Yingzhen Yang | DeepAI

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Zhangyang Wang
245 publications
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225 publications
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187 publications
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179 publications
Shiyu Chang
81 publications
Ning Xu
75 publications
Wei Han
71 publications
Zheng Chen
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Thomas S. Huang
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Zhaowen Wang
46 publications

∙ 08/28/2023

RecMind: Large Language Model Powered Agent For Recommendation

Recent advancements in instructing Large Language Models (LLMs) to utili...

0 Yancheng Wang, et al. ∙

∙ 04/20/2023

Projective Proximal Gradient Descent for A Class of Nonconvex Nonsmooth Optimization Problems: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property

Nonconvex and nonsmooth optimization problems are important and challeng...

0 Yingzhen Yang, et al. ∙

∙ 01/19/2023

RNAS-CL: Robust Neural Architecture Search by Cross-Layer Knowledge Distillation

Deep Neural Networks are vulnerable to adversarial attacks. Neural Archi...

0 Utkarsh Nath, et al. ∙

∙ 06/22/2022

Noisy ℓ^0-Sparse Subspace Clustering on Dimensionality Reduced Data

Sparse subspace clustering methods with sparsity induced by ℓ^0-norm, su...

0 Yingzhen Yang, et al. ∙

∙ 06/01/2022

Benchmark of DNN Model Search at Deployment Time

Deep learning has become the most popular direction in machine learning ...

0 Lixi Zhou, et al. ∙

∙ 05/27/2022

Bayesian Robust Graph Contrastive Learning

Graph Neural Networks (GNNs) have been widely used to learn node represe...

0 Yancheng Wang, et al. ∙

∙ 03/04/2022

Adaptive Cross-Layer Attention for Image Restoration

Non-local attention module has been proven to be crucial for image resto...

0 Yancheng Wang, et al. ∙

∙ 09/17/2021

Discriminative Similarity for Data Clustering

Similarity-based clustering methods separate data into clusters accordin...

18 Yingzhen Yang, et al. ∙

∙ 02/08/2019

FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary

We present a novel method of compression of deep Convolutional Neural Ne...

0 Yingzhen Yang, et al. ∙

∙ 02/03/2019

An Empirical Study on Regularization of Deep Neural Networks by Local Rademacher Complexity

Regularization of Deep Neural Networks (DNNs) for the sake of improving ...

0 Yingzhen Yang, et al. ∙

∙ 01/05/2018

Learning 3D-FilterMap for Deep Convolutional Neural Networks

We present a novel and compact architecture for deep Convolutional Neura...

0 Yingzhen Yang, et al. ∙

∙ 11/28/2017

WSNet: Compact and Efficient Networks with Weight Sampling

We present a new approach and a novel architecture, termed WSNet, for le...

0 Xiaojie Jin, et al. ∙

∙ 09/05/2017

Discriminative Similarity for Clustering and Semi-Supervised Learning

Similarity-based clustering and semi-supervised learning methods separat...

0 Yingzhen Yang, et al. ∙

∙ 04/06/2016

Learning A Deep ℓ_∞ Encoder for Hashing

We investigate the ℓ_∞-constrained representation which demonstrates rob...

0 Zhangyang Wang, et al. ∙

∙ 01/16/2016

Studying Very Low Resolution Recognition Using Deep Networks

Visual recognition research often assumes a sufficient resolution of the...

0 Zhangyang Wang, et al. ∙

∙ 01/16/2016

D^3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images

In this paper, we design a Deep Dual-Domain (D^3) based fast restoration...

0 Zhangyang Wang, et al. ∙

∙ 04/22/2015

Self-Tuned Deep Super Resolution

Deep learning has been successfully applied to image super resolution (S...

0 Zhangyang Wang, et al. ∙

∙ 03/12/2015

Designing A Composite Dictionary Adaptively From Joint Examples

We study the complementary behaviors of external and internal examples i...

0 Zhangyang Wang, et al. ∙

∙ 03/03/2015

Learning Super-Resolution Jointly from External and Internal Examples

Single image super-resolution (SR) aims to estimate a high-resolution (H...

0 Zhangyang Wang, et al. ∙

∙ 10/08/2012

Epitome for Automatic Image Colorization

Image colorization adds color to grayscale images. It not only increases...

0 Yingzhen Yang, et al. ∙

∙ 10/02/2012

Nonparametric Unsupervised Classification

Unsupervised classification methods learn a discriminative classifier fr...

0 Yingzhen Yang, et al. ∙

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