Design and Analysis of the Three-Dimensional Bar Code. - Ningzhong Liu; Han Sun (CSSE (3), 2008)

Deconvolution of the Two-Dimensional Bar Code Based on Binary Constraint. - Ningzhong Liu; Han Sun (CSSE (1), 2008)

The build of n-Bits Binary Coding ICBP Ensemble System. - Qun Dai; Ningzhong Liu (Neurocomputing, 2011)

Alleviating the problem of local minima in Backpropagation through competitive learning. - Qun Dai; Ningzhong Liu (Neurocomputing, 2012)

Two-dimensional bar code out-of-focus deblurring via the Increment Constrained Least Squares filter. - Ningzhong Liu; Xingming Zheng; Han Sun; Xiaoyang Tan (Pattern Recognit. Lett., 2013)

Ensemble selection by GRASP. - Zhuan Liu; Qun Dai; Ningzhong Liu (Appl. Intell., 2014)

A Combination Method of Edge Detection and SVM Filtering for License Plate Extraction. - Huiping Gao; Ningzhong Liu; Zhengkang Zhao (ICIG (1), 2015)

A new reverse reduce-error ensemble pruning algorithm. - Qun Dai; Ting Zhang; Ningzhong Liu (Appl. Soft Comput., 2015)

Several novel evaluation measures for rank-based ensemble pruning with applications to time series prediction. - Zhongchen Ma; Qun Dai; Ningzhong Liu (Expert Syst. Appl., 2015)

Sparse Representation based Two-dimensional Bar Code Image Super-resolution. - Yiling Shen; Ningzhong Liu; Han Sun (KSII Trans. Internet Inf. Syst., 2017)

基于双伪随机变换和Feistel结构的轻量级分组密码VHF (VHF: A Lightweight Block Cipher Based on Dual Pseudo-random Transformation and Feistel Structure). - Xuejun Dai; Yuhua Huang; Ningzhong Liu (计算机科学, 2017)

基于Feistel结构的超轻量级分组密码算法(PFP) (Ultra-lightweight Block Cipher Algorithm (PFP) Based on Feistel Structure). - Yuhua Huang; Xuejun Dai; Yangyang Shi; Ningzhong Liu; Qingxi Zeng; Fei Su (计算机科学, 2017)

Incentivizing Verifiable Privacy-Protection Mechanisms for Offline Crowdsensing Applications. - Jiajun Sun; Ningzhong Liu (Sensors, 2017)

Frugal incentive mechanism in periodic mobile crowdsensing. - Jiajun Sun; Ningzhong Liu (Int. J. Commun. Syst., 2018)

QR codes blind deconvolution algorithm based on binary characteristic and L0 norm minimization. - Ningzhong Liu; Yanan Du; Ying Xu (Pattern Recognit. Lett., 2018)

Budget-constraint mechanism for incremental multi-labeling crowdsensing. - Jiajun Sun; Ningzhong Liu; Dianliang Wu (Telecommun. Syst., 2018)

Vehicle Detection in Aerial Images Based on Lightweight Deep Convolutional Network and Generative Adversarial Network. - Jiaquan Shen; Ningzhong Liu; Han Sun; Huiyu Zhou 001 (IEEE Access, 2019)

Vehicle Detection in Aerial Images Based on Hyper Feature Map in Deep Convolutional Network. - Jiaquan Shen; Ningzhong Liu; Han Sun; Xiaoli Tao; Qiangyi Li (KSII Trans. Internet Inf. Syst., 2019)

WFNet: A Wider and Finer Network for Salient Object Detection. - Jun Cen; Han Sun; Xinyi Chen; Ningzhong Liu; Dong Liang 008; Huiyu Zhou 001 (IEEE Access, 2020)

A Novel Semantics-Preserving Hashing for Fine-Grained Image Retrieval. - Han Sun; Yejia Fan; Jiaquan Shen; Ningzhong Liu; Dong Liang 008; Huiyu Zhou 001 (IEEE Access, 2020)

TIB-Net: Drone Detection Network With Tiny Iterative Backbone. - Han Sun; Jian Yang; Jiaquan Shen; Dong Liang 008; Ningzhong Liu; Huiyu Zhou 001 (IEEE Access, 2020)

