Hao Zhu - RankMe

36 papers A* 15A 2Misc 1Journal 15Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Exploiting Class-agnostic Visual Prior for Few-shot Keypoint Detection. Int. J. Comput. Vis. Changsheng Lu, Hao Zhu, Piotr Koniusz
2025	A*	`conf`	BiLoRA: Almost-Orthogonal Parameter Spaces for Continual Learning. CVPR Hao Zhu, Yifei Zhang, Junhao Dong, Piotr Koniusz
2025	A*	`conf`	Graph Self-Supervised Learning with Learnable Structural and Positional Encodings. WWW Asiri Wijesinghe, Hao Zhu, Piotr Koniusz
2025	J	`jnl`	Graph Self-Supervised Learning with Learnable Structural and Positional Encodings. CoRR Asiri Wijesinghe, Hao Zhu, Piotr Koniusz
2025	A*	`conf`	Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices. ICML Junhao Dong, Piotr Koniusz, Yifei Zhang, Hao Zhu, Weiming Liu, Xinghua Qu, Yew-Soon Ong
2025	A	`conf`	Protein Fitness Landscape: Spectral Graph Theory Perspective. AISTATS Hao Zhu, Daniel M. Steinberg, Piotr Koniusz
2025	—	`conf`	Understanding and Mitigating Hyperbolic Dimensional Collapse in Graph Contrastive Learning. KDD (1) Yifei Zhang, Hao Zhu, Menglin Yang, Jiahong Liu, Rex Ying, Irwin King, Piotr Koniusz
2025	A*	`conf`	pFedMxF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation. CVPR Yifei Zhang, Hao Zhu, Alysa Ziying Tan, Dianzhi Yu, Longtao Huang, Han Yu
2024	A*	`conf`	Geometric View of Soft Decorrelation in Self-Supervised Learning. KDD Yifei Zhang, Hao Zhu, Zixing Song, Yankai Chen, Xinyu Fu, Ziqiao Meng, Piotr Koniusz, Irwin King
2024	J	`jnl`	Less is More: Extreme Gradient Boost Rank-1 Adaption for Efficient Finetuning of LLMs. CoRR Yifei Zhang, Hao Zhu, Aiwei Liu, Han Yu, Piotr Koniusz, Irwin King
2023	J	`jnl`	Alignment and Outer Shell Isotropy for Hyperbolic Graph Contrastive Learning. CoRR Yifei Zhang, Hao Zhu, Jiahong Liu, Piotr Koniusz, Irwin King
2023	J	`jnl`	From Saliency to DINO: Saliency-guided Vision Transformer for Few-shot Keypoint Detection. CoRR Changsheng Lu, Hao Zhu, Piotr Koniusz
2023	A*	`conf`	Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective. NeurIPS Yifei Zhang, Hao Zhu, Yankai Chen, Zixing Song, Piotr Koniusz, Irwin King
2023	A*	`conf`	Spectral Feature Augmentation for Graph Contrastive Learning and Beyond. AAAI Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King
2023	A*	`conf`	Transductive Few-Shot Learning with Prototype-Based Label Propagation by Iterative Graph Refinement. CVPR Hao Zhu, Piotr Koniusz
2023	J	`jnl`	Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph Refinement. CoRR Hao Zhu, Piotr Koniusz
2022	A*	`conf`	COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning. KDD Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King
2022	J	`jnl`	COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning. CoRR Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King
2022	J	`jnl`	Contrastive Laplacian Eigenmaps. CoRR Hao Zhu, Ke Sun, Piotr Koniusz
2022	A*	`conf`	EASE: Unsupervised Discriminant Subspace Learning for Transductive Few-Shot Learning. CVPR Hao Zhu, Piotr Koniusz
2022	A*	`conf`	Generalized Laplacian Eigenmaps. NeurIPS Hao Zhu, Piotr Koniusz
2022	A*	`conf`	Graph-adaptive Rectified Linear Unit for Graph Neural Networks. WWW Yifei Zhang, Hao Zhu, Ziqiao Meng, Piotr Koniusz, Irwin King
2022	J	`jnl`	Graph-adaptive Rectified Linear Unit for Graph Neural Networks. CoRR Yifei Zhang, Hao Zhu, Ziqiao Meng, Piotr Koniusz, Irwin King
2022	J	`jnl`	Spectral Feature Augmentation for Graph Contrastive Learning and Beyond. CoRR Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King
2021	A*	`conf`	Contrastive Laplacian Eigenmaps. NeurIPS Hao Zhu, Ke Sun, Peter Koniusz
2021	A*	`conf`	EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph. ICDE Yuxiang Ren, Hao Zhu, Jiawei Zhang, Peng Dai, Liefeng Bo
2021	J	`jnl`	Graph Convolutional Network with Generalized Factorized Bilinear Aggregation. CoRR Hao Zhu, Piotr Koniusz
2021	A	`conf`	REFINE: Random RangE FInder for Network Embedding. CIKM Hao Zhu, Piotr Koniusz
2021	J	`jnl`	REFINE: Random RangE FInder for Network Embedding. CoRR Hao Zhu, Piotr Koniusz
2021	A*	`conf`	Simple Spectral Graph Convolution. ICLR Hao Zhu, Piotr Koniusz
2020	J	`jnl`	Additively Homomorphical Encryption based Deep Neural Network for Asymmetrically Collaborative Machine Learning. CoRR Yifei Zhang, Hao Zhu
2020	Misc	`conf`	Discrete Wasserstein Autoencoders for Document Retrieval. ICASSP Yifei Zhang, Hao Zhu
2020	—	`conf`	Imbalance Robust Softmax for Deep Embeeding Learning. ACCV (5) Hao Zhu, Yang Yuan, Guosheng Hu, Xiang Wu, Neil Martin Robertson
2020	J	`jnl`	Imbalance Robust Softmax for Deep Embeeding Learning. CoRR Hao Zhu, Yang Yuan, Guosheng Hu, Xiang Wu, Neil Martin Robertson
2019	—	`conf`	Doc2hash: Learning Discrete Latent variables for Documents Retrieval. NAACL-HLT (1) Yifei Zhang, Hao Zhu
2019	J	`jnl`	EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph. CoRR Yuxiang Ren, Hao Zhu, Jiawei Zhang, Peng Dai, Liefeng Bo