MFTACA: An Author Co-citation Analysis Method Combined with Metadata in Full Text. - Yi Bu 001; Binglu Wang; Win-Bin Huang; Shangkun Che (ISSI, 2017)

Share-housing allocation information service system based on Pareto optimality. - Yang Xu 022; Shuwen Liu 001; Binglu Wang; Tianyi Liu; Zhengnan Liu (SNPD, 2017)

Document- and Keyword-based Author Co-citation Analysis. - Binglu Wang; Yi Bu 001; Win-Bin Huang (Data Inf. Manag., 2018)

Research on Computational Intelligence in Medical Resource Allocation Based on Mass Customization. - Yang Xu 022; Shuwen Liu 001; Binglu Wang (J. Univers. Comput. Sci., 2018)

Using the appearance of citations in full text on author co-citation analysis. - Yi Bu 001; Binglu Wang; Win-Bin Huang; Shangkun Che; Yong Huang 008 (Scientometrics, 2018)

A quantitative exploration on reasons for citing articles from the perspective of cited authors. - Binglu Wang; Yi Bu 001; Yang Xu 022 (Scientometrics, 2018)

Analysis of Automation Systems and Virtual Reality Applications in Smart Libraries. - Yang Xu 022; Jiahong Li; Binglu Wang; Yi Bu 001; Changjiang Ji (ICIS, 2019)

Considering author sequence in all-author co-citation analysis. - Yi Bu 001; Binglu Wang; Zaida Chinchilla-Rodríguez; Cassidy R. Sugimoto; Yong Huang 008; Win-Bin Huang (Inf. Process. Manag., 2020)

LF-MAGNet: Learning Mutual Attention Guidance of Sub-Aperture Images for Light Field Image Super-Resolution. - Zijian Wang 007; Yao Lu 001; Yani Zhang; Haowei Lu 002; Shunzhou Wang; Binglu Wang (PRCV (3), 2021)

Learning Pixel-Adaptive Weights for Portrait Photo Retouching. - Binglu Wang; Chengzhe Lu; Dawei Yan; Yongqiang Zhao 001 (CoRR, 2021)

SODA: Weakly Supervised Temporal Action Localization Based on Astute Background Response and Self-Distillation Learning. - Tao Zhao 006; Junwei Han 001; Le Yang 008; Binglu Wang; Dingwen Zhang (Int. J. Comput. Vis., 2021)

PFWNet: Pretraining neural network via feature jigsaw puzzle for weakly-supervised temporal action localization. - Binglu Wang; Yongqiang Zhao 001; Yani Zhang (Neurocomputing, 2021)

I2Net: Mining intra-video and inter-video attention for temporal action localization. - Wei Zhang; Binglu Wang; Songhui Ma; Yani Zhang; Yongqiang Zhao 001 (Neurocomputing, 2021)

POLO: Learning Explicit Cross-Modality Fusion for Temporal Action Localization. - Binglu Wang; Le Yang 008; Yongqiang Zhao 001 (IEEE Signal Process. Lett., 2021)

Mosaic Convolution-Attention Network for Demosaicing Multispectral Filter Array Images. - Kai Feng; Yongqiang Zhao 001; Jonathan Cheung-Wai Chan; Seong G. Kong; Xun Zhang; Binglu Wang (IEEE Trans. Computational Imaging, 2021)

Hyperspectral and Multispectral Image Fusion via Graph Laplacian-Guided Coupled Tensor Decomposition. - Yuanyang Bu; Yongqiang Zhao 001; Jize Xue; Jonathan Cheung-Wai Chan; Seong G. Kong; Chen Yi; Jinhuan Wen; Binglu Wang (IEEE Trans. Geosci. Remote. Sens., 2021)

GaTector: A Unified Framework for Gaze Object Prediction. - Binglu Wang; Tao Hu; Baoshan Li; Xiaojuan Chen; Zhijie Zhang (CVPR, 2022)

Intelligent transportation systems design based on mass customization. - Yang Xu 022; Binglu Wang; Shuwen Liu 001; Yi Bu 001; Jun Wang; Ruijun Liu (J. Ambient Intell. Humaniz. Comput., 2022)

