Distributed Key Establishment Scheme in Wireless Sensor Network. - Hongwei Zhao; Shihui Pei; Pingping Liu (SNPD (2), 2007)

Research on Image Retrieval Based on Color and Shape Features. - Hongwei Zhao; Xiao Chen; Wei Huang; Pingping Liu; Lingjiao Ma (ICICA (LNCS), 2012)

An Improved Common Vulnerability Scoring System Based on K-means. - Pingping Liu; Zhihong Tian; Xu Wu; Wei Liu (ISCTCS, 2013)

Hierarchical Geometry Verification via Maximum Entropy Saliency in Image Retrieval. - Hongwei Zhao; Qingliang Li; Pingping Liu (Entropy, 2014)

Development and Challenges of Crowdsourcing Quality of Experience Evaluation for Multimedia. - Zhenji Wang; Dan Tao; Pingping Liu (BigCom, 2015)

A Robust Image Tampering Detection Method Based on Maximum Entropy Criteria. - Bo Zhao 005; Guihe Qin; Pingping Liu (Entropy, 2015)

The ordinal relation preserving binary codes. - Hongwei Zhao; Zhen Wang 024; Pingping Liu (Pattern Recognit., 2015)

ELM based approximate dynamic cycle matching for homogeneous symmetric Pub/Sub system. - Botao Wang; Pingping Liu; Guoren Wang; Xiangguo Zhao (World Wide Web, 2015)

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

A fast binary encoding mechanism for approximate nearest neighbor search. - Hongwei Zhao; Zhen Wang 024; Pingping Liu; Bin Wu (Neurocomputing, 2016)

Norms of Valence and Arousal for 2, 076 Chinese 4-Character Words. - Pingping Liu; Minglei Li 001; Qin Lu 001; Buxin Han (PACLING, 2017)

The Normalized Distance Preserving Binary Codes and Distance Table. - Hongwei Zhao; Zhen Wang 024; Pingping Liu; Bin Wu (J. Inf. Sci. Eng., 2017)

Adding spatial distribution clue to aggregated vector in image retrieval. - Pingping Liu; Zhuang Miao; Huili Guo; Yeran Wang; Ni Ai (EURASIP J. Image Video Process., 2018)

EHPSO: An Enhanced Hybrid Particle Swarm Optimization Algorithm for Internet of Things. - Dashe Li; Dapeng Cheng; Jihong Qin; Shue Liu; Pingping Liu (Int. J. Online Eng., 2018)

Multiple Mittag-Leffler stability of fractional-order competitive neural networks with Gaussian activation functions. - Pingping Liu; Xiaobing Nie; Jinling Liang; Jinde Cao (Neural Networks, 2018)

A Blockchain Smart Contract Based on Light- Weighted Quantum Blind Signature. - Zhengying Cai; Jing Qu; Pingping Liu; Jiao Yu (IEEE Access, 2019)

Fast Context-Adaptive Bit-Depth Enhancement via Linear Interpolation. - Jing Liu 002; Bing Yang 003; Yuting Su 001; Pingping Liu (IEEE Access, 2019)

Distribution Structure Learning Loss (DSLL) Based on Deep Metric Learning for Image Retrieval. - Lili Fan; Hongwei Zhao; Haoyu Zhao; Pingping Liu; Huangshui Hu (Entropy, 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)

Image Retrieval Based on Learning to Rank and Multiple Loss. - Lili Fan; Hongwei Zhao; Haoyu Zhao; Pingping Liu; Huangshui Hu (ISPRS Int. J. Geo Inf., 2019)

基于放射组学特征的胃肠道间质瘤的分类预测 (Prediction of Malignant and Benign Gastrointestinal Stromal Tumors Based on Radiomics Feature). - Pingping Liu; Wenhua Zhang; Zhentai Lu; Tao Chen; Guoxin Li (计算机科学, 2019)

Spatiotemporal Symmetric Convolutional Neural Network for Video Bit-Depth Enhancement. - Jing Liu 002; Pingping Liu; Yuting Su 001; Peiguang Jing; Xiaokang Yang 001 (IEEE Trans. Multim., 2019)

Top Position Sensitive Ordinal Relation Preserving Bitwise Weight for Image Retrieval. - Zhen Wang 024; Fu-Zhen Sun; Long-Bo Zhang; Lei Wang; Pingping Liu (Algorithms, 2020)

Minimal residual ordinal loss hashing with an adaptive optimization mechanism. - Zhen Wang 024; Fu-Zhen Sun; Long-Bo Zhang; Pingping Liu (EURASIP J. Image Video Process., 2020)

Optic Disc Segmentation Using Attention-Based U-Net and the Improved Cross-Entropy Convolutional Neural Network. - Baixin Jin; Pingping Liu; Peng Wang; Lida Shi; Jing Zhao (Entropy, 2020)

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)

