b'Gang Wang'

research

∙ 11/08/2019

Learning Connectivity and Higher-order Interactions in Radial Distribution Grids

To perform any meaningful optimization task, distribution grid operators...

0 Qiuling Yang, et al. ∙

research

∙ 11/03/2019

Finite-Sample Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation

Motivated by the emerging use of multi-agent reinforcement learning (MAR...

18 Jun Sun, et al. ∙

research

∙ 10/25/2019

A Statistical Learning Approach to Reactive Power Control in Distribution Systems

Pronounced variability due to the growth of renewable energy sources, fl...

5 Qiuling Yang, et al. ∙

research

∙ 10/02/2019

MAC Protocols for Wireless Mesh Networks with Multi-beam Antennas: A Survey

Multi-beam antenna technologies have provided lots of promising solution...

0 Gang Wang, et al. ∙

research

∙ 10/02/2019

ChainSplitter: Towards Blockchain-based Industrial IoT Architecture for Supporting Hierarchical Storage

The fast developing Industrial Internet of Things (IIoT) technologies pr...

0 Gang Wang, et al. ∙

research

∙ 09/10/2019

A Multistep Lyapunov Approach for Finite-Time Analysis of Biased Stochastic Approximation

Motivated by the widespread use of temporal-difference (TD-) and Q-learn...

13 Gang Wang, et al. ∙

research

∙ 09/05/2019

Semantic Correlation Promoted Shape-Variant Context for Segmentation

Context is essential for semantic segmentation. Due to the diverse shape...

5 Henghui Ding, et al. ∙

research

∙ 08/31/2019

Boundary-Aware Feature Propagation for Scene Segmentation

In this work, we address the challenging issue of scene segmentation. To...

0 Henghui Ding, et al. ∙

research

∙ 05/12/2019

NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding

Research on depth-based human activity analysis achieved outstanding per...

12 Jun Liu, et al. ∙

research

∙ 03/26/2019

Unpaired Image Captioning via Scene Graph Alignments

Deep neural networks have achieved great success on the image captioning...

0 Jiuxiang Gu, et al. ∙

research

∙ 02/27/2019

Adaptive Caching via Deep Reinforcement Learning

Caching is envisioned to play a critical role in next-generation content...

0 Alireza Sadeghi, et al. ∙

research

∙ 02/19/2019

2D LiDAR Map Prediction via Estimating Motion Flow with GRU

It is a significant problem to predict the 2D LiDAR map at next moment f...

0 Yafei Song, et al. ∙

research

∙ 02/08/2019

Skeleton-Based Online Action Prediction Using Scale Selection Network

Action prediction is to recognize the class label of an ongoing activity...

4 Jun Liu, et al. ∙

research

∙ 01/15/2019

Feature Boosting Network For 3D Pose Estimation

In this paper, a feature boosting network is proposed for estimating 3D ...

2 Jun Liu, et al. ∙

research

∙ 11/29/2018

Graph Multiview Canonical Correlation Analysis

Multiview canonical correlation analysis (MCCA) seeks latent low-dimensi...

0 Jia Chen, et al. ∙

research

∙ 11/15/2018

Real-time Power System State Estimation and Forecasting via Deep Neural Networks

Contemporary smart power grids are being challenged by rapid voltage flu...

0 Liang Zhang, et al. ∙

research

∙ 11/13/2018

Modeling Local Dependence in Natural Language with Multi-channel Recurrent Neural Networks

Recurrent Neural Networks (RNNs) have been widely used in processing nat...

0 Chang Xu, et al. ∙

research

∙ 10/06/2018

Context-Aware Deep Spatio-Temporal Network for Hand Pose Estimation from Depth Images

As a fundamental and challenging problem in computer vision, hand pose e...

2 Yiming Wu, et al. ∙

research

∙ 08/14/2018

Learning ReLU Networks on Linearly Separable Data: Algorithm, Optimality, and Generalization

Neural networks with ReLU activations have achieved great empirical succ...

6 Gang Wang, et al. ∙

research

∙ 05/15/2018

Nonlinear Dimensionality Reduction for Discriminative Analytics of Multiple Datasets

Principal component analysis (PCA) is widely used for feature extraction...

0 Jia Chen, et al. ∙

research

∙ 04/18/2018

Effect of Spatial and Temporal Traffic Statistics on the Performance of Wireless Networks

The traffic in wireless networks has become diverse and fluctuating both...

0 Yi Zhong, et al. ∙

research

∙ 03/27/2018

Canonical Correlation Analysis of Datasets with a Common Source Graph

Canonical correlation analysis (CCA) is a powerful technique for discove...

0 Jia Chen, et al. ∙

research

∙ 03/27/2018

Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification

Typical person re-identification (ReID) methods usually describe each pe...

1 Jianlou Si, et al. ∙

research

∙ 03/14/2018

Unpaired Image Captioning by Language Pivoting

Image captioning is a multimodal task involving computer vision and natu...

0 Jiuxiang Gu, et al. ∙

research

∙ 03/13/2018

Multimodal Recurrent Neural Networks with Information Transfer Layers for Indoor Scene Labeling

This paper proposes a new method called Multimodal RNNs for RGB-D scene ...

