Kai Zhang

On the Fundamental Limits of Coded Caching Systems with Restricted Demand Types

Caching is a technique to reduce the communication load in peak hours by...
06/30/2020 ∙ by Shuo Shao, et al. ∙ 0 ∙ share

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The Heterogeneity Hypothesis: Finding Layer-Wise Dissimilated Network Architecture

In this paper, we tackle the problem of convolutional neural network des...
06/29/2020 ∙ by Yawei Li, et al. ∙ 8 ∙ share

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Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification

Graph neural networks are promising architecture for learning and infere...
06/29/2020 ∙ by Kai Zhang, et al. ∙ 2 ∙ share

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Learning Context-Based Non-local Entropy Modeling for Image Compression

The entropy of the codes usually serves as the rate loss in the recent l...
05/10/2020 ∙ by Mu Li, et al. ∙ 2 ∙ share

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A Method for Curation of Web-Scraped Face Image Datasets

Web-scraped, in-the-wild datasets have become the norm in face recogniti...
04/07/2020 ∙ by Kai Zhang, et al. ∙ 0 ∙ share

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Depth Sensing Beyond LiDAR Range

Depth sensing is a critical component of autonomous driving technologies...
04/07/2020 ∙ by Kai Zhang, et al. ∙ 0 ∙ share

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Computational Performance of a Germline Variant Calling Pipeline for Next Generation Sequencing

With the booming of next generation sequencing technology and its implem...
04/01/2020 ∙ by Jie Liu, et al. ∙ 0 ∙ share

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DHP: Differentiable Meta Pruning via HyperNetworks

Network pruning has been the driving force for the efficient inference o...
03/30/2020 ∙ by Yawei Li, et al. ∙ 7 ∙ share

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Deep Unfolding Network for Image Super-Resolution

Learning-based single image super-resolution (SISR) methods are continuo...
03/23/2020 ∙ by Kai Zhang, et al. ∙ 10 ∙ share

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How Does Gender Balance In Training Data Affect Face Recognition Accuracy?

Even though deep learning methods have greatly increased the overall acc...
02/07/2020 ∙ by Vitor Albiero, et al. ∙ 0 ∙ share

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Analysis of Gender Inequality In Face Recognition Accuracy

We present a comprehensive analysis of how and why face recognition accu...
01/31/2020 ∙ by Vitor Albiero, et al. ∙ 0 ∙ share

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Testing Independence with the Binary Expansion Randomized Ensemble Test

Recently, the binary expansion testing framework was introduced to test ...
12/08/2019 ∙ by Duyeol Lee, et al. ∙ 0 ∙ share

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AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results

This paper reviews the AIM 2019 challenge on constrained example-based s...
11/04/2019 ∙ by Kai Zhang, et al. ∙ 12 ∙ share

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Unsupervised Context Rewriting for Open Domain Conversation

Context modeling has a pivotal role in open domain conversation. Existin...
10/18/2019 ∙ by Kun Zhou, et al. ∙ 0 ∙ share

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Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style

Image captioning is a research hotspot where encoder-decoder models comb...
10/15/2019 ∙ by Hongwei Ge, et al. ∙ 0 ∙ share

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Leveraging Vision Reconstruction Pipelines for Satellite Imagery

Reconstructing 3D geometry from satellite imagery is an important topic ...
10/07/2019 ∙ by Kai Zhang, et al. ∙ 8 ∙ share

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Variable screening based on Gaussian Centered L-moments

An important challenge in big data is identification of important variab...
08/29/2019 ∙ by Hyowon An, et al. ∙ 0 ∙ share

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Neural Blind Deconvolution Using Deep Priors

Blind deconvolution is a classical yet challenging low-level vision prob...
08/06/2019 ∙ by Dongwei Ren, et al. ∙ 1 ∙ share

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A Convolutional Forward and Back-Projection Model for Fan-Beam Geometry

Iterative methods for tomographic image reconstruction have great potent...
07/24/2019 ∙ by Kai Zhang, et al. ∙ 6 ∙ share

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A Reference Vector based Many-Objective Evolutionary Algorithm with Feasibility-aware Adaptation

The infeasible parts of the objective space in difficult many-objective ...
04/12/2019 ∙ by Mingde Zhao, et al. ∙ 15 ∙ share

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Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels

While deep neural networks (DNN) based single image super-resolution (SI...
03/29/2019 ∙ by Kai Zhang, et al. ∙ 0 ∙ share

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Penalized linear regression with high-dimensional pairwise screening

In variable selection, most existing screening methods focus on marginal...
02/08/2019 ∙ by Siliang Gong, et al. ∙ 0 ∙ share

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Toward Convolutional Blind Denoising of Real Photographs

Despite their success in Gaussian denoising, deep convolutional neural n...
07/12/2018 ∙ by Shi Guo, et al. ∙ 0 ∙ share

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Multi-level Wavelet-CNN for Image Restoration

The tradeoff between receptive field size and efficiency is a crucial is...
05/18/2018 ∙ by Pengju Liu, et al. ∙ 0 ∙ share

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Bilateral Teleoperation of Multiple Robots under Scheduling Communication

In this paper, bilateral teleoperation of multiple slaves coupled to a s...
04/12/2018 ∙ by Yuling Li, et al. ∙ 0 ∙ share

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Learning a Single Convolutional Super-Resolution Network for Multiple Degradations

Recent years have witnessed the unprecedented success of deep convolutio...
12/17/2017 ∙ by Kai Zhang, et al. ∙ 0 ∙ share

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Latent Association Mining in Binary Data

We consider the problem of identifying groups of mutually associated var...
11/28/2017 ∙ by Kelly Bodwin, et al. ∙ 0 ∙ share

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Robust Non-line-of-sight Imaging with Single Photon Detectors

Imaging objects that are obscured by scattering and occlusion is an impo...
11/20/2017 ∙ by Felix Heide, et al. ∙ 0 ∙ share

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FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising

Due to the fast inference and good performance, discriminative learning ...
10/11/2017 ∙ by Kai Zhang, et al. ∙ 0 ∙ share

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Learning Deep CNN Denoiser Prior for Image Restoration

Model-based optimization methods and discriminative learning methods hav...
04/11/2017 ∙ by Kai Zhang, et al. ∙ 0 ∙ share

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Single Image Super-resolution via a Lightweight Residual Convolutional Neural Network

Recent years have witnessed great success of convolutional neural networ...
03/23/2017 ∙ by Yudong Liang, et al. ∙ 0 ∙ share

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BET on Independence

We study the problem of nonparametric dependence detection. Many existin...
10/17/2016 ∙ by Kai Zhang, et al. ∙ 0 ∙ share

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Entity Embedding-based Anomaly Detection for Heterogeneous Categorical Events

Anomaly detection plays an important role in modern data-driven security...
08/26/2016 ∙ by Ting Chen, et al. ∙ 0 ∙ share

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Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

Discriminative model learning for image denoising has been recently attr...
08/13/2016 ∙ by Kai Zhang, et al. ∙ 0 ∙ share

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Distributed Flexible Nonlinear Tensor Factorization

Tensor factorization is a powerful tool to analyse multi-way data. Compa...
04/27/2016 ∙ by Shandian Zhe, et al. ∙ 0 ∙ share

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Spherical Cap Packing Asymptotics and Rank-Extreme Detection

We study the spherical cap packing problem with a probabilistic approach...
11/19/2015 ∙ by Kai Zhang, et al. ∙ 0 ∙ share

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Kai Zhang

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