Informatics, 2017)

SAND: A Social-Aware and Distributed Scheme for Device Discovery in the Internet of Things. - James Sunthonlap; Phuoc Nguyen; Hao Wang 016; Mohammad Pourhomanyoun; Yuqing Zhu 002; Zilong Ye (ICNC, 2018)

Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records. - Phuoc Nguyen; Truyen Tran 001; Svetha Venkatesh (IJCNN, 2018)

Hybrid Generative-Discriminative Models for Inverse Materials Design. - Phuoc Nguyen; Truyen Tran 001; Sunil Gupta 001; Santu Rana; Svetha Venkatesh (CoRR, 2018)

Measuring English Readability for Vietnamese Speakers. - Phuoc Nguyen; Alexandra L. Uitdenbogerd (ALTA, 2019)

vUBM: A Variational Universal Background Model for EEG-Based Person Authentication. - Huyen Tran; Dat Tran 001; Wanli Ma; Phuoc Nguyen (ICONIP (4), 2019)

EEG-Based Person Authentication with Variational Universal Background Model. - Huyen Tran; Dat Tran 001; Wanli Ma; Phuoc Nguyen (NSS, 2019)

Incomplete Conditional Density Estimation for Fast Materials Discovery. - Phuoc Nguyen; Truyen Tran 001; Sunil Gupta 001; Santu Rana; Matthew Barnett; Svetha Venkatesh (SDM, 2019)

Closing the Wearable Gap - Part II: Sensor Orientation and Placement for Foot and Ankle Joint Kinematic Measurements. - David Saucier; Tony Luczak; Phuoc Nguyen; Samaneh Davarzani; Preston Peranich; John E. Ball; Reuben F. Burch V.; Brian K. Smith; Harish Chander; Adam Knight; R. K. Prabhu (Sensors, 2019)

Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning. - Dung Nguyen 001; Svetha Venkatesh; Phuoc Nguyen; Truyen Tran 001 (ACML, 2020)

Unsupervised Anomaly Detection on Temporal Multiway Data. - Duc Nguyen; Phuoc Nguyen; Kien Do; Santu Rana; Sunil Gupta 001; Truyen Tran 001 (SSCI, 2020)

HyperVAE: A Minimum Description Length Variational Hyper-Encoding Network. - Phuoc Nguyen; Truyen Tran 001; Sunil Gupta 001; Santu Rana; Hieu-Chi Dam; Svetha Venkatesh (CoRR, 2020)

Knowledge Distillation with Distribution Mismatch. - Dang Nguyen 002; Sunil Gupta 001; Trong Nguyen; Santu Rana; Phuoc Nguyen; Truyen Tran 001; Ky Le; Shannon Ryan; Svetha Venkatesh (ECML/PKDD (2), 2021)

Variational Hyper-encoding Networks. - Phuoc Nguyen; Truyen Tran 001; Sunil Gupta 001; Santu Rana; Hieu-Chi Dam; Svetha Venkatesh (ECML/PKDD (2), 2021)

Fast Conditional Network Compression Using Bayesian HyperNetworks. - Phuoc Nguyen; Truyen Tran 001; Ky Le; Sunil Gupta 001; Santu Rana; Dang Nguyen 002; Trong Nguyen; Shannon Ryan; Svetha Venkatesh (ECML/PKDD (3), 2021)

Learning Theory of Mind via Dynamic Traits Attribution. - Dung Nguyen 001; Phuoc Nguyen; Hung Le 002; Kien Do; Svetha Venkatesh; Truyen Tran 001 (AAMAS, 2022)

Learning to Transfer Role Assignment Across Team Sizes. - Dung Nguyen 001; Phuoc Nguyen; Svetha Venkatesh; Truyen Tran 001 (AAMAS, 2022)

Memory-Augmented Theory of Mind Network. - Dung Nguyen 001; Phuoc Nguyen; Hung Le 002; Kien Do; Svetha Venkatesh; Truyen Tran 001 (AAAI, 2023)

Differentiable Bayesian Structure Learning with Acyclicity Assurance. - Quang-Duy Tran; Phuoc Nguyen; Bao Duong; Thin Nguyen (ICDM, 2023)

Root Cause Explanation of Outliers under Noisy Mechanisms. - Phuoc Nguyen; Truyen Tran 001; Sunil Gupta 001; Thin Nguyen; Svetha Venkatesh (AAAI, 2024)

Evaluating Text Summaries Generated by Large Language Models Using OpenAI's GPT. - Hassan Shakil; Atqiya Munawara Mahi; Phuoc Nguyen; Zeydy Ortiz; Jugal Kalita; Mamoun T. Mardini (ICMLA, 2024)

Robust Estimation of Causal Heteroscedastic Noise Models. - Quang-Duy Tran; Bao Duong; Phuoc Nguyen; Thin Nguyen (SDM, 2024)

Evaluating Text Summaries Generated by Large Language Models Using OpenAI's GPT. - Hassan Shakil; Atqiya Munawara Mahi; Phuoc Nguyen; Zeydy Ortiz; Mamoun T. Mardini (CoRR, 2024)

Constraining acyclicity of differentiable Bayesian structure learning with topological ordering. - Quang-Duy Tran; Phuoc Nguyen; Bao Duong; Thin Nguyen (Knowl. Inf. Syst., 2024)

REACT: Real-time Efficient Attribute Clustering and Transfer for Updatable 3D Scene Graph. - Phuoc Nguyen; Francesco Verdoja; Ville Kyrki (CoRR, 2025)

Identifying Causal Direction via Variational Bayesian Compression. - Quang-Duy Tran; Bao Duong; Phuoc Nguyen; Thin Nguyen (CoRR, 2025)