基于Lab色彩空间和色调映射的彩色图像增强算法 (Color Image Enhancement Algorithm Based on Lab Color Space and Tone Mapping). - Junhui Zhao; Yufeng Wu; Kunrong Hu; Bin Pu (计算机科学, 2018)

Reliability Assessment of Light-Emitting Diode Packages With Both Luminous Flux Response Surface Model and Spectral Power Distribution Method. - Wei Chen; Jiajie Fan; Cheng Qian 003; Bin Pu; Xuejun Fan; Guoqi Zhang (IEEE Access, 2019)

A transfer learning algorithm for automatic requirement model generation. - Yan Kang 003; Hao Li 021; Chenyang Lu 004; Bin Pu (J. Intell. Fuzzy Syst., 2019)

Research on massive ECG data in XGBoost. - Hao Li 021; Bin Pu; Yan Kang 003; Chen Yang Lu (J. Intell. Fuzzy Syst., 2019)

A Novel Mutual Fractional Grey Bernoulli Model With Differential Evolution Algorithm and Its Application in Education Investment Forecasting in China. - Wanli Xie; Bin Pu; Chunying Pei; Shin-Jye Lee; Yan Kang 003 (IEEE Access, 2020)

ED-ACNN: Novel attention convolutional neural network based on encoder-decoder framework for human traffic prediction. - Bin Pu; Yuan Liu 026; Ningbo Zhu; Kenli Li 001; Keqin Li 001 (Appl. Soft Comput., 2020)

Energy-Efficient Target Tracking With UASNs: A Consensus-Based Bayesian Approach. - Jing Yan 001; Haiyan Zhao; Bin Pu; Xiaoyuan Luo; Cailian Chen; Xinping Guan (IEEE Trans Autom. Sci. Eng., 2020)

Fetal cardiac cycle detection in multi-resource echocardiograms using hybrid classification framework. - Bin Pu; Ningbo Zhu; Kenli Li 001; Shengli Li 001 (Future Gener. Comput. Syst., 2021)

High-speed tracking with multi-templates correlation filters. - Bin Pu; Ke Xiang; Jiayu Ji; Xuanyin Wang (J. Electronic Imaging, 2021)

Automatic Fetal Ultrasound Standard Plane Recognition Based on Deep Learning and IIoT. - Bin Pu; Kenli Li 001; Shengli Li 001; Ningbo Zhu (IEEE Trans. Ind. Informatics, 2021)

MDAFF-Net: A Multi-scale Dual-attention Feature Fusion Model for Long-term Traffic Prediction. - Yan Kang 003; Siyu Xie; Bin Pu (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Random RotBoost: An Ensemble Classification Method Based on Rotation Forest and AdaBoost in Random Subsets and Its Application to Clinical Decision Support. - Shin-Jye Lee; Ching-Hsun Tseng; Hui-Yu Yang; Xin Jin 005; Qian Jiang; Bin Pu; Wei-Huan Hu; Duen-Ren Liu; Yang Huang 003; Na Zhao 006 (Entropy, 2022)

An ultrasound standard plane detection model of fetal head based on multi-task learning and hybrid knowledge graph. - Lei Zhao 013; Kenli Li 001; Bin Pu; Jianguo Chen 001; Shengli Li 001; Xiangke Liao (Future Gener. Comput. Syst., 2022)

MobileUNet-FPN: A Semantic Segmentation Model for Fetal Ultrasound Four-Chamber Segmentation in Edge Computing Environments. - Bin Pu; Yuhuan Lu; Jianguo Chen 001; Shengli Li 001; Ningbo Zhu; Wei Wei 006; Kenli Li 001 (IEEE J. Biomed. Health Informatics, 2022)

HWOA: an intelligent hybrid whale optimization algorithm for multi-objective task selection strategy in edge cloud computing system. - Yan Kang 003; Xuekun Yang; Bin Pu; Xiaokang Wang 001; Haining Wang 006; Yulong Xu; Puming Wang (World Wide Web, 2022)

6D Pose Estimation Method of Metal Parts for Robotic Grasping Based on Semantic-Level Line Matching. - Ze'an Liu; Zhenguo Wu; Bin Pu; Jixiang Tang; Xuanyin Wang (ICIRA (7), 2023)

