| Geometric, variational integrators for computer animation L Kharevych, W Yang, Y Tong, E Kanso, JE Marsden, P Schröder, ... Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer …, 2006 | 150 | 2006 |
| Using mobility for electrical load forecasting during the covid-19 pandemic Y Chen, W Yang, B Zhang arXiv preprint arXiv:2006.08826, 2020 | 38 | 2020 |
| Edge subdivision schemes and the construction of smooth vector fields K Wang, Weiwei, Y Tong, M Desbrun, P Schröder ACM Transactions on Graphics (TOG) 25 (3), 1041-1048, 2006 | 36 | 2006 |
| Multiple network embedding for anomaly detection in time series of graphs G Chen, J Arroyo, A Athreya, J Cape, JT Vogelstein, Y Park, C White, ... arXiv preprint arXiv:2008.10055, 2020 | 12 | 2020 |
| A general approach to progressive learning JT Vogelstein, HS Helm, RD Mehta, J Dey, W Yang, B Tower, W LeVine, ... Preprint at https://arxiv. org/abs/2004.12908, 2020 | 11* | 2020 |
| Binary code summarization: Benchmarking chatgpt/gpt-4 and other large language models X Jin, J Larson, W Yang, Z Lin arXiv preprint arXiv:2312.09601, 2023 | 8 | 2023 |
| A frequency domain approach to predict power system transients W Cui, W Yang, B Zhang IEEE Transactions on Power Systems, 2023 | 8* | 2023 |
| Power grid aware machine learning device Y Weiwei, CM White, K Lytvynets, DK Edge, AD Hoak US Patent 11,334,036, 2022 | 6* | 2022 |
| Bayesian DHI using passive seismic low frequency data N Riahi, M Kelly, M Ruiz, W Yang SEG International Exposition and Annual Meeting, SEG-2009-1607, 2009 | 6 | 2009 |
| Distance-based positive and unlabeled learning for ranking HS Helm, A Basu, A Athreya, Y Park, JT Vogelstein, CE Priebe, ... Pattern Recognition 134, 109085, 2023 | 5* | 2023 |
| Mental state classification using multi-graph features G Chen, HS Helm, K Lytvynets, W Yang, CE Priebe Frontiers in Human Neuroscience 16, 930291, 2022 | 5 | 2022 |
| Prospective learning: Back to the future JT Vogelstein, T Verstynen, KP Kording, L Isik, JW Krakauer, ... arXiv e-prints, arXiv: 2201.07372, 2022 | 5 | 2022 |
| Inducing a hierarchy for multi-class classification problems HS Helm, W Yang, S Bharadwaj, K Lytvynets, O Riva, C White, A Geisa, ... arXiv preprint arXiv:2102.10263, 2021 | 4 | 2021 |
| A partition-based similarity for classification distributions HS Helm, RD Mehta, B Duderstadt, W Yang, CM White, A Geisa, ... arXiv preprint arXiv:2011.06557, 2020 | 4 | 2020 |
| Design of a privacy-preserving data platform for collaboration against human trafficking D Edge, W Yang, K Lytvynets, H Cook, C Galez-Davis, H Darnton, ... arXiv preprint arXiv:2005.05688, 2020 | 3 | 2020 |
| Prospective Learning: Principled Extrapolation to the Future A De Silva, R Ramesh, L Ungar, MH Shuler, NJ Cowan, M Platt, C Li, ... Conference on Lifelong Learning Agents, 347-357, 2023 | 2 | 2023 |
| Approximately optimal domain adaptation with Fisher's Linear Discriminant Analysis HS Helm, A De Silva, JT Vogelstein, CE Priebe, W Yang arXiv preprint arXiv:2302.14186, 2023 | 2 | 2023 |
| Omnidirectional transfer for quasilinear lifelong learning JT Vogelstein, J Dey, HS Helm, W LeVine, RD Mehta, A Geisa, H Xu, ... arXiv preprint arXiv:2004.12908, 2020 | 2 | 2020 |
| A Statistical Turing Test for Generative Models H Helm, CE Priebe, W Yang arXiv preprint arXiv:2309.08913, 2023 | 1 | 2023 |
| Discovering a change point in a time series of organoid networks via the iso-mirror T Chen, Y Park, A Saad-Eldin, Z Lubberts, A Athreya, BD Pedigo, ... arXiv preprint arXiv:2303.04871, 2023 | 1 | 2023 |
Carey E. PriebeProfessor of Applied Mathematics and Statistics, Johns Hopkins UniversityVerified email at jhu.edu
