🏠 About Me

I am currently pursuing a Ph.D. in the College of Computer Science and Technology at Jilin University (09/2023–present). My primary research focuses on Low-Level Vision, particularly Low-Light Image Enhancement (LLIE) (essential for robustness in real-world vision systems). For collaborations or inquiries, please feel free to contact me via email.

📧 tszhang23@mails.jlu.edu.cn or bywl_zts@163.com

📢 News

Jul 2026 1 paper accepted to INFFUS!
Jun 2026 2 papers accepted to IJCAI and TCSVT!
Feb 2026 3 papers accepted to ESWA, TGRS and KBS!
Nov 2025 2 papers accepted to AAAI 2026!
Sep 2025 2 papers accepted to ESWA!
Jul 2025 1 paper accepted to ICCV 2025!
Jun 2025 1 paper accepted to ESWA!
May 2025 1 paper accepted to INFFUS!
Mar 2025 1 paper accepted to ICME 2025 (Oral)!
Jul 2024 1 paper accepted to ACM MM 2024 (Oral)!

📄 First-Author Papers

A Physically-Grounded Attack and Adaptive Defense Framework for Real-World Low-Light Image Enhancement
arXiv 2026 Tongshun Zhang, Pingping Liu*, Yuqing Lei, Zixuan Zhong, Qiuzhan Zhou, Zhiyuan Zha
[PDF] [Code]
Enhanced Fourier‑based Network for Low‑Light Image Enhancement
INFFUS 2026 SCI-1 (IF 18.6) Tongshun Zhang, JiaQi Zhang, Pingping Liu*, Qiuzhan Zhou
[PDF]
SPJFNet: Self-Mining Prior-Guided Joint Frequency Enhancement for Ultra-Efficient Dark Image Restoration
AAAI 2026 CCF-A Tongshun Zhang, Pingping Liu*, Zijian Zhang, Qiuzhan Zhou
[PDF] [Code]
Beyond Illumination: Fine-Grained Detail Preservation in Extreme Dark Image Restoration
AAAI 2026 CCF-A Tongshun Zhang, Pingping Liu*, Zixuan Zhong, Zijian Zhang, Qiuzhan Zhou
[PDF] [Code]
CIVQLLIE: Causal Intervention with Vector Quantization for Low-Light Image Enhancement
arXiv 2025 Tongshun Zhang, Pingping Liu*, Zhe Zhang, Qiuzhan Zhou
[PDF] [Code]
BSMamba: Brightness and Semantic Modeling for Long-Range Interaction in Low-Light Image Enhancement
arXiv 2025 Tongshun Zhang, Pingping Liu*, Mengen Cai, Zijian Zhang, Yubing Lu, Qiuzhan Zhou
[PDF] [Code]
CWNet: Causal Wavelet Network for Low-Light Image Enhancement
ICCV 2025 CCF-A Tongshun Zhang, Pingping Liu*, Yubing Lu, Mengen Cai, Zijian Zhang, Zhe Zhang, Qiuzhan Zhou
[PDF] [Code]
DMFourLLIE: Dual-Stage and Multi-Branch Fourier Network for Low-Light Image Enhancement
ACM MM 2024 CCF-A Tongshun Zhang, Pingping Liu*, Ming Zhao, Haotian Lv
[PDF] [Code]
Cross-modal guided and refinement-enhanced Retinex network for robust low-light image enhancement
INFFUS 2025 SCI-1 (IF 18.6) Tongshun Zhang, Pingping Liu*, Mengen Cai, Xiaoyi Wang, Qiuzhan Zhou
[PDF] [Code]
APMoE-Net: Fourier Amplitude-Phase Joint Enhancement and MoE Compensation for Low-Light Image Enhancement
ESWA 2025 SCI-1 (IF 8.5) Mengen Cai, Tongshun Zhang †, Pingping Liu*, Qiuzhan Zhou
[PDF] [Code]

