b'Xiao Zhang'

research

∙ 04/08/2021

Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT

Many real-world IoT systems comprising various internet-connected sensor...

Zekai Chen, et al. ∙

research

∙ 03/24/2021

Improved Estimation of Concentration Under ℓ_p-Norm Distance Metrics Using Half Spaces

Concentration of measure has been argued to be the fundamental cause of ...

Jack Prescott, et al. ∙

research

∙ 03/19/2021

Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond

Deep neural networks have been well-known for their superb performance i...

Xuhong Li, et al. ∙

research

∙ 01/24/2021

Multi-Task Time Series Forecasting With Shared Attention

Time series forecasting is a key component in many industrial and busine...

Zekai Chen, et al. ∙

research

∙ 01/18/2021

Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction

Potential crowd flow prediction for new planned transportation sites is ...

Qiang Zhou, et al. ∙

research

∙ 12/20/2020

Guidance Module Network for Video Captioning

Video captioning has been a challenging and significant task that descri...

Xiao Zhang, et al. ∙

research

∙ 12/05/2020

Self-Supervised Visual Representation Learning from Hierarchical Grouping

We create a framework for bootstrapping visual representation learning f...

Xiao Zhang, et al. ∙

research

∙ 11/02/2020

Semi-supervised Autoencoding Projective Dependency Parsing

We describe two end-to-end autoencoding models for semi-supervised graph...

Xiao Zhang, et al. ∙

research

∙ 11/02/2020

Cross-Lingual Document Retrieval with Smooth Learning

Cross-lingual document search is an information retrieval task in which ...

Jiapeng Liu, et al. ∙

research

∙ 09/16/2020

Measuring Information Transfer in Neural Networks

Estimation of the information content in a neural network model can be p...

Xiao Zhang, et al. ∙

research

∙ 07/25/2020

Variance Reduction for Deep Q-Learning using Stochastic Recursive Gradient

Deep Q-learning algorithms often suffer from poor gradient estimations w...

Haonan Jia, et al. ∙

research

∙ 06/15/2020

Solving the Bethe-Salpeter equation on massively parallel architectures

The last ten years have witnessed fast spreading of massively parallel c...

Xiao Zhang, et al. ∙

research

∙ 04/29/2020

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

Over-parameterized deep neural networks (DNNs) with sufficient capacity ...

Xiao Zhang, et al. ∙

research

∙ 03/21/2020

Weighted directed networks with a differentially private bi-degree sequence

The p_0 model is an exponential random graph model for directed networks...

Qiuping Wang, et al. ∙

research

∙ 03/15/2020

CoinMagic: A Differential Privacy Framework for Ring Signature Schemes

By allowing users to obscure their transactions via including "mixins" (...

Wangze Ni, et al. ∙

research

∙ 03/09/2020

Nearly Optimal Risk Bounds for Kernel K-Means

In this paper, we study the statistical properties of the kernel k-means...

Yong Liu, et al. ∙

research

∙ 03/01/2020

Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models

Starting with Gilmer et al. (2018), several works have demonstrated the ...

Xiao Zhang, et al. ∙

research

∙ 02/26/2020

Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization

Training machine learning models to be robust against adversarial inputs...

Sicheng Zhu, et al. ∙

research

∙ 02/25/2020

Label-guided Learning for Text Classification

Text classification is one of the most important and fundamental tasks i...

Xien Liu, et al. ∙

research

∙ 01/30/2020

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

An electroencephalogram (EEG) based brain-computer interface (BCI) spell...

Xiao Zhang, et al. ∙

research

∙ 01/12/2020

Tensor Graph Convolutional Networks for Text Classification

Compared to sequential learning models, graph-based neural networks exhi...

Xien Liu, et al. ∙

research

∙ 01/04/2020

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

A deep neural network (DNN) with piecewise linear activations can partit...

Xiao Zhang, et al. ∙

research

∙ 12/25/2019

Learn to Segment Retinal Lesions and Beyond

Towards automated retinal screening, this paper makes an endeavor to sim...

Qijie Wei, et al. ∙

research

∙ 12/03/2019

Universal Adversarial Perturbations for CNN Classifiers in EEG-Based BCIs

Multiple convolutional neural network (CNN) classifiers have been propos...

Zihan Liu, et al. ∙

research

∙ 12/01/2019

An Anomaly Contribution Explainer for Cyber-Security Applications

In this paper, we introduce Anomaly Contribution Explainer or ACE, a too...

Xiao Zhang, et al. ∙

research

∙ 11/07/2019

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

Deep learning has made significant breakthroughs in many fields, includi...

