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Author

Weibang Li

ORCID: 0000-0002-0947-4806
Observed ORCID: 0000-0002-0947-4806
OpenAlex ID: A5054334234
Time Series Prediction Based on LSTM-Attention-LSTM Model
2023 · Xianyun Wen, Weibang Li · IEEE Access · 406
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Cloud–Edge–End Collaborative Federated Learning: Enhancing Model Accuracy and Privacy in Non-IID Environments
2024 · Ling Li, Lidong Zhu, et al. · Sensors · 25
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Privacy-Preserving Federated Learning for Space–Air–Ground Integrated Networks: A Bi-Level Reinforcement Learning and Adaptive Transfer Learning Optimization Framework
2025 · Ling Li, Lidong Zhu, et al. · Sensors · 15
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Statistical relational learning based automatic data cleaning
2019 · Weibang Li, Ling Li, et al. · Frontiers of Computer Science · 8
HiSatFL: A Hierarchical Federated Learning Framework for Satellite Networks with Cross-Domain Privacy Adaptation
2025 · Ling Li, Lidong Zhu, et al. · Electronics · 6
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Adaptive Compressed Sensing Differential Privacy Federated Learning Based on Orbital Spatiotemporal Characteristics in Space–Air–Ground Networks
2026 · Weibang Li, Ling Li, et al. · Sensors · 1
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Multi-task Scheduling with Dependencies in Heterogeneous Edge Arithmetic Networks
2023 · Weibang Li, Ling Li · International Joint Conference on Neural Networks (IJCNN) · 1
Privacy-Preserving Federated Learning with Differential Privacy and Adaptive Knowledge Distillation for Dynamic Non-IID Data
2025 · Ling Li, Lidong Zhu, et al. · International Symposium on Networks, Computers and Communications (ISNCC)
A Representation Learning Approach Incorporating Entity Descriptions and Types
2023 · Ling Li, Lidong Zhu, et al. · International Symposium on Networks, Computers and Communications (ISNCC)
Deep time series missing data from self-attention-based inference model
2023 · Ziyu Li, Weibang Li, et al. · International Symposium on Computer Technology and Information Science (ISCTIS)
Automatic Data Repairs with Statistical Relational Learning
2021 · Ling Li, Weibang Li, et al. · International Symposium on Networks, Computers and Communications (ISNCC)
Works count: 11
Citation count: 462
H-index: 5
I10-index: 3
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