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Liu Bo
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Cited by
Year
A novel optimal support vector machine ensemble model for NOX emissions prediction of a diesel engine
B Liu, J Hu, F Yan, RF Turkson, F Lin
Measurement 92, 183-192, 2016
652016
Distributed training for multi-layer neural networks by consensus
B Liu, Z Ding, C Lv
IEEE transactions on neural networks and learning systems 31 (5), 1771-1778, 2019
482019
A distributed deep reinforcement learning method for traffic light control
B Liu, Z Ding
Neurocomputing 490, 390-399, 2022
472022
Velocity-based path following control for autonomous vehicles to avoid exceeding road friction limits using sliding mode method
Z Liang, J Zhao, B Liu, Y Wang, Z Ding
IEEE transactions on intelligent transportation systems 23 (3), 1947-1958, 2020
442020
Nox conversion efficiency optimization based on NSGA-II and state-feedback nonlinear model predictive control of selective catalytic reduction system in diesel engine
L Wei, F Yan, J Hu, G Xi, B Liu, J Zeng
Applied Energy 206, 959-971, 2017
412017
Mixing mechanism of a straight channel micromixer based on light-actuated oscillating electroosmosis in low-frequency sinusoidal AC electric field
H Ding, X Zhong, B Liu, L Shi, T Zhou, Y Zhu
Microfluidics and Nanofluidics 25, 1-15, 2021
402021
Modeling and multi-objective optimization of engine performance and hydrocarbon emissions via the use of a computer aided engineering code and the NSGA-II genetic algorithm
RF Turkson, F Yan, MKA Ali, B Liu, J Hu
Sustainability 8 (1), 72, 2016
292016
Consensus-based cooperative algorithms for training over distributed data sets using stochastic gradients
Z Li, B Liu, Z Ding
IEEE Transactions on Neural Networks and Learning Systems 33 (10), 5579-5589, 2021
252021
Modeling and Multi-Objective Optimization of NOx Conversion Efficiency and NH3 Slip for a Diesel Engine
B Liu, F Yan, J Hu, RF Turkson, F Lin
Sustainability 8 (5), 478, 2016
252016
FedForecast: A federated learning framework for short-term probabilistic individual load forecasting in smart grid
Y Liu, Z Dong, B Liu, Y Xu, Z Ding
International Journal of Electrical Power & Energy Systems 152, 109172, 2023
172023
A consensus-based decentralized training algorithm for deep neural networks with communication compression
B Liu, Z Ding
Neurocomputing 440, 287-296, 2021
172021
Development of a novel microfluidic biosensing platform integrating micropillar array electrode and acoustic microstreaming techniques
C Chen, B Ran, B Liu, X Liu, Y Liu, M Lan, R Manasseh, Y Zhu
Biosensors and Bioelectronics 223, 114703, 2023
162023
Platoon control of connected autonomous vehicles: A distributed reinforcement learning method by consensus
B Liu, Z Ding, C Lv
IFAC-PapersOnLine 53 (2), 15241-15246, 2020
162020
Distributed heuristic adaptive neural networks with variance reduction in switching graphs
B Liu, Z Ding
IEEE Transactions on Cybernetics 51 (7), 3836-3844, 2019
142019
Enhance local consistency in federated learning: A multi-step inertial momentum approach
Y Liu, Y Sun, Z Ding, L Shen, B Liu, D Tao
arXiv preprint arXiv:2302.05726, 2023
82023
Household profile identification for retailers based on personalized federated learning
Y Liu, B Liu, X Guo, Y Xu, Z Ding
Energy 275, 127431, 2023
62023
Byzantine-robust Decentralized Federated Learning via Dual-domain Clustering and Trust Bootstrapping
P Sun, X Liu, Z Wang, B Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
32024
Cooperative training over networks via consensus-based algorithms
Z Li, B Liu, Z Dong, Z Ding
2021 40th Chinese Control Conference (CCC), 5309-5314, 2021
32021
Optimal Energy Storage Operation under Demand Uncertainty: A Prospect Theory Analysis
Q Huang, J Xu, P Sun, B Liu, C Courcoubetis
2023 IEEE International Conference on Communications, Control, and Computing …, 2023
22023
Recruiting Heterogeneous Crowdsource Vehicles for Updating a High-Definition Map
W Ye, Y Luo, B Liu, J Huang
2023 21st International Symposium on Modeling and Optimization in Mobile, Ad …, 2023
22023
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