Xianghao Zhan

Joined

May 2025

Names

Xianghao Zhan (Preferred)

Emails

****@stanford.edu (Confirmed)

Personal Links

Google Scholar

DBLP

ORCID

Career & Education History

Postdoc

Biomedical Data Science, Stanford University (stanford.edu)

2024 – 2025

Intern

Digital Health Technology, Samsung Research America (samsung.com)

2024 – 2024

PhD student

Bioengineering, Stanford University (stanford.edu)

2019 – 2024

Intern

Neuroscience, Genentech (gene.com)

2023 – 2023

Advisors, Relations & Conflicts

PhD Advisor

David Camarillo

2019 – 2024

Expertise

AI4SCIENCE

2019 – 2025

Wearable Sensor

2019 – 2025

Traumatic Brain Injury

2019 – 2025

Signal Processing

2017 – 2025

AI4HEALTHCARE

2019 – 2024

Publications

Patient-level prediction from single-cell data using attention-based multiple instance learning with regulatory priors
Kristin C. Y. Tsui, Kameron B. Rodrigues, Xianghao Zhan, Yiyun Chen, Kelvin C. Mo, Crystal L. Mackall, David B Miklos, Olivier Gevaert, Zinaida Good
- AI4D3 2025 Poster
- Readers: Everyone
Reliability-enhanced data cleaning in biomedical machine learning using inductive conformal prediction
Xianghao Zhan, Qinmei Xu, Yuanning Zheng, Guangming Lu, Olivier Gevaert
- PLoS Comput. Biol. 2025
- Readers: Everyone
AI-Based Denoising of Head Impact Kinematics Measurements With Convolutional Neural Network for Traumatic Brain Injury Prediction
Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi, Ashlyn A. Callan, Enora Le Flao, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo
- IEEE Trans. Biomed. Eng. 2024
- Readers: Everyone
Brain Deformation Estimation With Transfer Learning for Head Impact Datasets Across Impact Types
Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo
- IEEE Trans. Biomed. Eng. 2024
- Readers: Everyone
Identification of head impact locations, speeds, and force based on head kinematics
Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi, Jessica Towns, Ashlyn A. Callan, Olivier Gevaert, Michael M. Zeineh, David B. Camarillo
- CoRR 2024
- Readers: Everyone
Reliable Long-Term Energy Load Trend Prediction Model for Smart Grid Using Hierarchical Decomposition Self-Attention Network
Xianghao Zhan, Liang Kou, Meiting Xue, Jilin Zhang, Li Zhou
- IEEE Trans. Reliab. 2023
- Readers: Everyone
Toward more accurate and generalizable brain deformation estimators for traumatic brain injury detection with unsupervised domain adaptation
Xianghao Zhan, Jiawei Sun, Yuzhe Liu, Nicholas J. Cecchi, Enora Le Flao, Olivier Gevaert, Michael M. Zeineh, David B. Camarillo
- CoRR 2023
- Readers: Everyone
Reliability-based cleaning of noisy training labels with inductive conformal prediction in multi-modal biomedical data mining
Xianghao Zhan, Qinmei Xu, Yuanning Zheng, Guangming Lu, Olivier Gevaert
- Published: 01 Jan 2023, Last Modified: 06 Nov 2023
- CoRR 2023
- Readers: Everyone
CPSC: Conformal Prediction With Shrunken Centroids for Efficient Prediction Reliability Quantification and Data Augmentation, a Case in Alternative Herbal Medicine Classification With Electronic Nose
Li Liu, Xianghao Zhan, Xikai Yang, Xiaoqing Guan, Rumeng Wu, Zhan Wang, Zhiyuan Luo, You Wang, Guang Li
- IEEE Trans. Instrum. Meas. 2022
- Readers: Everyone
Reliably Filter Drug-Induced Liver Injury Literature With Natural Language Processing and Conformal Prediction
Xianghao Zhan, Fanjin Wang, Olivier Gevaert
- IEEE J. Biomed. Health Informatics 2022
- Readers: Everyone

View all 27 publications

Co-Authors

View all 57 co-authors