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Xiaofeng Gao

22 papers hereh-index 314.4k citations345 works total

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

author position
  • middle author20
  • last author1

Across the 21 of 22 papers where every author was matched, so the position is known.

fields
  • cs.IR9
  • cs.LG5
  • cs.SI3
  • cs.DC2
  • cs.AI1
  • cs.DB1
same name
  • Xiaofeng Gao — 14 papers, h 10
  • Xiaofeng Gao — 6 papers, h 4
  • Xiaofeng Gao — 5 papers, h 3
  • Xiaofeng Gao — 4 papers, h 10
  • Xiaofeng Gao — 3 papers, h 3
  • Xiaofeng Gao — 2 papers, h 2

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
20172025
most citedDual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems

271 citations · 367 across the 22 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.IR2017

DancingLines: An Analytical Scheme to Depict Cross-Platform Event Popularity

Tianxiang Gao, Weiming Bao, Jinning Li +5

Nowadays, events usually burst and are propagated online through multiple modern media like social networks and search engines. There exists various research discussing the event d…

cs.LG2017

Accelerate RNN-based Training with Importance Sampling

Fei Wang, Xiaofeng Gao, Guihai Chen +1

Importance sampling (IS) as an elegant and efficient variance reduction (VR) technique for the acceleration of stochastic optimization problems has attracted many researches recent…

cs.IR2017

Which is better? A Modularized Evaluation for Topic Popularity Prediction

Yiming Zhang, Jiacheng Luo, Xiaofeng Gao +1

Topic popularity prediction in social networks has drawn much attention recently. Various elegant models have been proposed for this issue. However, different datasets and evaluati…

cs.DC2017

IS-ASGD: Accelerating Asynchronous SGD using Importance Sampling

Fei Wang, Jun Ye, Weichen Li +1

Variance reduction (VR) techniques for convergence rate acceleration of stochastic gradient descent (SGD) algorithm have been developed with great efforts recently. VR's two varian…

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