Research output per year
Research output per year
Personal profile
Research interests
- Deep learning
- Meta-learning
- Imitation learning
- Spatial-temporal data mining
Research interests
Zhang is an assistant professor in the School of Computing at Binghamton University. She got her PhD in data science from Worcester Polytechnic Institute in 2022. Her broad research interests include:
- Designing novel data mining, machine learning and AI techniques to solve spatial-temporal big data analytics problems related to smart cities and public safety
- Human behavior analysis and decision-making
Resources
Education/Academic qualification
PhD, Worcester Polytechnic Institute
Master, Stevens Institute of Technology
Bachelor, Shanghai Jiao Tong University
Researcher Selected Keywords
- Deep learning
- Meta-learning
- Imitation learning
- Spatial-temporal data mining
Fingerprint
Dive into the research topics where Yingxue Zhang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
C3-GAN+: Complex-Condition-Controlled Generative Adversarial Networks with Enhanced Embedding
Zhang, Y., Li, Y., Zhou, X., Liu, Z. & Luo, J., Feb 6 2025, In: ACM Transactions on Knowledge Discovery from Data. 19, 2, 37.Research output: Contribution to journal › Article › peer-review
Open Access -
MARCEL: Multifaceted SpAtial-TempoRal ContrastivE Learning for Generic Spatial-Temporal Representations
Liu, Y., Zhang, Y., Zhang, X., Yang, Y., Li, Y. & Luo, J., 2025, Proceedings - 25th IEEE International Conference on Data Mining, ICDM 2025. Ding, W., Vreeken, J., Lu, C.-T., Gunopulos, D. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1013-1022 10 p. (Proceedings - IEEE International Conference on Data Mining, ICDM).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
-
UrbanMind: Urban Dynamics Prediction with Multifaceted Spatial-Temporal Large Language Models
Liu, Y., Zhang, Y., Zhang, X., Tian, L., Li, Y. & Luo, J., Aug 3 2025, KDD 2025 - Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1951-1962 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 2).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access5 Scopus citations -
Align Along Time and Space: A Graph Latent Diffusion Model for Traffic Dynamics Prediction
Liu, Y., Zhang, Y., Zhang, X., Yang, Y., Xie, Y., Machiani, S. G., Li, Y. & Luo, J., 2024, Proceedings - 24th IEEE International Conference on Data Mining, ICDM 2024. Baralis, E., Zhang, K., Damiani, E., Debbah, M., Kalnis, P. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 271-280 10 p. (Proceedings - IEEE International Conference on Data Mining, ICDM).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
4 Scopus citations -
SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting
Li, R., Xie, Y., Jia, X., Wang, D., Li, Y., Zhang, Y., Wang, Z. & Li, Z., 2024, In: Advances in Neural Information Processing Systems. 37Research output: Contribution to journal › Conference article › peer-review
8 Scopus citations