Monitoring area coverage optimization algorithm based on nodes perceptual mathematical model in wireless sensor networks. - Qiangyi Li; Ningzhong Liu (Comput. Commun., 2020)

Defect detection of printed circuit board based on lightweight deep convolution network. - Jiaquan Shen; Ningzhong Liu; Han Sun (IET Image Process., 2020)

Deeper SSD: Simultaneous Up-sampling and Down-sampling for Drone Detection. - Han Sun; Wen Geng; Jiaquan Shen; Ningzhong Liu; Dong Liang 008; Huiyu Zhou 001 (KSII Trans. Internet Inf. Syst., 2020)

C2DAN: An Improved Deep Adaptation Network with Domain Confusion and Classifier Adaptation. - Han Sun; Xinyi Chen; Ling Wang 009; Dong Liang 008; Ningzhong Liu; Huiyu Zhou 001 (Sensors, 2020)

Dense Face Detection via High-level Context Mining. - Qixiang Geng; Dong Liang 008; Huiyu Zhou 001; Liyan Zhang 001; Han Sun; Ningzhong Liu (FG, 2021)

Nlkd: Using Coarse Annotations For Semantic Segmentation Based on Knowledge Distillation. - Dong Liang 008; Yun Du; Han Sun; Liyan Zhang 001; Ningzhong Liu; Mingqiang Wei (ICASSP, 2021)

Cross Scene Video Foreground Segmentation Via Co-Occurrence Probability Oriented Supervised and Unsupervised Model Interaction. - Dong Liang 008; Bin Kang; Xinyu Liu; Han Sun; Liyan Zhang 001; Ningzhong Liu (ICASSP, 2021)

Multi-scale Edge-Based U-Shape Network for Salient Object Detection. - Han Sun; Yetong Bian; Ningzhong Liu; Huiyu Zhou 001 (PRICAI (2), 2021)

Robust Ensembling Network for Unsupervised Domain Adaptation. - Han Sun; Lei Lin; Ningzhong Liu; Huiyu Zhou 001 (PRICAI (2), 2021)

A Multi-View Fusion Method via Tensor Learning and Gradient Descent for Image Features. - Laihang Yu; Dongyan Zhang 001; Ningzhong Liu; Wengang Zhou (IEEE Access, 2021)

Vehicle detection in aerial images based on lightweight deep convolutional network. - Jiaquan Shen; Ningzhong Liu; Han Sun (IET Image Process., 2021)

MPI: Multi-receptive and parallel integration for salient object detection. - Han Sun; Jun Cen; Ningzhong Liu; Dong Liang 008; Huiyu Zhou 001 (IET Image Process., 2021)

Self-paced active learning for deep CNNs via effective loss function. - Tianxiang Yin; Ningzhong Liu; Han Sun (Neurocomputing, 2021)

Weber's law based multi-level convolution correlation features for image retrieval. - Laihang Yu; Ningzhong Liu; Wengang Zhou; Shi Dong 001; Yu Fan; Khushnood Abbas (Multim. Tools Appl., 2021)

Nodes Deployment Algorithm Based on Data Fusion and Evidence Theory in Wireless Sensor Networks. - Qiangyi Li; Ningzhong Liu (Wirel. Pers. Commun., 2021)

Polycentric Clustering and Structural Regularization for Source-free Unsupervised Domain Adaptation. - Xinyu Guan; Han Sun; Ningzhong Liu; Huiyu Zhou 001 (BMVC, 2022)

Attention Guided Network for Salient Object Detection in Optical Remote Sensing Images. - Yuhan Lin; Han Sun; Ningzhong Liu; Yetong Bian; Jun Cen; Huiyu Zhou 001 (ICANN (1), 2022)

A lightweight multi-scale context network for salient object detection in optical remote sensing images. - Yuhan Lin; Han Sun; Ningzhong Liu; Yetong Bian; Jun Cen; Huiyu Zhou 001 (ICPR, 2022)