Drogue Pose Estimation Based on Ultraviolet Camera and Asymmetric Markers. - Bin Pu; Zhenguo Wu; Riming Lou; Jing Lu; Ze'an Liu; Xuanyin Wang (ICIRA (1), 2023)

Vision Based Flame Detection Using Compressed Domain Motion Prediction and Multi-Feature Fusion. - Jixiang Tang; Jiangtao Chen; Xuanyin Wang; Bin Pu; Ze'an Liu (ICIRA (1), 2023)

Real-time Automatic M-mode Echocardiography Measurement with Panel Attention from Local-to-Global Pixels. - Ching-Hsun Tseng; Shao-Ju Chien; Po-Shen Wang; Shin-Jye Lee; Wei-Huan Hu; Bin Pu; Xiao-Jun Zeng (CoRR, 2023)

A Hybrid Two-Stage Teaching-Learning-Based Optimization Algorithm for Feature Selection in Bioinformatics. - Yan Kang 003; Haining Wang 006; Bin Pu; Liu Tao; Jianguo Chen 001; Philip S. Yu (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

HN-PPISP: a hybrid network based on MLP-Mixer for protein-protein interaction site prediction. - Yan Kang 003; Yulong Xu; Xinchao Wang; Bin Pu; Xuekun Yang; Yulong Rao; Jianguo Chen 001 (Briefings Bioinform., 2023)

TMHSCA: a novel hybrid two-stage mutation with a sine cosine algorithm for discounted {0-1} knapsack problems. - Yan Kang 003; Haining Wang 006; Bin Pu; Jiansong Liu; Shin-Jye Lee; Xuekun Yang; Liu Tao (Neural Comput. Appl., 2023)

Correction to: TMHSCA: a novel hybrid two-stage mutation with a sine cosine algorithm for discounted {0-1} knapsack problems. - Yan Kang 003; Haining Wang 006; Bin Pu; Jiansong Liu; Shin-Jye Lee; Xuekun Yang; Liu Tao (Neural Comput. Appl., 2023)

An end-to-end anti-shaking multi-focus image fusion approach. - Jiayu Ji; Feng Pan; Xuanyin Wang; Jixiang Tang; Ze'an Liu; Bin Pu (Image Vis. Comput., 2023)

Deep endpoints focusing network under geometric constraints for end-to-end biometric measurement in fetal ultrasound images. - Zhan Gao; Zean Tian; Bin Pu; Shengli Li 001; Kenli Li 001 (Comput. Biol. Medicine, 2023)

M3-UDA: A New Benchmark for Unsupervised Domain Adaptive Fetal Cardiac Structure Detection. - Bin Pu; Liwen Wang; Jiewen Yang; Guannan He; Xingbo Dong; Shengli Li 001; Ying Tan; Ming Chen; Zhe Jin; Kenli Li 001; Xiaomeng Li 001 (CVPR, 2024)

CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos. - Jiewen Yang; Yiqun Lin; Bin Pu; Jiarong Guo; Xiaowei Xu 004; Xiaomeng Li 001 (ECCV (23), 2024)

Unsupervised Domain Adaptation for Anatomical Structure Detection in Ultrasound Images. - Bin Pu; Xingguo Lv; Jiewen Yang; Guannan He; Xingbo Dong; Yiqun Lin; Shengli Li 001; Tan Ying; Fei Liu; Ming Chen; Zhe Jin; Kenli Li 001; et al. (ICML, 2024)

Boosting the Transferability of Adversarial Examples via Adaptive Attention and Gradient Purification Methods. - Liwen Wu; Lei Zhao; Bin Pu; Yi Zhao; Xin Jin 005; Shaowen Yao 001 (IJCNN, 2024)

Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding. - Jiewen Yang; Yiqun Lin; Bin Pu; Xiaomeng Li 001 (NeurIPS, 2024)

Learning Frequency and Structure in UDA for Medical Object Detection. - Liwen Wang; Xiaoyan Zhang; Guannan He; Ying Tan; Shengli Li 001; Bin Pu; Zhe Jin; Wen Sha; Xingbo Dong (PRCV (14), 2024)

