◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Lei Lei

16 papers hereh-index 192.4k citations39 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author6
  • middle author5
  • last author2

Across the 13 of 16 papers where every author was matched, so the position is known.

fields
  • cs.LG7
  • eess.SY4
  • cs.CL1
  • cs.DC1
  • cs.IT1
  • cs.NI1
same name
  • Lei Lei — 20 papers, h 6
  • Lei Lei — 16 papers, h 24
  • Lei Lei — 14 papers, h 16
  • Lei Lei — 8 papers, h 3
  • Lei Lei — 4 papers, h 11
  • Lei Lei — 4 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192025
most citedFederated Reinforcement Learning: Techniques, Applications, and Open Challenges

214 citations · 317 across the 15 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.LG2019★ 13 cited

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.SP2019★ 4 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.CL2019★ 5 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…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.