| Progressive Learning and Disentanglement of Hierarchical Representations Z Li, JV Murkute, PK Gyawali, L Wang International Conference on Learning Representations 2020, 2020 | 56 | 2020 |
| Semi-supervised Medical Image Classification with Global Latent Mixing PK Gyawali, S Ghimire, P Bajracharya, Z Li, L Wang International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 53 | 2020 |
| Semi-supervised Learning by Disentangling and Self-ensembling over Stochastic Latent Space PK Gyawali*, Z Li*, S Ghimire, L Wang International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 32 | 2019 |
| A hybrid machine learning approach to localizing the origin of ventricular tachycardia using 12-lead electrocardiograms R Missel, PK Gyawali, JV Murkute, Z Li, S Zhou, A AbdelWahab, J Davis, ... Computers in Biology and Medicine 126, 104013, 2020 | 22 | 2020 |
| Printy3D: in-situ tangible three-dimensional design for augmented fabrication AK Yung, Z Li, D Ashbrook Proceedings of the 17th ACM Conference on Interaction Design and Children …, 2018 | 21 | 2018 |
| Blowhole: Blowing-Activated Tags for Interactive 3D-Printed Models C Tejada, O Fujimoto, Z Li, D Ashbrook Graphics Interface Conference 2018, 122-128, 2018 | 17 | 2018 |
| Improving Disentangled Representation Learning with the Beta Bernoulli Process PK Gyawali, Z Li, C Knight, S Ghimire, BM Horacek, J Sapp, L Wang IEEE International Conference on Data Mining, 2019 | 14 | 2019 |
| Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction X Jiang, S Ghimire, J Dhamala, Z Li, PK Gyawali, L Wang International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 13 | 2020 |
| Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting X Jiang, R Missel, Z Li, L Wang International Conference on Learning Representations 2023, 2023 | 12 | 2023 |
| Exploring Pervasive Making Using Generative Modeling and Speech Input R Ballagas, J Wei, M Vankipuram, Z Li, K Spies, H Horii IEEE Pervasive Computing 18 (4), 20-28, 2019 | 10 | 2019 |
| Label-Free Physics-Informed Image Sequence Reconstruction with Disentangled Spatial-Temporal Modeling X Jiang, R Missel, M Toloubidokhti, Z Li, O Gharbia, JL Sapp, L Wang International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 9 | 2021 |
| Continual Unsupervised Disentangling of Self-Organizing Representations Z Li, X Jiang, R Missel, PK Gyawali, N Kumar, L Wang International Conference on Learning Representations 2023, 2023 | 8 | 2023 |
| Few-Shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-learning X Jiang, Z Li, R Missel, MS Zaman, B Zenger, WW Good, RS MacLeod, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 4 | 2022 |
| Model generation based on sketch input J Wei, Z Li, R Ballagas US Patent App. 17/045,776, 2021 | 4 | 2021 |
| Distributionally Robust Optimization and Invariant Representation Learning for Addressing Subgroup Underrepresentation: Mechanisms and Limitations N Kumar, R Shrestha, Z Li, L Wang Workshop on Clinical Image-Based Procedures, 183-193, 2023 | 3 | 2023 |
| Depth and Skeleton Information Model for Kinect Based Hand Segmentation Z Huang, Z Xu, Z Li, Z Zhao, D Tao 2013 International Conference on Advanced ICT and Education (ICAICTE-13 …, 2013 | 3 | 2013 |
| Sparse representation for kinect based hand gesture recognition system Z Xu, Z Huang, Z Zhao, Z Li, P Huang 2013 International Conference on Advanced ICT and Education (ICAICTE-13 …, 2013 | 3 | 2013 |
| Scalable, reproducible, and cost-effective processing of large-scale medical imaging datasets ME Kim, K Ramadass, C Gao, P Kanakaraj, NR Newlin, G Rudravaram, ... arXiv preprint arXiv:2408.14611, 2024 | 2 | 2024 |
| Scalable quality control on processing of large diffusion-weighted and structural magnetic resonance imaging datasets ME Kim, C Gao, K Ramadass, P Kanakaraj, NR Newlin, G Rudravaram, ... arXiv preprint arXiv:2409.17286, 2024 | 1 | 2024 |
| Field-of-view extension for brain diffusion MRI via deep generative models C Gao, S Bao, ME Kim, NR Newlin, P Kanakaraj, T Yao, G Rudravaram, ... Journal of Medical Imaging 11 (4), 044008-044008, 2024 | 1 | 2024 |
Linwei WangRochester Institute of TechnologyPreverjeni e-poštni naslov na rit.edu