A Task-Aware Dual Similarity Network for Fine-Grained Few-Shot Learning. - Yan Qi; Han Sun; Ningzhong Liu; Huiyu Zhou 001 (PRICAI (3), 2022)

C2F-3DToothSeg: Coarse-to-fine 3D tooth segmentation via intuitive single clicks. - Xiaotong Jiang; Benlian Xu; Mingqiang Wei; Ke Wu; Siyuan Yang; Longgen Qian; Ningzhong Liu; Qingjin Peng (Comput. Graph., 2022)

Coverage optimization algorithm based on control nodes position in wireless sensor networks. - Qiangyi Li; Ningzhong Liu (Int. J. Commun. Syst., 2022)

Discriminative feature mining hashing for fine-grained image retrieval. - Wenxi Lang; Han Sun; Can Xu; Ningzhong Liu; Huiyu Zhou 001 (J. Vis. Commun. Image Represent., 2022)

Lightweight Deep Network With Context Information and Attention Mechanism for Vehicle Detection in Aerial Image. - Jiaquan Shen; Ningzhong Liu; Han Sun; Deguang Li; Yongxin Zhang (IEEE Geosci. Remote. Sens. Lett., 2022)

A Multiscale Feature Fusion Method for Automatic Detection of Eggs From Two Pomacea Spp. In UAV Aerial Images. - Yaxin Xu; Ningzhong Liu; Tianxiang Yin; Han Sun (IEEE Geosci. Remote. Sens. Lett., 2022)

An Anchor-Free Vehicle Detection Algorithm in Aerial Image Based on Context Information and Transformer. - Wangcheng Zhou; Jiaquan Shen; Ningzhong Liu; Shifeng Xia; Han Sun (IEEE Geosci. Remote. Sens. Lett., 2022)

Finger Vein Recognition Algorithm Based on Lightweight Deep Convolutional Neural Network. - Jiaquan Shen; Ningzhong Liu; Chenglu Xu; Han Sun; Yushun Xiao; Deguang Li; Yongxin Zhang (IEEE Trans. Instrum. Meas., 2022)

An Anchor-Free Lightweight Deep Convolutional Network for Vehicle Detection in Aerial Images. - Jiaquan Shen; Wangcheng Zhou; Ningzhong Liu; Han Sun; Deguang Li; Yongxin Zhang (IEEE Trans. Intell. Transp. Syst., 2022)

Multi-Classifier Adversarial Optimization for Active Learning. - Lin Geng; Ningzhong Liu; Jie Qin (AAAI, 2023)

A Simplified Student Network with Multi-teacher Feature Fusion for Industrial Defect Detection. - Mingjing Pei; Ningzhong Liu (ACPR (1), 2023)

Lifelong Scene Text Recognizer via Expert Modules. - Shifeng Xia; Lin Geng; Ningzhong Liu; Han Sun; Jie Qin (ACM Multimedia, 2023)

FGFusion: Fine-Grained Lidar-Camera Fusion for 3D Object Detection. - Zixuan Yin; Han Sun; Ningzhong Liu; Huiyu Zhou 001; Jiaquan Shen (PRCV (3), 2023)

SIDE: Self-supervised Intermediate Domain Exploration for Source-free Domain Adaptation. - Jiamei Liu; Han Sun; Yizhen Jia; Jie Qin; Huiyu Zhou 001; Ningzhong Liu (CoRR, 2023)

Graph-based discriminative features learning for fine-grained image retrieval. - Han Sun; Wenxi Lang; Can Xu; Ningzhong Liu; Huiyu Zhou 001 (Signal Process. Image Commun., 2023)

GADA-SegNet: gated attentive domain adaptation network for semantic segmentation of LiDAR point clouds. - Xin Kong; Shifeng Xia; Ningzhong Liu; Mingqiang Wei (Vis. Comput., 2023)

Scene text recognition based on two-stage attention and multi-branch feature fusion module. - Shifeng Xia; Jinqiao Kou; Ningzhong Liu; Tianxiang Yin (Appl. Intell., 2023)

Distortion diminishing with vulnerability filters pruning. - Hengyi Huang; Pingfan Wu; Shifeng Xia; Ningzhong Liu (Mach. Vis. Appl., 2023)

