C. Lu MSc | People Pages: Find employees & contact details | University of Twente

Hi, I am Changqing. I am currently a PhD student with the Stochastic Operations Research group. I achieved my bachelor degree on information engineering at Northwestern Polytechnical University, China, and my master degree on computer science at University of Twente , the Netherlands.

My research interests are spatial statistics, spatio-temporal point processes, mathematical inferences and asymptotics, as well as the development of machine (deep) learning tool for point process models. Typical point processes are like, earthquakes, fire incidents, criminal events, and for big data, like, New York city taxi tracks.

Expertise

Computer Science
- Models
- Explanatory Variable
- Random Decision Forest
- Brownian Motion
- Collected Data
Mathematics
- Point Process
- intensity function λ
- Regression Estimation

Organisations

Publications

2024

M.N.M. van Lieshout and C. Lu's contribution to the Discussion of 'the Discussion Meeting on Probabilistic and statistical aspects of machine learning' (2024)Journal of the Royal Statistical Society. Series B: Statistical Methodology, 86(2), 306-307. van Lieshout, M.-C. & Lu, C.https://doi.org/10.1093/jrsssb/qkad150XGBoostPP: Tree-based Estimation of Point Process Intensity Functions (2024)[Working paper › Preprint]. ArXiv.org. Lu, C., Guan, Y., van Lieshout, M.-C. & Xu, G.https://doi.org/10.48550/arXiv.2401.17966

2023

Data-driven chimney fire risk prediction using machine learning and point process tools (2023)Annals of applied statistics, 17(4), 3088-3111. Lu, C., van Lieshout, M.-C., de Graaf, M. & Visscher, P.https://doi.org/10.1214/23-AOAS1752

2022

Channel Contribution In Deep Learning Based Automatic Sleep Scoring – How Many Channels Do We Need? (2022)IEEE transactions on neural systems and rehabilitation engineering, 31, 494-505. Lu, C., Pathak, S., Englebienne, G. & Seifert, C.https://doi.org/10.1109/TNSRE.2022.3227040Infill asymptotics for logistic regression estimators for spatio-temporal point processes (2022)[Working paper › Preprint]. ArXiv.org. van Lieshout, M.-C. & Lu, C.https://doi.org/10.48550/arXiv.2208.12080

2021

Data-driven chimney fire risk prediction using machine learning and point process tools (2021)[Working paper › Preprint]. ArXiv.org. Lu, C., van Lieshout, M.-C., de Graaf, M. & Visscher, P.https://doi.org/10.48550/arXiv.2112.07257STQS: Interpretable multi-modal Spatial-Temporal-seQuential model for automatic Sleep scoring (2021)Artificial intelligence in medicine, 114. Article 102038. Pathak, S., Lu, C., Belur Nagaraj, S., van Putten, M. J. A. M. & Seifert, C.https://doi.org/10.1016/j.artmed.2021.102038Chimney fire prediction based on environmental variables (2021)[Contribution to conference › Paper] 63rd World Statistics Congress, ISI 2021. Lu, C., van Lieshout, M.-C., de Graaf, M. & Visscher, P.https://www.isi-web.org/files/docs/papers-and-abstracts/86-day2-cps036-chimney-fire-prediction-based.pdf

Research profiles

Address

University of Twente

Zilverling (building no. 11)
Hallenweg 19
7522 NH Enschede
Netherlands

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University of Twente

Zilverling (building no. 11), room 4054
Hallenweg 19
7522 NH Enschede
Netherlands

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Organisations