Yexu Zhou

26 papers B 4Misc 3Journal 9Unranked 10
YearRankTypeTitle / Venue / Authors
2025 B conf
BodyPursuits: Exploring Smooth Pursuit Gaze Interaction Based on Body Motion Targets.
ETRA
Anja Hansen, Sarah Makarem, Kai Kunze, Yexu Zhou, Michael Thomas Knierim, Christopher Clarke, Hans Gellersen, Michael Beigl, Tobias Röddiger
2024 B conf
A Survey on Wearable Human Activity Recognition: Innovative Pipeline Development for Enhanced Research and Practice.
IJCNN
Yiran Huang, Yexu Zhou, Haibin Zhao, Till Riedel, Michael Beigl
2024 J jnl
AutoAugHAR: Automated Data Augmentation for Sensor-based Human Activity Recognition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Yexu Zhou, Haibin Zhao, Yiran Huang, Tobias Röddiger, Murat Kurnaz, Till Riedel, Michael Beigl
2024 B conf
Deep Neural Network Pruning with Progressive Regularizer.
IJCNN
Yexu Zhou, Haibin Zhao, Michael Hefenbrock, Siyan Li, Yiran Huang, Michael Beigl
2024 — conf
Enhancing Efficiency in HAR Models: NAS Meets Pruning.
PerCom Workshops
Yexu Zhou, Tobias King, Yiran Huang, Haibin Zhao, Till Riedel, Tobias Röddiger, Michael Beigl
2024 — conf
ExTea: An Evolutionary Algorithm-Based Approach for Enhancing Explainability in Time-Series Models.
ECML/PKDD (10)
Yiran Huang, Yexu Zhou, Haibin Zhao, Likun Fang, Till Riedel, Michael Beigl
2024 J jnl
Explainable Deep Learning Framework for Human Activity Recognition.
CoRR
Yiran Huang, Yexu Zhou, Haibin Zhao, Till Riedel, Michael Beigl
2024 Misc conf
MLP-HAR: Boosting Performance and Efficiency of HAR Models on Edge Devices with Purely Fully Connected Layers.
ISWC
Yexu Zhou, Tobias King, Haibin Zhao, Yiran Huang, Till Riedel, Michael Beigl
2024 — conf
Optimizing AutoML for Tiny Edge Systems: A Baldwin-effect Inspired Genetic Algorithm.
PerCom Workshops
Yiran Huang, Yexu Zhou, Haibin Zhao, Till Riedel, Michael Beigl
2024 J jnl
Standardizing Your Training Process for Human Activity Recognition Models: A Comprehensive Review in the Tunable Factors.
CoRR
Yiran Huang, Haibin Zhao, Yexu Zhou, Till Riedel, Michael Beigl
2024 — conf
Unsupervised Personalized Deep Learning for Wearable Human Activity Recognition.
ICONIP (5)
Yiran Huang, Yexu Zhou, Haibin Zhao, Till Riedel, Michael Beigl
2023 B conf
McXai: Local Model-Agnostic Explanation As Two Games.
IJCNN
Yiran Huang, Nicole Schaal, Michael Hefenbrock, Yexu Zhou, Till Riedel, Michael Beigl
2023 J jnl
MicroNAS: Memory and Latency Constrained Hardware-Aware Neural Architecture Search for Time Series Classification on Microcontrollers.
CoRR
Tobias King, Yexu Zhou, Tobias Röddiger, Michael Beigl
2023 — conf
Standardizing Your Training Process for Human Activity Recognition Models - A Comprehensive Review in the Tunable Factors.
MobiQuitous (2)
Yiran Huang, Haibin Zhao, Yexu Zhou, Till Riedel, Michael Beigl
2023 J jnl
randomHAR: Improving Ensemble Deep Learners for Human Activity Recognition with Sensor Selection and Reinforcement Learning.
CoRR
Yiran Huang, Yexu Zhou, Till Riedel, Likun Fang, Michael Beigl
2022 — conf
Automatic Feature Engineering Through Monte Carlo Tree Search.
ECML/PKDD (3)
Yiran Huang, Yexu Zhou, Michael Hefenbrock, Till Riedel, Likun Fang, Michael Beigl
2022 — conf
DragTapVib: An On-Skin Electromagnetic Drag, Tap, and Vibration Actuator for Wearable Computing.
AHs
Likun Fang, Ting Zhu, Erik Pescara, Yiran Huang, Yexu Zhou, Michael Beigl
2022 Misc conf
Improving Human Activity Recognition Models by Learnable Sparse Wavelet Layer.
ISWC
Haibin Zhao, Yexu Zhou, Till Riedel, Michael Hefenbrock, Michael Beigl
2022 J jnl
McXai: Local model-agnostic explanation as two games.
CoRR
Yiran Huang, Nicole Schaal, Michael Hefenbrock, Yexu Zhou, Till Riedel, Likun Fang, Michael Beigl
2022 Misc conf
TinyHAR: A Lightweight Deep Learning Model Designed for Human Activity Recognition.
ISWC
Yexu Zhou, Haibin Zhao, Yiran Huang, Till Riedel, Michael Hefenbrock, Michael Beigl
2022 J jnl
Tools and methods for Edge-AI-systems.
Autom.
Nils Schwabe, Yexu Zhou, Leon Hielscher, Tobias Röddiger, Till Riedel, Sebastian Reiter
2022 — conf
Universal Distributional Decision-Based Black-Box Adversarial Attack with Reinforcement Learning.
ICONIP (3)
Yiran Huang, Yexu Zhou, Michael Hefenbrock, Till Riedel, Likun Fang, Michael Beigl
2022 J jnl
Universal Distributional Decision-based Black-box Adversarial Attack with Reinforcement Learning.
CoRR
Yiran Huang, Yexu Zhou, Michael Hefenbrock, Till Riedel, Likun Fang, Michael Beigl
2020 — conf
Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone.
ECML/PKDD (4)
Yexu Zhou, Michael Hefenbrock, Yiran Huang, Till Riedel, Michael Beigl
2020 J jnl
Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone.
CoRR
Yexu Zhou, Yuting Gao, Yiran Huang, Michael Hefenbrock, Till Riedel, Michael Beigl
2019 — conf
NeuralIO: Indoor Outdoor Detection via Multimodal Sensor Data Fusion on Smartphones.
SmartCity360°
Long Wang, Lennard Sommer, Till Riedel, Michael Beigl, Yexu Zhou, Yiran Huang