Graph-enhanced ensembles of multi-scale structure perception deep architecture for fetal ultrasound plane recognition. - Zhan Gao; Guanghua Tan; Chunlian Wang; Jianxin Lin; Bin Pu; Shengli Li 001; Kenli Li 001 (Eng. Appl. Artif. Intell., 2024)

HICL: Hierarchical Intent Contrastive Learning for sequential recommendation. - Yan Kang 003; Yancong Yuan; Bin Pu; Yun Yang 003; Lei Zhao 013; Jing Guo (Expert Syst. Appl., 2024)

Boosting the Transferability of Ensemble Adversarial Attack via Stochastic Average Variance Descent. - Lei Zhao; Zhizhi Liu; Sixing Wu; Wei Chen; Liwen Wu; Bin Pu; Shaowen Yao 001 (IET Inf. Secur., 2024)

WireframePose: Monocular 6-D Pose Estimation of Metal Parts Based on Wireframe Extraction and Matching. - Ze'an Liu; Xuanyin Wang; Bin Pu; Jixiang Tang; Jiaqi Sun (IEEE Trans. Instrum. Meas., 2024)

A knowledge-interpretable multi-task learning framework for automated thyroid nodule diagnosis in ultrasound videos. - Xiangqiong Wu; Guanghua Tan; Hongxia Luo; Zhilun Chen; Bin Pu; Shengli Li 001; Kenli Li 001 (Medical Image Anal., 2024)

TransFSM: Fetal Anatomy Segmentation and Biometric Measurement in Ultrasound Images Using a Hybrid Transformer. - Lei Zhao 013; Guanghua Tan; Bin Pu; Qianghui Wu; Hongliang Ren 001; Kenli Li 001 (IEEE J. Biomed. Health Informatics, 2024)

MLMSeg: A multi-view learning model for ultrasound thyroid nodule segmentation. - Guanyuan Chen; Guanghua Tan; Mingxing Duan; Bin Pu; Hongxia Luo; Shengli Li 001; Kenli Li 001 (Comput. Biol. Medicine, 2024)

Siamese refine polar mask prediction network for visual tracking. - Bin Pu; Ke Xiang; Ze'an Liu; Xuanyin Wang (Signal Image Video Process., 2024)

A Fast Hybrid Feature Selection Method Based on Dynamic Clustering and Improved Particle Swarm Optimization for High-Dimensional Health Care Data. - Yan Kang 003; Luhan Peng; Jing Guo; Yuhuan Lu; Yun Yang 003; Baochen Fan; Bin Pu (IEEE Trans. Consumer Electron., 2024)

A Deep Graph Network with Multiple Similarity for User Clustering in Human-Computer Interaction. - Yan Kang 003; Bin Pu; Yongqi Kou; Yun Yang 003; Jianguo Chen 001; Khan Muhammad 001; Po Yang 001; Lida Xu; Mohammad Hijji (ACM Trans. Multim. Comput. Commun. Appl., 2024)

MVSTT: A Multiview Spatial-Temporal Transformer Network for Traffic-Flow Forecasting. - Bin Pu; Jiansong Liu; Yan Kang 003; Jianguo Chen 001; Philip S. Yu (IEEE Trans. Cybern., 2024)

HFSCCD: A Hybrid Neural Network for Fetal Standard Cardiac Cycle Detection in Ultrasound Videos. - Bin Pu; Kenli Li 001; Jianguo Chen 001; Yuhuan Lu; Qing Zeng 005; Jiewen Yang; Shengli Li 001 (IEEE J. Biomed. Health Informatics, 2024)

FARN: Fetal Anatomy Reasoning Network for Detection With Global Context Semantic and Local Topology Relationship. - Lei Zhao 013; Guanghua Tan; Qianghui Wu; Bin Pu; Hongliang Ren 001; Shengli Li 001; Kenli Li 001 (IEEE J. Biomed. Health Informatics, 2024)

A multi-label image classification method combining multi-stage image semantic information and label relevance. - Liwen Wu; Lei Zhao; Peigeng Tang; Bin Pu; Xin Jin 005; Yudong Zhang; Shaowen Yao 001 (Int. J. Mach. Learn. Cybern., 2024)

