Q. Hoang

发表

Predicting Movie Genres Based on Plot Summaries pdf

Quan Hoang, Q. Hoang, 2018, ArXiv.

Harvestman: a framework for hierarchical feature learning and selection from whole genome sequencing data

Christopher James Langmead, Guillaume Marçais, Carl Kingsford, 2020, bioRxiv.

MGAN: Training Generative Adversarial Nets with Multiple Generators

Trung Le, Tu Dinh Nguyen, Dinh Q. Phung, 2018, ICLR.

A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data

Kian Hsiang Low, Quang Minh Hoang, Trong Nghia Hoang, 2015, ICML.

Learning Generative Adversarial Networks from Multiple Data Sources

Trung Le, Tu Dinh Nguyen, Dinh Q. Phung, 2019, IJCAI.

Three-Player Wasserstein GAN via Amortised Duality

Nhan Dam, Trung Le, Tu Dinh Nguyen, 2019, IJCAI.

Parameterized Rate-Distortion Stochastic Encoder

Trung Le, Dinh Q. Phung, Dinh Phung, 2020, ICML.

Multi-Generator Generative Adversarial Nets pdf

Trung Le, Tu Dinh Nguyen, Dinh Q. Phung, 2017, ArXiv.

Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes pdf

David P. Woodruff, Hai Pham, Quang Minh Hoang, 2020, NeurIPS.

A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression

Kian Hsiang Low, Quang Minh Hoang, Trong Nghia Hoang, 2016, AAAI.

Decentralized High-Dimensional Bayesian Optimization with Factor Graphs pdf

Kian Hsiang Low, Quang Minh Hoang, Trong Nghia Hoang, 2017, AAAI.

A Distributed Variational Inference Framework for Unifying Parallel Sparse Gaussian Process Regression Models

Kian Hsiang Low, Quang Minh Hoang, Trong Nghia Hoang, 2016, ICML.

Collective Model Fusion for Multiple Black-Box Experts

Kian Hsiang Low, Carl Kingsford, Quang Minh Hoang, 2019, ICML.

A Framework to Provide Personalization in Learning Management Systems through a Recommender System Approach

Kinshuk, Quang Hoang, Sabine Graf, 2014, ACIIDS.