Ulti-Dreisteine.github.io
Dreisteine的个人博客
Welcome to My Blog
Introduction
- Name:Lei Luo
- City:Chengdu
- Country:China
- Majors:
- Bachelor in Chemical Engineering, Tsinghua University, Beijing
- Master in Chemical Engineering (Process Systems Engineering), Tsinghua University, Beijing
- Ph.D. in Chemical Engineering (Process Systems Engineering), Sichuan University, Chengdu
- Email:
- dreisteine262@163.com
- dreisteine262@gmail.com
Interests
- Causal Inference & Structrual Learning
- Nonlinear Process Modeling
- Time Series Analysis
- Information Theory
- Machine Learning & Deep Learning
Currently Working on
- General Information Estimation Framework
- Package & Software Installation Guide
- Machine Learning Research
- Causal Network
Ph.D Thesis Research
- Chapter 2: Statistics
- Chapter 3: Compact Modeling 1
- Chapter 3: Compact Modeling 2
- Chapter 4: Temporal Causal Analysis 1
- Chapter 4: Temporal Causal Analysis 2
- Chapter 4: Temporal Causal Analysis 3
- Chapter 5: Process Variable Estimation 1
- Chapter 5: Process Variable Estimation 2
Repositories
Chemical Process Modeling
Data Analysis
General Tools
Tutorials
Algorithm Research
- Local Interpretation for GBDT
- Classification with Incomplete Data
- Correlation Analysis
- Time Series Correlation Analysis
- Neural ODE Net Modeling (A)
- Neural ODE Net Modeling (B)
- Numerical Optimization
- Gaussian Process Regression
- Clustering
Practices
Application Cases
Reseach Projects
Published Papers
- L. Luo, G. He, C. Chen, X. Ji, L. Zhou, Y. Dai, Y. Dang. Adaptive Data Dimensionality Reduction for Chemical Process Modeling Based on the Information Criterion Related to Data Association and Redundancy. Industrial & Engineering Chemistry Research, 2022.
- L. Luo, G. He, Y. Zhang, X. Ji, L. Zhou, Y. Dai, Y. Dang. Association Measure and Compact Prediction for Chemical Process Data from An Information-theoretic Perspective. Processes, 2022.
- L. Luo, F. Cheng, T. Qiu, J. Zhao:Refined Convergent Cross-Mapping for Disturbance Propagation Analysis of Chemical Processes, Computers & Chemical Engineering, 2017.
- L. Luo, N. Zhang, Z. Xia, T. Qiu:Dynamics and Stability Analysis of Gas-Phase Bulk Polymerization of Propylene, Chemical Engineering Science, 2016.
- L. Luo, T. Qiu, J. Zhao:Process Optimization of Propylene under Parametric Disturbances, PSE Asia 2016.
- L. Luo, F. Cheng, T. Qiu, J. Zhao:An Improved Convergent Cross-Mapping Algorithm for Causality Identification and Time Delay Analysis between Systemic Variables under External Disturbance, CIESC Journal, 2016.
- 罗磊, 吉旭. 一种基于相关性分析和深度学习的多元非线性时间序列通用预测方法及其在化工过程中的应用. 2020年中国过程系统工程年会, 重庆, 2020.
- L. He, L. Luo, X. Hou, et al.:Predicting venous thromboembolism in hospitalized trauma patients: a combination of the Caprini score and data-driven machine learning model, BMC Emergency Medicine, 2021.
- Y. Zhang, L. Luo, X. Ji, et al.:Improved Random Forest Algorithm Based on Decision Paths for Fault Diagnosis of Chemical Process with Incomplete Data, Sensors, 2021.
Patents
- 罗磊, 李辰, 李玮, 廖强: 一种污染物浓度的预测模型训练方法、预测方法及装置, 2020.
- 张承武, 杨爱勇,罗磊, 韦飞, 冯建春, 舒喜, 宣添星, 张亚伟, 王敏: 一种复合脱硫装置石膏浆液密度测量方法及测量系统, 2020.
- 罗磊, 李辰, 李玮, 廖强: 基于高斯回归的大气污染物浓度的预测方法及装置， 2020 (审中).
- 廖强,罗磊, 王晓健, 姜海亮: 一种脱硫优化方法、装置、电子设备及存储介质, 2020 (审中).
Competitions & Awards
- 中国环境保护产业协会“环境技术进步二等奖”，第五完成人
- 百度天池国家电网调控AI创新大赛：新能源发电预测，参与人
Favorite Books
- H. Kantz, T. Schreiber:Nonelinear Time Series Analysis.
- C. Bishop:Pattern Recognition and Machine Learning.
- J. Nocedal, S. J. Wright:Numerical Optimization.
- T. M. Cover, J. A. Thomas:Elements of Information Theory.
- D. J. C. Mackay:Information Theory, Inference and Learning Algorithms.
- J. Pearl:The Book of Why.