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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j13]Luning Li
, Manuel Herrera, Anandarup Mukherjee, Ge Zheng, Chen Chen, Maharshi Harshadbhai Dhada, Henry Brice, Arjun Parekh, Ajith Kumar Parlikad:
Predictive alarm models for improving radio access network robustness. Expert Syst. Appl. 259: 125312 (2025)- 2024
- [j12]Assemgul Kozhabek, Wei Koong Chai, Ge Zheng:
Modeling Traffic Congestion Spreading Using a Topology-Based SIR Epidemic Model. IEEE Access 12: 35813-35826 (2024) - [j11]Alexandra Brintrup, Edward Elson Kosasih, Philipp Schaffer, Ge Zheng, Güven Demirel, Bart L. MacCarthy:
Digital supply chain surveillance using artificial intelligence: definitions, opportunities and risks. Int. J. Prod. Res. 62(13): 4674-4695 (2024) - [j10]Ge Zheng, Yong Yan, Lijuan Wang, Yonghui Hu, Xingxing Zeng:
Concurrent Measurement of the Size Distribution and Velocity of Pneumatically Conveyed Biomass Solids Using Acoustic Emission and Electrostatic Sensors. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j9]Chen Chen, Manuel Herrera, Ge Zheng, Liqiao Xia, Zhengyang Ling, Jiangtao Wang:
Cross-Edge Orchestration of Serverless Functions With Probabilistic Caching. IEEE Trans. Serv. Comput. 17(5): 2139-2150 (2024) - [c13]Zhenxiang Lin, Xidong Peng, Peishan Cong, Ge Zheng, Yujing Sun, Yuenan Hou, Xinge Zhu, Sibei Yang, Yuexin Ma:
WildRefer: 3D Object Localization in Large-Scale Dynamic Scenes with Multi-modal Visual Data and Natural Language. ECCV (46) 2024: 456-473 - 2023
- [j8]Ge Zheng, Lingxuan Kong, Alexandra Brintrup:
Federated machine learning for privacy preserving, collective supply chain risk prediction. Int. J. Prod. Res. 61(23): 8115-8132 (2023) - [j7]Ge Zheng, Wei Koong Chai, Jing-Lin Duanmu, Vasilis Katos:
Hybrid deep learning models for traffic prediction in large-scale road networks. Inf. Fusion 92: 93-114 (2023) - [j6]Ge Zheng, Wei Koong Chai, Jiankang Zhang, Vasilis Katos:
VDGCNeT: A novel network-wide Virtual Dynamic Graph Convolution Neural network and Transformer-based traffic prediction model. Knowl. Based Syst. 275: 110676 (2023) - [j5]Yan Wang, Xin Wang, Hongmei Yang, Yingrui Geng, Hongnian Yu, Ge Zheng, Liang Liao:
MhaGNN: A Novel Framework for Wearable Sensor-Based Human Activity Recognition Combining Multi-Head Attention and Graph Neural Networks. IEEE Trans. Instrum. Meas. 72: 1-14 (2023) - [c12]Liqiao Xia, Pai Zheng, Yongshi Liang, Ge Zheng, Zhengyang Ling:
Secure Co-Creation of Industrial Knowledge Graph: Graph Complement Method with Federated Learning and ChatGPT. CASE 2023: 1-6 - [c11]Jiajin Tang, Ge Zheng, Cheng Shi, Sibei Yang:
Contrastive Grouping with Transformer for Referring Image Segmentation. CVPR 2023: 23570-23580 - [c10]Jiajin Tang, Ge Zheng, Jingyi Yu, Sibei Yang:
CoTDet: Affordance Knowledge Prompting for Task Driven Object Detection. ICCV 2023: 3045-3055 - [c9]Jiajin Tang, Ge Zheng, Sibei Yang:
Temporal Collection and Distribution for Referring Video Object Segmentation. ICCV 2023: 15420-15430 - [c8]Hongxi Chen, Ge Zheng, Rongting Zhang, Maomiao Lü:
Spatio-Temporal Evolution Characteristics and Driving Mechanism of Gazelle Enterprises: a Case Study on Jiangsu Province, China. IGARSS 2023: 2500-2503 - [c7]Ge Zheng, Bin Yang, Jiajin Tang, Hong-Yu Zhou, Sibei Yang:
DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models. NeurIPS 2023 - [i5]Jiajin Tang, Ge Zheng, Cheng Shi, Sibei Yang:
Contrastive Grouping with Transformer for Referring Image Segmentation. CoRR abs/2309.01017 (2023) - [i4]Jiajin Tang, Ge Zheng, Jingyi Yu, Sibei Yang:
CoTDet: Affordance Knowledge Prompting for Task Driven Object Detection. CoRR abs/2309.01093 (2023) - [i3]Jiajin Tang, Ge Zheng, Sibei Yang:
Temporal Collection and Distribution for Referring Video Object Segmentation. CoRR abs/2309.03473 (2023) - [i2]Chen Chen, Manuel Herrera, Ge Zheng, Liqiao Xia, Zhengyang Ling, Jiangtao Wang:
Cross-Edge Orchestration of Serverless Functions with Probabilistic Caching. CoRR abs/2310.04185 (2023) - [i1]Ge Zheng, Bin Yang, Jiajin Tang, Hong-Yu Zhou, Sibei Yang:
DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models. CoRR abs/2310.16436 (2023) - 2022
- [j4]Ge Zheng, Wei Koong Chai, Vasilis Katos:
A dynamic spatial-temporal deep learning framework for traffic speed prediction on large-scale road networks. Expert Syst. Appl. 195: 116585 (2022) - 2021
- [j3]Ge Zheng, Wei Koong Chai, Vasilis Katos, Michael Walton:
A joint temporal-spatial ensemble model for short-term traffic prediction. Neurocomputing 457: 26-39 (2021) - [j2]Ge Zheng, Yong Yan, Yonghui Hu, Wenbiao Zhang:
Online Measurement of the Size Distribution of Pneumatically Conveyed Particles Through Acoustic Emission Detection and Triboelectric Sensing. IEEE Trans. Instrum. Meas. 70: 1-17 (2021) - [j1]Ge Zheng, Yong Yan, Yonghui Hu, Wenbiao Zhang, Long Yang, Lanqi Li:
Mass-Flow-Rate Measurement of Pneumatically Conveyed Particles Through Acoustic Emission Detection and Electrostatic Sensing. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [c6]Ge Zheng, Wei Koong Chai, Vasilis Katos:
The Sequence-to-Sequence Architecture with An Embedded Module for Long-Term Traffic Speed Forecasting with Missing Data. ICAC 2021: 1-6 - 2020
- [c5]Ge Zheng, Yong Yan, Yonghui Hu, Wenbiao Zhang, Long Yang, Lanqi Li:
Mass Flow Rate Measurement of Pneumatically Conveyed Particles Through Acoustic Emission Detection and Electrostatic Sensing. I2MTC 2020: 1-5
2010 – 2019
- 2019
- [c4]Ge Zheng, Yang Peng:
GlobalFlow: A Cross-Region Orchestration Service for Serverless Computing Services. CLOUD 2019: 508-510 - [c3]Michael Walton, John Woods, Ge Zheng:
Efficient charging for batteryless solutions in energy harvesting. CEEC 2019: 7-11 - [c2]Ge Zheng, Wei Koong Chai, Vasilis Katos:
An Ensemble Model for Short-Term Traffic Prediction in Smart City Transportation System. GLOBECOM 2019: 1-6 - [c1]Ge Zheng, Hongtao Zhang, Keming Zhou, Huosheng Hu:
Using Machine Learning Techniques to Optimize Fall Detection Algorithms in Smart Wristband. ICAC 2019: 1-6
Coauthor Index
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