Real-Time Automatic M-Mode Echocardiography Measurement With Panel Attention. - Ching-Hsun Tseng; Shao-Ju Chien; Po-Shen Wang; Shin-Jye Lee; Bin Pu; Xiao-Jun Zeng (IEEE J. Biomed. Health Informatics, 2024)

MFISN: Modality Fuzzy Information Separation Network for Disease Classification. - Fengtao Nan; Bin Pu; Jiayi Pan; Yingchun Fan; Jiewen Yang; Xingbo Dong; Zhaozhao Xu; Shuihua Wang (IEEE Trans. Fuzzy Syst., 2024)

SKGC: A General Semantic-Level Knowledge Guided Classification Framework for Fetal Congenital Heart Disease. - Yuhuan Lu; Guanghua Tan; Bin Pu; Hang Wang; Bocheng Liang; Kenli Li 001; Jagath C. Rajapakse (IEEE J. Biomed. Health Informatics, 2024)

Leveraging Anatomical Consistency for Multi-Object Detection in Ultrasound Images via Source-free Unsupervised Domain Adaptation. - Bin Pu; Xingguo Lv; Jiewen Yang; Xingbo Dong; Yiqun Lin; Shengli Li 001; Kenli Li 001; Xiaomeng Li 001 (AAAI, 2025)

Anatomical Knowledge Mining and Matching for Semi-supervised Medical Multi-structure Detection. - Bin Pu; Liwen Wang; Jiewen Yang; Xingbo Dong; Benteng Ma; Zhuangzhuang Chen; Lei Zhao 013; Shengli Li 001; Kenli Li 001 (AAAI, 2025)

Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation. - Xingguo Lv; Xingbo Dong; Liwen Wang; Jiewen Yang; Lei Zhao 013; Bin Pu; Zhe Jin; Xuejun Li 001 (CVPR, 2025)

SAGCN: Self-adaptive Graph Convolutional Network for pneumonia detection. - Junding Sun; Jianxiang Xue; Zhaozhao Xu; Ningshu Li; Chaosheng Tang; Lei Zhao; Bin Pu; Eugene Yu-Dong Zhang (Biomed. Signal Process. Control., 2025)

ThyFusion: A lightweight attribute enhancement module for thyroid nodule diagnosis using gradient and frequency-domain awareness. - Guanyuan Chen; Ningbo Zhu; Jianxin Lin; Bin Pu; Hongxia Luo; Kenli Li 001 (Neurocomputing, 2025)

Anatomical structures detection using topological constraint knowledge in fetal ultrasound. - Juncheng Guo; Guanghua Tan; Jianxin Lin; Bin Pu; Xin Wen; Chunlian Wang; Shengli Li 001; Kenli Li 001 (Neurocomputing, 2025)

A rule-guided interpretable lightweight framework for fetal standard ultrasound plane capture and biometric measurement. - Jintang Li; Zhan Gao; Chunlian Wang; Bin Pu; Kenli Li 001 (Neurocomputing, 2025)

Divide and augment: Supervised domain adaptation via sample-wise feature fusion. - Zhuangzhuang Chen; Bin Pu; Lei Zhao 013; Jie He; Pengchen Liang (Inf. Fusion, 2025)

CertainTTA: Estimating uncertainty for test-time adaptation on medical image segmentation. - Xingbo Dong; Liwen Wang; Xingguo Lv; Xiaoyan Zhang; Hui Zhang 039; Bin Pu; Zhan Gao; Iman Yi Liao; Zhe Jin (Inf. Fusion, 2025)

LLM-DG: Leveraging large language model for enhanced disease prediction via inter-patient and intra-patient modeling. - Yan Kang 003; Mingjian Yang; Yue Peng; Jingwen Cai; Lei Zhao 013; Zhan Gao; Ningshu Li; Bin Pu (Inf. Fusion, 2025)

CGGL: A client-side generative gradient leakage attack with double diffusion prior. - Bin Pu; Zhizhi Liu; Liwen Wu; Kai Xu; Bocheng Liang; Ziyang He; Benteng Ma; Lei Zhao 013 (Inf. Fusion, 2025)

DGGI: Deep Generative Gradient Inversion with diffusion model. - Liwen Wu; Zhizhi Liu; Bin Pu; Kang Wei; Hangcheng Cao; Shaowen Yao 001 (Inf. Fusion, 2025)

