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ORCIDBingbing Jiang 0001
Person information
- unicode name: 江兵兵
- affiliation: Hangzhou Normal University, School of Information Science and Technology, China
- affiliation (PhD 2019): University of Science and Technology of China, School of Computer Science and Technology, Hefei, China
Other persons with the same name
- Bingbing Jiang 0002
![[0000-0003-2426-2390]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-2426-2390")
— Purple Mountain Lab, Department of Endogenous Safety and Security, Nanjing, China (and 1 more) - Bingbing Jiang 0003 — Nanjing University of Science and Technology, School of Electronic and Optical Engineering, China
- Bingbing Jiang 0004 — Zhengzhou University of Light Industry, China
- Bingbing Jiang 0005 — Hunan University, Changsha, China
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Journal Articles
- 2025
[j25]Bingbing Jiang, Jun Liu, Zidong Wang, Chenglong Zhang, Jie Yang, Yadi Wang, Weiguo Sheng, Weiping Ding:
Semi-supervised multi-view feature selection with adaptive similarity fusion and learning. Pattern Recognit. 159: 111159 (2025)- 2024
- [j24]Yang Fang, Bailian Xie, Uswah Khairuddin, Zijian Min, Bingbing Jiang, Weisheng Li:
DPT-tracker: Dual pooling transformer for efficient visual tracking. CAAI Trans. Intell. Technol. 9(4): 948-959 (2024) - [j23]Yadi Wang, Mengyao Huang, Liming Zhou, Hangjun Che, Bingbing Jiang:
Multi-cluster nonlinear unsupervised feature selection via joint manifold learning and generalized Lasso. Expert Syst. Appl. 255: 124502 (2024) - [j22]Xingyu Wu, Yan Zhong, Zhaolong Ling, Jie Yang, Li Li, Weiguo Sheng, Bingbing Jiang:
Nonlinear learning method for local causal structures. Inf. Sci. 654: 119789 (2024) - [j21]Yi Liu, Jiusun Zeng, Bingbing Jiang, Weiguo Sheng, Zidong Wang, Lei Xie, Li Li:
Structured collaborative sparse dictionary learning for monitoring of multimode processes. Inf. Sci. 666: 120444 (2024) - [j20]Chenglong Zhang, Xinjie Zhu, Zidong Wang, Yan Zhong, Weiguo Sheng, Weiping Ding, Bingbing Jiang:
Discriminative Multi-View Fusion via Adaptive Regression. IEEE Trans. Emerg. Top. Comput. Intell. 8(6): 3821-3833 (2024) - [j19]Bingbing Jiang, Xingyu Wu, Xiren Zhou, Yi Liu, Anthony G. Cohn, Weiguo Sheng, Huanhuan Chen:
Semi-Supervised Multiview Feature Selection With Adaptive Graph Learning. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3615-3629 (2024) - 2023
- [j18]Bingbing Jiang, Chenglong Zhang, Yan Zhong, Yi Liu, Yingwei Zhang, Xingyu Wu, Weiguo Sheng:
Adaptive collaborative fusion for multi-view semi-supervised classification. Inf. Fusion 96: 37-50 (2023) - [j17]Chenglong Zhang, Bingbing Jiang, Zidong Wang, Jie Yang, Yangfeng Lu, Xingyu Wu, Weiguo Sheng:
Efficient multi-view semi-supervised feature selection. Inf. Sci. 649: 119675 (2023) - [j16]Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen:
Multi-Target Markov Boundary Discovery: Theory, Algorithm, and Application. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4964-4980 (2023) - [j15]Yi Liu, Jiusun Zeng, Lei Xie, Bingbing Jiang, Dongping Zhang:
