| Mulan: A joint embedding of music audio and natural language Q Huang, A Jansen, J Lee, R Ganti, JY Li, DPW Ellis arXiv preprint arXiv:2208.12415, 2022 | 167 | 2022 |
| Large-scale stochastic linear inversion using hierarchical matrices: Illustrated with an application to crosswell tomography in seismic imaging S Ambikasaran, JY Li, PK Kitanidis, E Darve Computational Geosciences 17, 913-927, 2013 | 61 | 2013 |
| A Kalman filter powered by H2‐matrices for quasi‐continuous data assimilation problems JY Li, S Ambikasaran, EF Darve, PK Kitanidis Water Resources Research 50 (5), 3734-3749, 2014 | 48 | 2014 |
| Application of hierarchical matrices to linear inverse problems in geostatistics AK Saibaba, S Ambikasaran, JY Li, PK Kitanidis, EF Darve Oil & Gas Science and Technology–Revue d’IFP Energies nouvelles 67 (5), 857-875, 2012 | 47 | 2012 |
| Real-time data assimilation for large-scale systems: The spectral Kalman filter H Ghorbanidehno, A Kokkinaki, JY Li, E Darve, PK Kitanidis Advances in water resources 86, 260-272, 2015 | 37 | 2015 |
| The compressed state K alman filter for nonlinear state estimation: Application to large‐scale reservoir monitoring JY Li, A Kokkinaki, H Ghorbanidehno, EF Darve, PK Kitanidis Water Resources Research 51 (12), 9942-9963, 2015 | 34 | 2015 |
| Smoothing‐based compressed state Kalman filter for joint state‐parameter estimation: Applications in reservoir characterization and CO2 storage monitoring YJ Li, A Kokkinaki, EF Darve, PK Kitanidis Water Resources Research 53 (8), 7190-7207, 2017 | 15 | 2017 |
| Semi-supervised Meta-learning for Cross-domain Few-shot Intent Classification JY Li, J Zhang Proceedings of the 1st Workshop on Meta Learning and Its Applications to …, 2021 | 14 | 2021 |
| V2meow: Meowing to the visual beat via music generation K Su, JY Li, Q Huang, D Kuzmin, J Lee, C Donahue, F Sha, A Jansen, ... arXiv preprint arXiv:2305.06594, 2023 | 10 | 2023 |
| Maqa: A multimodal qa benchmark for negation JY Li, A Jansen, Q Huang, J Lee, R Ganti, D Kuzmin arXiv preprint arXiv:2301.03238, 2023 | 6 | 2023 |
| V2Meow: Meowing to the Visual Beat via Video-to-Music Generation K Su, JY Li, Q Huang, D Kuzmin, J Lee, C Donahue, F Sha, A Jansen, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (5), 4952-4960, 2024 | 5 | 2024 |
| Multi-Task End-to-End Training Improves Conversational Recommendation N Ram, D Kuzmin, EKI Chio, MF Alzantot, S Ontanon, A Jash, JY Li arXiv preprint arXiv:2305.06218, 2023 | 2 | 2023 |
| Large-scale characterization of geologic formations for CO2 injection using Compressed State Kalman Filter A Kokkinaki, JY Li, Q Zhou, JT Birkholzer, PK Kitanidis AGU Fall Meeting Abstracts 2014, H33C-0823, 2014 | 1 | 2014 |
| Diff4Steer: Steerable Diffusion Prior for Generative Music Retrieval with Semantic Guidance X Bao, JY Li, ZY Wan, K Su, T Denk, J Lee, D Kuzmin, F Sha arXiv preprint arXiv:2412.04746, 2024 | | 2024 |
| Fast Kalman Filters for Real-Time CO2 Storage Monitoring and Reservoir Characterization JY Li Stanford University, 2016 | | 2016 |
| Smoothing-based Compressed State Kalman Filter (sCSKF) for Real-time State-parameter Estimation: CO2 Reservoir Monitoring and Characterization JY Li, A Kokkinaki, EF Darve, PK Kitanidis AGU Fall Meeting Abstracts 2015, H13E-1590, 2015 | | 2015 |
| Efficient Data Assimilation Tool For Real Time CO2 Reservoir Monitoring and Characterization JY Li, S Ambikasaran, A Kokkinaki, EF Darve, PK Kitanidis AGU Fall Meeting Abstracts 2014, H13M-01, 2014 | | 2014 |
| An iterative ensemble quasi-linear data assimilation approach for integrated reservoir monitoring JY Li, PK Kitanidis AGU Fall Meeting Abstracts 2013, H44D-08, 2013 | | 2013 |
| Efficient Data Assimilation Tool For Real Time Subsurface Monitoring JY Li, S Ambikasaran, PK Kitanidis, E Darve AGU Fall Meeting Abstracts 2012, NS43A-04, 2012 | | 2012 |
| Fast Linear Algebra Applications in Stochastic Inversion and Data Assimilation PK Kitanidis, S Ambikasaran, A Saibaba, JY Li, EF Darve AGU Fall Meeting Abstracts 2012, H41L-03, 2012 | | 2012 |
Peter K. KitanidisProfessor, Stanford Universitystanford.edu üzerinde doğrulanmış e-posta adresine sahip
