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Bingbing 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
— 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
- Bingbing Jiang 0006 — Jiangxi Normal University, School of Artificial Intelligence, Nanchang, China
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2020 – today
- 2026
- [j32]Tongxue Zhou
A hierarchical teacher-student learning framework with adaptive cross-modal fusion for brain tumor segmentation. Expert Syst. Appl. 311: 131371 (2026) - [j31]Tongxue Zhou, Mingyang Li
A reliable framework for brain tumor segmentation via multi-modal fusion and uncertainty modeling. Inf. Fusion 129: 104085 (2026) - [j30]Yadi Wang, Yulin Xie, Sufang Zhou, Bingbing Jiang, Hangjun Che:
Structural feature selection via weighted sparse regression with mutual information. J. Big Data 13(1): 12 (2026) - [j29]Yadi Wang
Adaptive group sparse multi-view classification method based on mutual information. Pattern Recognit. 174: 112931 (2026) - [j28]Junyi Guan, Bingbing Jiang
Peak-Padding: Clustering by Padding Density Peaks With the Minimum Padding Cost. IEEE Trans. Neural Networks Learn. Syst. 37(1): 342-356 (2026) - [c27]Li Lv, Qian Guo, Li Zhang, Liang Du, Bingbing Jiang, Lu Chen, Xinyan Liang:
Uncertainty-Guided View-Strength-Aware Feature Utilization for Multi-View Classification. AAAI 2026: 24198-24206 - [c26]Jie Yang
Multi-View Clustering with Granularity-Aware Pseudo Supervision. AAAI 2026: 27538-27546 - [c25]Bingbing Jiang, Zhongli Wang, Jie Yang, Guangkui Xu, Wei Chen, Chenglong Zhang, Xinyan Liang, Peng Zhou, Weiguo Sheng, Weiping Ding:
Self-Enhanced Density Clustering for High Dimension and Low Sample Size Data. KDD (1) 2026: 508-519 - 2025
- [j27]Bingbing Jiang
Semi-supervised multi-view feature selection with adaptive similarity fusion and learning. Pattern Recognit. 159: 111159 (2025) - [j26]Zhaolong Ling
Causal Feature Selection With Imbalanced Data. IEEE Trans. Emerg. Top. Comput. Intell. 9(2): 1610-1626 (2025) - [j25]Bingbing Jiang
Scalable Fuzzy Clustering With Collaborative Structure Learning and Preservation. IEEE Trans. Fuzzy Syst. 33(9): 3047-3060 (2025) - [c24]Bingbing Jiang
Collaborative Similarity Fusion and Consistency Recovery for Incomplete Multi-view Clustering. AAAI 2025: 17617-17625 - [c23]Zhaolong Ling, Jiale Yu, Yiwen Zhang, Debo Cheng, Peng Zhou
Local Causal Discovery Without Causal Sufficiency. AAAI 2025: 18737-18745 - [c22]Zhongli Wang
Enhanced Denesity Peak Clustering for High-Dimensional Data. AAAI 2025: 21411-21419 - [c21]Xinyan Liang, Shijie Wang, Yuhua Qian, Qian Guo, Liang Du, Bingbing Jiang, Tingjin Luo, Feijiang Li:
Trusted Multi-View Classification with Expert Knowledge Constraints. ICML 2025 - [c20]Xinyan Liang, Li Lv, Qian Guo, Bingbing Jiang, Feijiang Li, Liang Du, Lu Chen:
View-Association-Guided Dynamic Multi-View Classification. IJCAI 2025: 5680-5688 - [c19]Jie Yang
Multi-view Clustering via Multi-granularity Ensemble. IJCAI 2025: 6794-6802 - [c18]Yan Chen
Balanced Multiple Kernel Clustering with Discrete Partition Entropy Auto Regularization. ACM Multimedia 2025: 2197-2206 - [c17]Jiale Zou
Robust Tensor Learning with Graph Diffusion for Scalable Multi-view Graph Clustering. ACM Multimedia 2025: 2207-2215 - [i3]Yan Zhong, Xingyu Wu, Xinping Zhao, Li Zhang, Xinyuan Song, Lei Shi, Bingbing Jiang:
Semi-Supervised Multi-Label Feature Selection with Consistent Sparse Graph Learning. CoRR abs/2505.17875 (2025) - 2024
- [j24]Yang Fang
DPT-tracker: Dual pooling transformer for efficient visual tracking. CAAI Trans. Intell. Technol. 9(4): 948-959 (2024) - [j23]Yadi Wang
Multi-cluster nonlinear unsupervised feature selection via joint manifold learning and generalized Lasso. Expert Syst. Appl. 255: 124502 (2024) - [j22]Xingyu Wu
Nonlinear learning method for local causal structures. Inf. Sci. 654: 119789 (2024) - [j21]Yi Liu, Jiusun Zeng
Structured collaborative sparse dictionary learning for monitoring of multimode processes. Inf. Sci. 666: 120444 (2024) - [j20]Chenglong Zhang
Discriminative Multi-View Fusion via Adaptive Regression. IEEE Trans. Emerg. Top. Comput. Intell. 8(6): 3821-3833 (2024) - [j19]Bingbing Jiang
