Xiao Zhang

Solving the Bethe-Salpeter equation on massively parallel architectures

The last ten years have witnessed fast spreading of massively parallel c...
06/15/2020 ∙ by Xiao Zhang, et al. ∙ 0 ∙ share

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Rethink the Connections among Generalization, Memorization and the Spectral Bias of DNNs

Over-parameterized deep neural networks (DNNs) with sufficient capacity ...
04/29/2020 ∙ by Xiao Zhang, et al. ∙ 0 ∙ share

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Weighted directed networks with a differentially private bi-degree sequence

The p_0 model is an exponential random graph model for directed networks...
03/21/2020 ∙ by Qiuping Wang, et al. ∙ 0 ∙ share

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CoinMagic: A Differential Privacy Framework for Ring Signature Schemes

By allowing users to obscure their transactions via including "mixins" (...
03/15/2020 ∙ by Wangze Ni, et al. ∙ 0 ∙ share

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Nearly Optimal Risk Bounds for Kernel K-Means

In this paper, we study the statistical properties of the kernel k-means...
03/09/2020 ∙ by Yong Liu, et al. ∙ 19 ∙ share

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Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models

Starting with Gilmer et al. (2018), several works have demonstrated the ...
03/01/2020 ∙ by Xiao Zhang, et al. ∙ 4 ∙ share

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Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization

Training machine learning models to be robust against adversarial inputs...
02/26/2020 ∙ by Sicheng Zhu, et al. ∙ 6 ∙ share

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Label-guided Learning for Text Classification

Text classification is one of the most important and fundamental tasks i...
02/25/2020 ∙ by Xien Liu, et al. ∙ 0 ∙ share

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Tiny Noise Can Make an EEG-Based Brain-Computer Interface Speller Output Anything

An electroencephalogram (EEG) based brain-computer interface (BCI) spell...
01/30/2020 ∙ by Xiao Zhang, et al. ∙ 0 ∙ share

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Tensor Graph Convolutional Networks for Text Classification

Compared to sequential learning models, graph-based neural networks exhi...
01/12/2020 ∙ by Xien Liu, et al. ∙ 0 ∙ share

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Empirical Studies on the Properties of Linear Regions in Deep Neural Networks

A deep neural network (DNN) with piecewise linear activations can partit...
01/04/2020 ∙ by Xiao Zhang, et al. ∙ 28 ∙ share

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Learn to Segment Retinal Lesions and Beyond

Towards automated retinal screening, this paper makes an endeavor to sim...
12/25/2019 ∙ by Qijie Wei, et al. ∙ 13 ∙ share

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Universal Adversarial Perturbations for CNN Classifiers in EEG-Based BCIs

Multiple convolutional neural network (CNN) classifiers have been propos...
12/03/2019 ∙ by Zihan Liu, et al. ∙ 0 ∙ share

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An Anomaly Contribution Explainer for Cyber-Security Applications

In this paper, we introduce Anomaly Contribution Explainer or ACE, a too...
12/01/2019 ∙ by Xiao Zhang, et al. ∙ 0 ∙ share

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Active Learning for Black-Box Adversarial Attacks in EEG-Based Brain-Computer Interfaces

Deep learning has made significant breakthroughs in many fields, includi...
11/07/2019 ∙ by Xue Jiang, et al. ∙ 0 ∙ share

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An Adaptive Empirical Bayesian Method for Sparse Deep Learning

We propose a novel adaptive empirical Bayesian (AEB) method for sparse d...
10/23/2019 ∙ by Wei Deng, et al. ∙ 0 ∙ share

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SegSort: Segmentation by Discriminative Sorting of Segments

Almost all existing deep learning approaches for semantic segmentation t...
10/15/2019 ∙ by Jyh-Jing Hwang, et al. ∙ 46 ∙ share

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Low-cost LIDAR based Vehicle Pose Estimation and Tracking

Detecting surrounding vehicles by low-cost LIDAR has been drawing enormo...
10/03/2019 ∙ by Chen Fu, et al. ∙ 0 ∙ share

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Learning Conceptual-Contexual Embeddings for Medical Text

External knowledge is often useful for natural language understanding ta...
08/16/2019 ∙ by Xiao Zhang, et al. ∙ 0 ∙ share

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The iMaterialist Fashion Attribute Dataset

Large-scale image databases such as ImageNet have significantly advanced...
06/13/2019 ∙ by Sheng Guo, et al. ∙ 2 ∙ share

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Sentiment Tagging with Partial Labels using Modular Architectures

Many NLP learning tasks can be decomposed into several distinct sub-task...
06/03/2019 ∙ by Xiao Zhang, et al. ∙ 0 ∙ share

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Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness

Many recent works have shown that adversarial examples that fool classif...
05/29/2019 ∙ by Saeed Mahloujifar, et al. ∙ 2 ∙ share

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Joint Learning of Neural Networks via Iterative Reweighted Least Squares

In this paper, we introduce the problem of jointly learning feed-forward...
05/16/2019 ∙ by Zaiwei Zhang, et al. ∙ 0 ∙ share

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P2SGrad: Refined Gradients for Optimizing Deep Face Models

Cosine-based softmax losses significantly improve the performance of dee...
05/07/2019 ∙ by Xiao Zhang, et al. ∙ 14 ∙ share

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AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations

The cosine-based softmax losses and their variants achieve great success...
05/01/2019 ∙ by Xiao Zhang, et al. ∙ 0 ∙ share

