Yexu Zhou
Karlsruhe Institute of Technology (KIT)
Campus Süd
Institute of Telematics
Chair for Pervasive Computing Systems / TECO
Vincenz-Prießnitz-Straße 1
76131 Karlsruhe
Germany
Building 07.07, Room 202
email: zhou(at)teco.edu
phone: +49 721 608-41713
Short CV
- Since 2019 PhD candidate and Reasearch Associate in computer science at TECO
- 2016- 2019 Master degree in Maschinenbau at KIT
- 2012 – 2016 Bachelor degree in Maschinenbau at KIT
- 2008- 2012 Bachelor degree in Elektrotechnik at UESTC
Projects
- Since 2019 Data Scientist @ Smart Data Solution Center (SDSC-BW) – Smart Data Analytics for Small and Medium Enterprises
Research Interests
- Automated machine learning ( Hyperparameter optimization and Neural Architecture Search)
- Computer Vision (object detection)
- Data mining
PUBLICATION
2024
MLP-HAR: Boosting Performance and Efficiency of HAR Models on Edge Devices with Purely Fully Connected Layers
Zhou, Y.; King, T.; Zhao, H.; Huang, Y.; Riedel, T.; Beigl, M.
2024. 2024 ACM International Symposium on Wearable Computers (ISWC ’24)
Zhou, Y.; King, T.; Zhao, H.; Huang, Y.; Riedel, T.; Beigl, M.
2024. 2024 ACM International Symposium on Wearable Computers (ISWC ’24)
ExTea: An Evolutionary Algorithm-Based Approach for Enhancing Explainability in Time-Series Models
Huang, Y.; Zhou, Y.; Zhao, H.; Fang, L.; Riedel, T.; Beigl, M.
2024. Springer. doi:10.5445/IR/1000171098
Huang, Y.; Zhou, Y.; Zhao, H.; Fang, L.; Riedel, T.; Beigl, M.
2024. Springer. doi:10.5445/IR/1000171098
Deep Neural Network Pruning with Progressive Regularizer
Zhou, Y.; Zhao, H.; Hefenbrock, M.; Li, S.; Beigl, M.
2024. 2024 IEEE International Joint Conference on Neural Network (IJCNN 2024), Yokohama, 30th June - 05 July 2024, Institute of Electrical and Electronics Engineers (IEEE)
Zhou, Y.; Zhao, H.; Hefenbrock, M.; Li, S.; Beigl, M.
2024. 2024 IEEE International Joint Conference on Neural Network (IJCNN 2024), Yokohama, 30th June - 05 July 2024, Institute of Electrical and Electronics Engineers (IEEE)
A Survey on Wearable Human Activity Recognition: Innovative Pipeline Development for Enhanced Research and Practice
Huang, Y.; Zhou, Y.; Zhao, H.; Riedel, T.; Beigl, M.
2024. 2024 IEEE International Joint Conference on Neural Networks (IJCNN 2024), Yokohama, 30th June - 5th July 2024, Institute of Electrical and Electronics Engineers (IEEE)
Huang, Y.; Zhou, Y.; Zhao, H.; Riedel, T.; Beigl, M.
2024. 2024 IEEE International Joint Conference on Neural Networks (IJCNN 2024), Yokohama, 30th June - 5th July 2024, Institute of Electrical and Electronics Engineers (IEEE)
AutoAugHAR: Automated Data Augmentation for Sensor-based Human Activity Recognition
Zhou, Y.; Zhao, H.; Huang, Y.; Röddiger, T.; Kurnaz, M.; Riedel, T.; Beigl, M.
2024. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 8 (2), Art.-Nr.: 48. doi:10.1145/3659589
Zhou, Y.; Zhao, H.; Huang, Y.; Röddiger, T.; Kurnaz, M.; Riedel, T.; Beigl, M.
2024. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 8 (2), Art.-Nr.: 48. doi:10.1145/3659589
Enhancing Efficiency in HAR Models: NAS Meets Pruning
Zhou, Y.; King, T.; Huang, Y.; Zhao, H.; Riedel, T.; Röddiger, T.; Beigl, M.
2024. 22nd IEEE International Conference on Pervasive Computing and Communications (PerCom 2024), Institute of Electrical and Electronics Engineers (IEEE)
Zhou, Y.; King, T.; Huang, Y.; Zhao, H.; Riedel, T.; Röddiger, T.; Beigl, M.
2024. 22nd IEEE International Conference on Pervasive Computing and Communications (PerCom 2024), Institute of Electrical and Electronics Engineers (IEEE)
Optimizing AutoML for Tiny Edge Systems: A Baldwin-effect Inspired Genetic Algorithm
Huang, Y.; Zhou, Y.; Zhao, H.; Riedel, T.; Beigl, M.
2024. 22nd IEEE International Conference on Pervasive Computing and Communicaitons (PerCom 2024), Institute of Electrical and Electronics Engineers (IEEE)
Huang, Y.; Zhou, Y.; Zhao, H.; Riedel, T.; Beigl, M.
2024. 22nd IEEE International Conference on Pervasive Computing and Communicaitons (PerCom 2024), Institute of Electrical and Electronics Engineers (IEEE)
Unsupervised Personalized Deep Learning for Wearable Human Activity Recognition
Huang, Y.; Zhou, Y.; Zhao, H.; Riedel, T.; Beigl, M.
2024. Springer
Huang, Y.; Zhou, Y.; Zhao, H.; Riedel, T.; Beigl, M.
2024. Springer
2023
Standardizing Your Training Process for Human Activity Recognition Models – A Comprehensive Review in the Tunable Factors
Huang, Y.; Zhao, H.; Zhou, Y.; Riedel, T.; Beigl, M.
