Liming Chen
Computer Science · Purdue University West Lafayette
Publications
16
Citations
70
Est. group size
~1
Recurring co-author estimate
Active years
20
Publishing since 2006
Liming Chen works in computer vision and image processing, with a focus on applying deep learning to medical and optical imaging problems such as retinal disease screening, image quality assessment, and image super-resolution (enhancing low-resolution images). Related work also touches on optical hardware design (LED light collimation) and object trajectory prediction. This is a technical, methods-driven line of research combining machine learning with imaging applications.
Publication activity appears concentrated in the last three years (2023-2025), with no recorded output in the preceding years of the decade, suggesting a recent and growing focus in this area.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- PK-Net: A prior knowledge-driven dual-path network for enhanced glaucoma screening
Knowledge-Based Systems · 2025
- Dual-Task Optimization Method for Inverse Design of RGB Micro-LED Light Collimator
Nanomaterials · 2025
- Trajectory Prediction in Dynamic Object Tracking: A Critical Study
arXiv (Cornell University) · 2025
- Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution
arXiv (Cornell University) · 2025
- DFC-Net: a dual-path frequency-domain cross-attention fusion network for retinal image quality assessment
Biomedical Optics Express · 2024
- Optics and Lasers in Engineering×2
- arXiv (Cornell University)×2
- Knowledge-Based Systems×1
- Optics Letters×1
- Applied Optics×1
- Hong Zhao
Computer Science · Purdue University West Lafayette
- Song Zhang
Computer Science · Purdue University West Lafayette
- Yuchen Yang
Computer Science · Purdue University West Lafayette
- Xian Wang
Computer Science · Indiana University
- Wei‐Hung Su
Computer Science · The Ohio State University
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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