Hao Zhu

Affiliations:
  • Australian National University, College of Engineering and Computer Science, Canberra, Australia
  • Data61/CSIRO, Canberra, Australia


According to our database1, Hao Zhu authored at least 19 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2023
VividTalk: One-Shot Audio-Driven Talking Head Generation Based on 3D Hybrid Prior.
CoRR, 2023

Alignment and Outer Shell Isotropy for Hyperbolic Graph Contrastive Learning.
CoRR, 2023

From Saliency to DINO: Saliency-guided Vision Transformer for Few-shot Keypoint Detection.
CoRR, 2023

Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Transductive Few-Shot Learning with Prototype-Based Label Propagation by Iterative Graph Refinement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Spectral Feature Augmentation for Graph Contrastive Learning and Beyond.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Graph-adaptive Rectified Linear Unit for Graph Neural Networks.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Generalized Laplacian Eigenmaps.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

EASE: Unsupervised Discriminant Subspace Learning for Transductive Few-Shot Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Graph Convolutional Network with Generalized Factorized Bilinear Aggregation.
CoRR, 2021

Contrastive Laplacian Eigenmaps.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Simple Spectral Graph Convolution.
Proceedings of the 9th International Conference on Learning Representations, 2021

EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

REFINE: Random RangE FInder for Network Embedding.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Additively Homomorphical Encryption based Deep Neural Network for Asymmetrically Collaborative Machine Learning.
CoRR, 2020

Discrete Wasserstein Autoencoders for Document Retrieval.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Imbalance Robust Softmax for Deep Embeeding Learning.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Doc2hash: Learning Discrete Latent variables for Documents Retrieval.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019


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