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Multi-Label Image Classification with Contrastive Learning


Jul 24, 2021
Son D. Dao, Ethan Zhao, Dinh Phung, Jianfei Cai


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Improved and Efficient Text Adversarial Attacks using Target Information


May 02, 2021
Mahmoud Hossam, Trung Le, He Zhao, Viet Huynh, Dinh Phung

* Accepted in the International Conference on Learning Representations (ICLR) workshop on Robust and Reliable Machine Learning in the Real World (RobustML) 

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Text Generation with Deep Variational GAN


Apr 27, 2021
Mahmoud Hossam, Trung Le, Michael Papasimeon, Viet Huynh, Dinh Phung

* Accepted in the Third Workshop on Bayesian Deep Learning (NIPS / NeurIPS 2018) 

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Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link Prediction


Apr 15, 2021
Dai Quoc Nguyen, Vinh Tong, Dinh Phung, Dat Quoc Nguyen


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Topic Modelling Meets Deep Neural Networks: A Survey


Feb 28, 2021
He Zhao, Dinh Phung, Viet Huynh, Yuan Jin, Lan Du, Wray Buntine

* A review on Neural Topic Models 

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BoMb-OT: On Batch of Mini-batches Optimal Transport


Feb 11, 2021
Khai Nguyen, Quoc Nguyen, Nhat Ho, Tung Pham, Hung Bui, Dinh Phung, Trung Le

* 36 pages, 18 figures 

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Understanding and Achieving Efficient Robustness with Adversarial Contrastive Learning


Jan 25, 2021
Anh Bui, Trung Le, He Zhao, Paul Montague, Seyit Camtepe, Dinh Phung


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Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering


Nov 05, 2020
Quan Tran, Nhan Dam, Tuan Lai, Franck Dernoncourt, Trung Le, Nham Le, Dinh Phung

* Accepted to COLING 2020 

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Explain2Attack: Text Adversarial Attacks via Cross-Domain Interpretability


Oct 21, 2020
Mahmoud Hossam, Trung Le, He Zhao, Dinh Phung

* Preprint for accepted paper at 25th International Conference on Pattern Recognition (ICPR 2020) 

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Transfer2Attack: Text Adversarial Attacks via Cross-Domain Interpretability


Oct 19, 2020
Mahmoud Hossam, Trung Le, He Zhao, Dinh Phung

* Preprint for accepted paper at 25th International Conference on Pattern Recognition (ICPR 2020) 

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Towards Understanding Pixel Vulnerability under Adversarial Attacks for Images


Oct 13, 2020
He Zhao, Trung Le, Paul Montague, Olivier De Vel, Tamas Abraham, Dinh Phung


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Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models


Oct 05, 2020
Thuy-Trang Vu, Dinh Phung, Gholamreza Haffari

* EMNLP2020 

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QuatRE: Relation-Aware Quaternions for Knowledge Graph Embeddings


Sep 26, 2020
Dai Quoc Nguyen, Thanh Vu, Tu Dinh Nguyen, Dinh Phung


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Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness


Sep 21, 2020
Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier deVel, Tamas Abraham, Dinh Phung


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Neural Sinkhorn Topic Model


Aug 12, 2020
He Zhao, Dinh Phung, Viet Huynh, Trung Le, Wray Buntine


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Quaternion Graph Neural Networks


Aug 12, 2020
Dai Quoc Nguyen, Tu Dinh Nguyen, Dinh Phung


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MED-TEX: Transferring and Explaining Knowledge with Less Data from Pretrained Medical Imaging Models


Aug 06, 2020
Thanh Nguyen-Duc, He Zhao, Jianfei Cai, Dinh Phung


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Improving Adversarial Robustness by Enforcing Local and Global Compactness


Jul 10, 2020
Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier deVel, Tamas Abraham, Dinh Phung

* Proceeding of the European Conference on Computer Vision (ECCV) 2020 

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A Self-Attention Network based Node Embedding Model


Jun 22, 2020
Dai Quoc Nguyen, Tu Dinh Nguyen, Dinh Phung

* Accepted version, ECML-PKDD 2020 

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OptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation


May 22, 2020
Mahmoud Hossam, Trung Le, Viet Huynh, Michael Papasimeon, Dinh Phung

* Preprint for accepted conference paper at International Joint Conference on Neural Networks (IJCNN) 2020 

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A Capsule Network-based Model for Learning Node Embeddings


Nov 12, 2019
Dai Quoc Nguyen, Tu Dinh Nguyen, Dat Quoc Nguyen, Dinh Phung


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On Scalable Variant of Wasserstein Barycenter


Oct 10, 2019
Tam Le, Viet Huynh, Nhat Ho, Dinh Phung, Makoto Yamada

* Tam Le, Viet Huynh, and Nhat Ho contributed equally to this work 

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Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions


Oct 03, 2019
He Zhao, Trung Le, Paul Montague, Olivier De Vel, Tamas Abraham, Dinh Phung


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Unsupervised Universal Self-Attention Network for Graph Classification


Sep 26, 2019
Dai Quoc Nguyen, Tu Dinh Nguyen, Dinh Phung


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Relational Memory-based Knowledge Graph Embedding


Jul 13, 2019
Dai Quoc Nguyen, Tu Dinh Nguyen, Dinh Phung


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When Can Neural Networks Learn Connected Decision Regions?


Jan 25, 2019
Trung Le, Dinh Phung


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Theoretical Perspective of Deep Domain Adaptation


Nov 15, 2018
Trung Le, Khanh Nguyen, Dinh Phung


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