Hao Zhu
97 papers · 2017–2026 · 15 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 18 separate collaboration groups - the largest holds only 44% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Hao Zhu?
10 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Piotr Koniusz, Yifei Zhang, Junhao Dong
13 papers
· 2019–2026
· CVPR, NeurIPS, ICML
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Hierarchically Robust Zero-shot Vision-language Models
CVPR 2026
BiLoRA: Almost-Orthogonal Parameter Spaces for Continual Learning
CVPR 2025
Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices
ICML 2025
Protein Fitness Landscape: Spectral Graph Theory Perspective
AISTATS 2025
Robustifying Zero-Shot Vision Language Models by Subspaces Alignment
ICCV 2025
pFedMxF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation
CVPR 2025
Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective
NeurIPS 2023
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond
AAAI 2023
Transductive Few-Shot Learning With Prototype-Based Label Propagation by Iterative Graph Refinement
CVPR 2023
EASE: Unsupervised Discriminant Subspace Learning for Transductive Few-Shot Learning
CVPR 2022
Generalized Laplacian Eigenmaps
NeurIPS 2022
Simple Spectral Graph Convolution
ICLR 2021
Doc2hash: Learning Discrete Latent variables for Documents Retrieval
NAACL 2019
8 papers whose co-authors appear nowhere else under this name
Hierarchical Direction Perception via Atomic Dot-Product Operators for Rotation-Invariant Point Clouds Learning
AAAI 2026
Perplexity-Aware Data Scaling Law: Perplexity Landscapes Predict Performance for Continual Pre-training
ACL 2026
Smoothing the Landscape: Causal Structure Learning via Diffusion Denoising Objectives
CLeaR 2026
Beyond Random Masking: When Dropout meets Graph Convolutional Networks
ICLR 2025
From 2D CAD Drawings to 3D Parametric Models: A Vision-Language Approach
AAAI 2025
Contrastive Laplacian Eigenmaps
NeurIPS 2021
CrowdPose: Efficient Crowded Scenes Pose Estimation and a New Benchmark
CVPR 2019
Neural Finite-State Transducers: Beyond Rational Relations
NAACL 2019