Anqi Chu, M. Sc.
- Wissenschaftliche Mitarbeiterin
- Gruppe: Prof. Stork
- Raum: 2.29
CS 30.10 - Tel.: +49 721 608-46499
- anqi chu ∂does-not-exist.kit edu
- Engesserstr. 5
76131 Karlsruhe
M. Sc. Anqi Chu
Lebenslauf
- Bachelorstudium der Mechatronik an der Tongji Universität, Shanghai
- Masterstudium der Elektro- und Informationstechnik mit der Vertiefungsrichtung Elektromobilität am KIT
- Wissenschaftliche Mitarbeiterin am ITIV seit September 2022
Forschung
Letscope: Lifecycle Extensions through Software-Defined Predictive Control of Power Electronics
| Titel | Typ |
|---|---|
| Deep Learning-Ansatz zur Fahrverhaltensvorhersage mit Datenfusion | Masterarbeit |
| Cross-platform deployment and update of neural networks | Bachelor-/ Masterarbeit |
| Train your own AI agent with Reinforcement Learning: Gaming, dynamic controlling like a pro | Bachelor-/ Masterarbeit |
| Feature selection and model compression: fast, efficient and explainable machine learning | Bachelor-/ Masterarbeit |
| Meta-Learning: learning to learn. Generalisierung der Fähigkeit von neuronalen Netzen für Aufgabenserien | Bachelor-/ Masterarbeit |
| Machine Learning Algorithmen für Multi-Label Klassifikationsprobleme | Bachelor-/ Masterarbeit |
| Titel | Eintrittstermin |
|---|---|
| Aufbau eines Deep-Learning Frameworks zur Fahrverhaltensvorhersage mit Datenfusion | ab 03 / 2023 |
Publikationen
2023
Proceedingsbeiträge
LETSCOPE: Lifecycle Extensions Through Software-Defined Predictive Control of Power Electronics
Chu, A.; Hermann, C. M.; Silz, J.; Pfau, J.; Barón, K. M.; Anantharajaiah, N.; Schmidt, P.; Hotfilter, T.; Xie, X.; Becker, J.; Kallfass, I.; Roth-Stielow, J.; Stork, W.
2023. IEEE EUROCON 2023 - 20th International Conference on Smart Technologies, 665–670, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EUROCON56442.2023.10199076
Chu, A.; Hermann, C. M.; Silz, J.; Pfau, J.; Barón, K. M.; Anantharajaiah, N.; Schmidt, P.; Hotfilter, T.; Xie, X.; Becker, J.; Kallfass, I.; Roth-Stielow, J.; Stork, W.
2023. IEEE EUROCON 2023 - 20th International Conference on Smart Technologies, 665–670, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EUROCON56442.2023.10199076
2022
Proceedingsbeiträge
Minimal Cost Device Calibration in Spectral Analysis via Meta Learning: Towards Efficient Deployment of Deep Neural Networks in Industry
Xie, X.; Jin, M.; Chu, A.; Stork, W.
2022. IEEE International Conference on Big Data (Big Data), Osaka, Japan, 17th-20th December 2022, 2123–2132, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/BigData55660.2022.10020366
Xie, X.; Jin, M.; Chu, A.; Stork, W.
2022. IEEE International Conference on Big Data (Big Data), Osaka, Japan, 17th-20th December 2022, 2123–2132, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/BigData55660.2022.10020366
Efficient Network Pruning via Feature Selection
Xie, X.; Chen, T.; Chu, A.; Stork, W.
2022. 2022 26th International Conference on Pattern Recognition (ICPR), 1843–1850, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICPR56361.2022.9956190
Xie, X.; Chen, T.; Chu, A.; Stork, W.
2022. 2022 26th International Conference on Pattern Recognition (ICPR), 1843–1850, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICPR56361.2022.9956190