Minimal Cost Device Calibration in Spectral Analysis via Meta Learning: Towards Efficient Deployment of Deep Neural Networks in Industry. - Xiang Xie; Muen Jin; Anqi Chu; Wilhelm Stork (IEEE Big Data, 2022)

Efficient Network Pruning via Feature Selection. - Xiang Xie; Tiantian Chen; Anqi Chu; Wilhelm Stork (ICPR, 2022)

Towards Predictive Lifetime-Oriented Temperature Control of Power Electronics in E-vehicles via Reinforcement Learning. - Anqi Chu; Xiang Xie; Chris Manuel Hermann; Wilhelm Stork; Jörg Roth-Stielow (IEEE Big Data, 2023)

Artificial Intelligence for Spectral Analysis: Challenges and Opportunities. - Anqi Chu; Xiang Xie; Wilhelm Stork (IEEE Big Data, 2023)

LETSCOPE: Lifecycle Extensions Through Software-Defined Predictive Control of Power Electronics. - Anqi Chu; Chris Manuel Hermann; Johannes Silz; Johannes Pfau; Kevin Muñoz Barón; Nidhi Anantharajaiah; Patrick Schmidt; Tim Hotfilter; Xiang Xie; Jürgen Becker 001; Ingmar Kallfass; Jörg Roth-Stielow; et al. (EUROCON, 2023)