Journal Papers

• Predictive alarm models for improving radio access network robustness L. Li, M. Herrera, A. Mukherjee, G. Zheng, C. Chen, M. Dhada, H. Brice, A. Parekh, A. K. Parlikad. Expert Systems with Applications Vol. 29, Pages 125312 2025
• An adaptive federated learning system for information sharing in supply chains G. Zheng, D. Ivanov, A. Brintrup International Journal of Production Research 1-23 2024
• Enhancing Supply Chain Visibility with Generative AI: An Exploratory Case Study on Relationship Prediction in Knowledge Graphs G. Zheng, A. Brintrup [arXiv preprint arXiv:2412.03390] 2024
• Enhancing Human Activity Recognition with FedPA: Focusing on Non-IID Data Challenges in Federated Learning X. Wen, Y. Wang, M. Yuan, Y. Geng, H. Yu, G. Zheng IEEE Sensors Journal 2024
• Digital supply chain surveillance using artificial intelligence: definitions, opportunities and risks A. Brintrup, E. Kosasih, P. Schaffer, G. Zheng, G. Demirel, BL. MacCarthy International Journal of Production Research 62 (23), 4674-4695 2024
• Cross-Edge Orchestration of Serverless Functions with Probabilistic Caching C. Chen, M. Herrera, G. Zheng, L. Xia, Z. Ling, J. Wang IEEE Transactions on Services Computing 2024
• Modeling traffic congestion spreading using a topology-based SIR epidemic model A. Kozhabek, W.K. Chai, G. Zheng IEEE Access 2024
• A federated machine learning approach for order-level risk prediction in Supply Chain Financing L. Kong, G. Zheng, A. Brintrup International Journal of Production Economics 268, 109095 2024
• Federated machine learning for privacy preserving, collective supply chain risk prediction G. Zheng, L. Kong, A. Brintrup International Journal of Production Research 61 (23), 8115-8132 2023
• Surface nano-crystallization and its effect on the microstructure evolution and mechanical properties of lightweight Fe–28Mn–8Al–1C steel subjected to supersonic fine particle bombardment Y. Xiong, W. Lv, X. Zha, Y. Li, Z. Luan, T. He, K. Shu, F. Ren, G. Zheng Journal of Materials Research and Technology 27, 6769-6781 2023
• VDGCNet: A novel network-wide Virtual Dynamic Graph Convolution Neural network and Transformer-based traffic prediction model G. Zheng, W.K. Chai, J. Zhang, V. Katos Knowledge-Based Systems 275, 110676 2023
• MhaGNN: A novel framework for wearable sensor-based human activity recognition combining multi-head attention and graph neural networks Y. Wang, X. Wang, H. Yang, Y. Geng, H. Yu, G. Zheng, L. Liao IEEE Transactions on Instrumentation and Measurement 72, 1-14 2023
• Hybrid deep learning models for traffic prediction in large-scale road networks G. Zheng, W.K. Chai, JL. Duanmu, V. Katos Information Fusion 92, 93-114 2023
• A Survey on Ambient Sensor-Based Abnormal Behaviour Detection for Elderly People in Healthcare Y. Wang, X. Wang, D. Arifoglu, C. Lu, A. Bouchachia, Y. Geng, G. Zheng Electronics 12 (7), 1539 2023
• A dynamic spatial–temporal deep learning framework for traffic speed prediction on large-scale road networks G. Zheng, W.K. Chai, V. Katos Expert Systems with Applications 195, 116585 2022
• Life Cycle Assessment (LCA) of BEV’s environmental benefits for meeting the challenge of ICExit (Internal Combustion Engine Exit) G. Zheng, Z. Peng Energy Reports 7, 1203-1216 2021
• A novel attention-based convolution neural network for human activity recognition G. Zheng IEEE Sensors Journal 21 (23), 27015-27025 2021
• A joint temporal-spatial ensemble model for short-term traffic prediction G. Zheng, W.K. Chai, V. Katos, M. Walton Neurocomputing 457, 26-39 2021

Conference Papers

• LLMs in Supply Chain Management: Opportunities and Case Study G. Zheng, S. Asanath, L. Xu, M. Mironczuk, A. Brintrup [Submitted; Underreview] 2025
• Secure Co-Creation of Industrial Knowledge Graph: Graph Complement Method with Federated Learning and ChatGPT L. Xia, P. Zheng, Y. Liang, G. Zheng, Z. Ling 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE) 2023
• The sequence-to-sequence architecture with an embedded module for long-term traffic speed forecasting with missing data G. Zheng, W.K. Chai, V. Katos 2021 26th Int. Conf. on Automation and Computing (ICAC), 1-6 2021
• An ensemble model for short-term traffic prediction in smart city transportation system G. Zheng, W.K. Chai, V. Katos 2019 IEEE Global Communications Conference (GLOBECOM), 1-6 2019
• Efficient charging for batteryless solutions in energy harvesting M. Walton, J. Woods, G. Zheng 2019 IEEE 11th Computer Science and Electronic Engineering (CEEC), 7-11 2019
• Using machine learning techniques to optimize fall detection algorithms in smart wearables G. Zheng, H. Zhang, X. Zhou, H. Hu 2019 25th International Conf. on Automation and Computing (ICAC), 1-6 2019

PhD Thesis

• Deep Learning Models for Traffic Prediction in Urban Transport Networks G. Zheng PhD Thesis, Bournemouth University 2022