Bingbing Jiang

Orcid: 0000-0002-5545-8911

According to our database1, Bingbing Jiang authored at least 43 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Semi-Supervised Multiview Feature Selection With Adaptive Graph Learning.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Nonlinear learning method for local causal structures.
Inf. Sci., January, 2024

2023
Efficient multi-view semi-supervised feature selection.
Inf. Sci., November, 2023

Feature Selection in the Data Stream Based on Incremental Markov Boundary Learning.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Privacy-Preserving Data Integrity Verification for Secure Mobile Edge Storage.
IEEE Trans. Mob. Comput., September, 2023

Adaptive collaborative fusion for multi-view semi-supervised classification.
Inf. Fusion, August, 2023

Row-Column Overcomplete Structured Dictionary Learning for Enhanced Fault Detection and Isolation.
IEEE Trans. Ind. Informatics, May, 2023

Multi-Target Markov Boundary Discovery: Theory, Algorithm, and Application.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Structure-Guided Graphical Lasso for Process Monitoring.
Proceedings of the CAA Symposium on Fault Detection, 2023

Practical Markov Boundary Learning without Strong Assumptions.
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.
CAAI Trans. Intell. Technol., December, 2022

An Underground Pipeline Mapping Method Based on Fusion of Multisource Data.
IEEE Trans. Geosci. Remote. Sens., 2022

Domain knowledge-enhanced variable selection for biomedical data analysis.
Inf. Sci., 2022

Robust multi-view learning via adaptive regression.
Inf. Sci., 2022

Multi-key FHE without ciphertext-expansion in two-server model.
Frontiers Comput. Sci., 2022

The Potential of Rural Resources in Meeting Local Needs Through Participatory Design Interventions.
Proceedings of the Cross-Cultural Design. Interaction Design Across Cultures, 2022

2021
Multiple Kernel k-Means Clustering by Selecting Representative Kernels.
IEEE Trans. Neural Networks Learn. Syst., 2021

Symbolic Sequence Classification in the Fractal Space.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Two-Party Secure Computation for Any Polynomial Function on Ciphertexts under Different Secret Keys.
Secur. Commun. Networks, 2021

Separation and recovery Markov boundary discovery and its application in EEG-based emotion recognition.
Inf. Sci., 2021

Multi-Label Local-to-Global Feature Selection.
Proceedings of the International Joint Conference on Neural Networks, 2021

Robust Adaptive-weighting Multi-view Classification.
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.
Proceedings of the CAA Symposium on Fault Detection, 2021

Modeling of the Digital Class-D Amplifier Based on Deep Double Feedback Elman Neural Network.
Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

2020
Multiclass Probabilistic Classification Vector Machine.
IEEE Trans. Neural Networks Learn. Syst., 2020

Accurate Markov Boundary Discovery for Causal Feature Selection.
IEEE Trans. Cybern., 2020

Multi-label Causal Variable Discovery: Learning Common Causal Variables and Label-specific Causal Variables.
CoRR, 2020

Probabilistic Classification Vector Machine for Multi-Class Classification.
CoRR, 2020

Tolerant Markov Boundary Discovery for Feature Selection.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Multi-Label Causal Feature Selection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Probabilistic Feature Selection and Classification Vector Machine.
ACM Trans. Knowl. Discov. Data, 2019

Privacy-Preserving Data Integrity Verification in Mobile Edge Computing.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Latent Topic Text Representation Learning on Statistical Manifolds.
IEEE Trans. Neural Networks Learn. Syst., 2018

Semisupervised Negative Correlation Learning.
IEEE Trans. Neural Networks Learn. Syst., 2018

Securely min and <i>k</i>-th min computations with fully homomorphic encryption.
Sci. China Inf. Sci., 2018

Risk Factor Analysis of Bone Mineral Density Based on Feature Selection in Type 2 Diabetes.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

2017
Scalable Graph-Based Semi-Supervised Learning through Sparse Bayesian Model.
IEEE Trans. Knowl. Data Eng., 2017

Range tracking method based on adaptive "current" statistical model with velocity prediction.
Signal Process., 2017

2016
Adaptive angle tracking loop design based on digital phase-locked loop.
Signal Process., 2016

2015
Privacy-preserving min and k-th min computations with fully homomorphic encryption.
Proceedings of the 34th IEEE International Performance Computing and Communications Conference, 2015

CPAFC-based radar seeker velocity tracking loop design.
Proceedings of the 2015 International Conference on Control, 2015


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