Hao Zhu

According to our database, Hao Zhu authored at least 21 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Less is More: Extreme Gradient Boost Rank-1 Adaption for Efficient Finetuning of LLMs.

Yifei Zhang, Hao Zhu, Aiwei Liu, Han Yu, Piotr Koniusz, Irwin King

CoRR, 2024

Geometric View of Soft Decorrelation in Self-Supervised Learning.

Yifei Zhang, Hao Zhu, Zixing Song, Yankai Chen, Xinyu Fu, Ziqiao Meng, Piotr Koniusz, Irwin King

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

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

Xusen Sun, Longhao Zhang, Hao Zhu, Peng Zhang, Bang Zhang, Xinya Ji, Kangneng Zhou, Daiheng Gao, Liefeng Bo, Xun Cao

CoRR, 2023

Alignment and Outer Shell Isotropy for Hyperbolic Graph Contrastive Learning.

Yifei Zhang, Hao Zhu, Jiahong Liu, Piotr Koniusz, Irwin King

CoRR, 2023

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

Changsheng Lu, Hao Zhu, Piotr Koniusz

CoRR, 2023

Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective.

Yifei Zhang, Hao Zhu, Yankai Chen, Zixing Song, Piotr Koniusz, Irwin King

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.

Hao Zhu, Piotr Koniusz

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Spectral Feature Augmentation for Graph Contrastive Learning and Beyond.

Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Graph-adaptive Rectified Linear Unit for Graph Neural Networks.

Yifei Zhang, Hao Zhu, Ziqiao Meng, Piotr Koniusz, Irwin King

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Generalized Laplacian Eigenmaps.

Hao Zhu, Piotr Koniusz

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.

Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King

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.

Hao Zhu, Piotr Koniusz

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Graph Convolutional Network with Generalized Factorized Bilinear Aggregation.

Hao Zhu, Piotr Koniusz

CoRR, 2021

Contrastive Laplacian Eigenmaps.

Hao Zhu, Ke Sun, Peter Koniusz

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

Simple Spectral Graph Convolution.

Hao Zhu, Piotr Koniusz

Proceedings of the 9th International Conference on Learning Representations, 2021

EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph.

Yuxiang Ren, Hao Zhu, Jiawei Zhang, Peng Dai, Liefeng Bo

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

REFINE: Random RangE FInder for Network Embedding.

Hao Zhu, Piotr Koniusz

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.

Yifei Zhang, Hao Zhu

CoRR, 2020

Discrete Wasserstein Autoencoders for Document Retrieval.

Yifei Zhang, Hao Zhu

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Imbalance Robust Softmax for Deep Embeeding Learning.

Hao Zhu, Yang Yuan, Guosheng Hu, Xiang Wu, Neil Martin Robertson

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.

Yifei Zhang, Hao Zhu

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019