Shan You
39 papers · 2016–2026 · 8 conferences · across top CS/AI conferences
Achievements
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Taxonomy Completionist
(60)
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Dynamic Duo
(29)
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(10)
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The Questioner
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Century Club
(38)
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Prolific Year
(11)
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(131)
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Unstoppable
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Conferences
NIPS (9)
CVPR (8)
AAAI (5)
ICCV (4)
ICLR (4)
ICML (4)
ECCV (3)
IJCAI (2)
Top co-authors
Keywords
model compression
(11)
neural architecture search
(9)
representation learning
(6)
semi-supervised learning
(4)
convolutional neural network
(4)
image classification
(4)
neural network optimization
(4)
self-supervised learning
(4)
knowledge distillation
(4)
channel pruning
(3)
one-shot learning
(3)
architecture optimization
(3)
contrastive learning
(3)
supernet training
(3)
consistency regularization
(2)
differentiable search
(2)
semantic segmentation
(2)
efficient computing
(2)
privileged information
(2)
network architecture
(2)
Papers
Injection Without Distortion: Geometrically Constrained Knowledge Enhancement for Vision-Language Models
AAAI 2026
Learning Mask Invariant Mutual Information for Masked Image Modeling
ICLR 2025
Adversarial Robustness via Deformable Convolution with Stochasticity
ICML 2025
Stable Fair Graph Representation Learning with Lipschitz Constraint
ICML 2025
Active Generation for Image Classification
ECCV 2024
Detecting Any instruction-to-answer interaction relationship:Universal Instruction-to-Answer Navigator for Med-VQA
ICML 2024
Masked Distillation with Receptive Tokens
ICLR 2023
Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations
AAAI 2023
SimMatchV2: Semi-Supervised Learning with Graph Consistency
ICCV 2023
Re-mine, Learn and Reason: Exploring the Cross-modal Semantic Correlations for Language-guided HOI detection
ICCV 2023
Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models
NIPS 2023
Knowledge Diffusion for Distillation
NIPS 2023
Neural Architecture Search for Wide Spectrum Adversarial Robustness
AAAI 2023
GreedyNASv2: Greedier Search With a Greedy Path Filter
CVPR 2022
Green Hierarchical Vision Transformer for Masked Image Modeling
NIPS 2022
Searching for Better Spatio-temporal Alignment in Few-Shot Action Recognition
NIPS 2022
Knowledge Distillation from A Stronger Teacher
NIPS 2022
SimMatch: Semi-Supervised Learning With Similarity Matching
CVPR 2022
DyRep: Bootstrapping Training With Dynamic Re-Parameterization
CVPR 2022
Learning Where To Learn in Cross-View Self-Supervised Learning
CVPR 2022
ScaleNet: Searching for the Model to Scale
ECCV 2022
ViTAS: Vision Transformer Architecture Search
ECCV 2022
Relational Surrogate Loss Learning
ICLR 2022
Taylor, Can You Hear Me Now? A Taylor-Unfolding Framework for Monaural Speech Enhancement
IJCAI 2022
Learning With Privileged Tasks
ICCV 2021
Weakly Supervised Contrastive Learning
ICCV 2021
Prioritized Architecture Sampling With Monto-Carlo Tree Search
CVPR 2021
Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search
CVPR 2021
Locally Free Weight Sharing for Network Width Search
ICLR 2021
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets
ICML 2021
ReSSL: Relational Self-Supervised Learning with Weak Augmentation
NIPS 2021
BCNet: Searching for Network Width With Bilaterally Coupled Network
CVPR 2021
GreedyNAS: Towards Fast One-Shot NAS With Greedy Supernet
CVPR 2020
Learning Student Networks with Few Data
AAAI 2020
Reborn Filters: Pruning Convolutional Neural Networks with Limited Data
AAAI 2020
Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space
NIPS 2020
ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding
NIPS 2020
Privileged Multi-label Learning
IJCAI 2017
CNNpack: Packing Convolutional Neural Networks in the Frequency Domain
NIPS 2016