Row-Column Overcomplete Structured Dictionary Learning for Enhanced Fault Detection and Isolation. IEEE Trans. Ind. Informatics 19(5): 7032-7043 (2023) - [j14]Xingyu Wu, Bingbing Jiang, Xiangyu Wang, Taiyu Ban, Huanhuan Chen:
Feature Selection in the Data Stream Based on Incremental Markov Boundary Learning. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6740-6754 (2023) - 2022
- [j13]Yang Fang, Bei Luo, Ting Zhao, Dong He, Bingbing Jiang, Qilie Liu:
ST-SIGMA: Spatio-temporal semantics and interaction graph aggregation for multi-agent perception and trajectory forecasting. CAAI Trans. Intell. Technol. 7(4): 744-757 (2022) - [j12]Xingyu Wu, Zhenchao Tao, Bingbing Jiang, Tianhao Wu, Xin Wang, Huanhuan Chen:
Domain knowledge-enhanced variable selection for biomedical data analysis. Inf. Sci. 606: 469-488 (2022) - [j11]Bingbing Jiang, Junhao Xiang, Xingyu Wu, Yadi Wang, Huanhuan Chen, Weiwei Cao, Weiguo Sheng:
Robust multi-view learning via adaptive regression. Inf. Sci. 610: 916-937 (2022) - [j10]Xiren Zhou, Qiuju Chen, Bingbing Jiang, Huanhuan Chen:
An Underground Pipeline Mapping Method Based on Fusion of Multisource Data. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - 2021
- [j9]Xingyu Wu, Bingbing Jiang, Kui Yu, Huanhuan Chen:
Separation and recovery Markov boundary discovery and its application in EEG-based emotion recognition. Inf. Sci. 571: 262-278 (2021) - [j8]Yang Li, Bingbing Jiang, Huanhuan Chen, Xin Yao:
Symbolic Sequence Classification in the Fractal Space. IEEE Trans. Emerg. Top. Comput. Intell. 5(2): 168-177 (2021) - [j7]Yaqiang Yao, Yang Li, Bingbing Jiang, Huanhuan Chen:
Multiple Kernel k-Means Clustering by Selecting Representative Kernels. IEEE Trans. Neural Networks Learn. Syst. 32(11): 4983-4996 (2021) - 2020
- [j6]Xingyu Wu, Bingbing Jiang, Kui Yu, Chunyan Miao, Huanhuan Chen:
Accurate Markov Boundary Discovery for Causal Feature Selection. IEEE Trans. Cybern. 50(12): 4983-4996 (2020) - [j5]Shengfei Lyu, Xing Tian, Yang Li, Bingbing Jiang, Huanhuan Chen:
Multiclass Probabilistic Classification Vector Machine. IEEE Trans. Neural Networks Learn. Syst. 31(10): 3906-3919 (2020) - 2019
- [j4]Bingbing Jiang, Chang Li, Maarten de Rijke, Xin Yao, Huanhuan Chen:
Probabilistic Feature Selection and Classification Vector Machine. ACM Trans. Knowl. Discov. Data 13(2): 21:1-21:27 (2019) - 2018
- [j3]Huanhuan Chen, Bingbing Jiang, Xin Yao:
Semisupervised Negative Correlation Learning. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5366-5379 (2018) - [j2]Bingbing Jiang, Zhengyu Li, Huanhuan Chen, Anthony G. Cohn:
Latent Topic Text Representation Learning on Statistical Manifolds. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5643-5654 (2018) - 2017
- [j1]Bingbing Jiang, Huanhuan Chen, Bo Yuan, Xin Yao:
Scalable Graph-Based Semi-Supervised Learning through Sparse Bayesian Model. IEEE Trans. Knowl. Data Eng. 29(12): 2758-2771 (2017)
Conference and Workshop Papers
- 2024
- [c16]Xingyu Wu, Yan Zhong, Jibin Wu, Bingbing Jiang, Kay Chen Tan:
Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation. IJCAI 2024: 5235-5244 - [c15]Chenglong Zhang, Yang Fang, Xinyan Liang, Han Zhang, Peng Zhou, Xingyu Wu, Jie Yang, Bingbing Jiang, Weiguo Sheng:
Efficient Multi-view Unsupervised Feature Selection with Adaptive Structure Learning and Inference. IJCAI 2024: 5443-5452 - [c14]Zihao Xu, Chenglong Zhang, Zhaolong Ling, Peng Zhou, Yan Zhong, Li Li, Han Zhang, Weiguo Sheng, Bingbing Jiang:
Multi-View Semi-Supervised Feature Selection with Graph Convolutional Networks. IJCNN 2024: 1-8 - [c13]Rongwen Li, Haiyang Hu, Liang Du, Jiarong Chen, Bingbing Jiang, Peng Zhou:
One-Stage Fair Multi-View Spectral Clustering. ACM Multimedia 2024: 1407-1416 - [c12]Chenglong Zhang, Xinyan Liang, Peng Zhou, Zhaolong Ling, Yingwei Zhang, Xingyu Wu, Weiguo Sheng, Bingbing Jiang:
Scalable Multi-view Unsupervised Feature Selection with Structure Learning and Fusion. ACM Multimedia 2024: 5479-5488 - 2023
- [c11]Xingyu Wu, Bingbing Jiang, Tianhao Wu, Huanhuan Chen:
Practical Markov Boundary Learning without Strong Assumptions. AAAI 2023: 10388-10398 - [c10]Yangfeng Lu, Chenglong Zhang, Bingbing Jiang:
Accelerated Semi-supervised Feature Selection via Adaptive Bipartite Graph. AIPR 2023: 592-598 - [c9]Zijie Luo, Weiguo Sheng, Bingbing Jiang, Yi Liu:
Structure-Guided Graphical Lasso for Process Monitoring. SAFEPROCESS 2023: 1-6 - 2021
- [c8]Yi Liu, Jiusun Zeng, Bingbing Jiang, Xun Lang, Lei Xie:
Structured Dictionary Learning for Fault Detection and Isolation. CAA SAFEPROCESS 2021: 1-6 - [c7]Bingbing Jiang, Junhao Xiang, Xingyu Wu, Wenda He, Libin Hong, Weiguo Sheng:
Robust Adaptive-weighting Multi-view Classification. CIKM 2021: 3117-3121 - [c6]Yan Zhong, Xingyu Wu, Bingbing Jiang, Huanhuan Chen:
Multi-Label Local-to-Global Feature Selection. IJCNN 2021: 1-8 - 2020
- [c5]Xingyu Wu, Bingbing Jiang, Kui Yu, Huanhuan Chen, Chunyan Miao:
Multi-Label Causal Feature Selection. AAAI 2020: 6430-6437 - [c4]Yangyan Xu, Chenxin Wu, Bingbing Jiang, Weiguo Sheng:
An Adaptive Water Wave Optimization Algorithm with Enhanced Wave Interaction. CEC 2020: 1-8 - [c3]Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen:
Tolerant Markov Boundary Discovery for Feature Selection. CIKM 2020: 2261-2264 - 2019
- [c2]Bingbing Jiang, Xingyu Wu, Kui Yu, Huanhuan Chen:
Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach. AAAI 2019: 3983-3990 - 2018
- [c1]Wei Wang, Bingbing Jiang, Shandong Ye, Liting Qian:
Risk Factor Analysis of Bone Mineral Density Based on Feature Selection in Type 2 Diabetes. ICBK 2018: 221-226
Informal and Other Publications
- 2020
- [i2]Shengfei Lyu, Xing Tian, Yang Li, Bingbing Jiang, Huanhuan Chen:
Probabilistic Classification Vector Machine for Multi-Class Classification. CoRR abs/2006.15791 (2020) - [i1]Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen:
Multi-label Causal Variable Discovery: Learning Common Causal Variables and Label-specific Causal Variables. CoRR abs/2011.04176 (2020)
Coauthor Index
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