Stebėti
Yexu Zhou
Pavadinimas
Cituota
Cituota
Metai
TinyHAR: A lightweight deep learning model designed for human activity recognition
Y Zhou, H Zhao, Y Huang, T Riedel, M Hefenbrock, M Beigl
Proceedings of the 2022 ACM International Symposium on Wearable Computers, 89-93, 2022
132022
Automatic remaining useful life estimation framework with embedded convolutional LSTM as the backbone
Y Zhou, M Hefenbrock, Y Huang, T Riedel, M Beigl
Machine Learning and Knowledge Discovery in Databases: Applied Data Science …, 2021
102021
NeuralIO: Indoor outdoor detection via multimodal sensor data fusion on smartphones
L Wang, L Sommer, T Riedel, M Beigl, Y Zhou, Y Huang
Science and Technologies for Smart Cities: 5th EAI International Summit …, 2020
92020
DragTapVib: An On-Skin Electromagnetic Drag, Tap, and Vibration Actuator for Wearable Computing
L Fang, T Zhu, E Pescara, Y Huang, Y Zhou, M Beigl
Proceedings of the Augmented Humans International Conference 2022, 203-211, 2022
52022
McXai: local model-agnostic explanation as two games
Y Huang, N Schaal, M Hefenbrock, Y Zhou, T Riedel, M Beigl
2023 International Joint Conference on Neural Networks (IJCNN), 01-08, 2023
22023
Automatic Feature Engineering Through Monte Carlo Tree Search
Y Huang, Y Zhou, M Hefenbrock, T Riedel, L Fang, M Beigl
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022
22022
MicroNAS: Memory and Latency Constrained Hardware-Aware Neural Architecture Search for Time Series Classification on Microcontrollers
T King, Y Zhou, T Röddiger, M Beigl
arXiv preprint arXiv:2310.18384, 2023
12023
randomHAR: Improving Ensemble Deep Learners for Human Activity Recognition with Sensor Selection and Reinforcement Learning
Y Huang, Y Zhou, T Riedel, L Fang, M Beigl
arXiv preprint arXiv:2307.07770, 2023
12023
Universal Distributional Decision-Based Black-Box Adversarial Attack with Reinforcement Learning
Y Huang, Y Zhou, M Hefenbrock, T Riedel, L Fang, M Beigl
International Conference on Neural Information Processing, 206-215, 2022
12022
Improving Human Activity Recognition Models by Learnable Sparse Wavelet Layer
H Zhao, Y Zhou, T Riedel, M Hefenbrock, M Beigl
Proceedings of the 2022 ACM International Symposium on Wearable Computers, 84-88, 2022
12022
Standardizing Your Training Process for Human Activity Recognition Models: A Comprehensive Review in the Tunable Factors
Y Huang, H Zhao, Y Zhou, T Riedel, M Beigl
arXiv preprint arXiv:2401.05477, 2024
2024
Tools and methods for Edge-AI-systems
N Schwabe, Y Zhou, L Hielscher, T Röddiger, T Riedel, S Reiter
at-Automatisierungstechnik 70 (9), 767-776, 2022
2022
Ubiquitäre Systeme (Seminar) und Mobile Computing (Proseminar) SS 2019: Mobile und Verteilte Systeme Ubiquitous Computing. Teil XIX
E Pescara, P Tremper, J Formanek, M Hefenbrock, Y Huang, ...
2020
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Straipsniai 1–13