| Domain Adaptation for Time Series Under Feature and Label Shifts H He, O Queen, T Koker, C Cuevas, T Tsiligkaridis, M Zitnik International Conference on Machine Learning (ICML 2023), 2023 | 43 | 2023 |
| Phenotyping through semi-supervised tensor factorization (PSST) J Henderson, H He, BA Malin, JC Denny, AN Kho, J Ghosh, JC Ho AMIA annual symposium proceedings 2018, 564, 2018 | 34 | 2018 |
| GNNDelete: A General Strategy for Unlearning in Graph Neural Networks J Cheng, G Dasoulas, H He, C Agarwal, M Zitnik The Eleventh International Conference on Learning Representations (ICLR 2023), 2023 | 31 | 2023 |
| Distributed tensor decomposition for large scale health analytics H He, J Henderson, JC Ho The World Wide Web Conference (WWW 2019), 659-669, 2019 | 30 | 2019 |
| GDA-AM: On the Effectiveness of Solving Minimax Optimization Via Anderson Mixing H He, S Zhao, Y Xi, J Ho, Y Saad International Conference on Learning Representations (ICLR 2022), 2022 | 21* | 2022 |
| MedDiff: Generating Electronic Health Records using Accelerated Denoising Diffusion Model H He, S Zhao, Y Xi, JC Ho arXiv preprint arXiv:2302.04355, 2023 | 19 | 2023 |
| AUTM flow: atomic unrestricted time machine for monotonic normalizing flows D Cai, Y Ji, H He, Q Ye, Y Xi Uncertainty in Artificial Intelligence (UAI 2022), 266-274, 2022 | 8 | 2022 |
| Fast and accurate tensor decomposition without a high performance computing machine H He, Y Xi, JC Ho 2020 IEEE International Conference on Big Data (Big Data), 163-170, 2020 | 8 | 2020 |
| nltgcr: A class of nonlinear acceleration procedures based on conjugate residuals H He, Z Tang, S Zhao, Y Saad, Y Xi SIAM Journal on Matrix Analysis and Applications 45 (1), 712-743, 2024 | 6* | 2024 |
| Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency O Queen, T Hartvigsen, T Koker, H He, T Tsiligkaridis, M Zitnik NeurIPS 2023, 2023 | 6 | 2023 |
| AGE: Enhancing the Convergence on GANs using Alternating extra-gradient with Gradient Extrapolation H He, S Zhao, Y Xi, J Ho NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications, 2021 | 6 | 2021 |
| A Flexible Generative Model for Heterogeneous Tabular EHR with Missing Modality H He, Y Xi, Y Chen, B Malin, J Ho The Twelfth International Conference on Learning Representations, 2024 | 1* | 2024 |
| Reducing operator complexity in algebraic multigrid with machine learning approaches R Huang, K Chang, H He, R Li, Y Xi arXiv preprint arXiv:2307.07695, 2023 | 1 | 2023 |
| Accelerated SGD for Tensor Decomposition of Sparse Count Data H He, Y Xi, JC Ho 2020 International Conference on Data Mining Workshops (ICDMW), 284-291, 2020 | 1 | 2020 |
| Anderson Acceleration with Truncated Gram-Schmidt Z Tang, T Xu, H He, Y Saad, Y Xi arXiv preprint arXiv:2403.14961, 2024 | | 2024 |
| LLMSYN: Generating Synthetic Electronic Health Records Without Patient-Level Data Y Hao, JC Ho, H He | | 2024 |
| Acceleration Algorithms for Machine Learning Models H He Emory University, 2022 | | 2022 |
Joyce C HoEmory University在 emory.edu 的电子邮件经过验证
