| Exploiting spatiotemporal patterns for accurate air quality forecasting using deep learning Y Lin, N Mago, Y Gao, Y Li, YY Chiang, C Shahabi, JL Ambite Proceedings of the 26th ACM SIGSPATIAL international conference on advances …, 2018 | 124* | 2018 |
| Mining public datasets for modeling intra-city PM2. 5 concentrations at a fine spatial resolution Y Lin, YY Chiang, F Pan, D Stripelis, JL Ambite, SP Eckel, R Habre Proceedings of the 25th ACM SIGSPATIAL international conference on advances …, 2017 | 45 | 2017 |
| Applying multivariate segmentation methods to human activity recognition from wearable sensors’ data K Li, R Habre, H Deng, R Urman, J Morrison, FD Gilliland, JL Ambite, ... JMIR mHealth and uHealth 7 (2), e11201, 2019 | 34 | 2019 |
| A review of air quality modeling K Karroum, Y Lin, YY Chiang, Y Ben Maissa, M El Haziti, A Sokolov, ... Mapan 35, 287-300, 2020 | 31 | 2020 |
| Artificial intelligence for modeling complex systems: taming the complexity of expert models to improve decision making Y Gil, D Garijo, D Khider, CA Knoblock, V Ratnakar, M Osorio, H Vargas, ... ACM Transactions on Interactive Intelligent Systems 11 (2), 1-49, 2021 | 30 | 2021 |
| Building autocorrelation-aware representations for fine-scale spatiotemporal prediction Y Lin, YY Chiang, M Franklin, SP Eckel, JL Ambite 2020 IEEE International Conference on Data Mining (ICDM), 352-361, 2020 | 11 | 2020 |
| Los angeles metro bus data analysis using gps trajectory and schedule data (demo paper) K Nguyen, J Yang, Y Lin, J Lin, YY Chiang, C Shahabi Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances …, 2018 | 10 | 2018 |
| A semi-supervised learning approach for abnormal event prediction on large network operation time-series data Y Lin, YY Chiang 2022 IEEE International Conference on Big Data (Big Data), 1024-1033, 2022 | 4 | 2022 |
| A semi-supervised approach for abnormal event prediction on large operational network time-series data Y Lin, YY Chiang arXiv preprint arXiv:2110.07660, 2021 | 3 | 2021 |
| The mapKurator System: A Complete Pipeline for Extracting and Linking Text from Historical Maps J Kim, Z Li, Y Lin, M Namgung, L Jang, YY Chiang arXiv preprint arXiv:2306.17059, 2023 | 1 | 2023 |
| Building explainable predictive analytics for location-dependent time-series data YY Chiang, Y Lin, M Franklin, SP Eckel, JL Ambite, WS Ku 2019 IEEE First International Conference on Cognitive Machine Intelligence …, 2019 | 1 | 2019 |
| GeoAI for the Digitization of Historical Maps YY Chiang, M Chen, W Duan, J Kim, CA Knoblock, S Leyk, Z Li, Y Lin, ... Handbook of Geospatial Artificial Intelligence, 217-247, 2023 | | 2023 |
| Modeling Spatially Varying Physical Dynamics for Spatiotemporal Predictive Learning Y Lin, YY Chiang Proceedings of the 31st ACM International Conference on Advances in …, 2023 | | 2023 |
| MAPINS: An intra-city PM2. 5 modeling web application using a scalable data management and analysis system integrating public multi-source data X Yu, Y Cheng, Y Lin, YY Chiang, D Stripelis, JL Ambite AutoCarto 2018 Program Committee, 0 | | |
Yao-Yi ChiangAssociate Professor, Computer Science & Engineering, University of MinnesotaGeverifieerd e-mailadres voor umn.edu
