Jinhua Zhao
Orcid: 0000-0002-1929-7583
According to our database1,
Jinhua Zhao
authored at least 67 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Synergizing Spatial Optimization with Large Language Models for Open-Domain Urban Itinerary Planning.
CoRR, 2024
2023
BiTNet: A lightweight object detection network for real-time classroom behavior recognition with transformer and bi-directional pyramid network.
J. King Saud Univ. Comput. Inf. Sci., September, 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
IEEE Trans. Instrum. Meas., 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
CoRR, 2023
Deep hybrid model with satellite imagery: how to combine demand modeling and computer vision for behavior analysis?
CoRR, 2023
Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks.
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 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Proceedings of the 25th 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
CoRR, 2022
Robust Path Recommendations During Public Transit Disruptions Under Demand Uncertainty.
CoRR, 2022
Appl. Math. Comput., 2022
Appl. Math. Comput., 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
Dyn. Games Appl., 2021
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models.
CoRR, 2021
Proof of Travel for Trust-Based Data Validation in V2I Communication Part I: Methodology.
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
Appl. Math. Comput., 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
Appl. Math. Comput., 2020
2019
Unraveling environmental justice in ambient PM<sub>2.5</sub> exposure in Beijing: A big data approach.
Comput. Environ. Urban Syst., 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
A novel method for predicting and mapping the presence of sun glare using Google Street View.
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
Cryptanalysis and improvement of an efficient authenticated key exchange protocol with tight security reduction.
Int. J. Commun. Syst., 2016
Managing travel demand: Location recommendation for system efficiency based on mobile phone data.
CoRR, 2016
Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2016
2014
IACR Cryptol. ePrint Arch., 2014
Proceedings of the International Conference on Control, 2014
2013
IACR Cryptol. ePrint Arch., 2013
2011
Analysis of the Maximum Straight Line Length for Prairie Highway using Driver's Heart Rate Variability.
Int. J. Comput. Intell. Syst., 2011
2007
Optimal use of correlated information in mechanism design when full surplus extraction may be impossible.
J. Econ. Theory, 2007
Estimating a Rail Passenger Trip Origin-Destination Matrix Using Automatic Data Collection Systems.
Comput. Aided Civ. Infrastructure Eng., 2007
A Generic Minimum Dominating Forward Node Set Based Service Discovery Protocol for MANETs.
Proceedings of the High Performance Computing and Communications, 2007
FTSCP: An Efficient Distributed Fault-Tolerant Service Composition Protocol for MANETs.
Proceedings of the High Performance Computing and Communications, 2007