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 13 papers
between 2019 and 2024.
Collaborative distances:
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Timeline
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2024
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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Bibliography
2024
SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
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