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Shen Zhang

5 papers hereh-index 324 citations4 works total

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

author position
  • last author5

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • math.AP4
  • math.OC1
same name
  • Shen Zhang — 6 papers, h 5
  • Shen Zhang — 6 papers, h 3
  • Shen Zhang — 4 papers, h 8
  • Shen Zhang — 4 papers, h 6
  • Shen Zhang — 3 papers, h 4
  • Shen Zhang — 3 papers, h 4

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
20212025
most citedSimultaneous recoveries for semilinear parabolic systems

27 citations · 36 across the 5 of their papers we have counts for

collaborators
Showing math.APShow all

4 papers · 1 filter

math.AP2025

Inverse Problems for Mean Field Games

Hongyu Liu, Catharine W. K. Lo, Shen Zhang

In this book, we present a curated collection of existing results on inverse problems for Mean Field Games (MFGs), a cutting-edge and rapidly evolving field of research. Our aim is…

math.AP2024★ 7 cited

Decoding a mean field game by the Cauchy data around its unknown stationary states

Hongyu Liu, Catharine W. K. Lo, Shen Zhang

In recent years, mean field games (MFGs) have garnered considerable attention and emerged as a dynamic and actively researched field across various domains, including economics, so…

math.AP2024★ 2 cited

Inverse boundary problem for a mean field game system with probability density constraint

Hongyu Liu, Shen Zhang

By following the study in [24], we consider an inverse boundary problem for the mean field game system where a probability density constraint is enforced on the game agents. That i…

math.AP2021★ 27 cited

Simultaneous recoveries for semilinear parabolic systems

Yi-Hsuan Lin, Hongyu Liu, Xu Liu +1

In this paper, we study inverse boundary problems associated with semilinear parabolic systems in several scenarios where both the nonlinearities and the initial data can be unknow…

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