Yexu Zhou

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Feature Engineering

Human Activity Recognition

Top Venues

PerCom Workshops

Publications

Yexu Zhou, Haibin Zhao, Yiran Huang, Tobias Röddiger, Murat Kurnaz, Till Riedel, Michael Beigl
AutoAugHAR: Automated Data Augmentation for Sensor-based Human Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8 (2) (2024)
Yiran Huang, Haibin Zhao, Yexu Zhou, Till Riedel, Michael Beigl
Standardizing Your Training Process for Human Activity Recognition Models: A Comprehensive Review in the Tunable Factors. CoRR (2024)
Yiran Huang, Yexu Zhou, Haibin Zhao, Till Riedel, Michael Beigl
Optimizing AutoML for Tiny Edge Systems: A Baldwin-effect Inspired Genetic Algorithm. PerCom Workshops (2024)
Yexu Zhou, Tobias King, Yiran Huang, Haibin Zhao, Till Riedel, Tobias Röddiger, Michael Beigl
Enhancing Efficiency in HAR Models: NAS Meets Pruning. PerCom Workshops (2024)
Tobias King, Yexu Zhou, Tobias Röddiger, Michael Beigl
MicroNAS: Memory and Latency Constrained Hardware-Aware Neural Architecture Search for Time Series Classification on Microcontrollers. CoRR (2023)
Yiran Huang, Yexu Zhou, Till Riedel, Likun Fang, Michael Beigl
randomHAR: Improving Ensemble Deep Learners for Human Activity Recognition with Sensor Selection and Reinforcement Learning. CoRR (2023)
Yiran Huang, Nicole Schaal, Michael Hefenbrock, Yexu Zhou, Till Riedel, Michael Beigl
McXai: Local Model-Agnostic Explanation As Two Games. IJCNN (2023)
Yexu Zhou, Haibin Zhao, Yiran Huang, Till Riedel, Michael Hefenbrock, Michael Beigl
TinyHAR: A Lightweight Deep Learning Model Designed for Human Activity Recognition. ISWC (2022)
Yiran Huang, Yexu Zhou, Michael Hefenbrock, Till Riedel, Likun Fang, Michael Beigl
Automatic Feature Engineering Through Monte Carlo Tree Search. ECML/PKDD (3) (2022)
Nils Schwabe, Yexu Zhou, Leon Hielscher, Tobias Röddiger, Till Riedel, Sebastian Reiter
Tools and methods for Edge-AI-systems. Autom. 70 (9) (2022)
Yiran Huang, Nicole Schaal, Michael Hefenbrock, Yexu Zhou, Till Riedel, Likun Fang, Michael Beigl
McXai: Local model-agnostic explanation as two games. CoRR (2022)
Likun Fang, Ting Zhu, Erik Pescara, Yiran Huang, Yexu Zhou, Michael Beigl
DragTapVib: An On-Skin Electromagnetic Drag, Tap, and Vibration Actuator for Wearable Computing. AHs (2022)
Yiran Huang, Yexu Zhou, Michael Hefenbrock, Till Riedel, Likun Fang, Michael Beigl
Universal Distributional Decision-based Black-box Adversarial Attack with Reinforcement Learning. CoRR (2022)
Yiran Huang, Yexu Zhou, Michael Hefenbrock, Till Riedel, Likun Fang, Michael Beigl
Universal Distributional Decision-Based Black-Box Adversarial Attack with Reinforcement Learning. ICONIP (3) (2022)
Haibin Zhao, Yexu Zhou, Till Riedel, Michael Hefenbrock, Michael Beigl
Improving Human Activity Recognition Models by Learnable Sparse Wavelet Layer. ISWC (2022)
Yexu Zhou, Michael Hefenbrock, Yiran Huang, Till Riedel, Michael Beigl
Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone. ECML/PKDD (4) (2020)
Yexu Zhou, Yuting Gao, Yiran Huang, Michael Hefenbrock, Till Riedel, Michael Beigl
Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone. CoRR (2020)
Long Wang, Lennard Sommer, Till Riedel, Michael Beigl, Yexu Zhou, Yiran Huang
NeuralIO: Indoor Outdoor Detection via Multimodal Sensor Data Fusion on Smartphones. SmartCity360° (2019)