Distribution Entropy Boosted VLAD for Image Retrieval. - Qiuzhan Zhou; Cheng Wang; Pingping Liu; Qingliang Li; Yeran Wang; Shuozhang Chen (Entropy, 2016)

Dynamic Response Analysis of Microflow Electrochemical Sensors with Two Types of Elastic Membrane. - Qiuzhan Zhou; Chunhui Wang; Yongzhi Chen; Shuozhang Chen; Jun Lin 003 (Sensors, 2016)

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)

Relative Distribution Entropy Loss Function in CNN Image Retrieval. - Pingping Liu; Lida Shi; Zhuang Miao; Baixin Jin; Qiuzhan Zhou (Entropy, 2020)

Deep Hash Remote Sensing Image Retrieval with Hard Probability Sampling. - Xue Shan; Pingping Liu; Guixia Gou; Qiuzhan Zhou; Zhen Wang (Remote. Sens., 2020)

Global Optimal Structured Embedding Learning for Remote Sensing Image Retrieval. - Pingping Liu; Guixia Gou; Xue Shan; Dan Tao; Qiuzhan Zhou (Sensors, 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)

Diabetic Retinal Grading Using Attention-Based Bilinear Convolutional Neural Network and Complement Cross Entropy. - Pingping Liu; Xiaokang Yang 010; Baixin Jin; Qiuzhan Zhou (Entropy, 2021)

Deep Hashing Using Proxy Loss on Remote Sensing Image Retrieval. - Xue Shan; Pingping Liu; Yifan Wang; Qiuzhan Zhou; Zhen Wang (Remote. Sens., 2021)

Adaptive Moving Ground-Target Detection Method Based on Seismic Signal. - Qiuzhan Zhou; Xinyi Yao; Cong Wang 035; Jikang Hu; Pingping Liu; Jun Lin 003 (IEEE Geosci. Remote. Sens. Lett., 2022)

Learnable dynamic margin in deep metric learning. - Yifan Wang; Pingping Liu; Yijun Lang; Qiuzhan Zhou; Xue Shan (Pattern Recognit., 2022)

Radio Resource Management for C-V2X Using Graph Matching and Actor-Critic Learning. - Qiuzhan Zhou; Chi Guo; Cong Wang 035; Lin Cui (IEEE Wirel. Commun. Lett., 2022)

Deep Hash Remote-Sensing Image Retrieval Assisted by Semantic Cues. - Pingping Liu; Zetong Liu; Xue Shan; Qiuzhan Zhou (Remote. Sens., 2022)

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)

Fine-grained classification of intracranial haemorrhage subtypes in head CT scans. - Pingping Liu; Gangjun Ning; Lida Shi; Qiuzhan Zhou; Xuan Chen (IET Comput. Vis., 2023)

Radio Resource Management for C-V2X: From a Hybrid Centralized-Distributed Scheme to a Distributed Scheme. - Chi Guo; Cong Wang 035; Lin Cui; Qiuzhan Zhou; Juan Li (IEEE J. Sel. Areas Commun., 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., 2023)

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)

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)

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., 2024)

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)

Dual-proxies contrast-focused loss in domain generalization. - Shihao Liu; Pingping Liu; Qiuzhan Zhou (Expert Syst. Appl., 2025)

A deep reinforcement learning framework for optimized dummy pad placement in PCB electroplating. - Qiuzhan Zhou; Yinggang Li; Cong Wang 035; Jingsong Wang (Expert Syst. Appl., 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)

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)

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)

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, 2025)

CWNet: Causal Wavelet Network for Low-Light Image Enhancement. - Tongshun Zhang; Pingping Liu; Yubing Lu; Mengen Cai; Zijian Zhang; Zhe Zhang; Qiuzhan Zhou (CoRR, 2025)

Beyond Illumination: Fine-Grained Detail Preservation in Extreme Dark Image Restoration. - Tongshun Zhang; Pingping Liu; Zixuan Zhong; Zijian Zhang; Qiuzhan Zhou (CoRR, 2025)

CIVQLLIE: Causal Intervention with Vector Quantization for Low-Light Image Enhancement. - Tongshun Zhang; Pingping Liu; Zhe Zhang; Qiuzhan Zhou (CoRR, 2025)

SPJFNet: Self-Mining Prior-Guided Joint Frequency Enhancement for Ultra-Efficient Dark Image Restoration. - Tongshun Zhang; Pingling Liu; Zijian Zhang; Qiuzhan Zhou (CoRR, 2025)

A Bi-Level Scheme for Mixed-Motive and Energy-Efficient Task Offloading in Vehicular Edge Computing Systems. - Chi Guo; Cong Wang 035; Qiuzhan Zhou; Juan Li (IEEE Trans. Netw. Serv. Manag., 2025)

Boostis:boosting image semi-supervised learning through pseudo-label quality assessment. - Pingping Liu; Pengfei Chen; Xiaofeng Liu; Qiuzhan Zhou (Pattern Anal. Appl., 2025)

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)

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)