Shiming Ge
18 papers · 2017–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (52) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint
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Prolific Year · Productive
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Unstoppable · Bronze
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Century Club · Bronze
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Research topics
Machine Learning
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Deep Learning
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Core Methods
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Learning Types · Machine Learning
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Computer Vision
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Application Areas
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Artificial Intelligence
(5)
Learning Types · Deep Learning
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Analysis
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Learning Paradigms
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Optimization & Theory
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Processing
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Data Science & Analytics
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Applications
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Keywords
knowledge distillation
(4)
representation learning
(3)
image classification
(2)
convolutional neural network
(2)
label noise
(2)
distribution matching
(2)
noisy label
(2)
synthetic data
(2)
dataset condensation
(2)
bilevel optimization
(2)
few-shot learning
(1)
multimodal learning
(1)
multi-label classification
(1)
face recognition
(1)
data augmentation
(1)
metric learning
(1)
deepfake detection
(1)
knowledge transfer
(1)
catastrophic forgetting
(1)
adversarial training
(1)
Papers
CD^2: Constrained Dataset Distillation for Few-Shot Class-Incremental Learning
IJCAI 2025
Coupled Confusion Correction: Learning from Crowds with Sparse Annotations
AAAI 2024
DANCE: Dual-View Distribution Alignment for Dataset Condensation
IJCAI 2024
Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation
ECCV 2024
Learning Natural Consistency Representation for Face Forgery Video Detection
ECCV 2024
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
AAAI 2024
Masked Face Recognition with Generative-to-Discriminative Representations
ICML 2024
Bootstrapping Multi-View Representations for Fake News Detection
AAAI 2023
Model Conversion via Differentially Private Data-Free Distillation
IJCAI 2023
Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning
NeurIPS 2022
Robust Weight Perturbation for Adversarial Training
IJCAI 2022
Selective-Supervised Contrastive Learning With Noisy Labels
CVPR 2022
Detecting Deepfake Videos with Temporal Dropout 3DCNN
IJCAI 2021
Accurate Temporal Action Proposal Generation with Relation-Aware Pyramid Network
AAAI 2020
Coupled-View Deep Classifier Learning from Multiple Noisy Annotators
AAAI 2020
Look One and More: Distilling Hybrid Order Relational Knowledge for Cross-Resolution Image Recognition
AAAI 2020
Ultrafast Video Attention Prediction with Coupled Knowledge Distillation
AAAI 2020
Detecting Masked Faces in the Wild With LLE-CNNs
CVPR 2017