Semi-Supervised Multiview Feature Selection With Adaptive Graph Learning. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3615-3629 (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
Multi-View Semi-Supervised Feature Selection with Graph Convolutional Networks. IJCNN 2024: 1-8 - [c13]Rongwen Li
One-Stage Fair Multi-View Spectral Clustering. ACM Multimedia 2024: 1407-1416 - [c12]Chenglong Zhang
Scalable Multi-view Unsupervised Feature Selection with Structure Learning and Fusion. ACM Multimedia 2024: 5479-5488 - 2023
- [j18]Bingbing Jiang
Adaptive collaborative fusion for multi-view semi-supervised classification. Inf. Fusion 96: 37-50 (2023) - [j17]Chenglong Zhang, Bingbing Jiang
Efficient multi-view semi-supervised feature selection. Inf. Sci. 649: 119675 (2023) - [j16]Xingyu Wu
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
Row-Column Overcomplete Structured Dictionary Learning for Enhanced Fault Detection and Isolation. IEEE Trans. Ind. Informatics 19(5): 7032-7043 (2023) - [j14]Xingyu Wu
Feature Selection in the Data Stream Based on Incremental Markov Boundary Learning. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6740-6754 (2023) - [c11]Xingyu Wu, Bingbing Jiang
Practical Markov Boundary Learning without Strong Assumptions. AAAI 2023: 10388-10398 - [c10]Yangfeng Lu
Accelerated Semi-supervised Feature Selection via Adaptive Bipartite Graph. AIPR 2023: 592-598 - [c9]Zijie Luo, Weiguo Sheng, Bingbing Jiang
Structure-Guided Graphical Lasso for Process Monitoring. SAFEPROCESS 2023: 1-6 - 2022
- [j13]Yang Fang
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
Domain knowledge-enhanced variable selection for biomedical data analysis. Inf. Sci. 606: 469-488 (2022) - [j11]Bingbing Jiang
Robust multi-view learning via adaptive regression. Inf. Sci. 610: 916-937 (2022) - [j10]Xiren Zhou
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
Separation and recovery Markov boundary discovery and its application in EEG-based emotion recognition. Inf. Sci. 571: 262-278 (2021) - [j8]Yang Li
Symbolic Sequence Classification in the Fractal Space. IEEE Trans. Emerg. Top. Comput. Intell. 5(2): 168-177 (2021) - [j7]Yaqiang Yao
Multiple Kernel k-Means Clustering by Selecting Representative Kernels. IEEE Trans. Neural Networks Learn. Syst. 32(11): 4983-4996 (2021) - [c8]Yi Liu, Jiusun Zeng, Bingbing Jiang
Structured Dictionary Learning for Fault Detection and Isolation. CAA SAFEPROCESS 2021: 1-6 - [c7]Bingbing Jiang
Robust Adaptive-weighting Multi-view Classification. CIKM 2021: 3117-3121 - [c6]Yan Zhong, Xingyu Wu, Bingbing Jiang
Multi-Label Local-to-Global Feature Selection. IJCNN 2021: 1-8 - 2020
- [j6]Xingyu Wu
Accurate Markov Boundary Discovery for Causal Feature Selection. IEEE Trans. Cybern. 50(12): 4983-4996 (2020) - [j5]Shengfei Lyu
Multiclass Probabilistic Classification Vector Machine. IEEE Trans. Neural Networks Learn. Syst. 31(10): 3906-3919 (2020) - [c5]Xingyu Wu, Bingbing Jiang, Kui Yu, Huanhuan Chen, Chunyan Miao:
Multi-Label Causal Feature Selection. AAAI 2020: 6430-6437 - [c4]Yangyan Xu
An Adaptive Water Wave Optimization Algorithm with Enhanced Wave Interaction. CEC 2020: 1-8 - [c3]Xingyu Wu, Bingbing Jiang
Tolerant Markov Boundary Discovery for Feature Selection. CIKM 2020: 2261-2264 - [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)
2010 – 2019
- 2019
- [j4]Bingbing Jiang
Probabilistic Feature Selection and Classification Vector Machine. ACM Trans. Knowl. Discov. Data 13(2): 21:1-21:27 (2019) - [c2]Bingbing Jiang
Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach. AAAI 2019: 3983-3990 - 2018
- [j3]Huanhuan Chen
Semisupervised Negative Correlation Learning. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5366-5379 (2018) - [j2]Bingbing Jiang
Latent Topic Text Representation Learning on Statistical Manifolds. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5643-5654 (2018) - [c1]Wei Wang
Risk Factor Analysis of Bone Mineral Density Based on Feature Selection in Type 2 Diabetes. ICBK 2018: 221-226 - 2017
- [j1]Bingbing Jiang
Scalable Graph-Based Semi-Supervised Learning through Sparse Bayesian Model. IEEE Trans. Knowl. Data Eng. 29(12): 2758-2771 (2017)
Coauthor Index
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last updated on 2026-05-08 02:21 CEST by the dblp team
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