Bingbing Jiang

According to our database, Bingbing Jiang authored at least 41 papers between 2017 and 2024.

Collaborative distances:

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

2024

Semi-Supervised Multiview Feature Selection With Adaptive Graph Learning.

Bingbing Jiang, Xingyu Wu, Xiren Zhou, Yi Liu, Anthony G. Cohn, Weiguo Sheng, Huanhuan Chen

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Nonlinear learning method for local causal structures.

Xingyu Wu, Yan Zhong, Zhaolong Ling, Jie Yang, Li Li, Weiguo Sheng, Bingbing Jiang

Inf. Sci., January, 2024

Structured collaborative sparse dictionary learning for monitoring of multimode processes.

Yi Liu, Jiusun Zeng, Bingbing Jiang, Weiguo Sheng, Zidong Wang, Lei Xie, Li Li

Inf. Sci., 2024

Multi-cluster nonlinear unsupervised feature selection via joint manifold learning and generalized Lasso.

Yadi Wang, Mengyao Huang, Liming Zhou, Hangjun Che, Bingbing Jiang

Expert Syst. Appl., 2024

DPT-tracker: Dual pooling transformer for efficient visual tracking.

Yang Fang, Bailian Xie, Uswah Khairuddin, Zijian Min, Bingbing Jiang, Weisheng Li

CAAI Trans. Intell. Technol., 2024

Scalable Multi-view Unsupervised Feature Selection with Structure Learning and Fusion.

Chenglong Zhang, Xinyan Liang, Peng Zhou, Zhaolong Ling, Yingwei Zhang, Xingyu Wu, Weiguo Sheng, Bingbing Jiang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

One-Stage Fair Multi-View Spectral Clustering.

Rongwen Li, Haiyang Hu, Liang Du, Jiarong Chen, Bingbing Jiang, Peng Zhou

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Multi-View Semi-Supervised Feature Selection with Graph Convolutional Networks.

Zihao Xu, Chenglong Zhang, Zhaolong Ling, Peng Zhou, Yan Zhong, Li Li, Han Zhang, Weiguo Sheng, Bingbing Jiang

Proceedings of the International Joint Conference on Neural Networks, 2024

Efficient Multi-view Unsupervised Feature Selection with Adaptive Structure Learning and Inference.

Chenglong Zhang, Yang Fang, Xinyan Liang, Han Zhang, Peng Zhou, Xingyu Wu, Jie Yang, Bingbing Jiang, Weiguo Sheng

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation.

Xingyu Wu, Yan Zhong, Jibin Wu, Bingbing Jiang, Kay Chen Tan

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Efficient multi-view semi-supervised feature selection.

Chenglong Zhang, Bingbing Jiang, Zidong Wang, Jie Yang, Yangfeng Lu, Xingyu Wu, Weiguo Sheng

Inf. Sci., November, 2023

Feature Selection in the Data Stream Based on Incremental Markov Boundary Learning.

Xingyu Wu, Bingbing Jiang, Xiangyu Wang, Taiyu Ban, Huanhuan Chen

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Adaptive collaborative fusion for multi-view semi-supervised classification.

Bingbing Jiang, Chenglong Zhang, Yan Zhong, Yi Liu, Yingwei Zhang, Xingyu Wu, Weiguo Sheng

Inf. Fusion, August, 2023

Row-Column Overcomplete Structured Dictionary Learning for Enhanced Fault Detection and Isolation.

Yi Liu, Jiusun Zeng, Lei Xie, Bingbing Jiang, Dongping Zhang

IEEE Trans. Ind. Informatics, May, 2023

Multi-Target Markov Boundary Discovery: Theory, Algorithm, and Application.

Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Structure-Guided Graphical Lasso for Process Monitoring.

Zijie Luo, Weiguo Sheng, Bingbing Jiang, Yi Liu

Proceedings of the CAA Symposium on Fault Detection, 2023

Accelerated Semi-supervised Feature Selection via Adaptive Bipartite Graph.

Yangfeng Lu, Chenglong Zhang, Bingbing Jiang

Proceedings of the 6th International Conference on Artificial Intelligence and Pattern Recognition, 2023

Practical Markov Boundary Learning without Strong Assumptions.

Xingyu Wu, Bingbing Jiang, Tianhao Wu, Huanhuan Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

ST-SIGMA: Spatio-temporal semantics and interaction graph aggregation for multi-agent perception and trajectory forecasting.

