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Haibin Zhao
Haibin Zhao
Pervasive Computing Systems, Karlsruhe Institute of Technology
Verified email at kit.edu - Homepage
Title
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Cited by
Year
Sensing with earables: A systematic literature review and taxonomy of phenomena
T Röddiger, C Clarke, P Breitling, T Schneegans, H Zhao, H Gellersen, ...
Proceedings of the ACM on interactive, mobile, wearable and ubiquitous …, 2022
492022
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
222022
Printed electrodermal activity sensor with optimized filter for stress detection
H Zhao, A Scholz, M Beigl, S Ni, SA Singaraju, J Aghassi-Hagmann
Proceedings of the 2022 ACM International Symposium on Wearable Computers …, 2022
72022
Aging-aware training for printed neuromorphic circuits
H Zhao, M Hefenbrock, M Beigl, MB Tahoori
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided …, 2022
52022
Aircase: Earable charging case with air quality monitoring and soundscape sonification
H Zhao, T Röddiger, M Beigl
Adjunct Proceedings of the 2021 ACM International Joint Conference on …, 2021
52021
Highly-bespoke robust printed neuromorphic circuits
H Zhao, B Sapui, M Hefenbrock, Z Yang, M Beigl, MB Tahoori
2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2023
42023
Power-aware training for energy-efficient printed neuromorphic circuits
H Zhao, P Pal, M Hefenbrock, M Beigl, MB Tahoori
2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-9, 2023
22023
Highly-dependable printed neuromorphic circuits based on additive manufacturing
H Zhao, M Hefenbrock, M Beigl, MB Tahoori
Flexible and Printed Electronics 8 (2), 025018, 2023
22023
Analog Printed Spiking Neuromorphic Circuit
P Pal, H Zhao, M Shatta, M Hefenbrock, SB Mamaghani, S Nassif, M Beigl, ...
2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2024
12024
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
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
Kalman Filtered Compressive Sensing Using Pseudo-Measurements
H Zhao, C Funk, B Noack, U Hanebeck, M Beigl
2021 IEEE International Conference on Multisensor Fusion and Integration for …, 2021
12021
Fault Sensitivity Analysis of Printed Bespoke Multilayer Perceptron Classifiers
P Pal, F Afentaki, H Zhao, G Saglam, M Hefenbrock, G Zervakis, M Beigl, ...
2024 IEEE European Test Symposium (ETS), 1-6, 2024
2024
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
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
Deep Neural Network Pruning with Progressive Regularizer
Y Zhou, H Zhao, M Hefenbrock, S Li, M Beigl
2024 IEEE International Joint Conference on Neural Network (IJCNN 2024 …, 2024
2024
Towards Temporal Information Processing–Printed Neuromorphic Circuits with Learnable Filters
H Zhao, P Pal, M Hefenbrock, M Beigl, MB Tahoori
Proceedings of the 18th ACM International Symposium on Nanoscale …, 2023
2023
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