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

Open Student Work
Title	Subject	Tutor
Deep learning approach to driving behavior prediction with data fusion.	Reinforcement learning, deep learning, autonomous driving	M. Sc. Anqi Chu M. Sc. Xiang Xie
Cross-platform deployment and update of neural networks		M. Sc. Xiang Xie
Train your own AI agent with Reinforcement Learning: Gaming, dynamic controlling like a pro		M. Sc. Xiang Xie
Feature selection and model compression: fast, efficient and explainable machine learning		M. Sc. Xiang Xie
Meta-learning: learning to learn. Generalization of neural network capability for task series.		M. Sc. Xiang Xie
Machine learning algorithms for multi-label classification problems.		M. Sc. Xiang Xie

Offene HiWi Stellen
Titel	Eintrittstermin
Development of 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