Self-Supervised Learning for Industrial Image Anomaly Detection by Simulating Anomalous Samples. - Mingjing Pei; Ningzhong Liu; Bing Zhao; Han Sun (Int. J. Comput. Intell. Syst., 2023)

BytetrackPro: Multi-Object Tracking with Extra Motion Cues Correction. - Yubo Chen 009; Hai Deng; Ningzhong Liu (ICAIE, 2024)

DecoratingFusion: A LiDAR-Camera Fusion Network with the Combination of Point-Level and Feature-Level Fusion. - Zixuan Yin; Han Sun; Ningzhong Liu; Huiyu Zhou 001; Jiaquan Shen (ICANN (2), 2024)

Uncertain region mining semi-supervised object detection. - Tianxiang Yin; Ningzhong Liu; Han Sun (Appl. Intell., 2024)

CPRNC: Channels pruning via reverse neuron crowding for model compression. - Pingfan Wu; Hengyi Huang; Han Sun; Dong Liang 008; Ningzhong Liu (Comput. Vis. Image Underst., 2024)

An Instrument Indication Acquisition Algorithm Based on Lightweight Deep Convolutional Neural Network and Hybrid Attention Fine-Grained Features. - Jiaquan Shen; Ningzhong Liu; Han Sun; Deguang Li; Yongxin Zhang (IEEE Trans. Instrum. Meas., 2024)

Degradation-Aware Self-Attention Based Transformer for Blind Image Super-Resolution. - Qingguo Liu; Pan Gao 001; Kang Han; Ningzhong Liu; Wei Xiang 001 (IEEE Trans. Multim., 2024)

Regional filtering distillation for object detection. - Pingfan Wu; Jiayu Zhang; Han Sun; Ningzhong Liu (Mach. Vis. Appl., 2024)

Robust anomaly detection in industrial images by blending global-local features. - Mingjing Pei; Ningzhong Liu; Shifeng Xia (Expert Syst. J. Knowl. Eng., 2024)

Gated filter pruning via sample manifold relationships. - Pingfan Wu; Hengyi Huang; Han Sun; Ningzhong Liu (Appl. Intell., 2024)

Towards Cost-Effective Learning: A Synergy of Semi-Supervised and Active Learning. - Tianxiang Yin; Ningzhong Liu; Han Sun (CVPR, 2025)

Active Learning for Long-Tailed Annotation. - Lin Geng; Ningzhong Liu; Han Sun; Jie Qin (ICASSP, 2025)

Boosting active learning via re-aligned feature space. - Tianxiang Yin; Ningzhong Liu; Han Sun; Shifeng Xia (Knowl. Based Syst., 2025)

Energy-based pseudo-label refining for source-free domain adaptation. - Xinru Meng; Han Sun; Jiamei Liu; Ningzhong Liu; Huiyu Zhou 001 (Pattern Recognit. Lett., 2025)

Promoting Automatic Detection of Road Damage: A High-Resolution Dataset, a New Approach, and a New Evaluation Criterion. - Tianxiang Yin; Wei Zhang; Jinqiao Kou; Ningzhong Liu (IEEE Trans Autom. Sci. Eng., 2025)

B2Net: Camouflaged Object Detection via Boundary Aware and Boundary Fusion. - Junmin Cai; Han Sun; Ningzhong Liu (CoRR, 2025)

SPARNet: Continual Test-Time Adaptation via Sample Partitioning Strategy and Anti-Forgetting Regularization. - Xinru Meng; Han Sun; Jiamei Liu; Ningzhong Liu; Huiyu Zhou 001 (CoRR, 2025)

Improving Image Anomaly Localization: A Multi-branch and Skip Connection Framework. - Mingjing Pei; Ningzhong Liu; Xiaoyang Tan; Xiancun Zhou; Yadong Yang; Shifeng Xia (Circuits Syst. Signal Process., 2025)

Evaluating the Interactions between class overlap and class imbalance for software defect prediction. - Ya Zhang; Ningzhong Liu; Yu Zhao; Jun Fan; Lina Gong (Expert Syst. Appl., 2026)