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20122025
most citedDatabase Meets Deep Learning: Challenges and Opportunities

149 citations · 610 across the 33 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.DB2019★ 6 cited

Blockchains vs. Distributed Databases: Dichotomy and Fusion

Pingcheng Ruan, Tien Tuan Anh Dinh, Dumitrel Loghin +4

Blockchain has come a long way: a system that was initially proposed specifically for cryptocurrencies is now being adapted and adopted as a general-purpose transactional system. A…

cs.NI2019★ 1 cited

5G: Agent for Further Digital Disruptive Transformations

Beng Chin Ooi, Gang Chen, Dumitrel Loghin +2

The fifth-generation (5G) mobile communication technologies are on the way to be adopted as the next standard for mobile networking. It is therefore timely to analyze the impact of…

cs.NI2019★ 2 cited

The Disruptions of 5G on Data-driven Technologies and Applications

Dumitrel Loghin, Shaofeng Cai, Gang Chen +12

With 5G on the verge of being adopted as the next mobile network, there is a need to analyze its impact on the landscape of computing and data management. In this paper, we analyze…

cs.DB2019★ 149 cited

Database Meets Deep Learning: Challenges and Opportunities

Wei Wang, Meihui Zhang, Gang Chen +3

Deep learning has recently become very popular on account of its incredible success in many complex data-driven applications, such as image classification and speech recognition. T…

cs.LG2019★ 54 cited

Effective and Efficient Dropout for Deep Convolutional Neural Networks

Shaofeng Cai, Yao Shu, Gang Chen +3

Convolutional Neural networks (CNNs) based applications have become ubiquitous, where proper regularization is greatly needed. To prevent large neural network models from overfitti…