Chaofan Li
Karlsruhe Institute of Technology (KIT)
Campus Süd
Institute of Telematics
Chair for Pervasive Computing Systems / TECO
Vincenz-Prießnitz-Straße 1
76131 Karlsruhe
Germany
Building 07.07, Room 214
email: li(at)teco.edu
phone: +49 152 386-44903
SHORT CV
- since 2021 Ph.D. student and research associate in Computer Science at TECO
- 2018 – 2021 M.Sc. in Informatics from Karlsruhe Institute of Technology (KIT), Germany
- 2012 – 2016 B.Sc. in Computer Science and Technology from Harbin Institute of Technology (HIT), China
PROJECTS
- Since 2021 Urban Aerosol Distribution Prediction System Using Heterogeneous and Uncertain Data Sources
RESEARCH INTERESTS
- Machine Learning
- Natural Language Processing
PUBLICATION
2024
Deep Neural Network Pruning with Progressive Regularizer
Zhou, Y.; Zhao, H.; Hefenbrock, M.; Li, S.; Beigl, M.
2024. 2024 IEEE International Joint Conference on Neural Network (IJCNN 2024), Yokohama, 30th June - 05 July 2024, Institute of Electrical and Electronics Engineers (IEEE)
Zhou, Y.; Zhao, H.; Hefenbrock, M.; Li, S.; Beigl, M.
2024. 2024 IEEE International Joint Conference on Neural Network (IJCNN 2024), Yokohama, 30th June - 05 July 2024, Institute of Electrical and Electronics Engineers (IEEE)
2023
Automated Feature Engineering for Time Series Data. Bachelorarbeit
Li, K.
2023, August 1. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000161671
Li, K.
2023, August 1. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000161671
2022
Weights Assimilation for Split Manufacturing of Printed Neuromorphic Circuits. Bachelorarbeit
Li, S.
2022, Dezember 30. doi:10.5445/IR/1000158919
Li, S.
2022, Dezember 30. doi:10.5445/IR/1000158919
SmartAQnet 2020: A New Open Urban Air Quality Dataset from Heterogeneous PM Sensors
Li, C.; Budde, M.; Tremper, P.; Schäfer, K.; Riesterer, J.; Redelstein, J.; Petersen, E.; Khedr, M.; Liu, X.; Köpke, M.; Hussain, S.; Ernst, F.; Kowalski, M.; Pesch, M.; Werhahn, J.; Hank, M.; Philipp, A.; Cyrys, J.; Schnelle-Kreis, J.; Grimm, H.; Ziegler, V.; Peters, A.; Emeis, S.; Riedel, T.; Beigl, M.
2022. ProScience, 8. doi:10.14644/dust2021.001
Li, C.; Budde, M.; Tremper, P.; Schäfer, K.; Riesterer, J.; Redelstein, J.; Petersen, E.; Khedr, M.; Liu, X.; Köpke, M.; Hussain, S.; Ernst, F.; Kowalski, M.; Pesch, M.; Werhahn, J.; Hank, M.; Philipp, A.; Cyrys, J.; Schnelle-Kreis, J.; Grimm, H.; Ziegler, V.; Peters, A.; Emeis, S.; Riedel, T.; Beigl, M.
2022. ProScience, 8. doi:10.14644/dust2021.001