Huan Wang

Orcid: 0000-0001-6951-901X

Affiliations:

Northeastern University, Boston, MA, USA
Zhejiang University, College of Information and Electronic Engineering, Hangzhou, China (former)

According to our database¹, Huan Wang authored at least 38 papers between 2011 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

Global Aligned Structured Sparsity Learning for Efficient Image Super-Resolution.

[BibT_eX]

[DOI]

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

Image as Set of Points.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Momentum is All You Need for Data-Driven Adaptive Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution.

[BibT_eX]

[DOI]

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

Frame Flexible Network.

[BibT_eX]

[DOI]

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

Real-Time Neural Light Field on Mobile Devices.

[BibT_eX]

[DOI]

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

2022

Semi-Supervised Domain Adaptive Structure Learning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

Trainability Preserving Neural Structured Pruning.

[BibT_eX]

[DOI]

Huan Wang

Yun Fu

CoRR, 2022

Look More but Care Less in Video Recognition.

[BibT_eX]

[DOI]

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

Parameter-Efficient Masking Networks.

[BibT_eX]

[DOI]

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

Recent Advances on Neural Network Pruning at Initialization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Dual Lottery Ticket Hypothesis.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Adapting Stepsizes by Momentumized Gradients Improves Optimization and Generalization.

[BibT_eX]

[DOI]

CoRR, 2021

Dynamical Isometry: The Missing Ingredient for Neural Network Pruning.

[BibT_eX]

[DOI]

CoRR, 2021

Emerging Paradigms of Neural Network Pruning.

[BibT_eX]

[DOI]

CoRR, 2021

Contradictory Structure Learning for Semi-supervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Aligned Structured Sparsity Learning for Efficient Image Super-Resolution.

[BibT_eX]

[DOI]

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

Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation.

[BibT_eX]

[DOI]

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

Neural Pruning via Growing Regularization.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Context Reasoning Attention Network for Image Super-Resolution.

[BibT_eX]

[DOI]

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

2020

Structured Pruning for Efficient Convolutional Neural Networks via Incremental Regularization.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2020

Multi-head Knowledge Distillation for Model Compression.

[BibT_eX]

[DOI]

CoRR, 2020

Knowledge Distillation Thrives on Data Augmentation.

[BibT_eX]

[DOI]

CoRR, 2020

Opposite Structure Learning for Semi-supervised Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2020

Triplet Distillation For Deep Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

Collaborative Distillation for Ultra-Resolution Universal Style Transfer.

[BibT_eX]

[DOI]

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

2019

Triplet Distillation for Deep Face Recognition.

[BibT_eX]

[DOI]

CoRR, 2019

Structured Pruning for Efficient ConvNets via Incremental Regularization.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Three-Dimensional Convolutional Neural Network Pruning with Regularization-Based Method.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Structured Pruning for Efficient ConvNets via Incremental Regularization.

[BibT_eX]

[DOI]

CoRR, 2018

Three Dimensional Convolutional Neural Network Pruning with Regularization-Based Method.

[BibT_eX]

[DOI]

CoRR, 2018

Structured Deep Neural Network Pruning by Varying Regularization Parameters.

[BibT_eX]

[DOI]

CoRR, 2018

Concise Convolutional Neural Network for Crowd Counting.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Advanced Infocomm Technology, 2018

Structured Probabilistic Pruning for Convolutional Neural Network Acceleration.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Structured Probabilistic Pruning for Deep Convolutional Neural Network Acceleration.

[BibT_eX]

[DOI]

CoRR, 2017

2011

Enhanced CT Images by the Wavelet Transform Improving Diagnostic Accuracy of Chest Nodules.

[BibT_eX]

[DOI]

J. Digit. Imaging, 2011

Huan Wang

Timeline

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