School of Engineering
Showing 401-447 of 447 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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Xianfeng Zeng
Postdoctoral Scholar, Bioengineering
BioPh.D. in Chemistry, Princeton University (2023)
B.Sc. in Chemistry, Tsinghua University (2017) -
Zhe Zhang
Postdoctoral Scholar, Electrical Engineering
BioEPFL Ph.D. in Photonics 2024
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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) -
Shiyuan Zhou
Postdoctoral Scholar, Materials Science and Engineering
BioShiyuan Zhou is a recipient of the 2026 Stanford Energy Postdoctoral Fellowship. He received his Ph.D. in Energy Chemistry in 2024 through a joint doctoral program between Xiamen University and Argonne National Laboratory, under the supervision of Prof. Shi-Gang Sun, Dr. Gui-Liang Xu, and Dr. Khalil Amine.
His research advances the frontiers of battery chemistry through the development of multimodal operando electrochemical scanning/transmission electron microscopy (EC-S/TEM) integrated with synchrotron X-ray characterization, enabling direct observation of real-time electrochemical and structural dynamics in energy materials. Trained as both a materials chemist and microscopist, his work focuses on visualizing highly sensitive and previously inaccessible electrochemical processes in batteries.
During his doctoral research, he developed in situ liquid-cell transmission electron microscopy techniques to probe real-time reaction dynamics in lithium–sulfur batteries. Following his Ph.D., he continued at Argonne as a postdoctoral fellow, where he expanded his research to multimodal and multiscale imaging approaches, integrating advanced electron microscopy with transmission X-ray microscopy to study all-solid-state batteries. His research has been recognized as one of China’s Top 10 Scientific Advances of 2023, and he has received the Tan Kah Kee Medal as well as the Argonne Impact Award.
