Bangjun Wang

According to our database, Bangjun Wang authored at least 36 papers between 2014 and 2024.

Collaborative distances:

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

2024

Personalized federated reinforcement learning: Balancing personalization and experience sharing via distance constraint.

Weicheng Xiong, Quan Liu, Fanzhang Li, Bangjun Wang, Fei Zhu

Expert Syst. Appl., March, 2024

Taking complementary advantages: Improving exploration via double self-imitation learning in procedurally-generated environments.

Hao Lin, Yue He, Fanzhang Li, Quan Liu, Bangjun Wang, Fei Zhu

Expert Syst. Appl., March, 2024

2023

LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving.

Tianyu Li, Peijin Jia, Bangjun Wang, Li Chen, Kun Jiang, Junchi Yan, Hongyang Li

CoRR, 2023

OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping.

Huijie Wang, Tianyu Li, Yang Li, Li Chen, Chonghao Sima, Zhenbo Liu, Bangjun Wang, Peijin Jia, Yuting Wang, Shengyin Jiang, Feng Wen, Hang Xu, Ping Luo, Junchi Yan, Wei Zhang, Hongyang Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AKGIN: An API Knowledge Graph and Intent Network based Mashup-Oriented API Recommendation Method.

Changyong Yu, Rong Hu, Bangjun Wang

Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

2019

Robust auto-weighted projective low-rank and sparse recovery for visual representation.

Lei Wang, Bangjun Wang, Zhao Zhang, Qiaolin Ye, Liyong Fu, Guangcan Liu, Meng Wang

Neural Networks, 2019

Incremental updating knowledge in neighborhood multigranulation rough sets under dynamic granular structures.

Chengxiang Hu, Li Zhang, Bangjun Wang, Zhao Zhang, Fanzhang Li

Knowl. Based Syst., 2019

Sparse modified marginal fisher analysis for facial expression recognition.

Zhe Wang, Li Zhang, Bangjun Wang

Appl. Intell., 2019

Feature Selection Based on the Kullback-Leibler Distance and its Application on Fault Diagnosis.

Yangtao Xue, Li Zhang, Bangjun Wang, Fanzhang Li

Proceedings of the Seventh International Conference on Advanced Cloud and Big Data, 2019

2018

Feature weight estimation based on dynamic representation and neighbor sparse reconstruction.

Xiaojuan Huang, Li Zhang, Bangjun Wang, Zhao Zhang, Fanzhang Li

Pattern Recognit., 2018

Sparse Auto-encoder with Smoothed l₁ Regularization.

Li Zhang, Ya-Ping Lu, Bangjun Wang, Fanzhang Li, Zhao Zhang

Neural Process. Lett., 2018

Applying 1-norm SVM with squared loss to gene selection for cancer classification.

Li Zhang, Weida Zhou, Bangjun Wang, Zhao Zhang, Fanzhang Li

Appl. Intell., 2018

Nonlinear feature selection using Gaussian kernel SVM-RFE for fault diagnosis.

Yangtao Xue, Li Zhang, Bangjun Wang, Zhao Zhang, Fanzhang Li

Appl. Intell., 2018

Feature clustering based support vector machine recursive feature elimination for gene selection.

Xiaojuan Huang, Li Zhang, Bangjun Wang, Fanzhang Li, Zhao Zhang

Appl. Intell., 2018

A Novel Model for Multi-label Image Annotation.

Xinjian Wu, Li Zhang, Fanzhang Li, Bangjun Wang

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Graph Embedding-Based Ensemble Learning for Image Clustering.

Xiaohui Luo, Li Zhang, Fanzhang Li, Bangjun Wang

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Density-Induced Support Vector Data Description for Fault Detection on Tennessee Eastman Process.

Yangtao Xue, Li Zhang, Bangjun Wang, Baige Tang

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Robust Multi-view Features Fusion Method Based on CNMF.

Bangjun Wang, Liu Yang, Li Zhang, Fanzhang Li

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

Decision pyramid classifier for face recognition under complex variations using single sample per person.

Tingwei Pei, Li Zhang, Bangjun Wang, Fanzhang Li, Zhao Zhang

Pattern Recognit., 2017

Spectral clustering based on similarity and dissimilarity criterion.

Bangjun Wang, Li Zhang, Caili Wu, Fanzhang Li, Zhao Zhang

Pattern Anal. Appl., 2017

Supervised orthogonal discriminant projection based on double adjacency graphs for image classification.

Bangjun Wang, Li Zhang, Fanzhang Li

IET Image Process., 2017

Dissimilarity-Based Sequential Backward Feature Selection Algorithm for Fault Diagnosis.

Yangtao Xue, Li Zhang, Bangjun Wang

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

An Altered Kernel Transformation for Time Series Classification.

Yangtao Xue, Li Zhang, Zhiwei Tao, Bangjun Wang, Fanzhang Li

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

Low-Frequency Representation for Face Recognition.

Bangjun Wang, Li Zhang, Fanzhang Li

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

Iterative Local Hyperlinear Learning Based Relief for Feature Weight Estimation.

Xiaojuan Huang, Li Zhang, Bangjun Wang, Zhao Zhang, Fanzhang Li

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

2016

Research on the innovation ability evaluation of traditional enterprise's business model for internet transition with hesitant fuzzy information.

Feng Ji, Fan Wu, Bangjun Wang, Ting Zhang

J. Intell. Fuzzy Syst., 2016

Sparse Auto-encoder with Smoothed l_1 Regularization.

Li Zhang, Ya-Ping Lu, Zhao Zhang, Bangjun Wang, Fanzhang Li

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Hidden Space Neighbourhood Component Analysis for Cancer Classification.

Li Zhang, Xiaojuan Huang, Bangjun Wang, Fanzhang Li, Zhao Zhang

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Time Series Classification Based on Multi-codebook Important Time Subsequence Approximation Algorithm.

Zhiwei Tao, Li Zhang, Bangjun Wang, Fanzhang Li

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

SAR image target recognition using kernel sparse representation based on reconstruction coefficient energy maximization rule.

Li Zhang, Zhiwei Tao, Bangjun Wang

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

A fast gene selection method for multi-cancer classification using multiple support vector data description.

Jin Cao, Li Zhang, Bangjun Wang, Fanzhang Li, Jiwen Yang

J. Biomed. Informatics, 2015

Filtering SAR imagery for edge detection using support value transform.

Li Zhang, Weida Zhou, Bangjun Wang

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Similarity learning based on multiple support vector data description.

Li Zhang, Xingning Lu, Bangjun Wang, Shuping He

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Feature ensemble learning based on sparse autoencoders for image classification.

Ya-Ping Lu, Li Zhang, Bangjun Wang, Jiwen Yang

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Hidden space discriminant neighborhood embedding.

Chuntao Ding, Li Zhang, Bangjun Wang

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A supervised neighborhood preserving embedding for face recognition.

Xing Bao, Li Zhang, Bangjun Wang, Ji-Wen Yang

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014