Bingrong Xu

According to our database, Bingrong Xu authored at least 45 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

PowerDiffuser: Collaborative Contrastive-Reconstruction Self-Supervised Learning for Robust Power Load Signal Representation.

Honggang Yang, Cheng Lian, Bingrong Xu, Ruijin Ding, Zhigang Zeng

IEEE Trans. Ind. Informatics, February, 2026

CLIP-SENet: CLIP-Based Semantic Enhancement Network for Vehicle Re-Identification.

Liping Lu, Zihao Fu, Duanfeng Chu, Wei Wang, Bingrong Xu

IEEE Trans. Intell. Transp. Syst., January, 2026

A Physics and Data Co-Driven Approach for Heterogeneous Vehicle Platoon Control With Incomplete Dynamics.

Jianhua Yin, Bingrong Xu, Yi He, Chaozhong Wu, Lingxi Li

IEEE Trans Autom. Sci. Eng., 2026

Decoupled self-supervised deep multi-task learning framework for subscriber portrait in smart meter.

Honggang Yang, Cheng Lian, Bingrong Xu, Yilin Chen, Pengbo Zhao, Zhigang Zeng

Pattern Recognit., 2026

DGSSformer : Dynamically global-aware spatiotemporal synchronous transformer for traffic prediction.

Qingyong Zhang, Qian Shang, Quan Zhou, Mengpeng Yang, Bingrong Xu, Zhihui Yang

Expert Syst. Appl., 2026

A data-driven spatio-temporal driving risk field mechanism for path planning.

Zhuoer Wang, Baohan Shi, Jianping Zhang, Xiaowen Zhu, Jian Zhou, Bingrong Xu, Bijun Li

Expert Syst. Appl., 2026

2025

Self-Supervised Latent Feature-Guided Multi-Step Diffusion Model for Electricity Theft Detection With Imbalanced and Missing Data.

Honggang Yang, Cheng Lian, Bingrong Xu, Ruijin Ding, Pengbo Zhao, Zhigang Zeng

IEEE Trans. Smart Grid, May, 2025

Generative Mixup Networks for Zero-Shot Learning.

Bingrong Xu, Zhigang Zeng, Cheng Lian, Zhengming Ding

IEEE Trans. Neural Networks Learn. Syst., March, 2025

Multiscale Global Prompt Transformer for EEG-Based Driver Fatigue Recognition.

Pengbo Zhao, Cheng Lian, Bingrong Xu, Zhigang Zeng

IEEE Trans Autom. Sci. Eng., 2025

Bimodal Masked Autoencoders with internal representation connections for electrocardiogram classification.

Yufeng Wei, Cheng Lian, Bingrong Xu, Pengbo Zhao, Honggang Yang, Zhigang Zeng

Pattern Recognit., 2025

Large Language Model-assisted multi-scale hierarchical classification of ECG signals.

Qianjiang Chen, Cheng Lian, Bingrong Xu, Quan Zhou, Yixin Su, Zhigang Zeng

Knowl. Based Syst., 2025

STD-DETR: A Multi-scale Feature Fusion Network Based on RT-DETR for Small Object Detection.

Zhenlin Cao, Jie Luo, Bingrong Xu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024

Low-Rank Optimal Transport for Robust Domain Adaptation.

Bingrong Xu, Jianhua Yin, Cheng Lian, Yixin Su, Zhigang Zeng

IEEE CAA J. Autom. Sinica, July, 2024

Lightweight PCB defect detection algorithm based on MSD-YOLO.

Guoao Zhou, Lijuan Yu, Yixin Su, Bingrong Xu, Guoyuan Zhou

Clust. Comput., June, 2024

Masked self-supervised ECG representation learning via multiview information bottleneck.

Shunxiang Yang, Cheng Lian, Zhigang Zeng, Bingrong Xu, Yixin Su, Chenyang Xue

Neural Comput. Appl., May, 2024

Cardiac signals classification via optional multimodal multiscale receptive fields CNN-enhanced Transformer.

Tian Zhang, Cheng Lian, Bingrong Xu, Yixin Su, Zhigang Zeng

Knowl. Based Syst., 2024

PSGformer: A novel multivariate net load forecasting model for the smart grid.

Qingyong Zhang, Shiyang Zhou, Bingrong Xu, Zhanwei Shen, Wanfeng Chang

J. Comput. Sci., 2024

Information balance network for multiscale object detection in remote sensing imagery.

Bin Wen, Jun Zhang, Yanjun Shen, Bingrong Xu

J. Electronic Imaging, 2024

12-Lead ECG signal classification for detecting ECG arrhythmia via an information bottleneck-based multi-scale network.

Siyuan Zhang, Cheng Lian, Bingrong Xu, Yixin Su, Adi Alhudhaif

Inf. Sci., 2024

TCAMS-Trans: Efficient temporal-channel attention multi-scale transformer for net load forecasting.

Qingyong Zhang, Shiyang Zhou, Bingrong Xu, Xinran Li

Comput. Electr. Eng., 2024

A MIL-based framework via contrastive instance learning and multimodal learning for long-term ECG classification.

Haozhan Han, Cheng Lian, Bingrong Xu, Zhigang Zeng, Adi Alhudhaif, Kemal Polat

Appl. Soft Comput., 2024

A Fourier Transform Framework for Domain Adaptation.

