About Me
I am currently pursuing a Ph.D. in the College of Computer Science and Technology at Jilin University (09/2023–present), supervised by Professor Pingping Liu (刘萍萍). Previously, I obtained my M.S. degree from Tiangong University (09/2018–03/2021) under Professor Yuelong Li (李月龙) and served as an Algorithm Engineer at Uniview Technologies. (04/2021–06/2023).
My primary research focuses on Low-Level Vision, particularly Low-Light Image Enhancement (LLIE) (essential for robustness in real-world vision systems). I also actively investigate related areas including Other Image Enhancement Tasks, Domain Generalization, Contrastive Learning, and Metric Learning.
For collaborations or inquiries, please feel free to contact me via email.
News
- 09/2025: Two paper about LLIE (Fourier & MoE, Unsupervised Retinex-based) accepted to ESWA.
- 07/2025: One paper about LLIE (Causal Wavelet) accepted to ICCV 2025.
- 06/2025: One paper about LLIE (Multi-modal Fusion) accepted to ESWA.
- 05/2025: One paper about LLIE (Retinex) accepted to INFFUS.
- 03/2025: One paper about LLIE (Fourier & Reinforcement Learning) accepted to ICME 2025 (Oral).
- 07/2024: One paper about LLIE (Fourier) accepted to ACM MM 2024 (Oral).
Selected Publications
* and † denote a corresponding author and an equal-contribution author, respectively.
Cross-modal guided and refinement-enhanced Retinex network for robust low-light image enhancement (INFFUS IF=18.6), 2025 [PDF] [Code]
Tongshun Zhang, Pingping Liu*, Mengen Cai, Xiaoyi Wang, Qiuzhan Zhou
APMoE-Net: Fourier Amplitude-Phase Joint Enhancement and MoE Compensation for Low-Light lmage Enhancement (ESWA IF=8.5), 2025
Mengen Cai, Tongshun Zhang †, Pingping Liu*, Qiuzhan Zhou
Differentiable histogram-guided unsupervised Retinex enhancement for paired low-light images (ESWA IF=8.5), 2025 [Code]
Liyuan Yin, Pingping Liu*, Tongshun Zhang, Hongwei Zhao, Qiuzhan Zhou
WEC-DG: Multi-Exposure Wavelet Correction Method Guided by Degradation Description (Arxiv), 2025 [PDF]
Ming Zhao, Pingping Liu*, Tongshun Zhang, Zhe Zhang
ReF-LLE: Personalized Low-Light Enhancement via Reference-Guided Deep Reinforcement Learning (ICME Oral), 2025 [PDF]
Ming Zhao, Pingping Liu*, Tongshun Zhang, Zhe Zhang
Multi-modal fusion guided retinex-based low-light image enhancement (ESWA IF=8.5), 2025 [PDF]
Pingping Liu*, Xiaoyi Wang, Tongshun Zhang, Liyuan Yin
Adaptive illumination and noise-free detail recovery via visual decomposition for low-light image enhancement (CVIU IF=4.8), 2025
Pingping Liu*, Tianqi Li, Qiuzhan Zhou, Tongshun Zhang
Reviewer
- AAAI Conference on Artificial Intelligence (AAAI)
- ACM International Conference on Multimedia (ACM MM)
- IEEE Transactions on Multimedia (TMM)
- IEEE Transactions on Image Processing (TIP)
Patents
- 无监督曝光矫正的曝光偏差增强网络模型构建方法、系统 （CN120318103B）2025 刘萍萍;尹莉媛;张同顺;王晓艺;周求湛
- 一种低光图像增强方法、系统、设备以及存储介质 （CN119090751B）2025 刘萍萍;李天奇;周求湛;张同顺;卢禹冰
- 一种低光图像增强方法及系统 （CN119379551B）2025 刘萍萍;张同顺;蔡蒙恩;张哲;王晓艺;周求湛
- 一种低光图像增强方法、系统、设备以及存储介质 (CN120374475A) 2025 刘萍萍; 王晓艺; 张同顺; 尹莉媛; 周求湛; 侯建华
- 基于Retinex约束下的生成式结构低照度图像增强方法 (CN120495108A) 2025 周求湛;杨迪;武慧南;张同顺;王聪;刘萍萍
Awards & Achievements
- [10/2025] National Scholarship (国家奖学金)
- [09/2025] I was invited to give a lecture at Xiangnan University, focusing on lightweight reconstruction for low-light enhancement.
- [09/2025] 2024-2025 Graduate Outstanding Scholarship (研究生优秀奖学金)
- [09/2025] 2024-2025 Outstanding Graduate Students (优秀研究生)
- [09/2025] China FAW Group Scholarship (中国一汽奖学金)
- [04/2025] DMFourLLIE was selected for poster presentation at Valse 2025. Link
- [11/2024] DMFourLLIE was selected for the “Academic Research and Discussion (研学论道)” report at Jilin University.
- [10/2024] 2023-2024 Graduate Outstanding Scholarship (研究生优秀奖学金)
- [10/2024] 2023-2024 Outstanding Graduate Students (优秀研究生)