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YU Peng

Telecom Paris

11 papers hereh-index 468.8k citations590 works total

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

author position
  • first author4
  • middle author1
  • last author5

Across the 10 of 11 papers where every author was matched, so the position is known.

fields
  • cs.IR3
  • cs.LG3
  • physics.flu-dyn3
  • cs.AI1
  • cs.SI1
affiliations
  • Telecom Paris
same name
  • Yu Peng — 4 papers, h 4
  • Yu Peng — 2 papers, h 3
  • Yu Peng — 2 papers, h 2
  • Yu Peng — 2 papers, h 1
  • Yu Peng — 2 papers, h 2
  • Yu Peng — 1 paper, h 5

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
20132023
most citedMulti-View Graph Convolutional Network for Multimedia Recommendation

175 citations · 293 across the 11 of their papers we have counts for

collaborators
Showing physics.flu-dynShow all

3 papers · 1 filter

physics.flu-dyn2023

A Generalized Density Dissipation for Weakly-compressible SPH

Bo Xue Zheng, Zhi Wen Cai, Pei Dong Zhao +3

The weakly compressible Smoothed Particle Hydrodynamics (SPH) is known to suffer from the pressure oscillation, which would undermine the simulation stability and accuracy. To addr…

physics.flu-dyn2022

A machine learning based method to generate random packed isotropic porous media with desired porosity and permeability

Jianhui Li, Tingting Tang, Shimin Yu +1

Porous materials are used in many fields, including energy industry, agriculture, medical industry, etc. The generation of digital porous media facilitates the fabrication of real…

physics.flu-dyn2022★ 1 cited

The reconstructed thermal lattice Boltzmann flux solver and its applications for simulations of thermal flows

Jinhua Lu, Chuanshan Dai, Peng Yu

The thermal lattice Boltzmann flux solver (TLBFS) has been proposed to overcome the drawbacks of the thermal lattice Boltzmann models. However, as a weakly compressible model, its…

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