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Yiran Huang
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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
212022
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
132021
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
32023
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
32022
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
22022
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
12024
Investigating Passive Haptic Learning of Piano Songs Using Three Tactile Sensations of Vibration, Stroking and Tapping
L Fang, T Müller, E Pescara, N Fischer, Y Huang, M Beigl
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 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
AutoAugHAR: Automated Data Augmentation for Sensor-based Human Activity Recognition
Y Zhou, H Zhao, Y Huang, T Röddiger, M Kurnaz, T Riedel, M Beigl
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2024
2024
Enhancing Efficiency in HAR Models: NAS Meets Pruning
Y Zhou, T King, Y Huang, H Zhao, T Riedel, T Röddiger, M Beigl
2024 IEEE International Conference on Pervasive Computing and Communications …, 2024
2024
Optimizing AutoML for Tiny Edge Systems: A Baldwin-effect Inspired Genetic Algorithm
Y Huang, Y Zhou, H Zhao, T Riedel, M Beigl
2024 IEEE International Conference on Pervasive Computing and Communications …, 2024
2024
ExTea: An Evolutionary Algorithm-Based Approach for Enhancing Explainability in Time-Series Models
Y Huang, Y Zhou, H Zhao, L Fang, T Riedel, M Beigl
2024
Generate Explanations for Time-series classification by ChatGPT
Z Xue, Y Huang, H Ma, M Beigl
Explainable Artificial Intelligence, Malta, 17th–19th June 2024, 2024
2024
A Survey on Wearable Human Activity Recognition: Innovative Pipeline Development for Enhanced Research and Practice
Y Huang, Y Zhou, H Zhao, T Riedel, M Beigl
2024 IEEE International Joint Conference on Neural Networks (IJCNN 2024 …, 2024
2024
State Graph Based Explanation Approach for Black-Box Time Series Model
Y Huang, C Li, H Lu, T Riedel, M Beigl
World Conference on Explainable Artificial Intelligence, 153-164, 2023
2023
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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