Yingxue Zhang
Orcid: 0000-0002-0947-1875Affiliations:
- Binghamton University, Binghamton, NY, USA
- Worcester Polytechnic Institute (Ph.D.)
According to our database1,
Yingxue Zhang
authored at least 11 papers
between 2019 and 2023.
Collaborative distances:
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Bibliography
2023
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
2022
Urban Traffic Dynamics Prediction - A Continuous Spatial-temporal Meta-learning Approach.
ACM Trans. Intell. Syst. Technol., 2022
COVID-GAN+: Estimating Human Mobility Responses to COVID-19 through Spatio-temporal Generative Adversarial Networks with Enhanced Features.
ACM Trans. Intell. Syst. Technol., 2022
Off-Deployment Traffic Estimation - A Traffic Generative Adversarial Networks Approach.
IEEE Trans. Big Data, 2022
STrans-GAN: Spatially-Transferable Generative Adversarial Networks for Urban Traffic Estimation.
Proceedings of the IEEE International Conference on Data Mining, 2022
Mest-GAN: Cross-City Urban Traffic Estimation with Me ta S patial-T emporal G enerative A dversarial N etworks.
Proceedings of the IEEE International Conference on Data Mining, 2022
2021
C<sup>3</sup>-GAN: Complex-Condition-Controlled Urban Traffic Estimation through Generative Adversarial Networks.
Proceedings of the IEEE International Conference on Data Mining, 2021
2020
Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
COVID-GAN: Estimating Human Mobility Responses to COVID-19 Pandemic through Spatio-Temporal Conditional Generative Adversarial Networks.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020
2019
TrafficGAN: Off-Deployment Traffic Estimation with Traffic Generative Adversarial Networks.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019