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Wenjian Hao

Physics and Astronomy · Purdue University West Lafayette

Early career · publishing since 2020Rising activity

Publications

26

Citations

160

Est. group size

Recurring co-author estimate

Active years

7

Publishing since 2020

Research summary
AI-generated

Wenjian Hao's research focuses on learning mathematical models of complex, nonlinear systems (like robots and autonomous vehicles) and using those models for control and decision-making. A recurring tool is 'Koopman theory,' a technique that approximates nonlinear system behavior with simpler linear representations, which is combined with deep learning and reinforcement learning to make control algorithms faster and more data-efficient.

Koopman operator theory and deep learning for dynamical systemsData-driven and learning-based control of nonlinear systemsReinforcement learning for roboticsModel reduction and system identificationAutonomous vehicle control

Publication output grew from none in the late 2010s to a peak of 7 in 2023, with continued activity (including preprints) through 2024–2026, suggesting an active and increasing research pace in recent years.

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

Publication cadence
Publications per year over the last 10 years — averaging 3.6/year recently
1718192020: 5 publications202021: 3 publications212022: 1 publication222023: 7 publications7232024: 5 publications242025: 1 publication252026: 4 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×15
  • Frontiers in Neurology×2
  • Automatica×1
  • AI Open×1
  • Lecture notes in computer science×1
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By research-topic overlap
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  • Xihaier Luo

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  • Amirhossein Mollaali

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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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