Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
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.
portfolio
b-jet 分类
Published:
从 Z⁰ → q\bar{q} 过程中产生的喷注中识别 b-jet（来自 b 夸克），本质上是一个二分类问题，并使用 TensorFlow、PyTorch 与 XGBoost 进行建模。
b-jet Classification
Published:
Classification: Select b-jets (b-quark) from the bdecays of the Z0 boson decaying to a quark and an anti-quark
COVID-19 入院紧急程度预测
Published:
基于 EDA 提取特征，使用 KNN 和逻辑回归等经典机器学习模型，预测新冠患者从症状出现到住院的紧急程度。
COVID-19 Admission Urgency Prediction
Published:
Predicting the urgency of hospital admission for COVID-19 patients from symptom onset using EDA-driven features and classic ML models : KNN, logistic regression.
Jane Street 金融时间序列预测
Published:
使用 LightGBM（CV WR2=0.0143）、Polars ETL（~20× 快于 pandas）和快速 memmap 推理进行金融市场预测。
Jane Street Financial Time Series Forecasting
Published:
Financial market forecasting with LightGBM (wr2=0.0143 CV), Polars ETL (~20× faster than pandas), and fast memmap inference.
欧洲电力市场预测
Published:
使用多种机器学习模型进行日前电价预测；XGBoost 对比 LSTM。
European Energy Market Forecasting
Published:
Day-ahead electricity price forecasting using multiple ML models; XGBoost vs. LSTM.
联邦学习反洗钱（AML）系统
Published:
各银行在本地基于账户级 SAR 标签分布式训练模型，仅共享模型更新，在不共享原始交易数据的前提下学习跨行的可疑账户检测器。
Federated Learning Pipeline for Anti-money Laundering
Published:
Each bank trains locally on labeled account-level SAR data and shares model updates to learn a global detector of suspicious accounts without sharing raw data.
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1).
Download Paper | Download Slides | Download Bibtex
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2).
Download Paper | Download Slides
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3).
Download Paper | Download Slides
Paper Title Number 4
Published in GitHub Journal of Bugs, 2024
This paper is about fixing template issue #693.
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
Download Paper
Paper Title Number 5, with math \(E=mc^2\)
Published in GitHub Journal of Bugs, 2024
This paper is about a famous math equation, \(E=mc^2\)
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
Download Paper
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file 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
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.