GlobalFlow: A Cross-Region Orchestration Service for Serverless Computing Services. - Ge Zheng; Yang Peng (CLOUD, 2019)

Efficient charging for batteryless solutions in energy harvesting. - Michael Walton; John Woods; Ge Zheng (CEEC, 2019)

An Ensemble Model for Short-Term Traffic Prediction in Smart City Transportation System. - Ge Zheng; Wei Koong Chai; Vasilis Katos (GLOBECOM, 2019)

Using Machine Learning Techniques to Optimize Fall Detection Algorithms in Smart Wristband. - Ge Zheng; Hongtao Zhang 006; Keming Zhou; Huosheng Hu (ICAC, 2019)

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 (ICAC, 2021)

A joint temporal-spatial ensemble model for short-term traffic prediction. - Ge Zheng; Wei Koong Chai; Vasilis Katos; Michael Walton (Neurocomputing, 2021)

Online Measurement of the Size Distribution of Pneumatically Conveyed Particles Through Acoustic Emission Detection and Triboelectric Sensing. - Ge Zheng; Yong Yan 001; Yonghui Hu; Wenbiao Zhang (IEEE Trans. Instrum. Meas., 2021)

Mass-Flow-Rate Measurement of Pneumatically Conveyed Particles Through Acoustic Emission Detection and Electrostatic Sensing. - Ge Zheng; Yong Yan 001; Yonghui Hu; Wenbiao Zhang; Long Yang; Lanqi Li (IEEE Trans. Instrum. Meas., 2021)

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)

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 (CASE, 2023)

Contrastive Grouping with Transformer for Referring Image Segmentation. - Jiajin Tang; Ge Zheng; Cheng Shi 001; Sibei Yang (CVPR, 2023)

Temporal Collection and Distribution for Referring Video Object Segmentation. - Jiajin Tang; Ge Zheng; Sibei Yang (ICCV, 2023)

CoTDet: Affordance Knowledge Prompting for Task Driven Object Detection. - Jiajin Tang; Ge Zheng; Jingyi Yu; Sibei Yang (ICCV, 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 (IGARSS, 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 (NeurIPS, 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 001; Vasilis Katos (Knowl. Based Syst., 2023)

MhaGNN: A Novel Framework for Wearable Sensor-Based Human Activity Recognition Combining Multi-Head Attention and Graph Neural Networks. - Yan Wang 064; Xin Wang 138; Hongmei Yang; Yingrui Geng; Hongnian Yu; Ge Zheng; Liang Liao (IEEE Trans. Instrum. Meas., 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, 2023)

Federated machine learning for privacy preserving, collective supply chain risk prediction. - Ge Zheng; Lingxuan Kong; Alexandra Brintrup (Int. J. Prod. Res., 2023)

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 001; Yuenan Hou; Xinge Zhu; Sibei Yang; Yuexin Ma (ECCV (46), 2024)

Modeling Traffic Congestion Spreading Using a Topology-Based SIR Epidemic Model. - Assemgul Kozhabek; Wei Koong Chai; Ge Zheng (IEEE Access, 2024)

Enhancing Supply Chain Visibility with Generative AI: An Exploratory Case Study on Relationship Prediction in Knowledge Graphs. - Ge Zheng; Alexandra Brintrup (CoRR, 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)

Concurrent Measurement of the Size Distribution and Velocity of Pneumatically Conveyed Biomass Solids Using Acoustic Emission and Electrostatic Sensors. - Ge Zheng; Yong Yan 001; Lijuan Wang; Yonghui Hu; Xingxing Zeng (IEEE Trans. Instrum. Meas., 2024)

Cross-Edge Orchestration of Serverless Functions With Probabilistic Caching. - Chen Chen 073; Manuel Herrera; Ge Zheng; Liqiao Xia; Zhengyang Ling; Jiangtao Wang 001 (IEEE Trans. Serv. Comput., 2024)

MVTokenFlow: High-quality 4D Content Generation using Multiview Token Flow. - Hanzhuo Huang; Yuan Liu 025; Ge Zheng; Jiepeng Wang 001; Zhiyang Dou; Sibei Yang (ICLR, 2025)

Predictive alarm models for improving radio access network robustness. - Luning Li; Manuel Herrera; Anandarup Mukherjee; Ge Zheng; Chen Chen 073; Maharshi Harshadbhai Dhada; Henry Brice; Arjun Parekh; Ajith Kumar Parlikad (Expert Syst. Appl., 2025)

An adaptive federated learning system for information sharing in supply chains. - Ge Zheng; Dmitry A. Ivanov 001; Alexandra Brintrup (Int. J. Prod. Res., 2025)

An Analytics-Driven Approach to Enhancing Supply Chain Visibility with Graph Neural Networks and Federated Learning. - Ge Zheng; Alexandra Brintrup (CoRR, 2025)

PA-CFL: Privacy-Adaptive Clustered Federated Learning for Transformer-Based Sales Forecasting on Heterogeneous Retail Data. - Yunbo Long; Liming Xu; Ge Zheng; Alexandra Brintrup (CoRR, 2025)