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.
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

  1. arXiv
    TeX-1500: A Paired Real-World LWIR Hyperspectral Dataset and Benchmark for Temperature–Emissivity–Texture Decomposition
    Cheng Dai*, Jiale Lin*, Hongyi Xu, Bingxuan Song, Ziyang Xie, and Fanglin Bao
    *Equal Contribution, preprint , 2026
  2. arXiv
    HADAR-Based Thermal Infrared Hyperspectral Image Restoration
    Cheng Dai*, Jiale Lin*, Bingxuan Song, Yifei Chen, Jiashuo Chen, Xin Yuan, and 1 more author
    *Equal Contribution, preprint , 2026
  3. arXiv
    Universal Computational Thermal Imaging Overcoming the Ghosting Effect
    Hongyi Xu, Du Wang, Chenjun Zhao, Jiashuo Chen, Jiale Lin, Liqin Cao, and 3 more authors
    preprint , 2026