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Normalized Diversification

Generating diverse yet specific data is the goal of the generative adver...
04/07/2019 ∙ by Shaohui Liu, et al. ∙ 0 ∙ share

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On the Vulnerability of CNN Classifiers in EEG-Based BCIs

Deep learning has been successfully used in numerous applications becaus...
03/31/2019 ∙ by Xiao Zhang, et al. ∙ 0 ∙ share

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Optimal deployment of sustainable UAV networks for providing wireless coverage

Each UAV is constrained in its energy storage and wireless coverage, and...
03/27/2019 ∙ by Xiao Zhang, et al. ∙ 0 ∙ share

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DeeperLab: Single-Shot Image Parser

We present a single-shot, bottom-up approach for whole image parsing. Wh...
02/13/2019 ∙ by Tien-Ju Yang, et al. ∙ 0 ∙ share

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Delta Embedding Learning

Learning from corpus and learning from supervised NLP tasks both give us...
12/11/2018 ∙ by Xiao Zhang, et al. ∙ 0 ∙ share

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Cost-Sensitive Robustness against Adversarial Examples

Several recent works have developed methods for training classifiers tha...
10/22/2018 ∙ by Xiao Zhang, et al. ∙ 10 ∙ share

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Learning One-hidden-layer ReLU Networks via Gradient Descent

We study the problem of learning one-hidden-layer neural networks with R...
06/20/2018 ∙ by Xiao Zhang, et al. ∙ 2 ∙ share

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Economics of UAV-aided Mobile Services Deployment

An Unmanned Aerial Vehicle (UAV) network has emerged as a promising tech...
05/22/2018 ∙ by Xiao Zhang, et al. ∙ 0 ∙ share

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OMG - Emotion Challenge Solution

This short paper describes our solution to the 2018 IEEE World Congress ...
04/30/2018 ∙ by Yuqi Cui, et al. ∙ 0 ∙ share

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NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications

This work proposes an automated algorithm, called NetAdapt, that adapts ...
04/09/2018 ∙ by Tien-Ju Yang, et al. ∙ 0 ∙ share

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Learning architectures based on quantum entanglement: a simple matrix product state algorithm for image recognition

It is a fundamental, but still elusive question whether methods based on...
03/24/2018 ∙ by Yuhan Liu, et al. ∙ 0 ∙ share

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Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes Flow

We revisit the inductive matrix completion problem that aims to recover ...
03/03/2018 ∙ by Xiao Zhang, et al. ∙ 0 ∙ share

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Medical Exam Question Answering with Large-scale Reading Comprehension

Reading and understanding text is one important component in computer ai...
02/28/2018 ∙ by Xiao Zhang, et al. ∙ 0 ∙ share

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Optimal Deployment of UAV Networks for Delivering Emergency Wireless Coverage

Unmanned Aerial Vehicle (UAV) networks have emerged as a promising techn...
10/16/2017 ∙ by Xiao Zhang, et al. ∙ 0 ∙ share

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Automatic Spatially-aware Fashion Concept Discovery

This paper proposes an automatic spatially-aware concept discovery appro...
08/03/2017 ∙ by Xintong Han, et al. ∙ 0 ∙ share

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Learning Unified Embedding for Apparel Recognition

In apparel recognition, specialized models (e.g. models trained for a pa...
07/19/2017 ∙ by Yang Song, et al. ∙ 0 ∙ share

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Robust Wirtinger Flow for Phase Retrieval with Arbitrary Corruption

We consider the phase retrieval problem of recovering the unknown signal...
04/20/2017 ∙ by Jinghui Chen, et al. ∙ 0 ∙ share

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A Nonconvex Free Lunch for Low-Rank plus Sparse Matrix Recovery

We study the problem of low-rank plus sparse matrix recovery. We propose...
02/21/2017 ∙ by Xiao Zhang, et al. ∙ 0 ∙ share

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A Universal Variance Reduction-Based Catalyst for Nonconvex Low-Rank Matrix Recovery

We propose a generic framework based on a new stochastic variance-reduce...
01/09/2017 ∙ by Lingxiao Wang, et al. ∙ 0 ∙ share

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Stochastic Variance-reduced Gradient Descent for Low-rank Matrix Recovery from Linear Measurements

We study the problem of estimating low-rank matrices from linear measure...
01/02/2017 ∙ by Xiao Zhang, et al. ∙ 0 ∙ share

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Range Loss for Deep Face Recognition with Long-tail

Convolutional neural networks have achieved great improvement on face re...
11/28/2016 ∙ by Xiao Zhang, et al. ∙ 0 ∙ share

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Deep Recurrent Convolutional Neural Network: Improving Performance For Speech Recognition

A deep learning approach has been widely applied in sequence modeling pr...
11/22/2016 ∙ by Zewang Zhang, et al. ∙ 0 ∙ share

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Composing Music with Grammar Argumented Neural Networks and Note-Level Encoding

Creating aesthetically pleasing pieces of art, including music, has been...
11/16/2016 ∙ by Zheng Sun, et al. ∙ 0 ∙ share

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A Unified Computational and Statistical Framework for Nonconvex Low-Rank Matrix Estimation

We propose a unified framework for estimating low-rank matrices through ...
10/17/2016 ∙ by Lingxiao Wang, et al. ∙ 0 ∙ share

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Xiao Zhang

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