Tongshun Zhang (张同顺)
Lecturer
School of Artificial Intelligence
Tiangong University
Email: bywl_zts@163.com
I received my Ph.D. degree from the College of Computer Science and Technology, Jilin University (09/2023–09/2026). I am currently working as a Lecturer in the School of Artificial Intelligence, Tiangong University. My primary research focuses on Low-Level Vision, particularly Low-Light Image Enhancement (LLIE). Feel free to contact me via email for collaborations or inquiries.
News
- 09/2026 Successfully passed my Ph.D. defense!
- 07/2026 1 paper accepted to INFFUS!
- 06/2026 2 papers accepted to IJCAI and TCSVT!
- 02/2026 3 papers accepted to ESWA, TGRS and KBS!
- 11/2025 2 papers accepted to AAAI 2026!
- 09/2025 2 papers accepted to ESWA!
- 07/2025 1 paper accepted to ICCV 2025!
- 06/2025 1 paper accepted to ESWA!
- 05/2025 1 paper accepted to INFFUS!
- 03/2025 1 paper accepted to ICME 2025 (Oral)!
- 07/2024 1 paper accepted to ACM MM 2024 (Oral)!
First-Author or Corresponding-Author Papers
Unifying Amplitude-Phase Couplingand Reliable Endogenous Priors for Low-Light Image Enhancement
Tongshun Zhang, Zixuan Zhong, Pingping Liu*, Jin Kuang, Yubing Lu, Dong Liu, Qiuzhan Zhou
IEEE Transactions on Multimedia (TMM) 2026 (SCI-1, CCF-A)
A Physically-Grounded Attack and Adaptive Defense Framework for Real-World Low-Light Image Enhancement
Tongshun Zhang, Pingping Liu*, Yuqing Lei, Zixuan Zhong, Qiuzhan Zhou, Zhiyuan Zha
Enhanced Fourier-based Network for Low-Light Image Enhancement
Tongshun Zhang, JiaQi Zhang, Pingping Liu*, Qiuzhan Zhou
Information Fusion (INFFUS) 2026 (SCI-1)
SPJFNet: Self-Mining Prior-Guided Joint Frequency Enhancement for Ultra-Efficient Dark Image Restoration
Tongshun Zhang, Pingping Liu*, Zijian Zhang, Qiuzhan Zhou
Beyond Illumination: Fine-Grained Detail Preservation in Extreme Dark Image Restoration
Tongshun Zhang, Pingping Liu*, Zixuan Zhong, Zijian Zhang, Qiuzhan Zhou
CIVQLLIE: Causal Intervention with Vector Quantization for Low-Light Image Enhancement
Tongshun Zhang, Pingping Liu*, Zhe Zhang, Qiuzhan Zhou
BSMamba: Brightness and Semantic Modeling for Long-Range Interaction in Low-Light Image Enhancement
Tongshun Zhang, Pingping Liu*, Mengen Cai, Zijian Zhang, Yubing Lu, Qiuzhan Zhou
CWNet: Causal Wavelet Network for Low-Light Image Enhancement
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
Tongshun Zhang, Pingping Liu*, Ming Zhao, Haotian Lv
Cross-modal guided and refinement-enhanced Retinex network for robust low-light image enhancement
Tongshun Zhang, Pingping Liu*, Mengen Cai, Xiaoyi Wang, Qiuzhan Zhou
APMoE-Net: Fourier Amplitude-Phase Joint Enhancement and MoE Compensation for Low-Light Image Enhancement
Mengen Cai, Tongshun Zhang†, Pingping Liu*, Qiuzhan Zhou
Co-Authored Papers
WCLINet: Wavelet-Guided Chrominance-Luminance Interaction via Cross Modulation for Low-Light Image Enhancement
Pingping Liu, Ming Yang, Tongshun Zhang, Qiuzhan Zhou, Aohua Li, Qingyi Xue
FreSH: Frequency-Segmented Hierarchical Multi-Expert Framework for Multivariate Time Series Classification
Pingping Liu, Muyao Wang, Zijian Zhang, Tongshun Zhang, Hao Miao, Guorui Xie, Qingliang Li, Qiuzhan Zhou
International Joint Conference on Artificial Intelligence (IJCAI) 2026 (CCF-B)
HyperISTD: Angular-Consistent Modeling in Hyperbolic Space for Infrared Small Target Detection
Yubing Lu, Pingping Liu*, Tongshun Zhang, Aohua Li, Qiuzhan Zhou
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2026 (SCI-1)
Synergistic Mamba: Mastering Global Frequency and Local Spatial Contexts for Low-light Image Enhancement
Shijun Fu, Pingping Liu*, Tongshun Zhang, Hongwei Zhao, Qiuzhan Zhou
Physics-Driven Feature Decoupling for Infrared Small Targets: A Dual Geometry-Guided Experts Network
Yubing Lu, Pingping Liu*, Tongshun Zhang, Aohua Li, Qiuzhan Zhou
PQGNet: Perceptual Query Guided Network for Infrared Small Target Detection
Pingping Liu*, Aohua Li, Yubing Lu, Tongshun Zhang, Ming Yang, Qiuzhan Zhou
SpineBench: A Clinically Salient, Level-Aware Benchmark Powered by the SpineMed-450k Corpus
Ming Zhao, Pingping Liu, Tongshun Zhang, et al.
Differentiable histogram-guided unsupervised Retinex enhancement for paired low-light images
Liyuan Yin, Pingping Liu*, Tongshun Zhang, Hongwei Zhao, Qiuzhan Zhou
Multi-modal fusion guided retinex-based low-light image enhancement
Pingping Liu*, Xiaoyi Wang, Tongshun Zhang, Liyuan Yin
ReF-LLE: Personalized Low-Light Enhancement via Reference-Guided Deep Reinforcement Learning
Ming Zhao, Pingping Liu*, Tongshun Zhang, Zhe Zhang
Adaptive illumination and noise-free detail recovery via visual decomposition for low-light image enhancement
Pingping Liu*, Tianqi Li, Qiuzhan Zhou, Tongshun Zhang
Reviewer
- Reviewer for: AAAI, ACM MM, TMM, TIP, ICML, NIPS, IJCAI, INFFUS, ESWA, KBS, PR, TCSVT, CVIU, IJCV, TNNLS, IET Image processing, SIVP
Awards & Achievements
- National Scholarship — 10/2025
- China FAW Group Scholarship — 09/2025
- 2024-2025 Graduate Outstanding Scholarship — 09/2025
- 2024-2025 Outstanding Graduate Student — 09/2025
- Invited Talk at Xiangnan University — 09/2025
- Academic Service: Valse 2025 Poster & JLU 2024 Report
- DMFourLLIE selected for poster presentation at Valse 2025 — 04/2025
- DMFourLLIE selected for Academic Research and Discussion report at Jilin University — 11/2024
- 2023-2024 Graduate Outstanding Scholarship — 10/2024
- 2023-2024 Outstanding Graduate Student — 10/2024