On the importance and applicability of pre-training for federated learning HY Chen, CH Tu, Z Li, HW Shen, WL Chao ICLR 2023, 2023 | 73 | 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 | 20 | 2022 |
3D Semantic Trajectory Reconstruction from 3D Pixel Continuum JS Yoon, Z Li, HS Park CVPR 2018, 2018 | 13 | 2018 |
Assistive AI for Coping with Memory Loss L Ferland, Z Li, S Sukhani, J Zheng, L Zhao, ML Gini AAAI 2018 Workshop on Health Intelligence, 2018 | 8 | 2018 |
Understanding Federated Learning through Loss Landscape Visualizations: A Pilot Study Z Li, HY Chen, HW Shen, WL Chao NeurIPS 2022 Workshop on Federated Learning: Recent Advances and New Challenges, 2022 | 6 | 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 | 5 | 2023 |
Visual Analytics on Network Forgetting for Task-Incremental Learning Z Li, J Xu, WL Chao, HW Shen EuroVis 2023, 2023 | 1 | 2023 |
Using River Hypsometry to Improve Remote Sensing of River Discharge M Durand, C Dai, J Moortgat, B Yadav, RP de Moraes Frasson, Z Li, ... Remote Sensing of Environment 315, 114455, 2024 | | 2024 |
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 |
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction Z Li, X Wang, HY Chen, HW Shen, WL Chao NeurIPS 2024, 2024 | | 2024 |
Deep Learning of River Width Changes from Ultra-High-Resolution Commercial Satellite Imagery J Moortgat, Z Li, M Durand, I Howat, C Dai, B Yadav, K Wadkowski AGU Fall Meeting Abstracts 2021, H42G-04, 2021 | | 2021 |