most citedPatent Analytics Based on Feature Vector Space Model: A Case of IoT

5 citations · 9 across the 4 of their papers we have counts for

collaborators

5 papers

cs.DC2020

Performance Modeling and Analysis of a Hyperledger-based System Using GSPN

Pu Yuan, Kan Zheng, Xiong Xiong +2

As a highly scalable permissioned blockchain platform, Hyperledger Fabric supports a wide range of industry use cases ranging from governance to finance. In this paper, we propose…

cs.LG2019

Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges

Lei Lei, Yue Tan, Kan Zheng +4

The Internet of Things (IoT) extends the Internet connectivity into billions of IoT devices around the world, where the IoT devices collect and share information to reflect status…

eess.SP20194 cited

Multi-user Resource Control with Deep Reinforcement Learning in IoT Edge Computing

Lei Lei, Huijuan Xu, Xiong Xiong +3

By leveraging the concept of mobile edge computing (MEC), massive amount of data generated by a large number of Internet of Things (IoT) devices could be offloaded to MEC server at…

cs.CL20195 cited

Patent Analytics Based on Feature Vector Space Model: A Case of IoT

Lei Lei, Jiaju Qi, Kan Zheng

The number of approved patents worldwide increases rapidly each year, which requires new patent analytics to efficiently mine the valuable information attached to these patents. Ve…

cs.LG2019

An In-Vehicle KWS System with Multi-Source Fusion for Vehicle Applications

Yue Tan, Kan Zheng, Lei Lei

In order to maximize detection precision rate as well as the recall rate, this paper proposes an in-vehicle multi-source fusion scheme in Keyword Spotting (KWS) System for vehicle…