Yunhe Wang

Orcid: 0000-0002-0142-509X

Affiliations:

Noah's Ark Lab, Huawei Technologie, Beijing, China
Peking University, China (PhD 2018)

According to our database¹, Yunhe Wang authored at least 166 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

DiJiang: Efficient Large Language Models through Compact Kernelization.

[BibT_eX]

[DOI]

CoRR, 2024

Distilling Semantic Priors from SAM to Efficient Image Restoration Models.

[BibT_eX]

[DOI]

CoRR, 2024

A robust audio deepfake detection system via multi-view feature.

[BibT_eX]

[DOI]

CoRR, 2024

DenseMamba: State Space Models with Dense Hidden Connection for Efficient Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

SAM-DiffSR: Structure-Modulated Diffusion Model for Image Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey on Transformer Compression.

[BibT_eX]

[DOI]

CoRR, 2024

Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2024

Rethinking Optimization and Architecture for Tiny Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

An Empirical Study of Scaling Law for OCR.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Neural Architecture Search via Proxy Validation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Adversarial Recurrent Time Series Imputation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., April, 2023

Improving Lightweight AdderNet via Distillation From ℓ<sub>2</sub> to ℓ<sub>1</sub>-norm.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

A Survey on Vision Transformer.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2023

PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation.

[BibT_eX]

[DOI]

CoRR, 2023

TinySAM: Pushing the Envelope for Efficient Segment Anything Model.

[BibT_eX]

[DOI]

CoRR, 2023

DECO: Query-Based End-to-End Object Detection with ConvNets.

[BibT_eX]

[DOI]

CoRR, 2023

GenDet: Towards Good Generalizations for AI-Generated Image Detection.

[BibT_eX]

[DOI]

CoRR, 2023

CBQ: Cross-Block Quantization for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

UFineBench: Towards Text-based Person Retrieval with Ultra-fine Granularity.

[BibT_eX]

[DOI]

CoRR, 2023

LightCLIP: Learning Multi-Level Interaction for Lightweight Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Data-Free Distillation of Language Model by Text-to-Text Transfer.

[BibT_eX]

[DOI]

CoRR, 2023

One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation.

[BibT_eX]

[DOI]

CoRR, 2023

PPT: Token Pruning and Pooling for Efficient Vision Transformers.

[BibT_eX]

[DOI]

CoRR, 2023

IFT: Image Fusion Transformer for Ghost-free High Dynamic Range Imaging.

[BibT_eX]

[DOI]

CoRR, 2023

Data Upcycling Knowledge Distillation for Image Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2023

Category Feature Transformer for Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

ParameterNet: Parameters Are All You Need for Large-scale Visual Pretraining of Mobile Networks.

[BibT_eX]

[DOI]

CoRR, 2023

GPT4Image: Can Large Pre-trained Models Help Vision Models on Perception Tasks?

[BibT_eX]

[DOI]

CoRR, 2023

Multiscale Positive-Unlabeled Detection of AI-Generated Texts.

[BibT_eX]

[DOI]

CoRR, 2023

VanillaKD: Revisit the Power of Vanilla Knowledge Distillation from Small Scale to Large Scale.

[BibT_eX]

[DOI]

CoRR, 2023

GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Higher Ranks via Adversarial Weight Pruning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

When Visual Prompt Tuning Meets Source-Free Domain Adaptive Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

VanillaNet: the Power of Minimalism in Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Less is More: Focus Attention for Efficient DETR.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Masked Image Modeling with Local Multi-Scale Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Toward Accurate Post-Training Quantization for Image Super Resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NTIRE 2023 Challenge on Image Denoising: Methods and Results.

[BibT_eX]

[DOI]

Javier Vazquez-Corral

Konstantinos G. Derpanis

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RefSR-NeRF: Towards High Fidelity and Super Resolution View Synthesis.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Network Expansion For Practical Training Acceleration.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

GhostSR: Learning Ghost Features for Efficient Image Super-Resolution.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

Learning Versatile Convolution Filters for Efficient Visual Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Neural architecture tuning with policy adaptation.

