School of Engineering
Showing 401-444 of 444 Results
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Wenhao Yang
Postdoctoral Scholar, Management Science and Engineering
BioWenhao Yang is a postdoctoral researcher in the Department of Management Science and Engineering (MS&E) at Stanford University, advised by Professor Jose Blanchet. He received his Ph.D. in Data Science (Statistics) from Peking University in 2023 and his B.S. in Statistics from the School of Mathematical Sciences at Peking University in 2018.
Wenhao’s research interests lie at the intersection of probability, statistics, and machine learning, with applications in operations research, reinforcement learning, and deep learning. His work focuses on developing modern statistical theory for large-scale models and designing practical algorithms with rigorous theoretical guarantees. His research has contributed to publications in leading venues including Annals of Statistics, IEEE Transactions on Pattern Analysis and Machine Intelligence, ICML, NeurIPS, ICLR, AISTATS, with additional papers currently under revisions at Annals of Applied Probability.
For more details, please visit Wenhao’s personal website: https://web.stanford.edu/~yangwh/ -
Xiao Yang (杨潇)
Postdoctoral Scholar, Mechanical Engineering
BioXiao Yang is a postdoctoral fellow of Mechanical Engineering at Stanford University. Xiao received his bachelor degree from Tianjin University in China in June 2016, and obtained his doctoral degree from Tianjin University in China in June 2023. Xiao’s research interests focus on fabrication and application of functional liquid crystal elastomer composites.
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Yigao Yuan
Postdoctoral Scholar, Materials Science and Engineering
Bioheterogeneous photocatalysis
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Tony Zahtila
Postdoctoral Scholar, Mechanical Engineering
BioI am a Postdoctoral Fellow at the Center for Turbulence Research.
I received my PhD in Australia from the University of Melbourne in 2023.
My PhD research focused on the physics and computing strategies of multiphase flows. More recently, my interests are in multi-fidelity simulation ensembles and uncertainty quantification. -
Xianfeng Zeng
Postdoctoral Scholar, Bioengineering
BioPh.D. in Chemistry, Princeton University (2023)
B.Sc. in Chemistry, Tsinghua University (2017) -
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)
