Bo Liu

According to our database, Bo Liu authored at least 23 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Intertemporal Optimization of Formation Control for Nonlinear Networks With Multiple Constraints: A Reach-Avoid Game Approach.

Bowen Peng, Bo Liu, Gangshan Jing, Zhengtao Ding, Yongduan Song

IEEE Trans. Autom. Control., March, 2026

REACH: Reinforcement Learning for Efficient Allocation in Community and Heterogeneous Networks.

Zhiwei Yu, Chengze Du, Heng Xu, Ying Zhou, Bo Liu, Jialong Li

IEEE Trans. Netw. Serv. Manag., 2026

Gsched: Coordinated Flow-Control and Priority Scheduling for DNN Training in AI Cluster.

Heng Xu, Chengze Du, Zhiwei Yu, Letian Li, Ying Zhou, Bo Liu, Jialong Li

IEEE Trans. Netw. Sci. Eng., 2026

S3AD: Efficient industrial anomaly detection via selection, space, and scale.

Zhonghua Peng, Chengyang Dong, Bo Liu, Zuoyong Li, Kun Zeng, Jialong Li

Pattern Recognit., 2026

2025

Pricing Demand-Side Flexibility via Mean-Field Reverse Stackelberg Game.

Qisheng Huang, Yunpeng Li, Bo Liu, Gaoqi Liang, Junhua Zhao, Costas Courcoubetis

IEEE Trans. Consumer Electron., November, 2025

PLATONT: Learning a Platonic Representation for Unified Network Tomography.

Chengze Du, Heng Xu, Zhiwei Yu, Bo Liu, Jialong Li

CoRR, November, 2025

Efficient and Cost-Effective Vehicle Recruitment for HD Map Crowdsourcing.

Wentao Ye, Yuan Luo, Bo Liu, Jianwei Huang

IEEE Trans. Mob. Comput., August, 2025

Cross-Timeslot Optimization for Distributed GPU Inference Using Reinforcement Learning.

Chengze Du, Zhiwei Yu, Heng Xu, Haojie Wang, Bo Liu, Jialong Li

CoRR, July, 2025

Strategic Storage Investment and Operation Under Uncertainty: Behavioral Economics Analysis.

Qisheng Huang, Jin Xu, Peng Sun, Bo Liu, Ting Wu, Costas Courcoubetis

IEEE Trans. Netw. Sci. Eng., 2025

Decentralized neighboring information fusion for traffic network signal control.

Bo Liu, Xinyang Liu, Chang Chen, Jianwei Huang, Zhengtao Ding

Neurocomputing, 2025

SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning.

Xinyang Liu, Pengchao Han, Xuan Li, Bo Liu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Cell-Less Offloading of Distributed Learning Tasks in Multi-Access Edge Computing.

Pengchao Han, Bo Liu, Yejun Liu, Lei Guo

IEEE Trans. Mob. Comput., December, 2024

Byzantine-robust Decentralized Federated Learning via Dual-domain Clustering and Trust Bootstrapping.

Peng Sun, Xinyang Liu, Zhibo Wang, Bo Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Dual Role AoI-based Incentive Mechanism for HD map Crowdsourcing.

Wentao Ye, Bo Liu, Yuan Luo, Jianwei Huang

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Enhance Local Consistency in Federated Learning: A Multi-Step Inertial Momentum Approach.

Yixing Liu, Yan Sun, Zhengtao Ding, Li Shen, Bo Liu, Dacheng Tao

CoRR, 2023

Recruiting Heterogeneous Crowdsource Vehicles for Updating a High-Definition Map.

Wentao Ye, Yuan Luo, Bo Liu, Jianwei Huang

Proceedings of the 21st International Symposium on Modeling and Optimization in Mobile, 2023

Optimal Energy Storage Operation under Demand Uncertainty: A Prospect Theory Analysis.

Qisheng Huang, Jin Xu, Peng Sun, Bo Liu, Costas Courcoubetis

Proceedings of the IEEE International Conference on Communications, 2023

2022

Consensus-Based Cooperative Algorithms for Training Over Distributed Data Sets Using Stochastic Gradients.

Zhongguo Li, Bo Liu, Zhengtao Ding

IEEE Trans. Neural Networks Learn. Syst., 2022

Velocity-Based Path Following Control for Autonomous Vehicles to Avoid Exceeding Road Friction Limits Using Sliding Mode Method.

Zhongchao Liang, Jing Zhao, Bo Liu, Yongfu Wang, Zhengtao Ding

IEEE Trans. Intell. Transp. Syst., 2022

A distributed deep reinforcement learning method for traffic light control.

Bo Liu, Zhengtao Ding

Neurocomputing, 2022

2021

Distributed Heuristic Adaptive Neural Networks With Variance Reduction in Switching Graphs.

Bo Liu, Zhengtao Ding

IEEE Trans. Cybern., 2021

A consensus-based decentralized training algorithm for deep neural networks with communication compression.

Bo Liu, Zhengtao Ding

Neurocomputing, 2021

2020

Distributed Training for Multi-Layer Neural Networks by Consensus.

Bo Liu, Zhengtao Ding, Chen Lv

IEEE Trans. Neural Networks Learn. Syst., 2020