Jiale Lin
Computational Imaging, Inverse Problems, and Multimodal Perception
I am a second-year undergraduate student at Westlake University, working with the AI Physics Lab. My current work sits at Computational Imaging, AI for Science, and Image Generation.
My recent projects focus on Thermal-Infrared Hyperspectral Imaging, Heat Assisted Detection and Ranging, and physically grounded image restoration. I am especially interested in methods that connect image formation physics with practical learning systems.
Research Interests
- Computational Thermal Imaging and Long-Wave Infrared Hyperspectral Imaging
- HADAR, TeX Decomposition, and physically constrained inverse problems
Recent Work
- TeX-1500: A paired real-world LWIR hyperspectral dataset and benchmark for supervised HSI-to-TeX decomposition.
- HAIR: HADAR-based image restoration for Thermal-Infrared Hyperspectral imagery, combining sensor-aware restoration with thermal physics and atmospheric downwelling references.
- TAG: Thermal anti-ghosting work for material-nonuniform computational night vision and high-fidelity thermal perception.
News
| Jun 03, 2026 | Launched this academic homepage as a public entry point for Research Projects, Code, Datasets, and Publication Records. |
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| Jun 02, 2026 | TeX-1500 was released as a paired real-world LWIR Hyperspectral Dataset and benchmark for Temperature-Emissivity-Texture Decomposition. |
| May 13, 2026 | HAIR was released as a physics-driven framework for HADAR-Based Thermal Infrared Hyperspectral Image Restoration. |
| Apr 02, 2026 | TAG was released as a Universal Computational Thermal Imaging framework for addressing the ghosting effect in thermal perception. |
Selected Publications
- arXivTeX-1500: A Paired Real-World LWIR Hyperspectral Dataset and Benchmark for Temperature–Emissivity–Texture Decomposition*Equal Contribution, preprint , 2026