Anqi Chu, M. Sc.
- Wissenschaftliche Mitarbeiterin
- Group: Prof. Stork
- Room: 2.29
CS 30.10 - Phone: +49 721 608-46499
- anqi chu ∂does-not-exist.kit edu
- Engesserstr. 5
76131 Karlsruhe
M. Sc. Anqi Chu
Curriculum Vitae
- Bachelor studies of mechatronics at Tongji University, Shanghai
- Master studies in electrical engineering and information technology with specialization in electromobility at KIT
- Research associate at ITIV since September 2022
Research
Letscope: Lifecycle Extensions through Software-DefinedPredictive Control of Power Electronics
| Title | Type | Date |
|---|---|---|
| Deep learning approach to driving behavior prediction with data fusion. | Masterarbeit | ab 03 / 2023 |
| Cross-platform deployment and update of neural networks | Bachelor-/ Masterarbeit | ab 03 / 2023 |
| Train your own AI agent with Reinforcement Learning: Gaming, dynamic controlling like a pro | Bachelor-/ Masterarbeit | ab 03 / 2023 |
| Feature selection and model compression: fast, efficient and explainable machine learning | Bachelor-/ Masterarbeit | ab 03 / 2023 |
| Meta-learning: learning to learn. Generalization of neural network capability for task series. | Bachelor-/ Masterarbeit | ab 03 / 2023 |
| Machine learning algorithms for multi-label classification problems. | Bachelor-/ Masterarbeit | ab 03 / 2023 |
| Titel | Eintrittstermin |
|---|---|
| Building a deep learning framework for driving behavior prediction with data fusion. | ab 03 / 2023 |
Publications
2023
Conference Papers
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
Conference Papers
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