Yupei Lin(林育培)

Yupei Lin(林育培)

Yupei Lin（林育培）

Education

  • B.S. Guangdong University of Technology (2018.6-2022.9)
    • School of Information Engineering
  • M.S. Guangdong University of Technology (2022.9-2025.6)
    • School of Information Engineering
    • Supervisor: Yukai Shi
  • Ph.D. Sun Yat-Sen University (2025.9-)
    • School of Computer Science and Engineering
    • Supervisor: Liang Lin

Honors

国家奖学金(2024-2025) 优秀毕业生(2025)

Work experience

  • The Chinese University of Hong Kong，Shenzhen (2022.06-2022.09)
    • Research Assistant
    • Duties included: Text to motion generation
    • Supervisor: Ruimao Zhang

Publication

*= co-first author

  • Scaling Up Single Image Dehazing Algorithm by Cross-Data Vision Alignment for Richer Representation Learning and Beyond
    Yukai Shi*, Zhipeng Weng*, Yupei Lin, Cidan Shi, Xiaojun Yang, Liang Lin
    IEEE Transactions on Instrumentation and Measurement(IEEE TIM) 2024 [PDF][Code]

  • Diff-Mosaic: Augmenting Realistic Representations in Infrared Small Target Detection via Diffusion Prior
    Yukai Shi*, Yupei Lin*, Pengxu Wei, Xiaoyu Xian, Tianshui Chen, Liang Lin
    IEEE Transactions on Geoscience and Remote Sensing (TGRS) 2024 [PDF][Code]

  • SIRST-5K: Exploring Massive Negatives Synthesis with Self-supervised Learning for Robust Infrared Small Target Detection
    Yahao Lu, Yupei Lin, Han Wu, Xiaoyu Xian, Yukai Shi, Liang Lin
    IEEE Transactions on Geoscience and Remote Sensing (TGRS) 2024 [PDF][Code]

  • Thermal infrared image colorization on nighttime driving scenes with spatially-correlated learning
    Lianpei Wu, Yukai Shi, Yupei Lin, Zhenwei Huang, Xiaoyu Xian
    Journal of Electronic Imaging 2024

  • MirrorDiffusion: Stabilizing Diffusion Process in Zero-shot Image Translation by Prompts Redescription and Beyond
    Yupei Lin, Xiaoyu Xian, Yukai Shi, Liang Lin
    IEEE Signal Processing Letters (IEEE SPL), 2023. [PDF][Project]

  • Exploring Negatives in Contrastive Learning for Unpaired Image-to-Image Translation
    Yupei Lin*, Sen Zhang*, Tianshui Chen, Yongyi Lu, Guangping Li, Yukai Shi
    ACM International Conference on Multimedia (ACM MM), 2022. [PDF][Code]