Shan You

Orcid: 0000-0003-1964-0430

According to our database1, Shan You authored at least 73 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Weak Augmentation Guided Relational Self-Supervised Learning.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

MetaDD: Boosting Dataset Distillation with Neural Network Architecture-Invariant Generalization.
CoRR, 2024

Training-free Long Video Generation with Chain of Diffusion Model Experts.
CoRR, 2024

LocalMamba: Visual State Space Model with Windowed Selective Scan.
CoRR, 2024

Image Anomaly Detection Based on Controllable Self-Augmentation.
Proceedings of the International Joint Conference on Neural Networks, 2024

Detecting Any instruction-to-answer interaction relationship: Universal Instruction-to-Answer Navigator for Med-VQA.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

TCNAS: Transformer Architecture Evolving in Code Clone Detection.
Proceedings of the IEEE International Conference on Acoustics, 2024

Beyond the Limit of Weight-Sharing: Pioneering Space-Evolving NAS with Large Language Models.
Proceedings of the IEEE International Conference on Acoustics, 2024

Active Generation for Image Classification.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Searching for Network Width With Bilaterally Coupled Network.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Not All Steps are Equal: Efficient Generation with Progressive Diffusion Models.
CoRR, 2023

Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models.
CoRR, 2023

CoNe: Contrast Your Neighbours for Supervised Image Classification.
CoRR, 2023

Can GPT-4 Perform Neural Architecture Search?
CoRR, 2023

Knowledge Diffusion for Distillation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Masked Distillation with Receptive Tokens.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

DiffNAS: Bootstrapping Diffusion Models by Prompting for Better Architectures.
Proceedings of the IEEE International Conference on Data Mining, 2023

SimMatchV2: Semi-Supervised Learning with Graph Consistency.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Re-mine, Learn and Reason: Exploring the Cross-modal Semantic Correlations for Language-guided HOI detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Neural Architecture Search for Wide Spectrum Adversarial Robustness.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Quantum Differentially Private Sparse Regression Learning.
IEEE Trans. Inf. Theory, 2022

Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations.
CoRR, 2022

LightViT: Towards Light-Weight Convolution-Free Vision Transformers.
CoRR, 2022

Relational Self-Supervised Learning.
CoRR, 2022

Searching for Better Spatio-temporal Alignment in Few-Shot Action Recognition.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Knowledge Distillation from A Stronger Teacher.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Green Hierarchical Vision Transformer for Masked Image Modeling.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sufficient Vision Transformer.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Taylor, Can You Hear Me Now? A Taylor-Unfolding Framework for Monaural Speech Enhancement.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Relational Surrogate Loss Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Data Agnostic Filter Gating For Efficient Deep Networks.
Proceedings of the IEEE International Conference on Acoustics, 2022

ScaleNet: Searching for the Model to Scale.
Proceedings of the Computer Vision - ECCV 2022, 2022

ViTAS: Vision Transformer Architecture Search.
Proceedings of the Computer Vision - ECCV 2022, 2022

SimMatch: Semi-supervised Learning with Similarity Matching.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning Where to Learn in Cross-View Self-Supervised Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DyRep: Bootstrapping Training with Dynamic Re-parameterization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

GreedyNASv2: Greedier Search with a Greedy Path Filter.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Vision Transformer Architecture Search.
CoRR, 2021

A Virtual Optical Holographic Encryption System Using Expanded Diffie-Hellman Algorithm.
IEEE Access, 2021

ReSSL: Relational Self-Supervised Learning with Weak Augmentation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Workshop on Model Mining.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets.
Proceedings of the 38th International Conference on Machine Learning, 2021

Locally Free Weight Sharing for Network Width Search.
Proceedings of the 9th International Conference on Learning Representations, 2021

Weakly Supervised Contrastive Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning with Privileged Tasks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

BCNet: Searching for Network Width With Bilaterally Coupled Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Prioritized Architecture Sampling With Monto-Carlo Tree Search.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Explicitly Learning Topology for Differentiable Neural Architecture Search.
CoRR, 2020

Data Agnostic Filter Gating for Efficient Deep Networks.
CoRR, 2020

Quantum circuit architecture search: error mitigation and trainability enhancement for variational quantum solvers.
CoRR, 2020

ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

GreedyNAS: Towards Fast One-Shot NAS With Greedy Supernet.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Reborn Filters: Pruning Convolutional Neural Networks with Limited Data.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Learning Student Networks with Few Data.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Bringing Giant Neural Networks Down to Earth with Unlabeled Data.
CoRR, 2019

Reinforced Molecule Generation with Heterogeneous States.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

The Seventh Visual Object Tracking VOT2019 Challenge Results.
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Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
Online Dictionary Learning with Confidence.
Proceedings of the IEEE International Conference on Data Mining, 2018

Learning With Single-Teacher Multi-Student.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
DCT Regularized Extreme Visual Recovery.
IEEE Trans. Image Process., 2017

Learning from Multiple Teacher Networks.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Privileged Multi-label Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Fast Compressive Phase Retrieval under Bounded Noise.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
DCT Inspired Feature Transform for Image Retrieval and Reconstruction.
IEEE Trans. Image Process., 2016

Local Coverage Optimization Strategy Based on Voronoi for Directional Sensor Networks.
Sensors, 2016

Streaming Label Learning for Modeling Labels on the Fly.
CoRR, 2016

Parts for the Whole: The DCT Norm for Extreme Visual Recovery.
CoRR, 2016

CNNpack: Packing Convolutional Neural Networks in the Frequency Domain.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Coverage Improvement Strategy Based on Voronoi for Directional Sensor Networks.
Proceedings of the Machine Learning and Intelligent Communications, 2016


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