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

11/2025: Two paper about LLIE (Frequency Fusion, Frequency & Mamba) accepted to AAAI 2026.
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).

Publications

SPJFNet: Self-Mining Prior-Guided Joint Frequency Enhancement for Ultra-Efficient Dark Image Restoration (AAAI, Poster) 2026 [PDF] [Code]

Tongshun Zhang, Pingping Liu*, Zijian Zhang, Qiuzhan Zhou

CIVQLLIE: Causal Intervention with Vector Quantization for Low-Light Image Enhancement (Arxiv), 2025 [PDF] [Code]

Tongshun Zhang, Pingping Liu*, Zhe Zhang, Qiuzhan Zhou

Beyond Illumination: Fine-Grained Detail Preservation in Extreme Dark Image Restoration (AAAI, Poster) 2026 [PDF] [Code]

Tongshun Zhang, Pingping Liu*, Zixuan Zhong, Zijian Zhang, Qiuzhan Zhou

BSMamba: Brightness and Semantic Modeling for Long-Range Interaction in Low-Light Image Enhancement (Arxiv), 2025 [PDF] [Code]

Tongshun Zhang, Pingping Liu*, Mengen Cai, Zijian Zhang, Yubing Lu, Qiuzhan Zhou

CWNet: Causal Wavelet Network for Low-Light Image Enhancement (ICCV, Poster), 2025 [PDF] [Code]

Tongshun Zhang, Pingping Liu*, Yubing Lu, Mengen Cai, Zijian Zhang, Zhe Zhang, Qiuzhan Zhou

DMFourLLIE: Dual-Stage and Multi-Branch Fourier Network for Low-Light Image Enhancement (ACM MM, Oral), 2024 [PDF] [Code]

Tongshun Zhang, Pingping Liu*, Ming Zhao, Haotian Lv

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

Physics-Driven Feature Decoupling for Infrared Small Targets: A Dual Geometry-Guided Experts Network (KBS IF=8.8), 2025

Yubing Lu, Pingping Liu*, Tongshun Zhang, Aohua Li, Qiuzhan Zhou

Synergistic Mamba: Mastering Global Frequency and Local Spatial Contexts for Low-light image Enhancement (ESWA IF=8.5), 2025 [PDF] [Code]

Shijun Fu, Pingping Liu*, Tongshun Zhang, Hongwei Zhao, Qiuzhan Zhou

Differentiable histogram-guided unsupervised Retinex enhancement for paired low-light images (ESWA IF=8.5), 2025 [PDF] [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)
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
Computer Vision and Image Understanding (CVIU)
International Journal of Computer Vision (IJCV)

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)