[BibT_eX]

[DOI]

Neurocomputing, 2022

GhostNets on Heterogeneous Devices via Cheap Operations.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2022

FastMIM: Expediting Masked Image Modeling Pre-training for Vision.

[BibT_eX]

[DOI]

CoRR, 2022

PyramidTNT: Improved Transformer-in-Transformer Baselines with Pyramid Architecture.

[BibT_eX]

[DOI]

CoRR, 2022

BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons.

[BibT_eX]

[DOI]

Yixing Xu

Xinghao Chen

Yunhe Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GhostNetV2: Enhance Cheap Operation with Long-Range Attention.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Accelerating Sparse Convolution with Column Vector-Wise Sparsity.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Redistribution of Weights and Activations for AdderNet Quantization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Transformer-Based Object Detector with Coarse-Fine Crossing Representations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Random Normalization Aggregation for Adversarial Defense.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Bridge the Gap Between Architecture Spaces via A Cross-Domain Predictor.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Vision GNN: An Image is Worth Graph of Nodes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Federated Learning with Positive and Unlabeled Data.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Spatial-Channel Token Distillation for Vision MLPs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

MaskGroup: Hierarchical Point Grouping and Masking for 3D Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

MTP: Multi-Task Pruning for Efficient Semantic Segmentation Networks.

[BibT_eX]

[DOI]

Xinghao Chen

Yiman Zhang

Yunhe Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

An Image Patch is a Wave: Phase-Aware Vision MLP.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Patch Slimming for Efficient Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Network Amplification with Efficient MACs Allocation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Brain-inspired Multilayer Perceptron with Spiking Neurons.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Searching for Energy-Efficient Hybrid Adder-Convolution Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Hire-MLP: Vision MLP via Hierarchical Rearrangement.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

CMT: Convolutional Neural Networks Meet Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Source-Free Domain Adaptation via Distribution Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Instance-Aware Dynamic Neural Network Quantization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Multimodal Token Fusion for Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Learning Student Networks via Feature Embedding.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Greedy Network Enlarging.

[BibT_eX]

[DOI]

CoRR, 2021

CMT: Convolutional Neural Networks Meet Vision Transformers.

[BibT_eX]

[DOI]

CoRR, 2021

Efficient Vision Transformers via Fine-Grained Manifold Distillation.

[BibT_eX]

[DOI]

CoRR, 2021

Post-Training Quantization for Vision Transformer.

[BibT_eX]

[DOI]

CoRR, 2021

Adder Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Coarse-to-Fine Searching for Efficient Generative Adversarial Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Visual Transformer Pruning.

[BibT_eX]

[DOI]

CoRR, 2021

AdderNet and its Minimalist Hardware Design for Energy-Efficient Artificial Intelligence.

[BibT_eX]

[DOI]

CoRR, 2021

GhostSR: Learning Ghost Features for Efficient Image Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2021

Dynamic Resolution Network.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Frequency Domain Approximation for Binary Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Augmented Shortcuts for Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Adder Attention for Vision Transformer.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Post-Training Quantization for Vision Transformer.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Neural Architecture Dilation for Adversarial Robustness.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Transformer in Transformer.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Handling Long-tailed Feature Distribution in AdderNets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards Stable and Robust AdderNets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

An Empirical Study of Adder Neural Networks for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Winograd Algorithm for AdderNet.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning Frequency-aware Dynamic Network for Efficient Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Data-Free Knowledge Distillation for Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

ReNAS: Relativistic Evaluation of Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Manifold Regularized Dynamic Network Pruning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

AdderSR: Towards Energy Efficient Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Positive-Unlabeled Data Purification in the Wild for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Distilling Object Detectors via Decoupled Features.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Student Networks in the Wild.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Pre-Trained Image Processing Transformer.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Multi-bit Adaptive Distillation for Binary Neural Networks.

