Bo Du
Orcid: 0000-0001-5790-4682Affiliations:
- University of Wollongong, SMART Infrastructure Facility, Wollongong, NSW, Australia
- Nanyang Technological University, Singapore (PhD)
According to our database1,
Bo Du
authored at least 40 papers
between 2018 and 2025.
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Bibliography
2025
Hybrid Ensemble Learning Model Combining BERT and CNN for Predicting Urban Rail Transit Accident Consequences.
IEEE Trans. Intell. Transp. Syst., August, 2025
A Periodic Adversarial Threat Model for Deep Neural Networks in Aerial Vehicle Detection.
IEEE Internet Things J., July, 2025
IEEE Trans. Mob. Comput., April, 2025
FuzzyLight: A Robust Two-Stage Fuzzy Approach for Traffic Signal Control Works in Real Cities.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025
Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
IEEE Trans. Intell. Transp. Syst., November, 2024
MetroBUX: A Topology-Based Visual Analytics for Bus Operational Uncertainty EXploration.
IEEE Trans. Intell. Transp. Syst., June, 2024
Urban rail transit disruption management based on passenger guidance and extended bus bridging service considering uncertain bus running time.
Expert Syst. Appl., 2024
Smart Verification of Unmanned Aerial Vehicle GPS Geolocation via Received Signal Strength Indicators.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024
Evaluating Energy Consumption Prediction Models of a Quadcopter Unmanned Aerial Vehicle.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024
Proceedings of the PRIMA 2024: Principles and Practice of Multi-Agent Systems, 2024
Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024
FDNet: Frequency Domain Denoising Network For Cell Segmentation In Astrocytes Derived From Induced Pluripotent Stem Cells.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the IEEE International Conference on Agents, 2024
Machine Learning-Driven Daily Demand Forecasting for Fresh Produce: A Case Study with Bananas.
Proceedings of the Twelfth International Conference on Advanced Cloud and Big Data, 2024
Proceedings of the Twelfth International Conference on Advanced Cloud and Big Data, 2024
Extended Abstract: Price of Anarchy of Traffic Assignment with Exponential Cost Functions.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
2023
Auton. Agents Multi Agent Syst., October, 2023
Designing an optimization model for the vaccine supply chain during the COVID-19 pandemic.
Expert Syst. Appl., 2023
TransformerLight: A Novel Sequence Modeling Based Traffic Signaling Mechanism via Gated Transformer.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Movement Patterns of Pedestrians and Cyclists at Signalized Segregated Crosswalks: A Case Study in Nanjing, China.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023
Resilience Enhancement of an Urban Rail Transit Network by Temporarily Adjusting Regular Bus Transit Operation.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
A Dynamic Sensitivity Model for Unidirectional Pedestrian Flow With Overtaking Behaviour and Its Application on Social Distancing's Impact During COVID-19.
IEEE Trans. Intell. Transp. Syst., 2022
Resilience Assessment of an Urban Rail Transit Network Under Short-Term Operational Disturbances.
IEEE Trans. Intell. Transp. Syst., 2022
Distributed agent-based deep reinforcement learning for large scale traffic signal control.
Knowl. Based Syst., 2022
Empirical Investigation on Conflicts between Bus Passengers and Cyclists at Different Types of Bus Stops.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Analysis of COVID-19 Impact on Public Transport Usage based on Smart Card Data-A Regional Case Study in Australia.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
A two-stage stochastic programming model of locating fast chargers at stops for battery electric buses.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Optimal Routing Design of Demand-Responsive Feeder Transit in the Era of Mobility as a Service.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022
2021
Expression is enough: Improving traffic signal control with advanced traffic state representation.
CoRR, 2021
Integrated optimisation of electric bus scheduling and top-up charging at bus stops with fast chargers.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Multi-agent deep reinforcement learning for traffic signal control with Nash Equilibrium.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021
2020
SD-seq2seq : A Deep Learning Model for Bus Bunching Prediction Based on Smart Card Data.
Proceedings of the 29th International Conference on Computer Communications and Networks, 2020
2018
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018