Fenguoerbian's Blog
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Recent & Upcoming Talks
2023
Go/No-go design based on dual-criterion
This is my talk at 2023 Q4 SBF
Dec 8, 2023 16:05 — 16:50
18F, New Bund Qiantan Oriental Plaza I, No.512 Haiyang West Road, Pudong, Shanghai
Chao Cheng
2022
Parallel Computing in R, from parallel to foreach and future
This is my talk at 2022 China R conference
Nov 25, 2022 20:20 — Apr 11, 2022 22:50
Chao Cheng
Code
Slides
Video
Slides repo
Variable Selection under Logistic Regression for Compositional Functional Data
2022 International Workshop on Complex Functional Data Analysis
Jun 11, 2022 08:20 — Jun 12, 2022 18:00
Online
Chao Cheng
PDF
Slides
Robust Analysis of Cancer Heterogeneity for High-dimensional Data
This is my job talk.
Apr 11, 2022 16:15 — 17:00
Chao Cheng
PDF
Code
Project
Slides
Package website
Inference on Selected Subgroups in Clinical Trials
In this group seminar, I will talk about how to perform inference on selected subgroups based on the paper by Xinzhou Guo and Xuming He.
Feb 28, 2022 19:00 — 20:00
Room 1114, Scientific Research Laboratory Building
Chao Cheng
PDF
Slides
2021
pkgdown: an easy way to build website for your R package
In this small talk, I want to introduce pkgdown, an R package that makes building website for your R packages simple and elegent.
May 17, 2021 20:00 — 20:15
Room 1114, Scientific Research Laboratory Building
Chao Cheng
PDF
Slides
Marginal False Discovery Rates
In this group seminar, I will talk about the concept of Marginal False Discovery Rates(mFDR) based on the paper “Marginal false discovery rates for penalized regression models” by Patrick Breheny.
May 17, 2021 19:00 — 20:00
Room 1114, Scientific Research Laboratory Building
Chao Cheng
PDF
Slides
2020
HPC with R
This talk mainly focused on combining R with C/C++ and parallel computation in R.
Nov 17, 2020 18:30 — 20:30
Room 1114, Scientific Research Laboratory Building
Chao Cheng
Code
Slides
2019
Doctoral Forum at Fudan University
Robust subgroup analysis and variable selection
Dec 1, 2019 08:30 — 17:00
Fudan University
Chao Cheng
PDF
Code
Project
Slides
2018
Recommender System
This seminar talk is about using regularized regression to determine the number of latent factor in a recommender system. Also at the last I’ll talk about how it is been applied in a real project and how to deal with the significant cold start problem.
May 8, 2018 16:20 — 16:20
Room 1208, School of Statistics and Management
Chao Cheng
PDF
Slides
2017
Example Talk
An example talk using Academic’s Markdown slides feature.
Jan 1, 2017 13:00 — 15:00
Source Themes HQ
Slides
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