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researcher

J. Xu

27 papers hereh-index 458.2k citations367 works total

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

author position
  • sole author3
  • first author11
  • middle author10
  • last author3

Across the 27 of 27 papers where every author was matched, so the position is known.

fields
  • cs.IT7
  • cs.GT5
  • cs.LG3
  • math.DG3
  • cs.CV2
  • cs.AI1
same name
  • J. Xu — 132 papers
  • J. Xu — 106 papers, h 42
  • J. Xu — 48 papers, h 32
  • J. Xu — 23 papers, h 11
  • J. Xu — 21 papers, h 0
  • J. Xu — 18 papers

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
20112023
most citedWireless Powered Cooperative Jamming for Secure OFDM System

110 citations · 399 across the 26 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.IT2017★ 16 cited

UAV-Enabled Wireless Power Transfer: Trajectory Design and Energy Optimization

Jie Xu, Yong Zeng, Rui Zhang

This paper studies a new unmanned aerial vehicle (UAV)-enabled wireless power transfer (WPT) system, where a UAV-mounted mobile energy transmitter (ET) is dispatched to deliver wir…

cs.IT2017★ 110 cited

Wireless Powered Cooperative Jamming for Secure OFDM System

Guangchi Zhang, Jie Xu, Qingqing Wu +3

This paper studies the secrecy communication in an orthogonal frequency division multiplexing (OFDM) system, where a source sends confidential information to a destination in the p…

cs.IT2017★ 24 cited

Joint Offloading and Computing Optimization in Wireless Powered Mobile-Edge Computing Systems

Feng Wang, Jie Xu, Xin Wang +1

Mobile-edge computing (MEC) and wireless power transfer (WPT) have been recognized as promising techniques in the Internet of Things (IoT) era to provide massive low-power wireless…

cs.LG2017★ 4 cited

A Contextual Bandit Approach for Stream-Based Active Learning

Linqi Song, Jie Xu

Contextual bandit algorithms -- a class of multi-armed bandit algorithms that exploit the contextual information -- have been shown to be effective in solving sequential decision m…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.