| 2025 | ETRA | BodyPursuits: Exploring Smooth Pursuit Gaze Interaction Based on Body Motion Targets. | Anja Hansen, Sarah Makarem, Kai Kunze, Yexu Zhou, Michael Thomas Knierim, Christopher Clarke, Hans Gellersen, Michael Beigl, Tobias Rddiger |
| 2024 | ICONIP | Unsupervised Personalized Deep Learning for Wearable Human Activity Recognition. | Yiran Huang, Yexu Zhou, Haibin Zhao, Till Riedel, Michael Beigl |
| 2024 | IJCNN | A Survey on Wearable Human Activity Recognition: Innovative Pipeline Development for Enhanced Research and Practice. | Yiran Huang, Yexu Zhou, Haibin Zhao, Till Riedel, Michael Beigl |
| 2024 | IJCNN | Deep Neural Network Pruning with Progressive Regularizer. | Yexu Zhou, Haibin Zhao, Michael Hefenbrock, Siyan Li, Yiran Huang, Michael Beigl |
| 2024 | ISWC | MLP-HAR: Boosting Performance and Efficiency of HAR Models on Edge Devices with Purely Fully Connected Layers. | Yexu Zhou, Tobias King, Haibin Zhao, Yiran Huang, Till Riedel, Michael Beigl |
| 2024 | PERCOM | Optimizing AutoML for Tiny Edge Systems: A Baldwin-effect Inspired Genetic Algorithm. | Yiran Huang, Yexu Zhou, Haibin Zhao, Till Riedel, Michael Beigl |
| 2024 | PERCOM | Enhancing Efficiency in HAR Models: NAS Meets Pruning. | Yexu Zhou, Tobias King, Yiran Huang, Haibin Zhao, Till Riedel, Tobias Rddiger, Michael Beigl |
| 2023 | IJCNN | McXai: Local Model-Agnostic Explanation As Two Games. | Yiran Huang, Nicole Schaal, Michael Hefenbrock, Yexu Zhou, Till Riedel, Michael Beigl |
| 2023 | Mobiquitous | Standardizing Your Training Process for Human Activity Recognition Models - A Comprehensive Review in the Tunable Factors. | Yiran Huang, Haibin Zhao, Yexu Zhou, Till Riedel, Michael Beigl |
| 2022 | ICONIP | Universal Distributional Decision-Based Black-Box Adversarial Attack with Reinforcement Learning. | Yiran Huang, Yexu Zhou, Michael Hefenbrock, Till Riedel, Likun Fang, Michael Beigl |
| 2022 | ISWC | Improving Human Activity Recognition Models by Learnable Sparse Wavelet Layer. | Haibin Zhao, Yexu Zhou, Till Riedel, Michael Hefenbrock, Michael Beigl |
| 2022 | ISWC | TinyHAR: A Lightweight Deep Learning Model Designed for Human Activity Recognition. | Yexu Zhou, Haibin Zhao, Yiran Huang, Till Riedel, Michael Hefenbrock, Michael Beigl |