Stanley H. Chan
Computer Science · Purdue University West Lafayette
Publications
199
Citations
3,186
Est. group size
~11
Recurring co-author estimate
Active years
30
Publishing since 1997
Stanley H. Chan works on computational imaging, a field that combines optics, signal processing, and machine learning to reconstruct or improve images and video from imperfect or limited sensor data. Recent work spans single-photon LiDAR sensing, correcting distortions from atmospheric turbulence and lens imperfections, video and image generation using generative models (including diffusion models), and computational methods for designing optical systems like metalenses. Much of the research blends physics-based modeling with modern deep learning techniques to solve imaging problems in low-light, distorted, or physically constrained settings.
Publication output grew substantially from 2017 through a peak around 2023-2024, with a decline in 2025-2026 that may partly reflect incomplete recent-year data.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Diffusion Algorithm for Metalens Optical Aberration Correction
2026
- Geometric and Quantum Kernel Methods for Predicting Skeletal Muscle Outcomes in chronic obstructive pulmonary disease
arXiv (Cornell University) · 2026
- Geometric and Quantum Kernel Methods for Predicting Skeletal Muscle Outcomes in chronic obstructive pulmonary disease
ArXiv.org · 2026
- Pupil Design for Computational Wavefront Estimation
arXiv (Cornell University) · 2026
- Pupil Design for Computational Wavefront Estimation
arXiv (Cornell University) · 2026
- Real-Time Markov Modeling for Single-Photon LiDAR: 1000× Acceleration and Convergence Analysis
2026
- OptiWorld: Optimal Control for Video World Generation under Physical Constraints
arXiv (Cornell University) · 2026
- OptiWorld: Optimal Control for Video World Generation under Physical Constraints
arXiv (Cornell University) · 2026
- Generative Photography: Scene-Consistent Camera Control for Realistic Text-to-Image Synthesis
2025
- Learning Phase Distortion with Selective State Space Models for Video Turbulence Mitigation
2025
- Ultrafast High-Flux Single-Photon Lidar Simulator via Neural Mapping
2025
- Learning Phase Distortion with Selective State Space Models for Video Turbulence Mitigation
arXiv (Cornell University) · 2025
- Astrophotography Turbulence Mitigation Via Generative Models
2025
- Generative Personalized Blind Face Restoration Enhanced by Physical Identity
2025
- Quanta Diffusion
2025
- arXiv (Cornell University)×65
- IEEE Transactions on Computational Imaging×13
- Lecture notes in computer science×5
- IEEE Transactions on Image Processing×3
- IEEE Transactions on Electron Devices×2
- Yiheng Chi
Computer Science · Purdue University West Lafayette
- Yash Sanghvi
Computer Science · Purdue University West Lafayette
- Nicholas Chimitt
Computer Science · Purdue University West Lafayette
- Zhiyuan Mao
Computer Science · Purdue University West Lafayette
- Abhiram Gnanasambandam
Engineering · 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.
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