Ge Zheng

Orcid: 0000-0002-9983-7120

According to our database1, Ge Zheng authored at least 21 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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On csauthors.net:

Bibliography

2024
Modeling Traffic Congestion Spreading Using a Topology-Based SIR Epidemic Model.
IEEE Access, 2024

2023
Federated machine learning for privacy preserving, collective supply chain risk prediction.
Int. J. Prod. Res., December, 2023

Hybrid deep learning models for traffic prediction in large-scale road networks.
Inf. Fusion, April, 2023

MhaGNN: A Novel Framework for Wearable Sensor-Based Human Activity Recognition Combining Multi-Head Attention and Graph Neural Networks.
IEEE Trans. Instrum. Meas., 2023

VDGCNeT: A novel network-wide Virtual Dynamic Graph Convolution Neural network and Transformer-based traffic prediction model.
Knowl. Based Syst., 2023

Cross-Edge Orchestration of Serverless Functions with Probabilistic Caching.
CoRR, 2023

DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Spatio-Temporal Evolution Characteristics and Driving Mechanism of Gazelle Enterprises: a Case Study on Jiangsu Province, China.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

CoTDet: Affordance Knowledge Prompting for Task Driven Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Temporal Collection and Distribution for Referring Video Object Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Contrastive Grouping with Transformer for Referring Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Secure Co-Creation of Industrial Knowledge Graph: Graph Complement Method with Federated Learning and ChatGPT.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022
A dynamic spatial-temporal deep learning framework for traffic speed prediction on large-scale road networks.
Expert Syst. Appl., 2022

2021
Mass-Flow-Rate Measurement of Pneumatically Conveyed Particles Through Acoustic Emission Detection and Electrostatic Sensing.
IEEE Trans. Instrum. Meas., 2021

Online Measurement of the Size Distribution of Pneumatically Conveyed Particles Through Acoustic Emission Detection and Triboelectric Sensing.
IEEE Trans. Instrum. Meas., 2021

A joint temporal-spatial ensemble model for short-term traffic prediction.
Neurocomputing, 2021

The Sequence-to-Sequence Architecture with An Embedded Module for Long-Term Traffic Speed Forecasting with Missing Data.
Proceedings of the 26th International Conference on Automation and Computing, 2021

2019
Using Machine Learning Techniques to Optimize Fall Detection Algorithms in Smart Wristband.
Proceedings of the 25th International Conference on Automation and Computing, 2019

An Ensemble Model for Short-Term Traffic Prediction in Smart City Transportation System.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Efficient charging for batteryless solutions in energy harvesting.
Proceedings of the 11th Computer Science and Electronic Engineering Conference, 2019

GlobalFlow: A Cross-Region Orchestration Service for Serverless Computing Services.
Proceedings of the 12th IEEE International Conference on Cloud Computing, 2019


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