🎓 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:   One paper about LLIE (Fourier & MoE) 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.

Arxiv 2025
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SPJFNet: Self-Mining Prior-Guided Joint Frequency Enhancement for Ultra-Efficient Dark Image Restoration [PDF] [Code]

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

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

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

Arxiv 2025
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Beyond Illumination: Fine-Grained Detail Preservation in Extreme Dark Image Restoration [PDF] [Code]

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

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

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

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

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

ACM MM 2024
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DMFourLLIE: Dual-Stage and Multi-Branch Fourier Network for Low-Light Image Enhancement [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


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)

🩺 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

🏆 Awards & Achievements

  • [09/2025] China FAW Group Scholarship (中国一汽奖学金,University-level)
  • [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] Graduate Outstanding Scholarship (研究生优秀奖学金)
  • [10/2024] Outstanding Graduate Students (优秀研究生)