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Yong Li

41 papers hereh-index 7120.8k citations445 works total

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

author position
  • middle author27
  • last author11

Across the 38 of 41 papers where every author was matched, so the position is known.

fields
  • cs.NI18
  • cs.IR9
  • cs.CY6
  • cs.LG3
  • cs.SI2
  • eess.SP1
same name
  • Yong Li — 68 papers, h 32
  • Yong Li — 43 papers, h 9
  • Yong Li — 25 papers, h 6
  • Yong Li — 24 papers, h 19
  • Yong Li — 24 papers, h 20
  • Yong Li — 21 papers, h 12

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
20142023
most citedSoftware-Defined and Virtualized Future Mobile and Wireless Networks: A Survey

224 citations · 1.7k across the 40 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CY2021

Strategic COVID-19 vaccine distribution can simultaneously elevate social utility and equity

Lin Chen, Fengli Xu, Zhenyu Han +4

Balancing social utility and equity in distributing limited vaccines represents a critical policy concern for protecting against the prolonged COVID-19 pandemic. What is the nature…

cs.IR2021★ 132 cited

DGCN: Diversified Recommendation with Graph Convolutional Networks

Yu Zheng, Chen Gao, Liang Chen +2

These years much effort has been devoted to improving the accuracy or relevance of the recommendation system. Diversity, a crucial factor which measures the dissimilarity among the…

cs.IR2021★ 24 cited

Genetic Meta-Structure Search for Recommendation on Heterogeneous Information Network

Zhenyu Han, Fengli Xu, Jinghan Shi +4

In the past decade, the heterogeneous information network (HIN) has become an important methodology for modern recommender systems. To fully leverage its power, manually designed n…

q-bio.PE2021

Policy-Aware Mobility Model Explains the Growth of COVID-19 in Cities

Zhenyu Han, Fengli Xu, Yong Li +4

With the continued spread of coronavirus, the task of forecasting distinctive COVID-19 growth curves in different cities, which remain inadequately explained by standard epidemiolo…

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