| On the importance and applicability of pre-training for federated learning HY Chen, CH Tu, Z Li, HW Shen, WL Chao The Eleventh International Conference on Learning Representations (ICLR 2023), 2023 | 48 | 2023 |
| Deep learning models for river classification at sub-meter resolutions from multispectral and panchromatic commercial satellite imagery J Moortgat, Z Li, M Durand, I Howat, B Yadav, C Dai Remote Sensing of Environment 282, 113279, 2022 | 17 | 2022 |
| 3D Semantic Trajectory Reconstruction from 3D Pixel Continuum JS Yoon, Z Li, HS Park Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 13 | 2018 |
| Assistive AI for Coping with Memory Loss L Ferland, Z Li, S Sukhani, J Zheng, L Zhao, ML Gini AAAI Workshops, 431-434, 2018 | 8 | 2018 |
| Understanding Federated Learning through Loss Landscape Visualizations: A Pilot Study Z Li, HY Chen, HW Shen, WL Chao Workshop on Federated Learning: Recent Advances and New Challenges (in …, 2022 | 5 | 2022 |
| Super-resolution deep neural networks for water classification from free multispectral satellite imagery Z Li, WJ Leong, M Durand, I Howat, K Wadkowski, B Yadav, J Moortgat Journal of Hydrology 626, 130248, 2023 | 1 | 2023 |
| Visual Analytics on Network Forgetting for Task-Incremental Learning Z Li, J Xu, WL Chao, HW Shen Computer Graphics Forum (Proc. EuroVis 2023) 42 (1467-8659), 2023 | 1 | 2023 |
| ARTIFICIAL INTELLIGENCE-ASSISTED AUTOMATED PREDICTION OF ADVANCED NEOPLASIA IN IPMNS: A FUNCTIONAL MODEL Z Li, E Park, WL Chao, S Culp, P Hart, W Chen, D Jones, Z Shah, T Pawlik, ... Gastrointestinal Endoscopy 99 (6), AB7, 2024 | | 2024 |
