Huan Wang

Orcid: 0000-0001-6951-901X

Affiliations:

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

According to our database¹, Huan Wang authored at least 57 papers between 2011 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Niagara: Normal-Integrated Geometric Affine Field for Scene Reconstruction From a Single View.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., May, 2026

LVOmniBench: Pioneering Long Audio-Video Understanding Evaluation for Omnimodal LLMs.

[BibT_eX]

[DOI]

CoRR, March, 2026

MobileKernelBench: Can LLMs Write Efficient Kernels for Mobile Devices?

[BibT_eX]

[DOI]

CoRR, March, 2026

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels.

[BibT_eX]

[DOI]

CoRR, February, 2026

2025

Revisiting MLLM Token Technology through the Lens of Classical Visual Coding.

[BibT_eX]

[DOI]

CoRR, August, 2025

ResSVD: Residual Compensated SVD for Large Language Model Compression.

[BibT_eX]

[DOI]

CoRR, May, 2025

Boosting Large Language Models with Mask Fine-Tuning.

[BibT_eX]

[DOI]

CoRR, March, 2025

Dynamic Token Reduction during Generation for Vision Language Models.

[BibT_eX]

[DOI]

CoRR, January, 2025

Individual Content and Motion Dynamics Preserved Pruning for Video Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2024

Accessing Vision Foundation Models at ImageNet-level Costs.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Real-time Video Compressive Sensing on Mobile Devices.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Don't Judge by the Look: Towards Motion Coherent Video Representation.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Coarse-Fine Spectral-Aware Deformable Convolution for Hyperspectral Image Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2024

LightAvatar: Efficient Head Avatar as Dynamic Neural Light Field.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

A Simple Low-Bit Quantization Framework for Video Snapshot Compressive Imaging.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

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

[BibT_eX]

[DOI]

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

Latent Graph Inference with Limited Supervision.

[BibT_eX]

[DOI]

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

SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds.

[BibT_eX]

[DOI]

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

Trainability Preserving Neural Pruning.

[BibT_eX]

[DOI]

Huan Wang

Yun Fu

Proceedings of the Eleventh International Conference on Learning Representations, 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

What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical Perspective.

[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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Bibliography

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