Exploring Sub-Action Granularity for Weakly Supervised Temporal Action Localization. - Binglu Wang; Xun Zhang; Yongqiang Zhao 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Multiple Instance Graph Learning for Weakly Supervised Remote Sensing Object Detection. - Binglu Wang; Yongqiang Zhao 001; Xuelong Li 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Multi-level Deep Learning Kalman Filter. - Shi Yan 005; Yan Liang 001; Binglu Wang (ICARM, 2023)

Densitytoken: Weakly-Supervised Crowd Counting with Density Classification. - Zaiyi Hu; Binglu Wang; Xuelong Li 001 (ICASSP, 2023)

Core: Cooperative Reconstruction for Multi-Agent Perception. - Binglu Wang; Lei Zhang 006; Zhaozhong Wang; Yongqiang Zhao 001; Tianfei Zhou (ICCV, 2023)

Cross-Spatial Pixel Integration and Cross-Stage Feature Fusion Based Transformer Network for Remote Sensing Image Super-Resolution. - Yuting Lu; Lingtong Min; Binglu Wang; Le Zheng; Xiaoxu Wang; Yongqiang Zhao 001; Teng Long (CoRR, 2023)

Can large language models provide useful feedback on research papers? A large-scale empirical analysis. - Weixin Liang; Yuhui Zhang; Hancheng Cao; Binglu Wang; Daisy Ding; Xinyu Yang 002; Kailas Vodrahalli; Siyu He; Daniel Scott Smith; Yian Yin; Daniel A. McFarland; James Zou 001 (CoRR, 2023)

PneumoLLM: Harnessing the Power of Large Language Model for Pneumoconiosis Diagnosis. - Meiyue Song; Zhihua Yu; Jiaxin Wang; Jiarui Wang; Yuting Lu; Baicun Li; Xiaoxu Wang; Qinghua Huang; Zhijun Li 001; Nikolaos I. Kanellakis; Jiangfeng Liu; Jing Wang; et al. (CoRR, 2023)

Cross-Spatial Pixel Integration and Cross-Stage Feature Fusion-Based Transformer Network for Remote Sensing Image Super-Resolution. - Yuting Lu; Lingtong Min; Binglu Wang; Le Zheng; Xiaoxu Wang; Yongqiang Zhao 001; Le Yang 008; Teng Long (IEEE Trans. Geosci. Remote. Sens., 2023)

Hybrid Attention-Based U-Shaped Network for Remote Sensing Image Super-Resolution. - Jiarui Wang; Binglu Wang; Xiaoxu Wang; Yongqiang Zhao 001; Teng Long (IEEE Trans. Geosci. Remote. Sens., 2023)

Joint Denoising-Demosaicking Network for Long-Wave Infrared Division-of-Focal-Plane Polarization Images With Mixed Noise Level Estimation. - Ning Li; Binglu Wang; François Goudail; Yongqiang Zhao 001; Quan Pan 001 (IEEE Trans. Image Process., 2023)

Prototype-Based Intent Perception. - Binglu Wang; Kang Yang; Yongqiang Zhao 001; Teng Long; Xuelong Li 001 (IEEE Trans. Multim., 2023)

YOLO-DCTI: Small Object Detection in Remote Sensing Base on Contextual Transformer Enhancement. - Lingtong Min; Ziman Fan; Qinyi Lv; Mohamed Reda; Linghao Shen; Binglu Wang (Remote. Sens., 2023)

Enhanced dynamic feature representation learning framework by Fourier transform for domain generalization. - Xin Wang; Qingjie Zhao; Changchun Zhang; Binglu Wang; Lei Wang; Wangwang Liu (Inf. Sci., 2023)

Learning pixel-adaptive weights for portrait photo retouching. - Binglu Wang; Chengzhe Lu; Dawei Yan; Yongqiang Zhao 001; Ning Li; Xuelong Li 001 (Pattern Recognit., 2023)

A Dual-Attention Deep Discriminative Domain Generalization Model for Hyperspectral Image Classification. - Qingjie Zhao; Xin Wang; Binglu Wang; Lei Wang; Wangwang Liu; Shanshan Li (Remote. Sens., 2023)

