A supervised neighborhood preserving embedding for face recognition. - Xing Bao; Li Zhang 004; Bangjun Wang; Ji-Wen Yang (IJCNN, 2014)

Hidden space discriminant neighborhood embedding. - Chuntao Ding; Li Zhang 004; Bangjun Wang (IJCNN, 2014)

Feature ensemble learning based on sparse autoencoders for image classification. - Ya-Ping Lu; Li Zhang 004; Bangjun Wang; Jiwen Yang (IJCNN, 2014)

Similarity learning based on multiple support vector data description. - Li Zhang 004; Xingning Lu; Bangjun Wang; Shuping He (IJCNN, 2015)

Filtering SAR imagery for edge detection using support value transform. - Li Zhang 004; Weida Zhou; Bangjun Wang (IJCNN, 2015)

A fast gene selection method for multi-cancer classification using multiple support vector data description. - Jin Cao; Li Zhang 004; Bangjun Wang; Fanzhang Li; Jiwen Yang (J. Biomed. Informatics, 2015)

SAR image target recognition using kernel sparse representation based on reconstruction coefficient energy maximization rule. - Li Zhang 004; Zhiwei Tao; Bangjun Wang (ICASSP, 2016)

Time Series Classification Based on Multi-codebook Important Time Subsequence Approximation Algorithm. - Zhiwei Tao; Li Zhang 004; Bangjun Wang; Fanzhang Li (ICONIP (4), 2016)

Hidden Space Neighbourhood Component Analysis for Cancer Classification. - Li Zhang 004; Xiaojuan Huang; Bangjun Wang; Fanzhang Li; Zhao Zhang 001 (ICONIP (4), 2016)

Sparse Auto-encoder with Smoothed l_1 Regularization. - Li Zhang 004; Ya-Ping Lu; Zhao Zhang 001; Bangjun Wang; Fanzhang Li (ICONIP (3), 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)

Iterative Local Hyperlinear Learning Based Relief for Feature Weight Estimation. - Xiaojuan Huang; Li Zhang 004; Bangjun Wang; Zhao Zhang 001; Fanzhang Li (ICONIP (1), 2017)

Low-Frequency Representation for Face Recognition. - Bangjun Wang; Li Zhang 004; Fanzhang Li (ICONIP (6), 2017)

An Altered Kernel Transformation for Time Series Classification. - Yangtao Xue; Li Zhang 004; Zhiwei Tao; Bangjun Wang; Fanzhang Li (ICONIP (5), 2017)

Dissimilarity-Based Sequential Backward Feature Selection Algorithm for Fault Diagnosis. - Yangtao Xue; Li Zhang 004; Bangjun Wang (ICONIP (4), 2017)

Supervised orthogonal discriminant projection based on double adjacency graphs for image classification. - Bangjun Wang; Li Zhang 004; Fanzhang Li (IET Image Process., 2017)

Spectral clustering based on similarity and dissimilarity criterion. - Bangjun Wang; Li Zhang 004; Caili Wu; Fanzhang Li; Zhao Zhang 001 (Pattern Anal. Appl., 2017)

Decision pyramid classifier for face recognition under complex variations using single sample per person. - Tingwei Pei; Li Zhang 004; Bangjun Wang; Fanzhang Li; Zhao Zhang 001 (Pattern Recognit., 2017)

Robust Multi-view Features Fusion Method Based on CNMF. - Bangjun Wang; Liu Yang; Li Zhang 004; Fanzhang Li (ICONIP (4), 2018)

Density-Induced Support Vector Data Description for Fault Detection on Tennessee Eastman Process. - Yangtao Xue; Li Zhang 004; Bangjun Wang; Baige Tang (ICONIP (4), 2018)

Graph Embedding-Based Ensemble Learning for Image Clustering. - Xiaohui Luo; Li Zhang 004; Fanzhang Li; Bangjun Wang (ICPR, 2018)

A Novel Model for Multi-label Image Annotation. - Xin-Jian Wu; Li Zhang 004; Fanzhang Li; Bangjun Wang (ICPR, 2018)

Feature clustering based support vector machine recursive feature elimination for gene selection. - Xiaojuan Huang; Li Zhang 004; Bangjun Wang; Fanzhang Li; Zhao Zhang 001 (Appl. Intell., 2018)

Nonlinear feature selection using Gaussian kernel SVM-RFE for fault diagnosis. - Yangtao Xue; Li Zhang 004; Bangjun Wang; Zhao Zhang 001; Fanzhang Li (Appl. Intell., 2018)

