283 citations
- Beihang UniversityCN3 papers
- NEC (Japan)JP2 papers
- Binghamton UniversityUS1 paper
- Chinese Academy of SciencesCN1 paper
- Computer Network Information CenterCN1 paper
- Hong Kong University of Science and TechnologyHK1 paper
- Institute of SoftwareCN1 paper
- NEC (Germany)DE1 paper
- NEC (United Kingdom)GB1 paper
- Oregon State UniversityUS1 paper
- Peking UniversityCN1 paper
- Rutgers, The State University of New JerseyUS1 paper
10 papers
Multichannel Hybrid Quantum Cryptography for Submarine Optical Communications
Jesús Liñares, Xesús Prieto-Blanco, Alexandre Vázquez-Martínez +1
We present a multichannel hybrid quantum cryptography approach intended for submarine quantum optical communications between Alice and Bob separated a distance beyond the current Q…
Deep Air Learning: Interpolation, Prediction, and Feature Analysis of Fine-grained Air Quality
Zhongang Qi, Tianchun Wang, Guojie Song +4
The interpolation, prediction, and feature analysis of fine-gained air quality are three important topics in the area of urban air computing. The solutions to these topics can prov…
High Throughput Opportunistic Cooperative Device-to-Device Communications With Caching
Binqiang Chen, Chenyang Yang, Gang Wang
To achieve the potential in providing high throughput for cellular networks by device-to-device (D2D) communications, the interference among D2D links should be carefully managed.…
Energy-saving Pushing Based on Personal Interest and Context Information
Chuting Yao, Binqiang Chen, Chenyang Yang +1
Pushing files to users based on predicting the personal interest of each user may provide higher throughput gain than broadcasting popular files to users based on their common inte…
Cooperative Device-to-Device Communications With Caching
Binqiang Chen, Chenyang Yang, Gang Wang
Device-to-Device (D2D) communications can increase the throughput of cellular networks significantly, where the interference among D2D links should be properly managed. In this pap…
Recognizing Focal Liver Lesions in Contrast-Enhanced Ultrasound with Discriminatively Trained Spatio-Temporal Model
Xiaodan Liang, Qingxing Cao, Rui Huang +1
The aim of this study is to provide an automatic computational framework to assist clinicians in diagnosing Focal Liver Lesions (FLLs) in Contrast-Enhancement Ultrasound (CEUS). We…