Qiuzhan Zhou

According to our database, Qiuzhan Zhou authored at least 41 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

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

CoRR, March, 2026

A Guided Fusion Network based on Cross-Scale Semantic Alignment for multi-spectral object detection.

Hongtao Wu, Jing Rong, Qiuzhan Zhou, Di Yang, Weiqi Wang

Pattern Recognit., 2026

Physics-driven feature decoupling for infrared small targets: A dual geometry-guided experts network.

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

Knowl. Based Syst., 2026

Differentiable histogram-guided unsupervised Retinex enhancement for paired low-light images.

Liyuan Yin, Pingping Liu, Tongshun Zhang, Hongwei Zhao, Qiuzhan Zhou

Expert Syst. Appl., 2026

Synergistic mamba: Mastering global frequency and local spatial contexts for low-light image enhancement.

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

Expert Syst. Appl., 2026

APMoE-Net: Fourier amplitude-phase joint enhancement and MoE compensation for low-light image enhancement.

Mengen Cai, Tongshun Zhang, Pingping Liu, Qiuzhan Zhou

Expert Syst. Appl., 2026

UrbanMoE: A Sparse Multi-Modal Mixture-of-Experts Framework for Multi-Task Urban Region Profiling.

Pingping Liu, Jiamiao Liu, Zijian Zhang, Hao Miao, Qi Jiang, Qingliang Li, Qiuzhan Zhou, Irwin King

Proceedings of the ACM Web Conference 2026, 2026

Beyond Illumination: Fine-Grained Detail Preservation in Extreme Dark Image Restoration.

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

SPJFNet: Self-Mining Prior-Guided Joint Frequency Enhancement for Ultra-Efficient Dark Image Restoration.

Tongshun Zhang, Pingping Liu, Zijian Zhang, Qiuzhan Zhou

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Boostis:boosting image semi-supervised learning through pseudo-label quality assessment.

Pingping Liu, Pengfei Chen, Xiaofeng Liu, Qiuzhan Zhou

Pattern Anal. Appl., December, 2025

A Bi-Level Scheme for Mixed-Motive and Energy-Efficient Task Offloading in Vehicular Edge Computing Systems.

Chi Guo, Cong Wang, Qiuzhan Zhou, Juan Li

IEEE Trans. Netw. Serv. Manag., October, 2025

SPJFNet: Self-Mining Prior-Guided Joint Frequency Enhancement for Ultra-Efficient Dark Image Restoration.

Tongshun Zhang, Pingling Liu, Zijian Zhang, Qiuzhan Zhou

CoRR, August, 2025

CIVQLLIE: Causal Intervention with Vector Quantization for Low-Light Image Enhancement.

Tongshun Zhang, Pingping Liu, Zhe Zhang, Qiuzhan Zhou

CoRR, August, 2025

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

CoRR, June, 2025

LSDSSMs: Infrared Small Target Detection Network Based on Low-Rank Sparse Decomposition State-Space Models.

Yubing Lu, Pingping Liu, Aohua Li, Qiuzhan Zhou, Kai Zhang

IEEE Trans. Geosci. Remote. Sens., 2025

MCDGMatch: Multilevel Consistency Based on Data-Augmented Generalization for Remote Sensing Image Classification.

Pingping Liu, Xiaofeng Liu, Zetong Liu, Haodong Li, Qiuzhan Zhou

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Cross-modal guided and refinement-enhanced Retinex network for robust low-light image enhancement.

Tongshun Zhang, Pingping Liu, Mengen Cai, Xiaoyi Wang, Qiuzhan Zhou

Inf. Fusion, 2025

A deep reinforcement learning framework for optimized dummy pad placement in PCB electroplating.

Qiuzhan Zhou, Yinggang Li, Cong Wang, Jingsong Wang

Expert Syst. Appl., 2025

Dual-proxies contrast-focused loss in domain generalization.

Shihao Liu, Pingping Liu, Qiuzhan Zhou

Expert Syst. Appl., 2025

Adaptive illumination and noise-free detail recovery via visual decomposition for low-light image enhancement.

Tianqi Li, Pingping Liu, Qiuzhan Zhou, Tongshun Zhang

Comput. Vis. Image Underst., 2025

CWNet: Causal Wavelet Network for Low-Light Image Enhancement.

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Game-Theoretic Lane Change Decision-Making Method Considering Traffic Trend.

Xinghao Lu, Haiyan Zhao, Cheng Li, Wan Liu, Bingzhao Gao, Qiuzhan Zhou

IEEE Trans. Ind. Electron., November, 2024

RGAM: A refined global attention mechanism for medical image segmentation.