A key instance-guided frame-to-video information fusion network for thyroid ultrasound video instance segmentation. - Guanyuan Chen; Ningbo Zhu; Bin Pu; Guanghua Tan; Hongxia Luo; Kenli Li 001 (Knowl. Based Syst., 2025)

TKR-FSOD: Fetal Anatomical Structure Few-Shot Detection Utilizing Topological Knowledge Reasoning. - Xi Li; Ying Tan; Bocheng Liang; Bin Pu; Jiewen Yang; Lei Zhao 013; Yanqing Kong; Lixian Yang; Rentie Zhang; Hao Li; Shengli Li 001 (IEEE J. Biomed. Health Informatics, 2025)

Topology-Aware Wavelet Mamba for Airway Structure Segmentation in Postoperative Recurrent Nasopharyngeal Carcinoma CT Scans. - Haishan Huang; Pengchen Liang; Naier Lin; Luxi Wang; Bin Pu; Jianguo Chen 001; Qing Chang 004; Xia Shen; Guo Ran (CoRR, 2025)

Vision Foundation Models in Medical Image Analysis: Advances and Challenges. - Pengchen Liang; Bin Pu; Haishan Huang; Yiwei Li; Hualiang Wang; Weibo Ma; Qing Chang 004 (CoRR, 2025)

Semantic Prior Distillation with Vision Foundation Model for Enhanced Rapid Bone Scintigraphy Image Restoration. - Pengchen Liang; Leijun Shi; Huiping Yao; Bin Pu; Jianguo Chen 001; Lei Zhao 013; Haishan Huang; Zhuangzhuang Chen; Zhaozhao Xu; Lite Xu; Qing Chang 004; Yiwei Li (CoRR, 2025)

Task-Specific Knowledge Distillation from the Vision Foundation Model for Enhanced Medical Image Segmentation. - Pengchen Liang; Haishan Huang; Bin Pu; Jianguo Chen 001; Xiang Hua; Jing Zhang; Weibo Ma; Zhuangzhuang Chen; Yiwei Li; Qing Chang 004 (CoRR, 2025)

DH-GAC: deep hierarchical context fusion network with modified geodesic active contour for multiple neurofibromatosis segmentation. - Xiangqiong Wu; Guanghua Tan; Bin Pu; Mingxing Duan; Wenli Cai (Neural Comput. Appl., 2025)

AI-Enabled Accurate Non-Invasive Assessment of Pulmonary Hypertension Progression via Multi-Modal Echocardiography. - Jiewen Yang; Taoran Huang; Shangwei Ding; Xiaowei Xu 004; Qinhua Zhao; Yong Jiang; Jiarong Guo; Bin Pu; Jiexuan Zheng; Caojin Zhang; Hongwen Fei; Xiaomeng Li 001 (CoRR, 2025)

Simple is what you need for efficient and accurate medical image segmentation. - Xiang Yu; Yayan Chen; Guannan He; Qing Zeng 005; Yue Qin; Meiling Liang; Dandan Luo; Yimei Liao; Zeyu Ren; Cheng Kang; Delong Yang; Bocheng Liang; et al. (CoRR, 2025)

Optical Flow-Enhanced Mamba U-Net for Cardiac Phase Detection in Ultrasound Videos. - Yuhuan Lu; Guanghua Tan; Bin Pu; Pak-Hei Yeung; Hang Wang; Shengli Li 001; Jagath C. Rajapakse; Kenli Li 001 (IEEE Trans. Medical Imaging, 2025)

MambaSAM: A Visual Mamba-Adapted SAM Framework for Medical Image Segmentation. - Pengchen Liang; Leijun Shi; Bin Pu; Renkai Wu; Jianguo Chen 001; Lixin Zhou; Lite Xu; Zhuangzhuang Chen; Qing Chang 004; Yiwei Li (IEEE J. Biomed. Health Informatics, 2025)

Domain-continual learning for multi-center anatomical detection via prompt-enhanced and densely-fused MedSAM. - Zhan Gao; Ling Huang 003; Qika Lin; Bin Pu; Kai He 001; Mengling Feng; Kenli Li 001 (Inf. Fusion, 2026)