Xue Jiang, et al. ∙

research

∙ 10/23/2019

An Adaptive Empirical Bayesian Method for Sparse Deep Learning

We propose a novel adaptive empirical Bayesian (AEB) method for sparse d...

Wei Deng, et al. ∙

research

∙ 10/15/2019

SegSort: Segmentation by Discriminative Sorting of Segments

Almost all existing deep learning approaches for semantic segmentation t...

Jyh-Jing Hwang, et al. ∙

research

∙ 10/03/2019

Low-cost LIDAR based Vehicle Pose Estimation and Tracking

Detecting surrounding vehicles by low-cost LIDAR has been drawing enormo...

Chen Fu, et al. ∙

research

∙ 08/16/2019

Learning Conceptual-Contexual Embeddings for Medical Text

External knowledge is often useful for natural language understanding ta...

Xiao Zhang, et al. ∙

research

∙ 06/13/2019

The iMaterialist Fashion Attribute Dataset

Large-scale image databases such as ImageNet have significantly advanced...

Sheng Guo, et al. ∙

research

∙ 06/03/2019

Sentiment Tagging with Partial Labels using Modular Architectures

Many NLP learning tasks can be decomposed into several distinct sub-task...

Xiao Zhang, et al. ∙

research

∙ 05/29/2019

Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness

Many recent works have shown that adversarial examples that fool classif...

Saeed Mahloujifar, et al. ∙

research

∙ 05/16/2019

Joint Learning of Neural Networks via Iterative Reweighted Least Squares

In this paper, we introduce the problem of jointly learning feed-forward...

Zaiwei Zhang, et al. ∙

research

∙ 05/07/2019

P2SGrad: Refined Gradients for Optimizing Deep Face Models

Cosine-based softmax losses significantly improve the performance of dee...

Xiao Zhang, et al. ∙

research

∙ 05/01/2019

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

The cosine-based softmax losses and their variants achieve great success...

Xiao Zhang, et al. ∙

research

∙ 04/07/2019

Normalized Diversification

Generating diverse yet specific data is the goal of the generative adver...

Shaohui Liu, et al. ∙

research

∙ 03/31/2019

On the Vulnerability of CNN Classifiers in EEG-Based BCIs

Deep learning has been successfully used in numerous applications becaus...

Xiao Zhang, et al. ∙

research

∙ 03/27/2019

Optimal deployment of sustainable UAV networks for providing wireless coverage

Each UAV is constrained in its energy storage and wireless coverage, and...

Xiao Zhang, et al. ∙

research

∙ 02/13/2019

DeeperLab: Single-Shot Image Parser

We present a single-shot, bottom-up approach for whole image parsing. Wh...

Tien-Ju Yang, et al. ∙

research

∙ 12/11/2018

Delta Embedding Learning

Learning from corpus and learning from supervised NLP tasks both give us...

Xiao Zhang, et al. ∙

research

∙ 10/22/2018

Cost-Sensitive Robustness against Adversarial Examples

Several recent works have developed methods for training classifiers tha...

Xiao Zhang, et al. ∙

research

∙ 06/20/2018

Learning One-hidden-layer ReLU Networks via Gradient Descent

We study the problem of learning one-hidden-layer neural networks with R...

Xiao Zhang, et al. ∙

research

∙ 05/22/2018

Economics of UAV-aided Mobile Services Deployment

An Unmanned Aerial Vehicle (UAV) network has emerged as a promising tech...

Xiao Zhang, et al. ∙

research

∙ 04/30/2018

OMG - Emotion Challenge Solution

This short paper describes our solution to the 2018 IEEE World Congress ...

Yuqi Cui, et al. ∙

research

∙ 04/09/2018

NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications

This work proposes an automated algorithm, called NetAdapt, that adapts ...

Tien-Ju Yang, et al. ∙

research

∙ 03/24/2018

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...

Yuhan Liu, et al. ∙

research

∙ 03/03/2018

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

We revisit the inductive matrix completion problem that aims to recover ...

Xiao Zhang, et al. ∙

research

∙ 02/28/2018

Medical Exam Question Answering with Large-scale Reading Comprehension

Reading and understanding text is one important component in computer ai...

Xiao Zhang, et al. ∙

research

∙ 10/16/2017

Optimal Deployment of UAV Networks for Delivering Emergency Wireless Coverage

Unmanned Aerial Vehicle (UAV) networks have emerged as a promising techn...

Xiao Zhang, et al. ∙

Xiao Zhang

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