TransGOP: Transformer-Based Gaze Object Prediction. - Binglu Wang; Chenxi Guo; Yang Jin; Haisheng Xia; Nian Liu (AAAI, 2024)

Boosting Gaze Object Prediction via Pixel-Level Supervision from Vision Foundation Model. - Yang Jin; Lei Zhang 166; Shi Yan 005; Bin Fan 002; Binglu Wang (ECCV (69), 2024)

Vision-based Wearable Steering Assistance for People with Impaired Vision in Jogging. - Xiaotong Liu; Binglu Wang; Zhijun Li 001 (ICRA, 2024)

Chareption: Change-Aware Adaption Empowers Large Language Model for Effective Remote Sensing Image Change Captioning. - Changhe Wang; Ningyu He; Binglu Wang (PRCV (13), 2024)

LLMAction: Adapting Large Language Model for Long-Term Action Anticipation. - Binglu Wang; Yao Tian; Changhe Wang; Le Yang (PRCV (10), 2024)

Boosting Gaze Object Prediction via Pixel-level Supervision from Vision Foundation Model. - Yang Jin; Lei Zhang 006; Shi Yan 005; Bin Fan 002; Binglu Wang (CoRR, 2024)

DSLSM: Dual-kernel-induced statistic level set model for image segmentation. - Fan Zhang 070; Huiying Liu; Xiaojun Duan; Binglu Wang; Qing Cai; Huafeng Li; Junyu Dong; David Zhang 001 (Expert Syst. Appl., 2024)

Memory-biomimetic deep Bayesian filtering. - Shi Yan 005; Yan Liang 001; Le Zheng; Mingyang Fan; Binglu Wang (Inf. Fusion, 2024)

PneumoLLM: Harnessing the power of large language model for pneumoconiosis diagnosis. - Meiyue Song; Jiarui Wang; Zhihua Yu; Jiaxin Wang; Le Yang; Yuting Lu; Baicun Li; Xue Wang; Xiaoxu Wang; Qinghua Huang; Zhijun Li 001; Nikolaos I. Kanellakis; et al. (Medical Image Anal., 2024)

Scale-Aware Backprojection Transformer for Single Remote Sensing Image Super-Resolution. - Jinglei Hao; Wukai Li; Yuting Lu; Yang Jin; Yongqiang Zhao 001; Shunzhou Wang; Binglu Wang (IEEE Trans. Geosci. Remote. Sens., 2024)

Two-Stage Spatial-Frequency Joint Learning for Large-Factor Remote Sensing Image Super-Resolution. - Jiarui Wang; Yuting Lu; Shunzhou Wang; Binglu Wang; Xiaoxu Wang; Teng Long (IEEE Trans. Geosci. Remote. Sens., 2024)

Coarse-to-Fine Nutrition Prediction. - Binglu Wang; Tianci Bu; Zaiyi Hu; Le Yang 009; Yongqiang Zhao 001; Xuelong Li 001 (IEEE Trans. Multim., 2024)

Explainable Gated Bayesian Recurrent Neural Network for Non-Markov State Estimation. - Shi Yan 005; Yan Liang 001; Le Zheng; Mingyang Fan; Xiaoxu Wang; Binglu Wang (IEEE Trans. Signal Process., 2024)

LCH: fast RGB-D salient object detection on CPU via lightweight convolutional network with hybrid knowledge distillation. - Binglu Wang; Fan Zhang 070; Yongqiang Zhao 001 (Vis. Comput., 2024)

Temporal Action Localization in the Deep Learning Era: A Survey. - Binglu Wang; Yongqiang Zhao 001; Le Yang 008; Teng Long; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Enhanced Window-Based Self-Attention with Global and Multi-Scale Representations for Remote Sensing Image Super-Resolution. - Yuting Lu; Shunzhou Wang; Binglu Wang; Xin Zhang 093; Xiaoxu Wang; Yongqiang Zhao 001 (Remote. Sens., 2024)

Differential Feature Awareness Network Within Antagonistic Learning for Infrared-Visible Object Detection. - Ruiheng Zhang 001; Lu Li; Qi Zhang; Jin Zhang 021; Lixin Xu 001; Baomin Zhang; Binglu Wang (IEEE Trans. Circuits Syst. Video Technol., 2024)