Gangjun Ning, Pingping Liu, Chuangye Dai, Mingsi Sun, Qiuzhan Zhou, Qingliang Li

IET Comput. Vis., 2024

Deep metric learning assisted by intra-variance in a semi-supervised view of learning.

Pingping Liu, Zetong Liu, Yijun Lang, Shihao Liu, Qiuzhan Zhou, Qingliang Li

Eng. Appl. Artif. Intell., 2024

2023

An Intra-Class Ranking Metric for Remote Sensing Image Retrieval.

Pingping Liu, Xiaofeng Liu, Yifan Wang, Zetong Liu, Qiuzhan Zhou, Qingliang Li

Remote. Sens., August, 2023

Radio Resource Management for C-V2X: From a Hybrid Centralized-Distributed Scheme to a Distributed Scheme.

Chi Guo, Cong Wang, Lin Cui, Qiuzhan Zhou, Juan Li

IEEE J. Sel. Areas Commun., April, 2023

Fine-grained classification of intracranial haemorrhage subtypes in head CT scans.

Pingping Liu, Gangjun Ning, Lida Shi, Qiuzhan Zhou, Xuan Chen

IET Comput. Vis., March, 2023

Deep Metric Learning Assisted by Intra-variance in A Semi-supervised View of Learning.

Pingping Liu, Zetong Liu, Yijun Lang, Qiuzhan Zhou, Qingliang Li

CoRR, 2023

2022

Deep Hash Remote-Sensing Image Retrieval Assisted by Semantic Cues.

Pingping Liu, Zetong Liu, Xue Shan, Qiuzhan Zhou

Remote. Sens., December, 2022

Radio Resource Management for C-V2X Using Graph Matching and Actor-Critic Learning.

Qiuzhan Zhou, Chi Guo, Cong Wang, Lin Cui

IEEE Wirel. Commun. Lett., 2022

Learnable dynamic margin in deep metric learning.

Yifan Wang, Pingping Liu, Yijun Lang, Qiuzhan Zhou, Xue Shan

Pattern Recognit., 2022

Adaptive Moving Ground-Target Detection Method Based on Seismic Signal.

Qiuzhan Zhou, Xinyi Yao, Cong Wang, Jikang Hu, Pingping Liu, Jun Lin

IEEE Geosci. Remote. Sens. Lett., 2022

2021

Deep Hashing Using Proxy Loss on Remote Sensing Image Retrieval.

Xue Shan, Pingping Liu, Yifan Wang, Qiuzhan Zhou, Zhen Wang

Remote. Sens., 2021

Diabetic Retinal Grading Using Attention-Based Bilinear Convolutional Neural Network and Complement Cross Entropy.

Pingping Liu, Xiaokang Yang, Baixin Jin, Qiuzhan Zhou

Entropy, 2021

2020

Inlet Effect Caused by Multichannel Structure for Molecular Electronic Transducer Based on a Turbulent-Laminar Flow Model.

Qiuzhan Zhou, Qi He, Yuzhu Chen, Xue Bao

Sensors, 2020

Global Optimal Structured Embedding Learning for Remote Sensing Image Retrieval.

Pingping Liu, Guixia Gou, Xue Shan, Dan Tao, Qiuzhan Zhou

Sensors, 2020

Deep Hash Remote Sensing Image Retrieval with Hard Probability Sampling.

Xue Shan, Pingping Liu, Guixia Gou, Qiuzhan Zhou, Zhen Wang

Remote. Sens., 2020

Relative Distribution Entropy Loss Function in CNN Image Retrieval.

Pingping Liu, Lida Shi, Zhuang Miao, Baixin Jin, Qiuzhan Zhou

Entropy, 2020

2019

Fusing Feature Distribution Entropy with R-MAC Features in Image Retrieval.

Pingping Liu, Guixia Gou, Huili Guo, Danyang Zhang, Hongwei Zhao, Qiuzhan Zhou

Entropy, 2019

2016

Dynamic Response Analysis of Microflow Electrochemical Sensors with Two Types of Elastic Membrane.

Qiuzhan Zhou, Chunhui Wang, Yongzhi Chen, Shuozhang Chen, Jun Lin

Sensors, 2016

Distribution Entropy Boosted VLAD for Image Retrieval.

Qiuzhan Zhou, Cheng Wang, Pingping Liu, Qingliang Li, Yeran Wang, Shuozhang Chen

Entropy, 2016