Parametric matched filter based on interference iteration. - Jie Lin; Chaoshu Jiang; Pingping Liu (Digit. Signal Process., 2021)

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)

Toward Improving Image Retrieval via Global Saliency Weighted Feature. - Hongwei Zhao; Jiaxin Wu; Danyang Zhang; Pingping Liu (ISPRS Int. J. Geo Inf., 2021)

Exact coexistence and locally asymptotic stability of multiple equilibria for fractional-order delayed Hopfield neural networks with Gaussian activation function. - Xiaobing Nie; Pingping Liu; Jinling Liang; Jinde Cao (Neural Networks, 2021)

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

Deep Learning Triplet Ordinal Relation Preserving Binary Code for Remote Sensing Image Retrieval Task. - Zhen Wang; Nannan Wu; Xiaohan Yang; Bingqi Yan; Pingping Liu (Remote. Sens., 2021)

Multiproxies Adaptive Distribution Loss with Weakly Supervised Feature Aggregation for Fine-Grained Retrieval. - Hongwei Zhao; Danyang Zhang; Jiaxin Wu; Pingping Liu (Sci. Program., 2021)

Mixed Use of Structural Particles Inhibits Cognitive Processes in Chinese Reading: Evidences from Eye Movements. - Yu Gao; Chenxi Wang; Pingping Liu; Buxin Han (BIC, 2022)

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)

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

Crude oil price forecasting base on an EEMD and multi-scale time series analysis combination methods. - Ke Huang; Yin Luo; LiFei Ke; Jianwen Qin; Pingping Liu (IEEE Big Data, 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)

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)

Feature pyramid with attention fusion for edge discontinuity classification. - Mingsi Sun; Hongwei Zhao; Pingping Liu; Jianhang Zhou (Mach. Vis. Appl., 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)

Real-time performance analysis of network buffer under multi-core scheduling platform. - Pingping Liu; Jiaxing Lu; Shujuan Huang; Ping Lu; Jianguo Wang (Multim. Tools Appl., 2023)

DMFourLLIE: Dual-Stage and Multi-Branch Fourier Network for Low-Light Image Enhancement. - Tongshun Zhang; Pingping Liu; Ming Zhao; Haotian Lv (ACM Multimedia, 2024)

US-Net: U-shaped network with Convolutional Attention Mechanism for ultrasound medical images. - Xiaoyu Xie; Pingping Liu; Yijun Lang; Zhenjie Guo; Zhongxi Yang; Yuhao Zhao (Comput. Graph., 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)

LandBench 1.0: A benchmark dataset and evaluation metrics for data-driven land surface variables prediction. - Qinglian Li; Cheng Zhang; Wei Shangguan; Zhongwang Wei; Hua Yuan; Jinlong Zhu; Xiaoning Li; Lu Li; Gan Li; Pingping Liu; Yongjiu Dai (Expert Syst. Appl., 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)

New reinforcement learning based on representation transfer for portfolio management. - Wen Jiang; Mengyang Liu; Mingyan Xu; Shuoru Chen; Kai Shi; Pingping Liu; Caiming Zhang; Feng Zhao (Knowl. Based Syst., 2024)

A multi-task mean teacher with two stage decoder for semi-supervised crack detection. - Mingsi Sun; Hongwei Zhao; Pingping Liu; Jianhang Zhou (Multim. Tools Appl., 2024)

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

Multi-modal fusion guided retinex-based low-light image enhancement. - Pingping Liu; Xiaoyi Wang; Tongshun Zhang; Liyuan Yin (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)

Changes in white matter predict efficacy of repetitive transcranial magnetic stimulation in Parkinson's disease. - Jinying Han; Lingling Lv; Xin Chen; Mengqi Wang; Lili Hu; Fengbo Xing; Pingping Liu; Liuzhenxiong Yu; Ziye Zhao; Jinmei Sun; Tingting Liu; Jingjing Cheng; et al. (NeuroImage, 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)

Architecture and sustainability assessment of cable multi-state monitoring system driven by green computing. - Zhimin Yin; Yuntu Jiang; Jun Lai; Lingping Yue; Guoqiang Wu; Pingping Liu; Pengbo Li (Sustain. Comput. Informatics Syst., 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)

ReF-LLE: Personalized Low-Light Enhancement via Reference-Guided Deep Reinforcement Learning. - Ming Zhao; Pingping Liu; Tongshun Zhang; Zhe Zhang (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)

Personalized similarity regression models based on maximum correntropy criterion for stock series prediction. - Feng Zhao; Mengyang Liu; Yating Gao; Xiaoyan Qiao; Shiyu Ge; Pingping Liu; Yong Zhang (Knowl. Inf. Syst., 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)

WEC-DG: Multi-Exposure Wavelet Correction Method Guided by Degradation Description. - Ming Zhao; Pingping Liu; Tongshun Zhang; Zhe Zhang (CoRR, 2025)