U²PNet: An Unsupervised Underwater Image-Restoration Network Using Polarization. - Linghao Shen; Haisheng Xia; Xun Zhang; Yongqiang Zhao 001; Ning Li; Seong G. Kong; Binglu Wang; Zhijun Li 001 (IEEE Trans. Cybern., 2024)

BEVRefiner: Improving 3D Object Detection in Bird's-Eye-View via Dual Refinement. - Binglu Wang; Haowen Zheng; Lei Zhang 166; Nian Liu; Rao Muhammad Anwer; Hisham Cholakkal; Yongqiang Zhao 001; Zhijun Li 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Federated Feature Augmentation and Alignment. - Tianfei Zhou; Ye Yuan 001; Binglu Wang; Ender Konukoglu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance. - Dian Shao; Mingfei Shi; Shengda Xu; Haodong Chen; Yongle Huang; Binglu Wang (CVPR, 2025)

Radiologist-inspired Symmetric Local-Global Multi-Supervised Learning for early diagnosis of pneumoconiosis. - Jiarui Wang; Meiyue Song; Deng-Ping Fan; Xiaoxu Wang; Shaoting Zhang 001; Juntao Yang; Jiangfeng Liu; Chen Wang; Binglu Wang (Expert Syst. Appl., 2025)

Multi-Sensory Visual-Auditory Fusion of Wearable Navigation Assistance for People With Impaired Vision. - Yang Song; Zhijun Li 001; Guoxin Li; Binglu Wang; Min Zhu; Peng Shi 001 (IEEE Trans Autom. Sci. Eng., 2025)

CM-YOLO: Context Modulated Representation Learning for Ship Detection. - Lingtong Min; Feiyang Dou; Yani Zhang; Dian Shao; Li Li; Binglu Wang (IEEE Trans. Geosci. Remote. Sens., 2025)

Adaptive Fusion Learning for Compositional Zero-Shot Recognition. - Lingtong Min; Ziman Fan; Shunzhou Wang; Feiyang Dou; Xin Li 042; Binglu Wang (IEEE Trans. Multim., 2025)

Multimodal Large Models are Effective Action Anticipators. - Binglu Wang; Yao Tian; Shunzhou Wang; Le Yang 008 (IEEE Trans. Multim., 2025)

Multimodal Large Models Are Effective Action Anticipators. - Binglu Wang; Yao Tian; Shunzhou Wang; Le Yang (CoRR, 2025)

A Patch-Based Method for Underwater Image Enhancement With Denoising Diffusion Models. - Haisheng Xia; Binglei Bao; Fei Liao; Jintao Chen; Binglu Wang; Zhijun Li 001 (IEEE Trans. Cybern., 2025)

Collaborative Multimodal Fusion Network for Multiagent Perception. - Lei Zhang 166; Binglu Wang; Yongqiang Zhao 001; Yuan Yuan 006; Tianfei Zhou; Zhijun Li 001 (IEEE Trans. Cybern., 2025)

Perspective on Wearable Systems for Human Underwater Perceptual Enhancement. - Haisheng Xia; Fei Liao; Binglei Bao; Jintao Chen; Binglu Wang; Qinghua Huang; Zhijun Li 001 (IEEE Trans. Cybern., 2025)

Peer Review and the Diffusion of Ideas. - Binglu Wang; Zhengnan Ma; Dashun Wang; Brian Uzzi (CoRR, 2025)

Federated Cross-Incremental Self-Supervised Learning for Medical Image Segmentation. - Fan Zhang 070; Huiying Liu; Qing Cai; Chun-Mei Feng 001; Binglu Wang; Shanshan Wang 002; Junyu Dong; David Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Belief-Based Fuzzy and Imprecise Clustering for Arbitrary Data Distributions. - Zuo-wei Zhang 001; Zhun-ga Liu; Liang-Bo Ning 001; Hongpeng Tian; Binglu Wang (IEEE Trans. Fuzzy Syst., 2025)

Content and Relation Fuzzy Mitigation Framework for Intent Perception. - Wenxin Zhang 003; Hao Qi; Shutong Wang; Ziqi Lin; Binglu Wang (IEEE Trans. Fuzzy Syst., 2025)