◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Shi Jin

14 papers hereh-index 10353 citations16 works total

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

author position
  • middle author12
  • last author2

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • eess.SP5
  • cs.IT4
  • cs.AI2
  • cs.LG1
  • cs.NI1
  • eess.IV1
same name
  • Shi Jin — 107 papers, h 82
  • Shi Jin — 31 papers, h 49
  • Shi Jin — 30 papers, h 8
  • Shi Jin — 30 papers, h 10
  • Shi Jin — 22 papers, h 23
  • Shi Jin — 20 papers, h 8

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
20192026
most citedFast Adaptation for Deep Learning-based Wireless Communications

2 citations · 3 across the 11 of their papers we have counts for

collaborators
Showing eess.SPShow all

4 papers · 1 filter

eess.SP2025

SComCP: Task-Oriented Semantic Communication for Collaborative Perception

Jipeng Gan, Yucheng Sheng, Hua Zhang +4

Reliable detection of surrounding objects is critical for the safe operation of connected automated vehicles (CAVs). However, inherent limitations such as the restricted perception…

eess.SP2025

Hybrid Beamforming Design for Bistatic Integrated Sensing and Communication Systems

Tianhao Mao, Jie Yang, Le Liang +1

Integrated sensing and communication (ISAC) in millimeter wave is a key enabler for next-generation networks, which leverages large bandwidth and extensive antenna arrays, benefiti…

eess.SP2024

Meta-Learning Empowered Graph Neural Networks for Radio Resource Management

Kai Huang, Le Liang, Xinping Yi +3

In this paper, we consider a radio resource management (RRM) problem in the dynamic wireless networks, comprising multiple communication links that share the same spectrum resource…

eess.SP2019

Deep Learning for MIMO Channel Estimation: Interpretation, Performance, and Comparison

Hu Qiang, Gao Feifei, Zhang Hao +2

Deep learning (DL) has emerged as an effective tool for channel estimation in wireless communication systems, especially under some imperfect environments. However, even with such…

◍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.