About Me
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.
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
Engineering & Materials Science
# Sleep
Mathematics
# Infill Asymptotics
# Learning Process
# Logistic Regression
# Point Process
# Prediction
# Sleep
# Spatio-Temporal Process
Organisations
Publications
Recent
Lu, C.
, Pathak, S.
, Englebienne, G.
, & Seifert, C. (2022).
Channel Contribution In Deep Learning Based Automatic Sleep Scoring – How Many Channels Do We Need?
IEEE transactions on neural systems and rehabilitation engineering,
31, 494-505.
https://doi.org/10.1109/TNSRE.2022.3227040
Lu, C.
, van Lieshout, M-C.
, de Graaf, M., & Visscher, P. (2021).
Chimney fire prediction based on environmental variables. 288-291. Paper presented at 63rd World Statistics Congress, ISI 2021, Virtual.
https://www.isi-web.org/files/docs/papers-and-abstracts/86-day2-cps036-chimney-fire-prediction-based.pdf
Pathak, S.
, Lu, C., Belur Nagaraj, S.
, van Putten, M. J. A. M.
, & Seifert, C. (2021).
STQS: Interpretable multi-modal Spatial-Temporal-seQuential model for automatic Sleep scoring.
Artificial intelligence in medicine,
114, [102038].
https://doi.org/10.1016/j.artmed.2021.102038
UT Research Information System
Contact Details
Visiting Address
University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
(building no. 11)
Hallenweg 19
7522NH Enschede
The Netherlands
Mailing Address
University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
P.O. Box 217
7500 AE Enschede
The Netherlands