2023. Proceedings of the 20th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2023), Springer
Huang, Y.; Zhao, H.; Zhou, Y.; Riedel, T.; Beigl, M.
2023. Proceedings of the 20th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2023), Springer
2022
Tools and methods for Edge-AI-systems
Schwabe, N.; Zhou, Y.; Hielscher, L.; Röddiger, T.; Riedel, T.; Reiter, S.
2022. at - Automatisierungstechnik, 70 (9), 767–776. doi:10.1515/auto-2022-0023
Schwabe, N.; Zhou, Y.; Hielscher, L.; Röddiger, T.; Riedel, T.; Reiter, S.
2022. at - Automatisierungstechnik, 70 (9), 767–776. doi:10.1515/auto-2022-0023
TinyHAR: A Lightweight Deep Learning Model Designed for Human Activity Recognition
Zhou, Y.; Zhao, H.; Huang, Y.; Hefenbrock, M.; Riedel, T.; Beigl, M.
2022. International Symposium on Wearable Computers (ISWC’22) , Atlanta, GA and Cambridge, UK, September 11-15, 2022, 89–93, Association for Computing Machinery (ACM). doi:10.1145/3544794.3558467
Zhou, Y.; Zhao, H.; Huang, Y.; Hefenbrock, M.; Riedel, T.; Beigl, M.
2022. International Symposium on Wearable Computers (ISWC’22) , Atlanta, GA and Cambridge, UK, September 11-15, 2022, 89–93, Association for Computing Machinery (ACM). doi:10.1145/3544794.3558467
Improving Human Activity Recognition Models by Learnable Sparse Wavelet Layer
Zhao, H.; Zhou, Y.; Riedel, T.; Hefenbrock, M.; Beigl, M.
2022. International Symposium on Wearable Computers (ISWC’22) , Atlanta, GA and Cambridge, UK, September 11-15, 2022, 84–88, Association for Computing Machinery (ACM). doi:10.1145/3544794.3558461
Zhao, H.; Zhou, Y.; Riedel, T.; Hefenbrock, M.; Beigl, M.
2022. International Symposium on Wearable Computers (ISWC’22) , Atlanta, GA and Cambridge, UK, September 11-15, 2022, 84–88, Association for Computing Machinery (ACM). doi:10.1145/3544794.3558461
DragTapVib: An On-Skin Electromagnetic Drag, Tap, and Vibration Actuator for Wearable Computing
Fang, L.; Zhu, T.; Pescara, E.; Huang, Y.; Zhou, Y.; Beigl, M.
2022. Augmented Humans 2022. Ed.: M. Mochimaru, 203–211, Association for Computing Machinery (ACM). doi:10.1145/3519391.3519395
Fang, L.; Zhu, T.; Pescara, E.; Huang, Y.; Zhou, Y.; Beigl, M.
2022. Augmented Humans 2022. Ed.: M. Mochimaru, 203–211, Association for Computing Machinery (ACM). doi:10.1145/3519391.3519395
McXai: Local model-agnostic explanation as two games
Huang, Y.; Schaal, N.; Hefenbrock, M.; Zhou, Y.; Riedel, T.; Fang, L.; Beigl, M.
2022
Huang, Y.; Schaal, N.; Hefenbrock, M.; Zhou, Y.; Riedel, T.; Fang, L.; Beigl, M.
2022
2021
Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone
Zhou, Y.; Hefenbrock, M.; Huang, Y.; Riedel, T.; Beigl, M.
2021. Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track : European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part IV. Ed.: Y. Dong, 461–477, Springer International Publishing. doi:10.1007/978-3-030-67667-4_28
Zhou, Y.; Hefenbrock, M.; Huang, Y.; Riedel, T.; Beigl, M.
2021. Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track : European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part IV. Ed.: Y. Dong, 461–477, Springer International Publishing. doi:10.1007/978-3-030-67667-4_28
2020
Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone
Zhou, Y.; Gao, Y.; Huang, Y.; Hefenbrock, M.; Riedel, T.; Beigl, M.
2020
Zhou, Y.; Gao, Y.; Huang, Y.; Hefenbrock, M.; Riedel, T.; Beigl, M.
2020
NeuralIO: Indoor outdoor detection via multimodal sensor data fusion on smartphones
Wang, L.; Sommer, L.; Riedel, T.; Beigl, M.; Zhou, Y.; Huang, Y.
2020. Science and Technologies for Smart Cities: 5th EAI International Summit, SmartCity360, Braga, Portugal, December 4-6, 2019, Proceedings. Ed.: H. Santos, 127–138, Springer. doi:10.1007/978-3-030-51005-3_13
Wang, L.; Sommer, L.; Riedel, T.; Beigl, M.; Zhou, Y.; Huang, Y.
2020. Science and Technologies for Smart Cities: 5th EAI International Summit, SmartCity360, Braga, Portugal, December 4-6, 2019, Proceedings. Ed.: H. Santos, 127–138, Springer. doi:10.1007/978-3-030-51005-3_13
NeuralIO: Indoor-Outdoor Detection via Multimodal Sensor Data Fusion on Smartphones
Wang, L.; Sommer, L.; Zhou, Y.; Huang, Y.; Wang, J.; Riedel, T.; Beigl, M.
2020. Sensors and materials, 32 (1), Article: 1. doi:10.18494/SAM.2020.2586
Wang, L.; Sommer, L.; Zhou, Y.; Huang, Y.; Wang, J.; Riedel, T.; Beigl, M.
2020. Sensors and materials, 32 (1), Article: 1. doi:10.18494/SAM.2020.2586