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Bingbing Jiang
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2020 – today
- 2024
- [j30]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) - [j29]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) - [j28]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) - [j27]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) - [j26]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) - [j25]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) - [c17]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 - 2023
- [j24]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) - [j23]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) - [j22]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) - [j21]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) - [j20]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): 5463-5478 (2023) - [j19]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) - [c16]Xingyu Wu, Bingbing Jiang, Tianhao Wu, Huanhuan Chen:
Practical Markov Boundary Learning without Strong Assumptions. AAAI 2023: 10388-10398 - [c15]Yangfeng Lu, Chenglong Zhang, Bingbing Jiang:
Accelerated Semi-supervised Feature Selection via Adaptive Bipartite Graph. AIPR 2023: 592-598 - [c14]Zijie Luo, Weiguo Sheng, Bingbing Jiang, Yi Liu:
Structure-Guided Graphical Lasso for Process Monitoring. SAFEPROCESS 2023: 1-6 - 2022
- [j18]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) - [j17]Bingbing Jiang:
Multi-key FHE without ciphertext-expansion in two-server model. Frontiers Comput. Sci. 16(3): 161809 (2022) - [j16]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) - [j15]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) - [j14]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) - [c13]Bingbing Jiang, Kunwu Xu:
The Potential of Rural Resources in Meeting Local Needs Through Participatory Design Interventions. HCI (10) 2022: 217-228 - 2021
- [j13]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) - [j12]Bingbing Jiang:
Two-Party Secure Computation for Any Polynomial Function on Ciphertexts under Different Secret Keys. Secur. Commun. Networks 2021: 6695304:1-6695304:7 (2021) - [j11]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) - [j10]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) - [c12]Zeqi Yu, Bingbing Jiang, Haokai Liu:
Modeling of the Digital Class-D Amplifier Based on Deep Double Feedback Elman Neural Network. ADMA 2021: 314-325 - [c11]Yi Liu, Jiusun Zeng, Bingbing Jiang, Xun Lang, Lei Xie:
Structured Dictionary Learning for Fault Detection and Isolation. CAA SAFEPROCESS 2021: 1-6 - [c10]Bingbing Jiang, Junhao Xiang, Xingyu Wu, Wenda He, Libin Hong, Weiguo Sheng:
Robust Adaptive-weighting Multi-view Classification. CIKM 2021: 3117-3121 - [c9]Yan Zhong, Xingyu Wu, Bingbing Jiang, Huanhuan Chen:
Multi-Label Local-to-Global Feature Selection. IJCNN 2021: 1-8 - 2020
- [j9]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) - [j8]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) - [c8]Xingyu Wu, Bingbing Jiang, Kui Yu, Huanhuan Chen, Chunyan Miao:
Multi-Label Causal Feature Selection. AAAI 2020: 6430-6437 - [c7]Yangyan Xu, Chenxin Wu, Bingbing Jiang, Weiguo Sheng:
An Adaptive Water Wave Optimization Algorithm with Enhanced Wave Interaction. CEC 2020: 1-8 - [c6]Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen:
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
- [j7]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) - [c5]Bingbing Jiang, Xingyu Wu, Kui Yu, Huanhuan Chen:
Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach. AAAI 2019: 3983-3990 - [c4]Wei Tong, Bingbing Jiang, Fengyuan Xu, Qun Li, Sheng Zhong:
Privacy-Preserving Data Integrity Verification in Mobile Edge Computing. ICDCS 2019: 1007-1018 - 2018
- [j6]Bingbing Jiang, Yuan Zhang:
Securely min and k-th min computations with fully homomorphic encryption. Sci. China Inf. Sci. 61(5): 058103:1-058103:3 (2018) - [j5]Huanhuan Chen, Bingbing Jiang, Xin Yao:
Semisupervised Negative Correlation Learning. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5366-5379 (2018) - [j4]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) - [c3]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 - 2017
- [j3]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: 261-270 (2017) - [j2]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) - 2016
- [j1]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: 221-236 (2016) - 2015
- [c2]Bingbing Jiang, Weixing Sheng, Ren-li Zhang, Yubing Han, Xiaofeng Ma:
CPAFC-based radar seeker velocity tracking loop design. ICCAIS 2015: 432-435 - [c1]Bingbing Jiang, Yuan Zhang:
Privacy-preserving min and k-th min computations with fully homomorphic encryption. IPCCC 2015: 1-8
Coauthor Index
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last updated on 2024-09-21 02:37 CEST by the dblp team
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