[BibT_eX]

[DOI]

Ying Nie

Kai Han

Yunhe Wang

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Adversarial Robustness through Disentangled Representations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

One-shot Graph Neural Architecture Search with Dynamic Search Space.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Survey on Visual Transformer.

[BibT_eX]

[DOI]

CoRR, 2020

Dynamic Feature Pyramid Networks for Object Detection.

[BibT_eX]

[DOI]

CoRR, 2020

VEGA: Towards an End-to-End Configurable AutoML Pipeline.

[BibT_eX]

[DOI]

CoRR, 2020

Adversarially Robust Neural Architectures.

[BibT_eX]

[DOI]

CoRR, 2020

Multi-Task Pruning for Semantic Segmentation Networks.

[BibT_eX]

[DOI]

CoRR, 2020

DC-NAS: Divide-and-Conquer Neural Architecture Search.

[BibT_eX]

[DOI]

Yunhe Wang

Yixing Xu

Dacheng Tao

CoRR, 2020

HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens.

[BibT_eX]

[DOI]

CoRR, 2020

Automatically Searching for U-Net Image Translator Architecture.

[BibT_eX]

[DOI]

Han Shu

Yunhe Wang

CoRR, 2020

Discernible Compressed Images via Deep Perception Consistency.

[BibT_eX]

[DOI]

CoRR, 2020

Widening and Squeezing: Towards Accurate and Efficient QNNs.

[BibT_eX]

[DOI]

CoRR, 2020

Searching for Low-Bit Weights in Quantized Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Kernel Based Progressive Distillation for Adder Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

SCOP: Scientific Control for Reliable Neural Network Pruning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Adapting Neural Architectures Between Domains.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Discernible Image Compression.

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

DropNAS: Grouped Operation Dropout for Differentiable Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Neural Architecture Search in A Proxy Validation Loss Landscape.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Training Binary Neural Networks through Learning with Noisy Supervision.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

CARS: Continuous Evolution for Efficient Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Semi-Supervised Assessor of Neural Architectures.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

GhostNet: More Features From Cheap Operations.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

On Positive-Unlabeled Classification in GAN.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

AdderNet: Do We Really Need Multiplications in Deep Learning?

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Frequency Domain Compact 3D Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Efficient Residual Dense Block Search for Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Distilling Portable Generative Adversarial Networks for Image Translation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Packing Convolutional Neural Networks in the Frequency Domain.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2019

RNAS: Architecture Ranking for Powerful Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Balanced Binary Neural Networks with Gated Residual.

[BibT_eX]

[DOI]

CoRR, 2019

Full-Stack Filters to Build Minimum Viable CNNs.

[BibT_eX]

[DOI]

CoRR, 2019

Positive-Unlabeled Compression on the Cloud.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Instance-wise Sparsity for Accelerating Deep Models.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Attribute Aware Pooling for Pedestrian Attribute Recognition.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Crafting Efficient Neural Graph of Large Entropy.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

LegoNet: Efficient Convolutional Neural Networks with Lego Filters.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Searching for Accurate Binary Neural Architectures.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Co-Evolutionary Compression for Unpaired Image Translation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Data-Free Learning of Student Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Low-resolution Visual Recognition via Deep Feature Distillation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Learning Versatile Filters for Efficient Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Towards Evolutionary Compression.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Autoencoder Inspired Unsupervised Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Adversarial Learning of Portable Student Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

DCT Regularized Extreme Visual Recovery.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

Towards Evolutional Compression.

[BibT_eX]

[DOI]

CoRR, 2017

Privileged Multi-label Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Beyond Filters: Compact Feature Map for Portable Deep Model.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Beyond RPCA: Flattening Complex Noise in the Frequency Domain.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

DCT Inspired Feature Transform for Image Retrieval and Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2016

Streaming Label Learning for Modeling Labels on the Fly.

[BibT_eX]

[DOI]

CoRR, 2016

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

[BibT_eX]

[DOI]

CoRR, 2016

CNNpack: Packing Convolutional Neural Networks in the Frequency Domain.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Yunhe Wang

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