Bingbing Jiang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 47

Top Topics

Fault Detection

Elman Neural Network

Feature Selection

Negative Correlation Learning

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Sci. China Inf. Sci.

Publications

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) (2024)
Xingyu Wu, Yan Zhong, Zhaolong Ling, Jie Yang, Li Li, Weiguo Sheng, Bingbing Jiang
Nonlinear learning method for local causal structures. Inf. Sci. 654 (2024)
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 (2024)
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 (2024)
Quanyu Zhao, Bingbing Jiang, Yuan Zhang, Heng Wang, Yunlong Mao, Sheng Zhong
Unbalanced private set intersection with linear communication complexity. Sci. China Inf. Sci. 67 (3) (2024)
Yangfeng Lu, Chenglong Zhang, Bingbing Jiang
Accelerated Semi-supervised Feature Selection via Adaptive Bipartite Graph. AIPR (2023)
Wei Tong, Wenjie Chen, Bingbing Jiang, Fengyuan Xu, Qun Li, Sheng Zhong
Privacy-Preserving Data Integrity Verification for Secure Mobile Edge Storage. IEEE Trans. Mob. Comput. 22 (9) (2023)
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) (2023)
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 (2023)
Chenglong Zhang, Bingbing Jiang, Zidong Wang, Jie Yang, Yangfeng Lu, Xingyu Wu, Weiguo Sheng
Efficient multi-view semi-supervised feature selection. Inf. Sci. 649 (2023)
Xingyu Wu, Bingbing Jiang, Tianhao Wu, Huanhuan Chen
Practical Markov Boundary Learning without Strong Assumptions. AAAI (2023)
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) (2023)
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) (2023)
Zijie Luo, Weiguo Sheng, Bingbing Jiang, Yi Liu
Structure-Guided Graphical Lasso for Process Monitoring. SAFEPROCESS (2023)
Bingbing Jiang
Multi-key FHE without ciphertext-expansion in two-server model. Frontiers Comput. Sci. 16 (3) (2022)
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) (2022)
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 (2022)
Bingbing Jiang, Kunwu Xu
The Potential of Rural Resources in Meeting Local Needs Through Participatory Design Interventions. HCI (10) (2022)
Xingyu Wu, Zhenchao Tao, Bingbing Jiang, Tianhao Wu, Xin Wang, Huanhuan Chen
Domain knowledge-enhanced variable selection for biomedical data analysis. Inf. Sci. 606 (2022)
Bingbing Jiang, Junhao Xiang, Xingyu Wu, Yadi Wang, Huanhuan Chen, Weiwei Cao, Weiguo Sheng
Robust multi-view learning via adaptive regression. Inf. Sci. 610 (2022)
Bingbing Jiang, Junhao Xiang, Xingyu Wu, Wenda He, Libin Hong, Weiguo Sheng
Robust Adaptive-weighting Multi-view Classification. CIKM (2021)
Bingbing Jiang
Two-Party Secure Computation for Any Polynomial Function on Ciphertexts under Different Secret Keys. Secur. Commun. Networks 2021 (2021)
Yi Liu, Jiusun Zeng, Bingbing Jiang, Xun Lang, Lei Xie
Structured Dictionary Learning for Fault Detection and Isolation. CAA SAFEPROCESS (2021)
Yang Li, Bingbing Jiang, Huanhuan Chen, Xin Yao
Symbolic Sequence Classification in the Fractal Space. IEEE Trans. Emerg. Top. Comput. Intell. 5 (2) (2021)
Yan Zhong, Xingyu Wu, Bingbing Jiang, Huanhuan Chen
Multi-Label Local-to-Global Feature Selection. IJCNN (2021)
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 (2021)
Zeqi Yu, Bingbing Jiang, Haokai Liu
Modeling of the Digital Class-D Amplifier Based on Deep Double Feedback Elman Neural Network. ADMA (2021)
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) (2021)
Shengfei Lyu, Xing Tian, Yang Li, Bingbing Jiang, Huanhuan Chen
Probabilistic Classification Vector Machine for Multi-Class Classification. CoRR (2020)
Yangyan Xu, Chenxin Wu, Bingbing Jiang, Weiguo Sheng
An Adaptive Water Wave Optimization Algorithm with Enhanced Wave Interaction. CEC (2020)
Xingyu Wu, Bingbing Jiang, Kui Yu, Chunyan Miao, Huanhuan Chen
Accurate Markov Boundary Discovery for Causal Feature Selection. IEEE Trans. Cybern. 50 (12) (2020)
Xingyu Wu, Bingbing Jiang, Kui Yu, Huanhuan Chen, Chunyan Miao
Multi-Label Causal Feature Selection. AAAI (2020)
Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen
Multi-label Causal Variable Discovery: Learning Common Causal Variables and Label-specific Causal Variables. CoRR (2020)
Shengfei Lyu, Xing Tian, Yang Li, Bingbing Jiang, Huanhuan Chen
Multiclass Probabilistic Classification Vector Machine. IEEE Trans. Neural Networks Learn. Syst. 31 (10) (2020)
Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen
Tolerant Markov Boundary Discovery for Feature Selection. CIKM (2020)
Bingbing Jiang, Xingyu Wu, Kui Yu, Huanhuan Chen
Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach. AAAI (2019)
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) (2019)
Wei Tong, Bingbing Jiang, Fengyuan Xu, Qun Li, Sheng Zhong
Privacy-Preserving Data Integrity Verification in Mobile Edge Computing. ICDCS (2019)
Huanhuan Chen, Bingbing Jiang, Xin Yao
Semisupervised Negative Correlation Learning. IEEE Trans. Neural Networks Learn. Syst. 29 (11) (2018)
Bingbing Jiang, Yuan Zhang
-th min computations with fully homomorphic encryption. Sci. China Inf. Sci. 61 (5) (2018)
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)
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) (2018)
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) (2017)
Bingbing Jiang, Weixing Sheng, Ren-li Zhang, Yubing Han, Xiaofeng Ma
Range tracking method based on adaptive "current" statistical model with velocity prediction. Signal Process. 131 (2017)
Bingbing Jiang, Weixing Sheng, Ren-li Zhang, Yubing Han, Xiaofeng Ma
Adaptive angle tracking loop design based on digital phase-locked loop. Signal Process. 125 (2016)
Bingbing Jiang, Weixing Sheng, Ren-li Zhang, Yubing Han, Xiaofeng Ma
CPAFC-based radar seeker velocity tracking loop design. ICCAIS (2015)
Bingbing Jiang, Yuan Zhang
Privacy-preserving min and k-th min computations with fully homomorphic encryption. IPCCC (2015)