Mingsong Chen

发表

Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation

Jun Xia, Ting Wang, Jiepin Ding, 2022, IJCAI.

Profit-Driven Dynamic Cloud Pricing for Multiserver Systems Considering User Perceived Value

Kun Cao, Junlong Zhou, Tongquan Wei, 2018 .

FedEntropy: Efficient Device Grouping for Federated Learning Using Maximum Entropy Judgment

Jun Xia, Ting Wang, Mingsong Chen, 2022, ArXiv.

A weighted adaptive transfer learning for tool tip dynamics prediction of different machine tools

K. Li, Chaochao Qiu, Mingsong Chen, 2022, Comput. Ind. Eng..

Multiserver configuration for cloud service profit maximization in the presence of soft errors based on grouped grey wolf optimizer

Mingsong Chen, Peijin Cong, Junlong Zhou, 2022, J. Syst. Archit..

Model-Contrastive Learning for Backdoor Defense

Jun Xia, Ting Wang, Xian Wei, 2022, ArXiv.

Modeling and tagging of time sequence signals in the milling process based on an improved hidden semi-Markov model

K. Li, Chaochao Qiu, Mingsong Chen, 2022, Expert Systems with Applications.

FedMR: Fedreated Learning via Model Recombination

Xian Wei, Mingsong Chen, Zhiwei Ling, 2022, ArXiv.

ICE: Intelligent Caching at the Edge

Ting Wang, Mingsong Chen, Shui Yu, 2021, 2021 IEEE Global Communications Conference (GLOBECOM).

PervasiveFL: Pervasive Federated Learning for Heterogeneous IoT Systems

Jun Xia, Ting Wang, Mingsong Chen, 2022, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Learning Extremely Lightweight and Robust Model with Differentiable Constraints on Sparsity and Condition Number

Xian Wei, Mingsong Chen, Hairong Lv, 2022, ECCV.

FedCross: Towards Accurate Federated Learning via Multi-Model Cross Aggregation

Yang Liu, Mingsong Chen, Zhiwei Ling, 2022, ArXiv.

A Survey of AI-Enabled Dynamic Manufacturing Scheduling: From Directed Heuristics to Autonomous Learning

Ting Wang, Jiepin Ding, Mingsong Chen, 2023, ACM Computing Surveys.

EC-BAAS: Elliptic curve-based batch anonymous authentication scheme for Internet of Vehicles

Junlong Zhou, Gongxuan Zhang, Minhui Zou, 2021, J. Syst. Archit..

Learning from Attacks: Attacking Variational Autoencoder for Improving Image Classification

Fan Yang, Mingsong Chen, Xian Wei, 2022, ArXiv.

Machine Learning Empowered Intelligent Data Center Networking: A Survey

Bo Li, Mingsong Chen, Mounir Hamdi, 2022, ArXiv.

IPDALight: Intensity- and phase duration-aware traffic signal control based on Reinforcement Learning

Tongquan Wei, Ting Wang, Jiepin Ding, 2021, Journal of Systems Architecture.

MonitorLight

Fan Zhang, Ting Wang, Mingsong Chen, 2022, Proceedings of the 31st ACM International Conference on Information & Knowledge Management.

MonitorLight: Reinforcement Learning-based Traffic Signal Control Using Mixed Pressure Monitoring

Fan Zhang, Ting Wang, Mingsong Chen, 2022, CIKM.

EqGAN: Feature Equalization Fusion for Few-shot Image Generation

Yingbo Zhou, Pengyu Zhang, Xian Wei, 2023, ArXiv.

Autoencoders with Intrinsic Dimension Constraints for Learning Low Dimensional Image Representations

Hao Shen, Xian Wei, Mingsong Chen, 2023, ArXiv.

Multi-Agent Reinforcement Learning for Dynamic Resource Management in 6G in-X Subnetworks

Yuanming Shi, Qi Feng, Mingsong Chen, 2022, IEEE Transactions on Wireless Communications.

CyclicFL: A Cyclic Model Pre-Training Approach to Efficient Federated Learning

Yingbo Zhou, Xian Wei, Mingsong Chen, 2023, ArXiv.

DDoS Attack Detection Combining Time Series-based Multi-dimensional Sketch and Machine Learning

Yuanfeng Han, Mingsong Chen, Yimin Xu, 2022, Asia-Pacific Network Operations and Management Symposium.

Orthogonal Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting

Xian Wei, Mingsong Chen, Ming Hu, 2022, IEEE Symposium Series on Computational Intelligence.

InitLight: Initial Model Generation for Traffic Signal Control Using Adversarial Inverse Reinforcement Learning

Yingbo Zhou, Ting Wang, Jiepin Ding, 2023, IJCAI.

FairLight: Fairness-Aware Autonomous Traffic Signal Control With Hierarchical Action Space

Ting Wang, Jiepin Ding, Xian Wei, 2023, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Towards Fast and Accurate Federated Learning with non-IID Data for Cloud-Based IoT Applications

Jiahao Ding, Ting Wang, Mingsong Chen, 2022, J. Circuits Syst. Comput..

A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold

Xian Wei, Mingsong Chen, Yanhong Fei, 2023, ArXiv.

A novel adversarial domain adaptation transfer learning method for tool wear state prediction

K. Li, Mingsong Chen, Yongcheng Lin, 2022, Knowl. Based Syst..

Model-Contrastive Learning for Backdoor Defense

Jun Xia, Ting Wang, Xian Wei, 2022, ArXiv.

A Survey of AI-enabled Dynamic Manufacturing Scheduling: From Directed Heuristics to Autonomous Learning

Ting Wang, Jiepin Ding, Mingsong Chen, 2023, ACM Comput. Surv..

Geodesic Self-Attention for 3D Point Clouds

Xian Wei, Mingsong Chen, Xuan Tang, 2022, NeurIPS.

CCH-YOLOX: Improved YOLOX for Challenging Vehicle Detection from UAV Images

Song Qiu, Qingli Li, Yue Lu, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

A new dynamic security defense system based on TCP_REPAIR and deep learning

Mingsong Chen, Haoyu Chen, Jianxun Tang, 2023, Journal of Cloud Computing.

HierarchyFL: Heterogeneous Federated Learning via Hierarchical Self-Distillation

Y. Zhang, Jun Xia, Xian Wei, 2022, ArXiv.