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Neural Attention-Aware Hierarchical Topic Model


Oct 14, 2021
Yuan Jin, He Zhao, Ming Liu, Lan Du, Wray Buntine


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Review of Video Predictive Understanding: Early Action Recognition and Future Action Prediction


Jul 16, 2021
He Zhao, Richard P. Wildes


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Review of Video Predictive Understanding: Early ActionRecognition and Future Action Prediction


Jul 11, 2021
He Zhao, Richard P. Wildes


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Interpretable Deep Feature Propagation for Early Action Recognition


Jul 11, 2021
He Zhao, Richard P. Wildes


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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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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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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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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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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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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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SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression


Jul 20, 2020
Jinming Zhao, Ming Liu, Longxiang Gao, Yuan Jin, Lan Du, He Zhao, He Zhang, Gholamreza Haffari

* accepted to SIGIR 2020 

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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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Leveraging Cross Feedback of User and Item Embeddings for Variational Autoencoder based Collaborative Filtering


Feb 21, 2020
Yuan Jin, He Zhao, Ming Liu, Lan Du, Yunfeng Li, Ruohua Xu, Longxiang Gao


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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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daBNN: A Super Fast Inference Framework for Binary Neural Networks on ARM devices


Aug 16, 2019
Jianhao Zhang, Yingwei Pan, Ting Yao, He Zhao, Tao Mei

* Accepted by 2019 ACMMM Open Source Software Competition. Source code: https://github.com/JDAI-CV/dabnn 

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Variational Autoencoders for Sparse and Overdispersed Discrete Data


May 24, 2019
He Zhao, Piyush Rai, Lan Du, Wray Buntine, Mingyuan Zhou


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Deep Generative Models for Sparse, High-dimensional, and Overdispersed Discrete Data


May 02, 2019
He Zhao, Piyush Rai, Lan Du, Wray Buntine, Mingyuan Zhou

* Code at https://github.com/ethanhezhao/NBVAE 

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Foreground-aware Pyramid Reconstruction for Alignment-free Occluded Person Re-identification


Apr 11, 2019
Lingxiao He, Yinggang Wang, Wu Liu, Xingyu Liao, He Zhao, Zhenan Sun, Jiashi Feng

* 10 pages, 7 figures 

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Dirichlet belief networks for topic structure learning


Nov 02, 2018
He Zhao, Lan Du, Wray Buntine, Mingyuan Zhou

* accepted in NIPS 2018 

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MetaLDA: a Topic Model that Efficiently Incorporates Meta information


Sep 19, 2017
He Zhao, Lan Du, Wray Buntine, Gang Liu

* To appear in ICDM 2017 

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Leveraging Node Attributes for Incomplete Relational Data


Jun 14, 2017
He Zhao, Lan Du, Wray Buntine

* Appearing in ICML 2017 

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Synthesizing Filamentary Structured Images with GANs


Jun 07, 2017
He Zhao, Huiqi Li, Li Cheng


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