Yang Fang, Bei Luo, Ting Zhao, Dong He, Bingbing Jiang, Qilie Liu

CAAI Trans. Intell. Technol., December, 2022

An Underground Pipeline Mapping Method Based on Fusion of Multisource Data.

Xiren Zhou, Qiuju Chen, Bingbing Jiang, Huanhuan Chen

IEEE Trans. Geosci. Remote. Sens., 2022

Domain knowledge-enhanced variable selection for biomedical data analysis.

Xingyu Wu, Zhenchao Tao, Bingbing Jiang, Tianhao Wu, Xin Wang, Huanhuan Chen

Inf. Sci., 2022

Robust multi-view learning via adaptive regression.

Bingbing Jiang, Junhao Xiang, Xingyu Wu, Yadi Wang, Huanhuan Chen, Weiwei Cao, Weiguo Sheng

Inf. Sci., 2022

2021

Multiple Kernel k-Means Clustering by Selecting Representative Kernels.

Yaqiang Yao, Yang Li, Bingbing Jiang, Huanhuan Chen

IEEE Trans. Neural Networks Learn. Syst., 2021

Symbolic Sequence Classification in the Fractal Space.

Yang Li, Bingbing Jiang, Huanhuan Chen, Xin Yao

IEEE Trans. Emerg. Top. Comput. Intell., 2021

Separation and recovery Markov boundary discovery and its application in EEG-based emotion recognition.

Xingyu Wu, Bingbing Jiang, Kui Yu, Huanhuan Chen

Inf. Sci., 2021

Multi-Label Local-to-Global Feature Selection.

Yan Zhong, Xingyu Wu, Bingbing Jiang, Huanhuan Chen

Proceedings of the International Joint Conference on Neural Networks, 2021

Robust Adaptive-weighting Multi-view Classification.

Bingbing Jiang, Junhao Xiang, Xingyu Wu, Wenda He, Libin Hong, Weiguo Sheng

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Structured Dictionary Learning for Fault Detection and Isolation.

Yi Liu, Jiusun Zeng, Bingbing Jiang, Xun Lang, Lei Xie

Proceedings of the CAA Symposium on Fault Detection, 2021

2020

Multiclass Probabilistic Classification Vector Machine.

Shengfei Lyu, Xing Tian, Yang Li, Bingbing Jiang, Huanhuan Chen

IEEE Trans. Neural Networks Learn. Syst., 2020

Accurate Markov Boundary Discovery for Causal Feature Selection.

Xingyu Wu, Bingbing Jiang, Kui Yu, Chunyan Miao, Huanhuan Chen

IEEE Trans. Cybern., 2020

Multi-label Causal Variable Discovery: Learning Common Causal Variables and Label-specific Causal Variables.

Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen

CoRR, 2020

Probabilistic Classification Vector Machine for Multi-Class Classification.

Shengfei Lyu, Xing Tian, Yang Li, Bingbing Jiang, Huanhuan Chen

CoRR, 2020

Tolerant Markov Boundary Discovery for Feature Selection.

Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

An Adaptive Water Wave Optimization Algorithm with Enhanced Wave Interaction.

Yangyan Xu, Chenxin Wu, Bingbing Jiang, Weiguo Sheng

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Multi-Label Causal Feature Selection.

Xingyu Wu, Bingbing Jiang, Kui Yu, Huanhuan Chen, Chunyan Miao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Probabilistic Feature Selection and Classification Vector Machine.

Bingbing Jiang, Chang Li, Maarten de Rijke, Xin Yao, Huanhuan Chen

ACM Trans. Knowl. Discov. Data, 2019

Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach.

Bingbing Jiang, Xingyu Wu, Kui Yu, Huanhuan Chen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Latent Topic Text Representation Learning on Statistical Manifolds.

Bingbing Jiang, Zhengyu Li, Huanhuan Chen, Anthony G. Cohn

IEEE Trans. Neural Networks Learn. Syst., 2018

Semisupervised Negative Correlation Learning.

Huanhuan Chen, Bingbing Jiang, Xin Yao

IEEE Trans. Neural Networks Learn. Syst., 2018

Risk Factor Analysis of Bone Mineral Density Based on Feature Selection in Type 2 Diabetes.

Wei Wang, Bingbing Jiang, Shandong Ye, Liting Qian

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

2017

Scalable Graph-Based Semi-Supervised Learning through Sparse Bayesian Model.

Bingbing Jiang, Huanhuan Chen, Bo Yuan, Xin Yao

IEEE Trans. Knowl. Data Eng., 2017