📑 Co-Authored Papers

FreSH: Frequency-Segmented Hierarchical Multi-Expert Framework for Multivariate Time Series Classification
IJCAI 2026 CCF-B Pingping Liu, Muyao Wang, Zijian Zhang, Tongshun Zhang, Hao Miao, Guorui Xie, Qingliang Li, Qiuzhan Zhou
[PDF]
HyperISTD: Angular-Consistent Modeling in Hyperbolic Space for Infrared Small Target Detection
TCSVT 2026 SCI-1 (IF 11.1) Yubing Lu, Pingping Liu*, Tongshun Zhang, Aohua Li, Qiuzhan Zhou
[PDF]
Synergistic Mamba: Mastering Global Frequency and Local Spatial Contexts for Low-light Image Enhancement
ESWA 2026 SCI-1 (IF 8.5) Shijun Fu, Pingping Liu*, Tongshun Zhang, Hongwei Zhao, Qiuzhan Zhou
[PDF] [Code]
Physics-Driven Feature Decoupling for Infrared Small Targets: A Dual Geometry-Guided Experts Network
KBS 2026 SCI-1 (IF 8.8) Yubing Lu, Pingping Liu*, Tongshun Zhang, Aohua Li, Qiuzhan Zhou
[PDF]
PQGNet: Perceptual Query Guided Network for Infrared Small Target Detection
TGRS 2026 SCI-1 (IF 8.6） Pingping Liu*, Aohua Li, Yubing Lu, Tongshun Zhang, Ming Yang, Qiuzhan Zhou
[PDF]
SpineBench: A Clinically Salient, Level-Aware Benchmark Powered by the SpineMed-450k Corpus
ICLR 2026 CCF-A Ming Zhao, Pingping Liu, Tongshun Zhang, et al.
[PDF]
Differentiable histogram-guided unsupervised Retinex enhancement for paired low-light images
ESWA 2025 SCI-1 (IF 8.5) Liyuan Yin, Pingping Liu*, Tongshun Zhang, Hongwei Zhao, Qiuzhan Zhou
[PDF] [Code]
Multi-modal fusion guided retinex-based low-light image enhancement
ESWA 2025 SCI-1 (IF 8.5) Pingping Liu*, Xiaoyi Wang, Tongshun Zhang, Liyuan Yin
[PDF]
WEC-DG: Multi-Exposure Wavelet Correction Method Guided by Degradation Description
arXiv 2025 Ming Zhao, Pingping Liu*, Tongshun Zhang, Zhe Zhang
[PDF]
ReF-LLE: Personalized Low-Light Enhancement via Reference-Guided Deep Reinforcement Learning
ICME 2025 CCF-B Ming Zhao, Pingping Liu*, Tongshun Zhang, Zhe Zhang
[PDF]
Adaptive illumination and noise-free detail recovery via visual decomposition for low-light image enhancement
CVIU 2025 CCF-B (IF 3.6) Pingping Liu*, Tianqi Li, Qiuzhan Zhou, Tongshun Zhang
[PDF]

✉️ Reviewer & Service

💡 Patents

Method and System for Constructing Exposure Bias Enhancement Network Model for Unsupervised Exposure Correction
CN120318103B · 2025
Low-Light Image Enhancement Method, System, Device and Storage Medium
CN119090751B · 2025
Low-Light Image Enhancement Method and System
CN119379551B · 2025
Low-Light Image Enhancement Method, System, Device and Storage Medium
CN120374475A · 2025
Generative Low-Illumination Image Enhancement Method Based on Retinex Constraints
CN120495108A · 2025

🏆 Awards & Achievements

🏅 National Scholarship — Oct 2025
🎤 Invited Lecture at Xiangnan University on lightweight low-light enhancement — Sep 2025
🥇 2024-2025 Graduate Outstanding Scholarship — Sep 2025
🌟 2024-2025 Outstanding Graduate Student — Sep 2025
🚗 China FAW Group Scholarship — Sep 2025
📌 DMFourLLIE selected for poster presentation at Valse 2025 — Apr 2025
📖 DMFourLLIE selected for Academic Research and Discussion report at Jilin University — Nov 2024
🎓 2023-2024 Graduate Outstanding Scholarship — Oct 2024
✨ 2023-2024 Outstanding Graduate Student — Oct 2024