Dinh Phung

8 papers in the IJCAI proceedings

IJCAI 2021

Optimal Transport for Deep Generative Models: State of the Art and Research Challenges

with Viet Huynh, He Zhao

doi:10.24963/ijcai.2021/607

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TIDOT: A Teacher Imitation Learning Approach for Domain Adaptation with Optimal Transport

with Tuan Nguyen, Trung Le, Nhan Dam, Quan Hung Tran, Truyen Nguyen

doi:10.24963/ijcai.2021/394

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Topic Modelling Meets Deep Neural Networks: A Survey

with He Zhao, Viet Huynh, Yuan Jin, Lan Du, Wray Buntine

doi:10.24963/ijcai.2021/638

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IJCAI 2019

Learning Generative Adversarial Networks from Multiple Data Sources

with Trung Le, Quan Hoang, Hung Vu, Tu Dinh Nguyen, Hung Bui

doi:10.24963/ijcai.2019/391

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Three-Player Wasserstein GAN via Amortised Duality

with Nhan Dam, Quan Hoang, Trung Le, Tu Dinh Nguyen, Hung Bui

doi:10.24963/ijcai.2019/305

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IJCAI 2018

Geometric Enclosing Networks

with Trung Le, Hung Vu, Tu Dinh Nguyen

doi:10.24963/ijcai.2018/326

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IJCAI 2017

Discriminative Bayesian Nonparametric Clustering

with Vu Nguyen, Trung Le, Hung Bui

doi:10.24963/ijcai.2017/355

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Large-scale Online Kernel Learning with Random Feature Reparameterization

with Tu Dinh Nguyen, Trung Le, Hung Bui

doi:10.24963/ijcai.2017/354

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Future Conferences

AI Journal Division

IJCAI Proceedings