LabCompass

Zecheng Zhang

Computer Science · Purdue University West Lafayette

OpenAlex ORCID
Mid career · publishing since 2014Rising activity
Advanced Mathematical Modeling in EngineeringModel Reduction and Neural NetworksAdvanced Numerical Methods in Computational MathematicsNeural Networks and ApplicationsComposite Material Mechanics

Publications

82

Citations

679

Est. group size

~2

Recurring co-author estimate

Active years

13

Publishing since 2014

Research summary
AI-generated

This researcher works at the intersection of applied mathematics and machine learning, developing neural network methods (such as operator learning and diffusion models) for solving mathematical models like partial differential equations, and building benchmarks and agents for AI systems. The publication record also includes some collaborative work in genomics and biology-related computational analysis, suggesting involvement in interdisciplinary applications of computational methods.

Scientific machine learning and neural operatorsNumerical methods for differential equationsAI agents and benchmarks for language/vision modelsGraph and relational data learningComputational biology applications

Publication output grew substantially from 2019 through a 2024 peak, with a notable increase in the last five years before a decline in the most recent two years of data.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 11.2/year recently
17182019: 4 publications192020: 5 publications202021: 12 publications212022: 12 publications222023: 13 publications232024: 22 publications22242025: 7 publications252026: 2 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×35
  • Journal of Computational Physics×7
  • SSRN Electronic Journal×3
  • Research Square×3
  • Journal of Computational and Applied Mathematics×2
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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