Jinhua Zhao
Orcid: 0000-0002-1929-7583Affiliations:
- Massachusetts Institute of Technology (MIT), Department of Urban Studies and Planning, Department of Civil and Environmental Engineering, Cambridge, MA, USA
According to our database1,
Jinhua Zhao authored at least 85 papers
between 2007 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
FrontierOR: Benchmarking LLMs' Capacity for Efficient Algorithm Design in Large-Scale Optimization.
CoRR, May, 2026
TailedTS: Benchmark Dataset for Heavy-Tailed Time Series Prediction and Periodicity Quantification.
CoRR, May, 2026
CoRR, April, 2026
IEEE Robotics Autom. Lett., March, 2026
CoRR, March, 2026
CoRR, March, 2026
IEEE Trans. Robotics, 2026
Leveraging the Spatial Hierarchy: Coarse-to-fine Trajectory Generation via Cascaded Hybrid Diffusion.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026
2025
RAST-MoE-RL: A Regime-Aware Spatio-Temporal MoE Framework for Deep Reinforcement Learning in Ride-Hailing.
CoRR, December, 2025
Learning from Risk: LLM-Guided Generation of Safety-Critical Scenarios with Prior Knowledge.
CoRR, November, 2025
Dynamic Autoregressive Tensor Factorization for Pattern Discovery of Spatiotemporal Systems.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2025
AlphaOPT: Formulating Optimization Programs with Self-Improving LLM Experience Library.
CoRR, October, 2025
HugAgent: Evaluating LLMs in Simulating Individual-Level Human Reasoning on Open-Ended Tasks.
CoRR, October, 2025
ClassMind: Scaling Classroom Observation and Instructional Feedback with Multimodal AI.
CoRR, September, 2025
Deploying Robust Decision Support Systems for Transit Headway Control: Rider Impacts, Human Factors and Recommendations for Scalability.
CoRR, September, 2025
Closed-Circuit Television Data as an Emergent Data Source for Urban Rail Platform Crowding Estimation.
CoRR, August, 2025
Data-Driven Discovery of Mobility Periodicity for Understanding Urban Transportation Systems.
CoRR, August, 2025
IEEE Trans. Knowl. Data Eng., June, 2025
CoRR, June, 2025
CoRR, June, 2025
From Street Views to Urban Science: Discovering Road Safety Factors with Multimodal Large Language Models.
CoRR, June, 2025
Generative AI for Urban Design: A Stepwise Approach Integrating Human Expertise with Multimodal Diffusion Models.
CoRR, May, 2025
CoRR, April, 2025
Computer vision for transit travel time prediction: an end-to-end framework using roadside urban imagery.
Public Transp., March, 2025
Analyzing sequential activity and travel decisions with interpretable deep inverse reinforcement learning.
CoRR, March, 2025
Generative AI for urban planning: Synthesizing satellite imagery via diffusion models.
Comput. Environ. Urban Syst., 2025
Individual Path Recommendation Under Public Transit Service Disruptions Considering Behavior Uncertainty.
Transp. Sci., 2025
Robust binary and multinomial logit models for classification with data uncertainties.
Eur. J. Oper. Res., 2025
Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Spatial Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
2024
IEEE Trans. Intell. Transp. Syst., October, 2024
Uncertainty Quantification of Spatiotemporal Travel Demand With Probabilistic Graph Neural Networks.
IEEE Trans. Intell. Transp. Syst., August, 2024
Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Composite Spatial Reasoning.
CoRR, 2024
Advancing Transportation Mode Share Analysis with Built Environment: Deep Hybrid Models with Urban Road Network.
CoRR, 2024
Synergizing Spatial Optimization with Large Language Models for Open-Domain Urban Itinerary Planning.
CoRR, 2024
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks.
Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024
ItiNera: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024
2023
IEEE Internet Things J., June, 2023
Ex Post Path Choice Estimation for Urban Rail Systems Using Smart Card Data: An Aggregated Time-Space Hypernetwork Approach.
Transp. Sci., March, 2023
MetRoBERTa: Leveraging Traditional Customer Relationship Management Data to Develop a Transit-Topic-Aware Language Model.
CoRR, 2023
ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks.
CoRR, 2023
Deep hybrid model with satellite imagery: how to combine demand modeling and computer vision for behavior analysis?
CoRR, 2023
Predicting Drivers' Route Trajectories in Last-Mile Delivery Using A Pair-wise Attention-based Pointer Neural Network.
CoRR, 2023
Evaluation of Public Transit Systems under Short Random Service Suspensions: A Bulk-Service Queuing Approach.
CoRR, 2023
ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-Temporal Graph Attention and Bidirectional Recurrent United Neural Networks.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023
2022
Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning.
IEEE Trans. Intell. Transp. Syst., 2022
Dynamic Origin-Destination Prediction in Urban Rail Systems: A Multi-Resolution Spatio-Temporal Deep Learning Approach.
IEEE Trans. Intell. Transp. Syst., 2022
Individual Mobility Prediction in Mass Transit Systems Using Smart Card Data: An Interpretable Activity-Based Hidden Markov Approach.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Intell. Transp. Syst., 2022
TranViT: An Integrated Vision Transformer Framework for Discrete Transit Travel Time Range Prediction.
CoRR, 2022
Robust Path Recommendations During Public Transit Disruptions Under Demand Uncertainty.
CoRR, 2022
Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
2021
Leveraging Individual and Collective Regularity to Profile and Segment User Locations from Mobile Phone Data.
ACM Trans. Manag. Inf. Syst., 2021
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models.
CoRR, 2021
Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark.
CoRR, 2021
Individual Mobility Prediction: An Interpretable Activity-based Hidden Markov Approach.
CoRR, 2021
2020
Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks.
CoRR, 2020
Modeling Epidemic Spreading through Public Transit using Time-Varying Encounter Network.
CoRR, 2020
Dynamic Interaction between Shared Autonomous Vehicles and Public Transit: A Competitive Perspective.
CoRR, 2020
CoRR, 2020
2019
IEEE Trans. Intell. Transp. Syst., 2019
Deep Neural Networks for Choice Analysis: Architectural Design with Alternative-Specific Utility Functions.
CoRR, 2019
Multitask Learning Deep Neural Network to Combine Revealed and Stated Preference Data.
CoRR, 2019
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
2018
IEEE Trans. Intell. Transp. Syst., 2018
Using Deep Neural Network to Analyze Travel Mode Choice With Interpretable Economic Information: An Empirical Example.
CoRR, 2018
CoRR, 2018
2017
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017
2016
Uncertainty in Bus Arrival Time Predictions: Treating Heteroscedasticity With a Metamodel Approach.
IEEE Trans. Intell. Transp. Syst., 2016
Managing travel demand: Location recommendation for system efficiency based on mobile phone data.
CoRR, 2016
2011
Analysis of the Maximum Straight Line Length for Prairie Highway using Driver's Heart Rate Variability.
Int. J. Comput. Intell. Syst., 2011
2007
Estimating a Rail Passenger Trip Origin-Destination Matrix Using Automatic Data Collection Systems.
Comput. Aided Civ. Infrastructure Eng., 2007