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 | 65 | 2016 |
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 | 48 | 2019 |
A distributed deep reinforcement learning method for traffic light control B Liu, Z Ding Neurocomputing 490, 390-399, 2022 | 47 | 2022 |
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 | 44 | 2020 |
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 | 41 | 2017 |
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 | 40 | 2021 |
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 | 29 | 2016 |
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 | 25 | 2021 |
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 | 25 | 2016 |
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 | 17 | 2023 |
A consensus-based decentralized training algorithm for deep neural networks with communication compression B Liu, Z Ding Neurocomputing 440, 287-296, 2021 | 17 | 2021 |
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 | 16 | 2023 |
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 | 16 | 2020 |
Distributed heuristic adaptive neural networks with variance reduction in switching graphs B Liu, Z Ding IEEE Transactions on Cybernetics 51 (7), 3836-3844, 2019 | 14 | 2019 |
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 | 8 | 2023 |
Household profile identification for retailers based on personalized federated learning Y Liu, B Liu, X Guo, Y Xu, Z Ding Energy 275, 127431, 2023 | 6 | 2023 |
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 | 3 | 2024 |
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 | 3 | 2021 |
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 | 2 | 2023 |
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 | 2 | 2023 |