Wei Ma
Orcid: 0000-0001-8945-5877Affiliations:
- Hong Kong Polytechnic University, Hong Kong, SAR, China
According to our database1,
Wei Ma
authored at least 40 papers
between 2019 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
A Physics-Regularized Multiscale Attention Network for Spatiotemporal Traffic Data Imputation.
IEEE Trans. Intell. Transp. Syst., November, 2025
Predicting Large-Scale Urban Network Dynamics With Energy-Informed Graph Neural Diffusion.
IEEE Trans. Ind. Informatics, November, 2025
CoRR, September, 2025
Reliability-based journey time prediction via two-stream deep learning with multi-source data.
J. Intell. Transp. Syst., March, 2025
Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap.
CoRR, March, 2025
Contextualizing MLP-Mixers Spatiotemporally for Urban Traffic Data Forecast at Scale.
IEEE Trans. Intell. Transp. Syst., January, 2025
CoRR, January, 2025
Enhancing Crash Frequency Modeling Based on Augmented Multi-Type Data by Hybrid VAE-Diffusion-Based Generative Neural Networks.
CoRR, January, 2025
Estimating Erratic Measurement Errors in Network-Wide Traffic Flow via Virtual Balance Sensors.
Transp. Sci., 2025
Geolocation Representation from Large Language Models Are Generic Enhancers for Spatio-Temporal Learning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
Estimation of Vehicular Journey Time Variability by Bayesian Data Fusion With General Mixture Model.
IEEE Trans. Intell. Transp. Syst., October, 2024
IEEE Trans. Intell. Transp. Syst., September, 2024
Beyond Prediction: On-Street Parking Recommendation Using Heterogeneous Graph-Based List-Wise Ranking.
IEEE Trans. Intell. Transp. Syst., June, 2024
Filtering Limited Automatic Vehicle Identification Data for Real-Time Path Travel Time Estimation Without Ground Truth.
IEEE Trans. Intell. Transp. Syst., June, 2024
IEEE Internet Things J., January, 2024
Estimating and Mitigating the Congestion Effect of Curbside Pick-ups and Drop-Offs: A Causal Inference Approach.
Transp. Sci., 2024
Destination-Aware Coordinated Ramp Metering for Preventing Off-Ramp Queue Spillover and Mainstream Congestion.
IEEE Intell. Transp. Syst. Mag., 2024
A time-series based deep survival analysis model for failure prediction in urban infrastructure systems.
Eng. Appl. Artif. Intell., 2024
Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach.
CoRR, 2024
Generalizable Implicit Neural Representation As a Universal Spatiotemporal Traffic Data Learner.
CoRR, 2024
CoRR, 2024
ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
Adversarial Attacks on Deep Reinforcement Learning-based Traffic Signal Control Systems with Colluding Vehicles.
ACM Trans. Intell. Syst. Technol., December, 2023
Lane-based estimation of travel time distributions by vehicle type via vehicle re-identification using low-resolution video images.
J. Intell. Transp. Syst., May, 2023
Few-Sample Traffic Prediction With Graph Networks Using Locale as Relational Inductive Biases.
IEEE Trans. Intell. Transp. Syst., February, 2023
DisasterNet: Causal Bayesian Networks with Normalizing Flows for Cascading Hazards Estimation from Satellite Imagery.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
2022
Network-Wide Link Travel Time and Station Waiting Time Estimation Using Automatic Fare Collection Data: A Computational Graph Approach.
IEEE Trans. Intell. Transp. Syst., 2022
Vehicle Re-identification for Lane-level Travel Time Estimations on Congested Urban Road Networks Using Video Images.
IEEE Trans. Intell. Transp. Syst., 2022
Estimating and Mitigating the Congestion Effect of Curbside Pick-ups and Drop-offs: A Causal Inference Approach.
CoRR, 2022
Estimating probabilistic dynamic origin-destination demands using multi-day traffic data on computational graphs.
CoRR, 2022
Towards a Very Large Scale Traffic Simulator for Multi-Agent Reinforcement Learning Testbeds.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
High-Resolution Traffic Sensing with Probe Autonomous Vehicles: A Data-Driven Approach.
Sensors, 2021
Expert Syst. Appl., 2021
2019
Measuring and reducing the disequilibrium levels of dynamic networks through ride-sourcing vehicle data.
CoRR, 2019
Estimating multi-class dynamic origin-destination demand through a forward-backward algorithm on computational graphs.
CoRR, 2019
A deep learning approach to real-time parking occupancy prediction in spatio-termporal networks incorporating multiple spatio-temporal data sources.
CoRR, 2019
An interpretable produce price forecasting system for small and marginal farmers in India using collaborative filtering and adaptive nearest neighbors.
Proceedings of the Tenth International Conference on Information and Communication Technologies and Development, 2019