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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About Me
About me
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Posts
Future Blog Post
Published:
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
publications
A Geometric Model with Stochastic Error for Abnormal Motion Detection of Portal Crane Bucket Grab
Published in Engineering Applications of Artificial Intelligence, 2024
Preprint version link Published version PDF
Recommended citation: Yu, B., Wang, X., Wang, H., (2025), A Geometric Model with Stochastic Error for Abnormal Motion Detection of Portal Crane Bucket Grab. Engineering Applications of Artificial Intelligence, 139: 109481. https://doi.org/10.1016/j.engappai.2024.109481
High-Dimensional Spatial Autoregression with Latent Factors By Diversified Projections
Published in Journal of the American Statistical Association, 2025
Preprint version link Published version PDF
Recommended citation: Shi, J., Zhu, X., Zhou, J., Yu, B., Wang, H., (2025), High-Dimensional Spatial Autoregression with Latent Factors By Diversified Projections, Journal of the American Statistical Association, just accepted. https://doi.org/10.1080/01621459.2025.2562644
A Semiparametric Gaussian Mixture Model with Spatial Dependence and Its Application to Whole-Slide Image Clustering Analysis
Published in Biometrics, 2025
Preprint version link Published version PDF
Recommended citation: Yu, B., Liu, J., and Wang, H., (2025), A Semiparametric Gaussian Mixture Model with Spatial Dependence and Its Application to Whole-Slide Image Clustering Analysis, Biometrics, 81(4): ujaf149. https://doi.org/10.1093/biomtc/ujaf149
Detecting Breast Carcinoma Metastasis on Whole-Slide Images by Partially Subsampled Multiple Instance Learning
Published in The Annals of Applied Statistics, 2026
Recommended citation: Yu, B., Li, X., Zhou, J., and Wang, H., (2026), Detecting Breast Carcinoma Metastasis on Whole-Slide Images by Partially Subsampled Multiple Instance Learning, The Annals of Applied Statistics, To appear.
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Regression Analysis
TA, School of Statistics, East China Normal University, 2023
This is a course named Regression Analysis or 《回归分析》, for undergraduate (junior) students. The instructor of this course is Prof. Xianyi Wu. I have wrote a detailed note for the exercise classes.
Deep Learning and Artificial Intelligence
TA, Guanghua School of Management, Peking University, 2023
This is a course named《深度学习与人工智能》 or Deep Learning and Artificial Intelligence, for UG & PG & MBA students. The instructor of this course is Prof. Hansheng Wang. I have participated in writing a detailed TA manual in TA_DL_Manual. My TA partners are Helenology and jinlinqishichizhongwu.
Business Data Analysis and Forecasting
TA, Guanghua School of Management, Peking University, 2024
This is a course named《实用商务数据分析与预测》 or Business Data Analysis and Forecasting, for MBA students. The instructor of this course is Prof. Hansheng Wang.
Academic Writing
TA, Guanghua School of Management, Peking University, 2024
This is a course named《学术思想与学术写作》 or Academic Writing, for Business Analytics (BA) master students. The instructor of this course is Prof. Hansheng Wang. I helped 4 master students to revise, and polish their theses.
Python Fundamentals for Data Science
TA, Guanghua School of Management, Peking University, 2024
This is a course named《数据科学的Python基础》 or Python Fundamentals for Data Science, for Undergraduate (UG) students, which is a compulsory course. The instructor of this course is Dr. Yuan Gao. We have a TA group with other 4 partners.
Deep Learning and Artificial Intelligence
TA, Guanghua School of Management, Peking University, 2024
This is a course named《深度学习与人工智能》 or Deep Learning and Artificial Intelligence, for MBA students. The instructor of this course is Prof. Hansheng Wang. My TA partners are Helenology and Little Lion.
Academic Writing
TA, Guanghua School of Management, Peking University, 2026
This is a course named《学术思想与学术写作》 or Academic Writing, for Business Analytics (BA) master students. The instructor of this course is Prof. Hansheng Wang. I served as the TA Head of this course, helped organizing the course, and helped 12 master students to revise, and polish their theses.