Wei Zhao

COVID-19 Chest CT Image Segmentation – A Deep Convolutional Neural Network Solution

A novel coronavirus disease 2019 (COVID-19) was detected and has spread ...
04/23/2020 ∙ by Qingsen Yan, et al. ∙ 15 ∙ share

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Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images

Background: Chest computed tomography (CT) is recognized as an important...
03/26/2020 ∙ by Zhenyu Tang, et al. ∙ 13 ∙ share

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Source Camera Identification Based On Content-Adaptive Fusion Network

Source camera identification is still a hard task in forensics community...
03/15/2017 ∙ by Pengpeng Yang, et al. ∙ 0 ∙ share

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Leveraging Long and Short-term Information in Content-aware Movie Recommendation

Movie recommendation systems provide users with ranked lists of movies b...
12/25/2017 ∙ by Wei Zhao, et al. ∙ 0 ∙ share

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EASM: Efficiency-Aware Switch Migration for Balancing Controller Loads in Software-Defined Networking

Distributed multi-controller deployment is a promising method to achieve...
11/23/2017 ∙ by Tao Hu, et al. ∙ 0 ∙ share

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Robust Contrast Enhancement Forensics Using Convolutional Neural Networks

Contrast enhancement(CE) forensics has always been attracted widely atte...
03/13/2018 ∙ by Pengpeng Yang, et al. ∙ 0 ∙ share

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Security Consideration For Deep Learning-Based Image Forensics

Recently, image forensics community has paied attention to the research ...
03/29/2018 ∙ by Wei Zhao, et al. ∙ 0 ∙ share

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Deep Reinforcement Learning for Sponsored Search Real-time Bidding

Bidding optimization is one of the most critical problems in online adve...
03/01/2018 ∙ by Jun Zhao, et al. ∙ 0 ∙ share

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Investigating Capsule Networks with Dynamic Routing for Text Classification

In this study, we explore capsule networks with dynamic routing for text...
03/29/2018 ∙ by Wei Zhao, et al. ∙ 0 ∙ share

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Fast Dynamic Routing Based on Weighted Kernel Density Estimation

Capsules as well as dynamic routing between them are most recently propo...
05/28/2018 ∙ by Suofei Zhang, et al. ∙ 0 ∙ share

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IoT Security: An End-to-End View and Case Study

In this paper, we present an end-to-end view of IoT security and privacy...
05/15/2018 ∙ by Zhen Ling, et al. ∙ 0 ∙ share

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Multi-Perspective Context Aggregation for Semi-supervised Cloze-style Reading Comprehension

Cloze-style reading comprehension has been a popular task for measuring ...
08/20/2018 ∙ by Liang Wang, et al. ∙ 0 ∙ share

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Decentralized Multi-UAV Routing in the Presence of Disturbances

We introduce a decentralized and online path planning technique for a ne...
07/12/2018 ∙ by Wei Zhao, et al. ∙ 0 ∙ share

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Vector and Line Quantization for Billion-scale Similarity Search on GPUs

Billion-scale high-dimensional approximate nearest neighbour (ANN) searc...
01/02/2019 ∙ by Wei Chen, et al. ∙ 0 ∙ share

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Second order hierarchical partial least squares regression-polynomial chaos expansion for global sensitivity and reliability analyses of high-dimensional models

To tackle the curse of dimensionality and multicollinearity problems of ...
01/31/2019 ∙ by Wei Zhao, et al. ∙ 0 ∙ share

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Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data

Neural machine translation systems have become state-of-the-art approach...
03/01/2019 ∙ by Wei Zhao, et al. ∙ 0 ∙ share

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Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications

Obstacles hindering the development of capsule networks for challenging ...
06/06/2019 ∙ by Wei Zhao, et al. ∙ 0 ∙ share

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HTDet: A Clustering Method using Information Entropy for Hardware Trojan Detection

Hardware Trojans (HTs) have drawn more and more attention in both academ...
06/10/2019 ∙ by Renjie Lu, et al. ∙ 0 ∙ share

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Denoising based Sequence-to-Sequence Pre-training for Text Generation

This paper presents a new sequence-to-sequence (seq2seq) pre-training me...
08/22/2019 ∙ by Liang Wang, et al. ∙ 0 ∙ share

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IntentGC: a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation

The remarkable progress of network embedding has led to state-of-the-art...
07/24/2019 ∙ by Jun Zhao, et al. ∙ 0 ∙ share

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MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance

A robust evaluation metric has a profound impact on the development of t...
09/05/2019 ∙ by Wei Zhao, et al. ∙ 0 ∙ share

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Personalized Attraction Enhanced Sponsored Search with Multi-task Learning

We study a novel problem of sponsored search (SS) for E-Commerce platfor...
07/24/2019 ∙ by Wei Zhao, et al. ∙ 0 ∙ share

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Time-sync Video Tag Extraction Using Semantic Association Graph

Time-sync comments reveal a new way of extracting the online video tags....
05/03/2019 ∙ by Wenmian Yang, et al. ∙ 0 ∙ share

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Tensor train-Karhunen-Loève expansion for continuous-indexed random fields using higher-order cumulant functions

The goals of this work are two-fold: firstly, to propose a new theoretic...
07/15/2019 ∙ by Ling-Ze Bu, et al. ∙ 0 ∙ share

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Dual-Domain Fusion Convolutional Neural Network for Contrast Enhancement Forensics

Contrast enhancement (CE) forensics techniques have always been of great...
10/17/2019 ∙ by Pengpeng Yang, et al. ∙ 0 ∙ share

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Wei Zhao

Featured Co-authors

Wei Wang

Wei Chen

Jun Zhao

Liang Wang

Jun Liu

Yang Gao

Bo Wang

Yao Zhao

Erik Cambria

Dinggang Shen

Fei Liu

COVID-19 Chest CT Image Segmentation – A Deep Convolutional Neural Network Solution

Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images

Source Camera Identification Based On Content-Adaptive Fusion Network

Leveraging Long and Short-term Information in Content-aware Movie Recommendation

EASM: Efficiency-Aware Switch Migration for Balancing Controller Loads in Software-Defined Networking

Robust Contrast Enhancement Forensics Using Convolutional Neural Networks

Security Consideration For Deep Learning-Based Image Forensics

Deep Reinforcement Learning for Sponsored Search Real-time Bidding

Investigating Capsule Networks with Dynamic Routing for Text Classification

Fast Dynamic Routing Based on Weighted Kernel Density Estimation

IoT Security: An End-to-End View and Case Study

Multi-Perspective Context Aggregation for Semi-supervised Cloze-style Reading Comprehension

Decentralized Multi-UAV Routing in the Presence of Disturbances

Vector and Line Quantization for Billion-scale Similarity Search on GPUs

Second order hierarchical partial least squares regression-polynomial chaos expansion for global sensitivity and reliability analyses of high-dimensional models

Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data

Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications

HTDet: A Clustering Method using Information Entropy for Hardware Trojan Detection

Denoising based Sequence-to-Sequence Pre-training for Text Generation

IntentGC: a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation

MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance

Personalized Attraction Enhanced Sponsored Search with Multi-task Learning

Time-sync Video Tag Extraction Using Semantic Association Graph

Tensor train-Karhunen-Loève expansion for continuous-indexed random fields using higher-order cumulant functions

Dual-Domain Fusion Convolutional Neural Network for Contrast Enhancement Forensics