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researcher

Qi Meng

31 papers hereh-index 2017.3k citations56 works total

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

author position
  • first author5
  • middle author23
  • last author1

Across the 29 of 31 papers where every author was matched, so the position is known.

fields
  • cs.LG19
  • stat.ML6
  • cond-mat.quant-gas1
  • cs.CE1
  • cs.CL1
  • cs.DS1
same name
  • Qi Meng — 8 papers, h 6
  • Qi Meng — 7 papers, h 2
  • Qi Meng — 7 papers, h 2
  • Qi Meng — 3 papers, h 3
  • Qi Meng — 2 papers, h 2
  • Qi Meng — 1 paper, h 1

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
20162023
most citedR-Drop: Regularized Dropout for Neural Networks

306 citations · 817 across the 31 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.LG2022★ 3 cited

Provable Adaptivity of Adam under Non-uniform Smoothness

Bohan Wang, Yushun Zhang, Huishuai Zhang +6

Adam is widely adopted in practical applications due to its fast convergence. However, its theoretical analysis is still far from satisfactory. Existing convergence analyses for Ad…

physics.flu-dyn2022

Deep Random Vortex Method for Simulation and Inference of Navier-Stokes Equations

Rui Zhang, Peiyan Hu, Qi Meng +5

Navier-Stokes equations are significant partial differential equations that describe the motion of fluids such as liquids and air. Due to the importance of Navier-Stokes equations,…

cs.LG2022★ 8 cited

Neural Operator with Regularity Structure for Modeling Dynamics Driven by SPDEs

Peiyan Hu, Qi Meng, Bingguang Chen +6

Stochastic partial differential equations (SPDEs) are significant tools for modeling dynamics in many areas including atmospheric sciences and physics. Neural Operators, generation…

hep-ph2022★ 121 cited

An Efficient Lorentz Equivariant Graph Neural Network for Jet Tagging

Shiqi Gong, Qi Meng, Jue Zhang +6

Deep learning methods have been increasingly adopted to study jets in particle physics. Since symmetry-preserving behavior has been shown to be an important factor for improving th…

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