| Development and validation of a deep learning algorithm for mortality prediction in selecting patients with dementia for earlier palliative care interventions L Wang, L Sha, JR Lakin, J Bynum, DW Bates, P Hong, L Zhou JAMA network open 2 (7), e196972-e196972, 2019 | 67 | 2019 |
| GlycoDeNovo–an efficient algorithm for accurate de novo glycan topology reconstruction from tandem mass spectra P Hong, H Sun, L Sha, Y Pu, K Khatri, X Yu, Y Tang, C Lin Journal of the American Society for Mass Spectrometry 28 (11), 2288-2301, 2017 | 45 | 2017 |
| NagE: Non-abelian group embedding for knowledge graphs T Yang, L Sha, P Hong Proceedings of the 29th ACM International Conference on Information …, 2020 | 22 | 2020 |
| Neural knowledge tracing L Sha, P Hong Brain Function Assessment in Learning: First International Conference, BFAL …, 2017 | 19 | 2017 |
| A deep learning approach for covid-19 trend prediction T Yang, L Sha, J Li, P Hong arXiv preprint arXiv:2008.05644, 2020 | 7 | 2020 |
| Probabilistic connection importance inference and lossless compression of deep neural networks X Xing, L Sha International Conference on Learning Representations, 2020 | 6 | 2020 |
| Knowledgebra: An Algebraic Learning Framework for Knowledge Graph T Yang, Y Wang, L Sha, J Engelbrecht, P Hong Machine Learning and Knowledge Extraction 4 (2), 432-445, 2022 | 3 | 2022 |
| Efficient Methods in Deep Learning Lifecycle: Representation, Prediction and Model Compression L Sha Brandeis University, 2021 | 2 | 2021 |
| A group-theoretic framework for knowledge graph embedding T Yang, L Sha, P Hong | 2 | 2019 |
| Context dependent modulation of activation function L Sha, J Schwarcz, P Hong | 2 | 2018 |
| State-level COVID-19 Trend Forecasting Using Mobility and Policy Data Y Wang, H Peng, L Sha, Z Liu, P Hong medRxiv, 2021.01. 04.21249218, 2021 | | 2021 |
| State-level COVID-19 Trend Forecasting Using Mobility and Policy Data (preprint) Y Wang, HM Peng, L Sha, Z Liu, P Hong | | 2021 |
| Variance Regularization for Accelerating Stochastic Optimization T Yang, L Sha, P Hong arXiv preprint arXiv:2008.05969, 2020 | | 2020 |
| Glycoscience mass spectrometry tools funded by the NIH Common Fund for Glycoscience JA Klein, JD Hogan, H Christian, L Sha, P Hong, L Carvalho, C Lin, J Zaia GLYCOBIOLOGY 28 (12), 1029-1029, 2018 | | 2018 |
Pengyu HongBrandeis UniversityVerified email at brandeis.edu
Pengyu HongBrandeis UniversityVerified email at brandeis.edu