Stanford University
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Xiaojian Zheng
Postdoctoral Scholar, Earth System Science
BioDr. Xiaojian Zheng is a postdoctoral scholar in the Department of Earth System Science at Stanford University, working with Dr. Yuan Wang. His research targets aerosol–cloud–climate interactions, combining ground-based, airborne, and satellite observations with global and convection-permitting models, and leveraging machine learning throughout the analysis.
Xiaojian's current research directions span deep learning-based estimates of regime-dependent aerosol–cloud interactions, machine-learning emulation of aerosol microphysics inside Earth System models, and the circulation control of convection, heatwaves, and regional air quality. -
Zhuo Zheng
Postdoctoral Scholar, Computer Science
BioMy research interests are Earth Vision and AI4Earth, especially multi-modal and multi-temporal remote sensing image analysis and their real-world applications.
First-author representative works:
- Our Change family: ChangeStar (single-temporal learning, ICCV 2021), ChangeMask (many-to-many architecture, ISPRS P&RS 2022), ChangeOS (one-to-many architecture, RSE 2021), Changen (generative change modeling, ICCV 2023)
- Geospatial object segmentation: FarSeg (CVPR 2020) and FarSeg++ (TPAMI 2023), LoveDA dataset (NeurIPS Datasets and Benchmark 2021)
- Missing-modality all weather mapping: Deep Multisensory Learning (first work on this topic, ISPRS P&RS 2021)
- Hyperspectral image classification: FPGA (first fully end-to-end patch-free method for HSI, TGRS 2020)
