publications
2025
- Estimating erratic measurement errors in network-wide traffic flow via virtual balance sensors Transportation Science 2025
- Geolocation representation from large language models are generic enhancers for spatio-temporal learning In Proceedings of the AAAI Conference on Artificial Intelligence 2025
- Joint estimation and prediction of city-wide delivery demand: A large language model empowered graph-based learning approach Transportation Research Part E: Logistics and Transportation Review 2025
- Online prediction-assisted safe reinforcement learning for electric vehicle charging station recommendation in dynamically coupled transportation-power systems Transportation Research Part C: Emerging Technologies 2025
- Exploring the roles of large language models in reshaping transportation systems: A survey, framework, and roadmap Artificial Intelligence for Transportation 2025
- Large language model-enhanced reinforcement learning for generic bus holding control strategies Transportation Research Part E: Logistics and Transportation Review 2025
- Modeling the residual queue and queue-dependent capacity in a static traffic assignment problem Transportation Research Part B: Methodological 2025
2024
- Demonstration-guided deep reinforcement learning for coordinated ramp metering and perimeter control in large scale networks Transportation Research Part C: Emerging Technologies 2024
- Recovering traffic data from the corrupted noise: A doubly physics-regularized denoising diffusion model Transportation Research Part C: Emerging Technologies 2024
- A unified dataset for the city-scale traffic assignment model in 20 US cities Scientific data 2024
- Maximin headway control of automated vehicles for system optimal dynamic traffic assignment in general networks Transportation Research Part E: Logistics and Transportation Review 2024
- A time-series based deep survival analysis model for failure prediction in urban infrastructure systems Engineering Applications of Artificial Intelligence 2024
- Channel-aware low-rank adaptation in time series forecasting In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management 2024
- ITINERA: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning arXiv preprint arXiv:2402.07204 2024
- Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization arXiv preprint arXiv:2411.00392 2024
- Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization arXiv preprint arXiv:2411.00383 2024
- Spatiotemporal implicit neural representation as a generalized traffic data learner Transportation Research Part C: Emerging Technologies 2024
2023
- Optimal curbside pricing for managing ride-hailing pick-ups and drop-offs Transportation Research Part C: Emerging Technologies 2023
- Turning traffic surveillance cameras into intelligent sensors for traffic density estimation Complex & Intelligent Systems 2023
- Adversarial diffusion attacks on graph-based traffic prediction models IEEE Internet of Things Journal 2023
- Spatiotemporal clustering for the impact region caused by a traffic incident: an improved fuzzy C-means approach with guaranteed consistency Transportmetrica A: Transport Science 2023
- DisasterNet: Causal Bayesian Networks with Normalizing Flows for Cascading Hazards Estimation from Satellite Imagery In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2023
- Cybersecurity challenges in AI-enabled smart transportation systems 2023
- Filtering Limited Automatic Vehicle Identification Data for Real-Time Path Travel Time Estimation Without Ground Truth IEEE Transactions on Intelligent Transportation Systems 2023
- Estimating and Mitigating the Congestion Effect of Curbside Pick-ups and Drop-offs: A Causal Inference Approach Transportation Science 2023
- Adversarial Attacks on Deep Reinforcement Learning-based Traffic Signal Control Systems with Colluding Vehicles ACM Transactions on Intelligent Systems and Technology 2023
- Beyond Prediction: On-Street Parking Recommendation Using Heterogeneous Graph-Based List-Wise Ranking IEEE Transactions on Intelligent Transportation Systems 2023
2022
- Lane-based estimation of travel time distributions by vehicle type via vehicle re-identification using low-resolution video images Journal of Intelligent Transportation Systems 2022
- Network-wide link travel time and station waiting time estimation using automatic fare collection data: A computational graph approach IEEE Transactions on Intelligent Transportation Systems 2022
- Clustering Analysis of the Spatio-Temporal On-Street Parking Occupancy Data: A Case Study in Hong Kong Sustainability 2022
- Ubiquitous sensing for smart cities with autonomous vehicles 2022
- Optimization of multi-type sensor locations for simultaneous estimation of origin-destination demands and link travel times with covariance effects Transportation Research Part B: Methodological 2022
- Few-Sample Traffic Prediction With Graph Networks Using Locale as Relational Inductive Biases IEEE Transactions on Intelligent Transportation Systems 2022
- Optimization of multi-type traffic sensor locations for network-wide link travel time estimation with consideration of their covariance Transportmetrica B: Transport Dynamics 2022
- Cluster analysis of day-to-day traffic data in networks Transportation Research Part C: Emerging Technologies 2022
- Domain adversarial spatial-temporal network: a transferable framework for short-term traffic forecasting across cities In Proceedings of the 31st ACM International Conference on Information & Knowledge Management 2022
2021
- Short-term origin-destination demand prediction in urban rail transit systems: A channel-wise attentive split-convolutional neural network method Transportation Research Part C: Emerging Technologies 2021
- COVID-19, community response, public policy, and travel patterns: A tale of Hong Kong Transport Policy 2021
- A Bi-objective Reliable Path-Finding Algorithm for Battery Electric Vehicle Routing Expert Systems with Applications 2021
- Vehicle Re-identification for lane-level travel time estimations on congested urban road networks using video images IEEE Transactions on Intelligent Transportation Systems 2021
- High-Resolution Traffic Sensing with Probe Autonomous Vehicles: A Data-Driven Approach Sensors 2021
2020
- Estimating multi-class dynamic origin-destination demand through a forward-backward algorithm on computational graphs Transportation Research Part C: Emerging Technologies 2020
- Measuring and reducing the disequilibrium levels of dynamic networks with ride-sourcing vehicle data Transportation Research Part C: Emerging Technologies 2020
2019
- A general formulation for multi-modal dynamic traffic assignment considering multi-class vehicles, public transit and parking Transportation Research Part C: Emerging Technologies 2019
- Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption In Advances in Neural Information Processing Systems 2019
- A deep learning approach to real-time parking occupancy prediction in transportation networks incorporating multiple spatio-temporal data sources Transportation Research Part C: Emerging Technologies 2019
2018
- Statistical inference of probabilistic origin-destination demand using day-to-day traffic data Transportation Research Part C: Emerging Technologies 2018
- Estimating multi-year 24/7 origin-destination demand using high-granular multi-source traffic data Transportation Research Part C: Emerging Technologies 2018
2017
- On the variance of recurrent traffic flow for statistical traffic assignment Transportation Research Part C: Emerging Technologies 2017