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Graph convolutional networks for drug response prediction

T. Nguyen, G. Nguyen, T. Nguyen, D. Le

2021 / IEEE/ACM Transactions on Computational Biology and Bioinformatics

Goal-driven Long-Term Trajectory Prediction

H. Tran, V. Le, T. Tran

2021 / pp. 796 - 805 / Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision

High Dimensional Level Set Estimation with Bayesian Neural Network

H. Ha, S. Gupta, S. Rana, S. Venkatesh

2021 / pp. To appear / Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence

Sparse Spectrum Gaussian Process for Bayesian Optimization

A. Yang, C. Li, S. Rana, S. Gupta, S. Venkatesh

2021 / pp. To appear / Proceedings of the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021)

Distributional Reinforcement Learning via Moment Matching

T. T. Nguyen, S. Gupta, S. Venkatesh

2021 / pp. accepted on 02/10/2020 / The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI)

Genomic mutations and changes in protein secondary structure and solvent accessibility of SARS-CoV-2 (COVID-19) virus

T. T. Nguyen, P. N. Pathirana, T. Nguyen, H. Nguyen, A. Bhatti, D. C. Nguyen, D. T. Nguyen, N. D. Nguyen, D. Creighton, M. Abdelrazek

2021 / Scientific Reports

Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization

K. Do, T. Tran, S. Venkatesh

2021 / The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI)

GEFA: early fusion approach in drug-target affinity prediction

T. M. Nguyen, T. Nguyen, T. M. Le, T. Tran

2021 / IEEE/ACM Transactions on Computational Biology and Bioinformatics

Clustering by Maximizing Mutual Information Across Views

K. Do, T. Tran, S. Venkatesh

2021

Knowledge distillation with distribution mismatch

D. Nguyen, S. Gupta, T. Nguyen, S. Sana, P. Nguyen, T. Tran, K. Le, S. Ryan, S. Venkatesh

2021 / European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECML-PKDD)

Fast conditional network compression using Bayesian HyperNetworks

P. Nguyen, T. Tran, K. Le, S. Gupta, S. Sana, D. Nguyen, T. Nguyen, S. Ryan, S. Venkatesh

2021 / European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECML-PKDD)

Variational hyper-encoding networks

P. Nguyen, T. Tran, S. Gupta, S. Rana, H. K. Dam, S. Venkatesh

2021 / European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECML-PKDD)

Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering

L. H. Dang, T. M. Le, V. Le, T. Tran

2021

Object-Centric Representation Learning for Video Question Answering

L. H. Dang, T. M. Le, V. Le, T. Tran

2021 / Ijcnn

Learning Asynchronous and Sparse Human-Object Interaction in Videos

R. Morais, V. Le, S. Venkatesh, T. Tran

2021 / pp. 16041 - 16050 / Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

PAN: Personalized Annotation-based Networks for the Prediction of Breast Cancer Relapse

T. Nguyen, S. C. Lee, T. P. Quinn, B. Truong, X. Li, T. Tran, S. Venkatesh, T. M. Le

2021 / IEEE/ACM Transactions on Computational Biology and Bioinformatics

A Spatio-temporal Attention-based Model for Infant Movement Assessment from Videos

B. Nguyen-Thai, V. Le, C. Morgan, N. Badawi, T. Tran, S. Venkatesh

2021 / IEEE journal of biomedical and health informatics