Ge Zheng

According to our database, Ge Zheng authored at least 26 papers between 2019 and 2025.

Collaborative distances:

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

2025

Predictive alarm models for improving radio access network robustness.

Luning Li, Manuel Herrera, Anandarup Mukherjee, Ge Zheng, Chen Chen, Maharshi Harshadbhai Dhada, Henry Brice, Arjun Parekh, Ajith Kumar Parlikad

Expert Syst. Appl., 2025

2024

Cross-Edge Orchestration of Serverless Functions With Probabilistic Caching.

Chen Chen, Manuel Herrera, Ge Zheng, Liqiao Xia, Zhengyang Ling, Jiangtao Wang

IEEE Trans. Serv. Comput., 2024

Concurrent Measurement of the Size Distribution and Velocity of Pneumatically Conveyed Biomass Solids Using Acoustic Emission and Electrostatic Sensors.

Ge Zheng, Yong Yan, Lijuan Wang, Yonghui Hu, Xingxing Zeng

IEEE Trans. Instrum. Meas., 2024

Digital supply chain surveillance using artificial intelligence: definitions, opportunities and risks.

Alexandra Brintrup, Edward Elson Kosasih, Philipp Schaffer, Ge Zheng, Güven Demirel, Bart L. MacCarthy

Int. J. Prod. Res., 2024

Enhancing Supply Chain Visibility with Generative AI: An Exploratory Case Study on Relationship Prediction in Knowledge Graphs.

Ge Zheng, Alexandra Brintrup

CoRR, 2024

Modeling Traffic Congestion Spreading Using a Topology-Based SIR Epidemic Model.

Assemgul Kozhabek, Wei Koong Chai, Ge Zheng

IEEE Access, 2024

WildRefer: 3D Object Localization in Large-Scale Dynamic Scenes with Multi-modal Visual Data and Natural Language.

Zhenxiang Lin, Xidong Peng, Peishan Cong, Ge Zheng, Yujing Sun, Yuenan Hou, Xinge Zhu, Sibei Yang, Yuexin Ma

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Federated machine learning for privacy preserving, collective supply chain risk prediction.

Ge Zheng, Lingxuan Kong, Alexandra Brintrup

Int. J. Prod. Res., December, 2023

Hybrid deep learning models for traffic prediction in large-scale road networks.

Ge Zheng, Wei Koong Chai, Jing-Lin Duanmu, Vasilis Katos

Inf. Fusion, April, 2023

MhaGNN: A Novel Framework for Wearable Sensor-Based Human Activity Recognition Combining Multi-Head Attention and Graph Neural Networks.

Yan Wang, Xin Wang, Hongmei Yang, Yingrui Geng, Hongnian Yu, Ge Zheng, Liang Liao

IEEE Trans. Instrum. Meas., 2023

VDGCNeT: A novel network-wide Virtual Dynamic Graph Convolution Neural network and Transformer-based traffic prediction model.

Ge Zheng, Wei Koong Chai, Jiankang Zhang, Vasilis Katos

Knowl. Based Syst., 2023

DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models.

Ge Zheng, Bin Yang, Jiajin Tang, Hong-Yu Zhou, Sibei Yang

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.

Hongxi Chen, Ge Zheng, Rongting Zhang, Maomiao Lü

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

CoTDet: Affordance Knowledge Prompting for Task Driven Object Detection.

Jiajin Tang, Ge Zheng, Jingyi Yu, Sibei Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Temporal Collection and Distribution for Referring Video Object Segmentation.

Jiajin Tang, Ge Zheng, Sibei Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Contrastive Grouping with Transformer for Referring Image Segmentation.

Jiajin Tang, Ge Zheng, Cheng Shi, Sibei Yang

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.

Liqiao Xia, Pai Zheng, Yongshi Liang, Ge Zheng, Zhengyang Ling

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.

Ge Zheng, Wei Koong Chai, Vasilis Katos

Expert Syst. Appl., 2022

2021

Mass-Flow-Rate Measurement of Pneumatically Conveyed Particles Through Acoustic Emission Detection and Electrostatic Sensing.

Ge Zheng, Yong Yan, Yonghui Hu, Wenbiao Zhang, Long Yang, Lanqi Li

IEEE Trans. Instrum. Meas., 2021

Online Measurement of the Size Distribution of Pneumatically Conveyed Particles Through Acoustic Emission Detection and Triboelectric Sensing.

Ge Zheng, Yong Yan, Yonghui Hu, Wenbiao Zhang

IEEE Trans. Instrum. Meas., 2021

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

Ge Zheng, Wei Koong Chai, Vasilis Katos, Michael Walton

Neurocomputing, 2021

The Sequence-to-Sequence Architecture with An Embedded Module for Long-Term Traffic Speed Forecasting with Missing Data.

Ge Zheng, Wei Koong Chai, Vasilis Katos

Proceedings of the 26th International Conference on Automation and Computing, 2021

2019

Using Machine Learning Techniques to Optimize Fall Detection Algorithms in Smart Wristband.

Ge Zheng, Hongtao Zhang, Keming Zhou, Huosheng Hu

Proceedings of the 25th International Conference on Automation and Computing, 2019

An Ensemble Model for Short-Term Traffic Prediction in Smart City Transportation System.

Ge Zheng, Wei Koong Chai, Vasilis Katos

Proceedings of the 2019 IEEE Global Communications Conference, 2019

Efficient charging for batteryless solutions in energy harvesting.

Michael Walton, John Woods, Ge Zheng

Proceedings of the 11th Computer Science and Electronic Engineering Conference, 2019

GlobalFlow: A Cross-Region Orchestration Service for Serverless Computing Services.

Ge Zheng, Yang Peng

Proceedings of the 12th IEEE International Conference on Cloud Computing, 2019