Haofei Zhang
17 papers · 2021–2026 · 7 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (34) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Topic Evolution
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Dynamic Duo
(16)
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Prolific Year · Productive
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Unstoppable · Bronze
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Century Club · Bronze
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Keyword Collector
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Research topics
Deep Learning
(10)
Machine Learning
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Artificial Intelligence
(9)
Core AI · Artificial Intelligence
(9)
Computer Vision
(6)
Architectures
(4)
Core Methods
(4)
Application Areas
(3)
Learning Types · Deep Learning
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Learning Types · Machine Learning
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Models
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Robotics
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Analysis
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Capabilities
(2)
Core AI · Computer Vision
(2)
Keywords
vision transformer
(4)
model compression
(3)
image classification
(2)
interpretable machine learning
(2)
diffusion model
(2)
knowledge distillation
(2)
convolutional neural network
(2)
uav navigation
(2)
explainable ai
(2)
graph matching
(1)
semi-supervised learning
(1)
prototype learning
(1)
embedding space
(1)
transfer learning
(1)
zero-shot learning
(1)
efficient inference
(1)
data-free learning
(1)
image generation
(1)
loss landscape
(1)
monocular depth estimation
(1)
Papers
Beyond Matching to Tiles: Bridging Unaligned Aerial and Satellite Views for Vision-Only UAV Navigation
CVPR 2026
D3-RSMDE: 40× Faster and High-Fidelity Remote Sensing Monocular Depth Estimation
AAAI 2026
Rethinking Token Reduction for Large Vision-Language Models
CVPR 2026
Semi-supervised Latent Disentangled Diffusion Model for Textile Pattern Generation
AAAI 2026
Dataset Ownership Verification in Contrastive Pre-trained Models
ICLR 2025
Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios
AAAI 2024
LG-CAV: Train Any Concept Activation Vector with Language Guidance
NeurIPS 2024
On the Concept Trustworthiness in Concept Bottleneck Models
AAAI 2024
On the Evaluation Consistency of Attribution-based Explanations
ECCV 2024
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition
IJCAI 2024
Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks
ICCV 2023
Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation
CVPR 2023
Schema Inference for Interpretable Image Classification
ICLR 2023
Bootstrapping ViTs: Towards Liberating Vision Transformers From Pre-Training
CVPR 2022
Meta-Attention for ViT-Backed Continual Learning
CVPR 2022
Up to 100x Faster Data-Free Knowledge Distillation
AAAI 2022
Tree-Like Decision Distillation
CVPR 2021