Applying 1-norm SVM with squared loss to gene selection for cancer classification. - Li Zhang 004; Weida Zhou; Bangjun Wang; Zhao Zhang 001; Fanzhang Li (Appl. Intell., 2018)

Sparse Auto-encoder with Smoothed l1 Regularization. - Li Zhang 004; Ya-Ping Lu; Bangjun Wang; Fanzhang Li; Zhao Zhang 001 (Neural Process. Lett., 2018)

Feature weight estimation based on dynamic representation and neighbor sparse reconstruction. - Xiaojuan Huang; Li Zhang 004; Bangjun Wang; Zhao Zhang 001; Fanzhang Li (Pattern Recognit., 2018)

Feature Selection Based on the Kullback-Leibler Distance and its Application on Fault Diagnosis. - Yangtao Xue; Li Zhang 004; Bangjun Wang; Fanzhang Li (CBD, 2019)

Sparse modified marginal fisher analysis for facial expression recognition. - Zhe Wang; Li Zhang 004; Bangjun Wang (Appl. Intell., 2019)

Incremental updating knowledge in neighborhood multigranulation rough sets under dynamic granular structures. - Chengxiang Hu; Li Zhang 004; Bangjun Wang; Zhao Zhang 001; Fanzhang Li (Knowl. Based Syst., 2019)

Robust auto-weighted projective low-rank and sparse recovery for visual representation. - Lei Wang 124; Bangjun Wang; Zhao Zhang 001; Qiaolin Ye; Liyong Fu; Guangcan Liu; Meng Wang 001 (Neural Networks, 2019)

AKGIN: An API Knowledge Graph and Intent Network based Mashup-Oriented API Recommendation Method. - Changyong Yu; Rong Hu; Bangjun Wang (CSCWD, 2023)

OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping. - Huijie Wang; Tianyu Li; Yang Li 189; Li Chen 008; Chonghao Sima; Zhenbo Liu; Bangjun Wang; Peijin Jia; Yuting Wang; Shengyin Jiang; Feng Wen; Hang Xu 004; et al. (NeurIPS, 2023)

LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving. - Tianyu Li; Peijin Jia; Bangjun Wang; Li Chen 008; Kun Jiang; Junchi Yan; Hongyang Li 001 (ICLR, 2024)

Learning Manipulation by Predicting Interaction. - Jia Zeng; Qingwen Bu; Bangjun Wang; Wenke Xia; Li Chen 008; Hao Dong 003; Haoming Song; Dong Wang 004; Di Hu 001; Ping Luo 002; Heming Cui; Bin Zhao 001; et al. (Robotics: Science and Systems, 2024)

Taking complementary advantages: Improving exploration via double self-imitation learning in procedurally-generated environments. - Hao Lin; Yue He; Fanzhang Li; Quan Liu 004; Bangjun Wang; Fei Zhu 003 (Expert Syst. Appl., 2024)

Personalized federated reinforcement learning: Balancing personalization and experience sharing via distance constraint. - Weicheng Xiong; Quan Liu 004; Fanzhang Li; Bangjun Wang; Fei Zhu 003 (Expert Syst. Appl., 2024)

Conservative reward enhancement through the nearest neighbor integration in model-based Offline Policy Optimization. - Xue Li 023; Bangjun Wang; Xinghong Ling (Expert Syst. Appl., 2025)

A Contrastive Learning Enhanced Adaptive Multimodal Fusion Network for Hyperspectral and LiDAR Data Classification. - Kai Xu 008; Bangjun Wang; Zhou Zhu; Zhaohong Jia; Chengcheng Fan (IEEE Trans. Geosci. Remote. Sens., 2025)

RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning. - Haoran Geng; Feishi Wang; Songlin Wei; Yuyang Li; Bangjun Wang; Boshi An; Charlie Tianyue Cheng; Haozhe Lou; Peihao Li; Yen-Jen Wang; Yutong Liang; Dylan Goetting; et al. (CoRR, 2025)

World4Omni: A Zero-Shot Framework from Image Generation World Model to Robotic Manipulation. - Haonan Chen; Bangjun Wang; Jingxiang Guo; Tianrui Zhang; Yiwen Hou; Xuchuan Huang; Chenrui Tie; Lin Shao 002 (CoRR, 2025)

Complementarily Learning Decoupled Category-Region-Aware Prototype for Few-Shot Classification. - Jiajie Fang; Mengjuan Jiang; Jiaqing Fan; Bangjun Wang; Fanzhang Li (ACM Trans. Multim. Comput. Commun. Appl., 2025)