School of Engineering
Showing 2,151-2,195 of 2,195 Results
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Yuhao Zhang
Undergraduate, Computer Science
BioYuhao ZHANG is an Undergraduate Research Intern at Stanford University. He is now doing a research Internship at Stanford with Prof.JiaJun Wu and Postdoc. Elliott Wu. His research interest lies in 3D Computer Vision and Machine Learning, specifically, he is now researching on auto rigging and skinning for 3D objects. He also did some research on diffusion-based video editing guided by Chi-Keung Tang and Yu-Wing Tai.
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Zihao Zhao
Research Asst - Graduate, Program-Finn, C.
BioPublish under Tony Z. Zhao
Academics website: https://tonyzhaozh.github.io/ -
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) -
Henry Zhu
Ph.D. Student in Computer Science, admitted Autumn 2020
BioHenry Zhu is a PhD student in the Stanford AI Lab (SAIL).
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Orr Zohar
Ph.D. Student in Electrical Engineering, admitted Autumn 2021
Masters Student in Computer Science, admitted Autumn 2023BioOrr Zohar, from Haifa, Israel, is pursuing a PhD in electrical engineering at Stanford School of Engineering. He graduated summa cum laude from the Technion with a bachelor's degree in chemical engineering and a master’s degree in electrical engineering. Orr aspires to research, develop, and translate novel machine learning methods into the open surgical domain for applications such as AI-assisted surgery and surgical skill evaluation. Currently, developing novel learning methods in open-world learning and action quality evaluation at MARVL, advised by Prof. Serena Yeung.
Before coming to Stanford, he was a machine learning and algorithms engineer at proteanTecs and a junior researcher at the Technion's LNBD, where he developed soft electronic platforms that can heal, detect damage, and serve as multifunctional electronic skins. During his undergraduate degree, Orr worked as a visiting undergraduate researcher at the de la Zerda group, Stanford University, where he developed OCT image processing algorithms for improved molecular contrast and depth-of-field. Orr is a Bazan Group scholar and was awarded the Sieden family prize for his contributions to YBCO-based photon detectors' development. -
James Zou
Associate Professor of Biomedical Data Science and, by courtesy, of Computer Science
Current Research and Scholarly InterestsMy group works on both foundations of statistical machine learning and applications in biomedicine and healthcare. We develop new technologies that make ML more accountable to humans, more reliable/robust and reveals core scientific insights.
We want our ML to be impactful and beneficial, and as such, we are deeply motivated by transformative applications in biotech and health. We collaborate with and advise many academic and industry groups. -
Wilmer S Zuna Largo
Course Asst-Graduate, Computer Science
BioLooking to engage in Undergraduate Research, work-study and volunteer opportunities.
Experienced in Education and Construction. Skilled in Public Speaking, Time Management, & Teamwork.
