Wenjian Hao
Physics and Astronomy · Purdue University West Lafayette
Publications
26
Citations
160
Est. group size
—
Recurring co-author estimate
Active years
7
Publishing since 2020
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.
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
- Accelerating Sampling-Based Control via Learned Linear Koopman Dynamics
Open MIND · 2026
- Accelerating Sampling-Based Control via Learned Linear Koopman Dynamics
arXiv (Cornell University) · 2026
- Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems
arXiv (Cornell University) · 2026
- Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems
arXiv (Cornell University) · 2026
- C3D: Cascade Control with Change Point Detection and Deep Koopman Learning for Autonomous Surface Vehicles
2024
- C3D: Cascade Control with Change Point Detection and Deep Koopman Learning for Autonomous Surface Vehicles
arXiv (Cornell University) · 2024
- Deep Koopman Learning using Noisy Data
arXiv (Cornell University) · 2024
- Distributed Koopman Learning with Incomplete Measurements
arXiv (Cornell University) · 2024
- Deep Koopman learning of nonlinear time-varying systems
Automatica · 2023
- Prognostic value of inflammatory markers for in-hospital mortality in intensive care patients with acute ischemic stroke: a retrospective observational study based on MIMIC-IV
Frontiers in Neurology · 2023
- Transcranial direct current stimulation for the treatment of post-stroke depression: A systematic review
Frontiers in Neurology · 2023
- A Data-Driven Approach for Inverse Optimal Control
2023
- A Data-Driven Approach for Inverse Optimal Control
arXiv (Cornell University) · 2023
- Optimal Control of Nonlinear Systems with Unknown Dynamics
arXiv (Cornell University) · 2023
- Deep Koopman Learning of Nonlinear Time-Varying Systems
arXiv (Cornell University) · 2022
- arXiv (Cornell University)×15
- Frontiers in Neurology×2
- Automatica×1
- AI Open×1
- Lecture notes in computer science×1
- Yuezhu Xu
Physics and Astronomy · Purdue University West Lafayette
- Debdipta Goswami
Physics and Astronomy · The Ohio State University
- Naxian Ni
Physics and Astronomy · Purdue University West Lafayette
- Xihaier Luo
Physics and Astronomy · The Ohio State University
- Amirhossein Mollaali
Physics and Astronomy · Purdue University West Lafayette
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.
Claim or correct this profile