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I’m Du Mingsen, and I am currently pursuing a Ph.D. degree. I am interested in data mining, artificial intelligence, machine learning, time series analysis (classification, prediction, anomaly detection, generation, imputation), large language models, interpretability, spatio-temporal data analysis, biomedical signal processing, blood pressure estimation, and more.

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dumingsen's Projects

cd-diagram icon cd-diagram

Critical difference diagram with Wilcoxon-Holm post-hoc analysis.

data-augmentation-review icon data-augmentation-review

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dumingsen.github.io icon dumingsen.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

gnn4traffic icon gnn4traffic

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

resume icon resume

An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git

shnn icon shnn

Pytorch implementation of "SHNN: A Single-Channel EEG Sleep Staging Model Based on Semi-Supervised Learning".

smate icon smate

Repository for the paper "SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time Series" in ICDM 2021

time-series-paperss icon time-series-paperss

List of awesome papers about time series, mainly including algorithms based on machine learning | 收录时间序列分析中各个研究领域的高水平文章,主要包含基于机器学习的算法

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