0 Abrar H. Abdulnabi, et al. ∙

research

∙ 01/29/2018

Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks

It is desirable to train convolutional networks (CNNs) to run more effic...

1 Jason Kuen, et al. ∙

research

∙ 01/06/2018

Learning Hierarchical Features for Visual Object Tracking with Recursive Neural Networks

Recently, deep learning has achieved very promising results in visual ob...

0 Li Wang, et al. ∙

research

∙ 01/02/2018

Revisiting Email Spoofing Attacks

The email system is the central battleground against phishing and social...

0 Hang Hu, et al. ∙

research

∙ 12/06/2017

Compressive Phase Retrieval via Reweighted Amplitude Flow

The problem of reconstructing a sparse signal vector from magnitude-only...

0 Liang Zhang, et al. ∙

research

∙ 11/17/2017

Towards the Adoption of Anti-spoofing Protocols for Email Systems

Email spoofing is a critical step of phishing, where the attacker impers...

0 Hang Hu, et al. ∙

research

∙ 11/17/2017

Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models

Textual-visual cross-modal retrieval has been a hot research topic in bo...

0 Jiuxiang Gu, et al. ∙

research

∙ 10/25/2017

DPCA: Dimensionality Reduction for Discriminative Analytics of Multiple Large-Scale Datasets

Principal component analysis (PCA) has well-documented merits for data e...

0 Gang Wang, et al. ∙

research

∙ 09/11/2017

Stack-Captioning: Coarse-to-Fine Learning for Image Captioning

The existing image captioning approaches typically train a one-stage sen...

0 Jiuxiang Gu, et al. ∙

research

∙ 08/02/2017

A Novel Neural Network Model Specified for Representing Logical Relations

With computers to handle more and more complicated things in variable en...

0 Gang Wang, et al. ∙

research

∙ 07/18/2017

Skeleton Based Human Action Recognition with Global Context-Aware Attention LSTM Networks

Human action recognition in 3D skeleton sequences has attracted a lot of...

0 Jun Liu, et al. ∙

research

∙ 07/18/2017

Beyond Forward Shortcuts: Fully Convolutional Master-Slave Networks (MSNets) with Backward Skip Connections for Semantic Segmentation

Recent deep CNNs contain forward shortcut connections; i.e. skip connect...

0 Abrar H. Abdulnabi, et al. ∙

research

∙ 06/26/2017

Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates

Skeleton-based human action recognition has attracted a lot of research ...

0 Jun Liu, et al. ∙

research

∙ 05/29/2017

Solving Almost all Systems of Random Quadratic Equations

This paper deals with finding an n-dimensional solution x to a system of...

0 Gang Wang, et al. ∙

research

∙ 12/21/2016

An Empirical Study of Language CNN for Image Captioning

Language Models based on recurrent neural networks have dominated recent...

0 Jiuxiang Gu, et al. ∙

research

∙ 11/28/2016

Improving Fully Convolution Network for Semantic Segmentation

Fully Convolution Networks (FCN) have achieved great success in dense pr...

0 Bing Shuai, et al. ∙

research

∙ 11/17/2016

DelugeNets: Deep Networks with Efficient and Flexible Cross-layer Information Inflows

Deluge Networks (DelugeNets) are deep neural networks which efficiently ...

1 Jason Kuen, et al. ∙

research

∙ 10/29/2016

Solving Large-scale Systems of Random Quadratic Equations via Stochastic Truncated Amplitude Flow

A novel approach termed stochastic truncated amplitude flow (STAF) is de...

0 Gang Wang, et al. ∙

research

∙ 09/27/2016

Decision Making Based on Cohort Scores for Speaker Verification

Decision making is an important component in a speaker verification syst...

0 Lantian Li, et al. ∙

research

∙ 08/03/2016

Learning Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks

In this paper, we tackle the problem of RGB-D semantic segmentation of i...

0 Jinghua Wang, et al. ∙

research

∙ 07/28/2016

A Siamese Long Short-Term Memory Architecture for Human Re-Identification

Matching pedestrians across multiple camera views known as human re-iden...

0 Rahul Rama Varior, et al. ∙

research

∙ 07/28/2016

Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification

Matching pedestrians across multiple camera views, known as human re-ide...

0 Rahul Rama Varior, et al. ∙

research

∙ 07/24/2016

Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition

3D action recognition - analysis of human actions based on 3D skeleton d...

0 Jun Liu, et al. ∙

research

∙ 05/26/2016

Solving Systems of Random Quadratic Equations via Truncated Amplitude Flow

This paper presents a new algorithm, termed truncated amplitude flow (TA...

0 Gang Wang, et al. ∙

research

∙ 04/20/2016

Scene Parsing with Integration of Parametric and Non-parametric Models

We adopt Convolutional Neural Networks (CNNs) to be our parametric model...

0 Bing Shuai, et al. ∙

research

∙ 04/12/2016

Recurrent Attentional Networks for Saliency Detection

Convolutional-deconvolution networks can be adopted to perform end-to-en...

1 Jason Kuen, et al. ∙

Gang Wang

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