# Zhangyang Wang

According to our database1, Zhangyang Wang authored at least 113 papers between 2012 and 2019.

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## Bibliography

2019
Enhance Visual Recognition Under Adverse Conditions via Deep Networks.
IEEE Trans. Image Processing, 2019

Benchmarking Single-Image Dehazing and Beyond.
IEEE Trans. Image Processing, 2019

Hyperspectral Image Classification Using Similarity Measurements-Based Deep Recurrent Neural Networks.
Remote Sensing, 2019

Drawing early-bird tickets: Towards more efficient training of deep networks.
CoRR, 2019

Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach.
CoRR, 2019

AutoGAN: Neural Architecture Search for Generative Adversarial Networks.
CoRR, 2019

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better.
CoRR, 2019

ABD-Net: Attentive but Diverse Person Re-Identification.
CoRR, 2019

Report on UG^2+ Challenge Track 1: Assessing Algorithms to Improve Video Object Detection and Classification from Unconstrained Mobility Platforms.
CoRR, 2019

Dual Dynamic Inference: Enabling More Efficient, Adaptive and Controllable Deep Inference.
CoRR, 2019

EnlightenGAN: Deep Light Enhancement without Paired Supervision.
CoRR, 2019

Privacy-Preserving Deep Visual Recognition: An Adversarial Learning Framework and A New Dataset.
CoRR, 2019

ArcticNet: A Deep Learning Solution to Classify Arctic Wetlands.
CoRR, 2019

All-In-One Underwater Image Enhancement using Domain-Adversarial Learning.
CoRR, 2019

Segmentation-Aware Image Denoising without Knowing True Segmentation.
CoRR, 2019

Predicting Model Failure using Saliency Maps in Autonomous Driving Systems.
CoRR, 2019

Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images.
CoRR, 2019

Plug-and-Play Methods Provably Converge with Properly Trained Denoisers.
CoRR, 2019

Controllable Artistic Text Style Transfer via Shape-Matching GAN.
CoRR, 2019

UG2 Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments.
CoRR, 2019

Single Image Deraining: A Comprehensive Benchmark Analysis.
CoRR, 2019

Convolutional Sparse Coding for Compressed Sensing CT Reconstruction.
CoRR, 2019

Adversarially Trained Model Compression: When Robustness Meets Efficiency.
CoRR, 2019

Bridging the Gap Between Computational Photography and Visual Recognition.
CoRR, 2019

Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models.
CoRR, 2019

DeepAffinity: interpretable deep learning of compound-protein affinity through unified recurrent and convolutional neural networks.
Bioinformatics, 2019

A Novel Framework for 3D-2D Vertebra Matching.
Proceedings of the 2nd IEEE Conference on Multimedia Information Processing and Retrieval, 2019

Self-Reproducing Video Frame Interpolation.
Proceedings of the 2nd IEEE Conference on Multimedia Information Processing and Retrieval, 2019

Plug-and-Play Methods Provably Converge with Properly Trained Denoisers.
Proceedings of the 36th International Conference on Machine Learning, 2019

ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA.
Proceedings of the 7th International Conference on Learning Representations, 2019

Proceedings of the IEEE International Conference on Acoustics, 2019

Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach.
IEEE Trans. Image Processing, 2018

Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?
CoRR, 2018

Connecting Image Denoising and High-Level Vision Tasks via Deep Learning.
CoRR, 2018

CoRR, 2018

Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds.
CoRR, 2018

U-Finger: Multi-Scale Dilated Convolutional Network for Fingerprint Image Denoising and Inpainting.
CoRR, 2018

Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study.
CoRR, 2018

Improved Techniques for Learning to Dehaze and Beyond: A Collective Study.
CoRR, 2018

Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions.
CoRR, 2018

DeepAffinity: Interpretable Deep Learning of Compound-Protein Affinity through Unified Recurrent and Convolutional Neural Networks.
CoRR, 2018

Learning Simple Thresholded Features with Sparse Support Recovery.
CoRR, 2018

Lp-Norm Constrained Coding With Frank-Wolfe Network.
CoRR, 2018

Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases.
CoRR, 2018

Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Can We Gain More from Orthogonality Regularizations in Training Deep Networks?
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

MusicMapp: A Deep Learning Based Solution for Music Exploration and Visual Interaction.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions.
Proceedings of the 35th International Conference on Machine Learning, 2018

Growing Deep Forests Efficiently with Soft Routing and Learned Connectivity.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study.
Proceedings of the Computer Vision - ECCV 2018, 2018

Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

End-to-End United Video Dehazing and Detection.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Visual Recognition in Very Low-Quality Settings: Delving Into the Power of Pre-Training.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Greedy Batch-Based Minimum-Cost Flows for Tracking Multiple Objects.
IEEE Trans. Image Processing, 2017

Biomedical informatics with optimization and machine learning.
EURASIP J. Bioinformatics and Systems Biology, 2017

Enhance Visual Recognition under Adverse Conditions via Deep Networks.
CoRR, 2017

RESIDE: A Benchmark for Single Image Dehazing.
CoRR, 2017

Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion.
CoRR, 2017

End-to-End United Video Dehazing and Detection.
CoRR, 2017

Robust Emotion Recognition from Low Quality and Low Bit Rate Video: A Deep Learning Approach.
CoRR, 2017

An All-in-One Network for Dehazing and Beyond.
CoRR, 2017

Image aesthetics assessment using Deep Chatterjee's machine.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Doubly Sparsifying Network.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Computed tomography super-resolution using convolutional neural networks.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Robust Video Super-Resolution with Learned Temporal Dynamics.
Proceedings of the IEEE International Conference on Computer Vision, 2017

AOD-Net: All-in-One Dehazing Network.
Proceedings of the IEEE International Conference on Computer Vision, 2017

NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Balanced Two-Stage Residual Networks for Image Super-Resolution.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Transformed Anti-Sparse Hashing.
Proceedings of the British Machine Vision Conference 2017, 2017

Robust emotion recognition from low quality and low bit rate video: A deep learning approach.
Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction, 2017

2016
UnitBox: An Advanced Object Detection Network.
CoRR, 2016

Deep Double Sparsity Encoder: Learning to Sparsify Not Only Features But Also Parameters.
CoRR, 2016

Learning A Deep ℓ Encoder for Hashing.
CoRR, 2016

$\mathbf{D^3}$: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images.
CoRR, 2016

Brain-Inspired Deep Networks for Image Aesthetics Assessment.
CoRR, 2016

Studying Very Low Resolution Recognition Using Deep Networks.
CoRR, 2016

Learning A Task-Specific Deep Architecture For Clustering.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

UnitBox: An Advanced Object Detection Network.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Learning A Deep ℓ Encoder for Hashing.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Studying Very Low Resolution Recognition Using Deep Networks.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Epitomic Image Super-Resolution.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Learning Deep ℓ0 Encoders.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Learning Super-Resolution Jointly From External and Internal Examples.
IEEE Trans. Image Processing, 2015

Semisupervised Hyperspectral Classification Using Task-Driven Dictionary Learning With Laplacian Regularization.
IEEE Trans. Geoscience and Remote Sensing, 2015

Designing A Composite Dictionary Adaptively From Joint Examples.
CoRR, 2015

Learning Super-Resolution Jointly from External and Internal Examples.
CoRR, 2015

Self-Tuned Deep Super Resolution.
CoRR, 2015

DeepFont: Identify Your Font from An Image.
CoRR, 2015

Real-World Font Recognition Using Deep Network and Domain Adaptation.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Learning Deep ℓ0 Encoders.
CoRR, 2015

Decentralized Recommender Systems.
CoRR, 2015

Learning A Task-Specific Deep Architecture For Clustering.
CoRR, 2015

Designing a composite dictionary adaptively from joint examples.
Proceedings of the 2015 Visual Communications and Image Processing, 2015

DeepFont: Identify Your Font from An Image.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

DeepFont: A System for Font Recognition and Similarity.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

A Joint Optimization Framework of Sparse Coding and Discriminative Clustering.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Self-tuned deep super resolution.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

2014
A joint perspective towards image super-resolution: Unifying external- and self-examples.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Active Planning, Sensing, and Recognition Using a Resource-Constrained Discriminant POMDP.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

Regularized l1-Graph for Data Clustering.
Proceedings of the British Machine Vision Conference, 2014

Data Clustering by Laplacian Regularized L1-Graph.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Multi-Level Video Frame Interpolation: Exploiting the Interaction Among Different Levels.
IEEE Trans. Circuits Syst. Video Techn., 2013

Robust Temporal-Spatial Decomposition and Its Applications in Video Processing.
IEEE Trans. Circuits Syst. Video Techn., 2013

Detection of Blotch and Scratch in Video Based on Video Decomposition.
IEEE Trans. Circuits Syst. Video Techn., 2013

2012
Mixed Gaussian-impulse video noise removal via temporal-spatial decomposition.
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012

Video error concealment via total variation regularized matrix completion.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Video frame interpolation using 3-D total variation regularized completion.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012