Xin-Shun Xu
11 papers · 2018–2026 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (22) 💎 Century Club · Bronze
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Machine Learning
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Core Methods
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Computer Vision
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Deep Learning
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Learning Types · Machine Learning
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Learning Types · Deep Learning
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Keywords
few-shot learning
(3)
fine-grained classification
(3)
metric learning
(3)
image retrieval
(3)
prototype learning
(2)
discrete optimization
(2)
hash code generation
(2)
domain generalization
(1)
online learning
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similarity search
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deep learning
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feature extraction
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information retrieval
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feature embedding
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deepfake detection
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manifold learning
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class-incremental learning
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privacy preservation
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binary classification
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adversarial learning
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Papers
From Few-way to Many-way: Rethinking Few-shot Fine-grained Image Classification
CVPR 2026
Multi-granularity Interactive Attention Framework for Residual Hierarchical Pronunciation Assessment
AAAI 2026
Attraction Diminishing and Distributing for Few-Shot Class-Incremental Learning
CVPR 2025
Few-Shot Fine-Grained Image Classification with Progressively Feature Refinement and Continuous Relationship Modeling
AAAI 2025
Learning Real Facial Concepts for Independent Deepfake Detection
IJCAI 2025
Characteristics Matching Based Hash Codes Generation for Efficient Fine-grained Image Retrieval
CVPR 2024
Cross-Layer and Cross-Sample Feature Optimization Network for Few-Shot Fine-Grained Image Classification
AAAI 2024
Online Enhanced Semantic Hashing: Towards Effective and Efficient Retrieval for Streaming Multi-Modal Data
AAAI 2022
Proactive Privacy-preserving Learning for Retrieval
AAAI 2021
Deep Recurrent Quantization for Generating Sequential Binary Codes
IJCAI 2019
SDMCH: Supervised Discrete Manifold-Embedded Cross-Modal Hashing
IJCAI 2018