Jingxu Chen
Orcid: 0000-0002-6791-3571
According to our database1,
Jingxu Chen
authored at least 14 papers
between 2017 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Managing oversaturation in BRT corridors: A new approach of timetabling for resilience enhancement using a tailored integer L-shaped algorithm.
Eur. J. Oper. Res., 2025
2024
Emission Control in Expressway Systems: Vehicle Emission Inventory and Policy Scenario Analysis.
Syst., August, 2024
Expert Syst. Appl., March, 2024
A decentralized federated learning-based spatial-temporal model for freight traffic speed forecasting.
Expert Syst. Appl., March, 2024
An Autotuning Hybrid Method with Bayesian Optimization for Road Edge Extraction in Highway Systems from Point Clouds.
Syst., 2024
A spatial-temporal model for network-wide flight delay prediction based on federated learning.
Appl. Soft Comput., 2024
2023
Analysis of Urban Electric Vehicle Adoption Based on Operating Costs in Urban Transportation Network.
Syst., March, 2023
Continual Transfer Learning for Cross-Domain Click-Through Rate Prediction at Taobao.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
2022
Real-Time Holding Control for Transfer Synchronization via Robust Multiagent Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., 2022
Co-training Disentangled Domain Adaptation Network for Leveraging Popularity Bias in Recommenders.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
2018
Proceedings of the Intelligent Interactive Multimedia Systems and Services, 2018
2017
Integrating Optimal Heterogeneous Sensor Deployment and Operation Strategies for Dynamic Origin-Destination Demand Estimation.
Sensors, 2017
Soft decoding of JPEG 2000 compressed images using bit-rate-driven deep convolutional neural networks.
Proceedings of the IEEE International Conference on Information and Automation, 2017