Le Luo, Bingrong Xu, Qingyong Zhang, Cheng Lian, Jie Luo

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Motion Planning Integrated with Vehicle-Terrain Interactions for Off-Road Autonomous Ground Vehicles.

Jianhua Yin, Xianyuan Zhan, Tianying Ji, Bingrong Xu, Yi He, Daqing Zhang, Lingxi Li

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

A Multi-Frequency Memory Network for Short-Term Electricity Load Forecasting.

Yulin Li, Yiming Gu, Tuo Guo, Jiachen Kang, Bingrong Xu

Proceedings of the 2024 5th International Conference on Computing, 2024

2023

A token selection-based multi-scale dual-branch CNN-transformer network for 12-lead ECG signal classification.

Siyuan Zhang, Cheng Lian, Bingrong Xu, Junbin Zang, Zhigang Zeng

Knowl. Based Syst., November, 2023

Gated Recurrent Unit Embedded with Dual Spatial Convolution for Long-Term Traffic Flow Prediction.

Qingyong Zhang, Lingfeng Zhou, Yixin Su, Huiwen Xia, Bingrong Xu

ISPRS Int. J. Geo Inf., September, 2023

AmtNet: Attentional multi-scale temporal network for phonocardiogram signal classification.

Junbin Zang, Cheng Lian, Bingrong Xu, Zhidong Zhang, Yixin Su, Chenyang Xue

Biomed. Signal Process. Control., August, 2023

A Multi-View Multi-Scale Neural Network for Multi-Label ECG Classification.

Shunxiang Yang, Cheng Lian, Zhigang Zeng, Bingrong Xu, Junbin Zang, Zhidong Zhang

IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

An Aggregated Convolutional Transformer Based on Slices and Channels for Multivariate Time Series Classification.

Yupeng Wu, Cheng Lian, Zhigang Zeng, Bingrong Xu, Yixin Su

IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

Classification of Phonocardiogram Based on Multi-View Deep Network.

Guangyang Tian, Cheng Lian, Bingrong Xu, Junbin Zang, Zhidong Zhang, Chenyang Xue

Neural Process. Lett., 2023

Multimodal multi-instance learning for long-term ECG classification.

Haozhan Han, Cheng Lian, Zhigang Zeng, Bingrong Xu, Junbin Zang, Chenyang Xue

Knowl. Based Syst., 2023

Cross-modal multiscale multi-instance learning for long-term ECG classification.

Long Cheng, Cheng Lian, Zhigang Zeng, Bingrong Xu, Yixin Su

Inf. Sci., 2023

IF2Net: Innately Forgetting-Free Networks for Continual Learning.

Depeng Li, Tianqi Wang, Bingrong Xu, Kenji Kawaguchi, Zhigang Zeng, Ponnuthurai Nagaratnam Suganthan

CoRR, 2023

GNet: 3D Object Detection from Point Cloud with Geometry-Aware Network.

Hao Ruan, Bingrong Xu, Junbin Gao, Lianguang Liu, Junting Lv, Yin Sheng, Zhigang Zeng

Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2023

DAFormer: Depth-aware 3D Object Detection Guided by Camera Model via Transformers.

Junbin Gao, Hao Ruan, Bingrong Xu, Zhigang Zeng

Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2023

2022

Few-Shot Domain Adaptation via Mixup Optimal Transport.

Bingrong Xu, Zhigang Zeng, Cheng Lian, Zhengming Ding

IEEE Trans. Image Process., 2022

Imbalanced Heart Sound Signal Classification Based on Two-Stage Trained DsaNet.

Guangyang Tian, Cheng Lian, Zhigang Zeng, Bingrong Xu, Yixin Su, Junbin Zang, Zhidong Zhang, Chenyang Xue

Cogn. Comput., 2022

SimpleCopy: A Strong Data Augmentation for Microalgae Detection.

Shaojin Wu, Junjie Zhang, Bingrong Xu, Zhigang Zeng

Proceedings of the 6th International Conference on Universal Village, 2022

2021

Semi-Supervised Low-Rank Semantics Grouping for Zero-Shot Learning.

Bingrong Xu, Zhigang Zeng, Cheng Lian, Zhengming Ding

IEEE Trans. Image Process., 2021

Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation.

Taotao Jing, Bingrong Xu, Zhengming Ding

IEEE Trans. Image Process., 2021

Improve Semi-supervised Learning with Metric Learning Clusters and Auxiliary Fake Samples.

Wei Zhou, Cheng Lian, Zhigang Zeng, Bingrong Xu, Yixin Su

Neural Process. Lett., 2021

2020

Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation.

Taotao Jing, Bingrong Xu, Jingjing Li, Zhengming Ding

CoRR, 2020

2019

A Discrete-Time Projection Neural Network for Sparse Signal Reconstruction With Application to Face Recognition.

Bingrong Xu, Qingshan Liu, Tingwen Huang

IEEE Trans. Neural Networks Learn. Syst., 2019

2018

Iterative projection based sparse reconstruction for face recognition.

Bingrong Xu, Qingshan Liu

Neurocomputing, 2018

2017

Elastic Net Based Weighted Iterative Method for Image Classification.

Bingrong Xu, Qingshan Liu

Proceedings of the Neural Information Processing - 24th International Conference, 2017