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

Student Work
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

Open HiWi positions
Titel	Eintrittstermin
Building a deep learning framework for driving behavior prediction with data fusion.	ab 03 / 2023

Publications

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

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