Yexu Zhou

Orcid: 0000-0002-8866-7998

According to our database1, Yexu Zhou authored at least 22 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
AutoAugHAR: Automated Data Augmentation for Sensor-based Human Activity Recognition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., May, 2024

Explainable Deep Learning Framework for Human Activity Recognition.
CoRR, 2024

Standardizing Your Training Process for Human Activity Recognition Models: A Comprehensive Review in the Tunable Factors.
CoRR, 2024

ExTea: An Evolutionary Algorithm-Based Approach for Enhancing Explainability in Time-Series Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

Enhancing Efficiency in HAR Models: NAS Meets Pruning.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024

Optimizing AutoML for Tiny Edge Systems: A Baldwin-effect Inspired Genetic Algorithm.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024

MLP-HAR: Boosting Performance and Efficiency of HAR Models on Edge Devices with Purely Fully Connected Layers.
Proceedings of the 2024 ACM International Symposium on Wearable Computers, 2024

Deep Neural Network Pruning with Progressive Regularizer.
Proceedings of the International Joint Conference on Neural Networks, 2024

A Survey on Wearable Human Activity Recognition: Innovative Pipeline Development for Enhanced Research and Practice.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
MicroNAS: Memory and Latency Constrained Hardware-Aware Neural Architecture Search for Time Series Classification on Microcontrollers.
CoRR, 2023

randomHAR: Improving Ensemble Deep Learners for Human Activity Recognition with Sensor Selection and Reinforcement Learning.
CoRR, 2023

McXai: Local Model-Agnostic Explanation As Two Games.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
McXai: Local model-agnostic explanation as two games.
CoRR, 2022

Tools and methods for Edge-AI-systems.
Autom., 2022

Automatic Feature Engineering Through Monte Carlo Tree Search.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

TinyHAR: A Lightweight Deep Learning Model Designed for Human Activity Recognition.
Proceedings of the 2022 ACM International Symposium on Wearable Computers, 2022

Improving Human Activity Recognition Models by Learnable Sparse Wavelet Layer.
Proceedings of the 2022 ACM International Symposium on Wearable Computers, 2022

Universal Distributional Decision-Based Black-Box Adversarial Attack with Reinforcement Learning.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

DragTapVib: An On-Skin Electromagnetic Drag, Tap, and Vibration Actuator for Wearable Computing.
Proceedings of the AHs 2022: Augmented Humans 2022, Hybrid Event / Munich, Germany, March 13, 2022

2020
Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone.
CoRR, 2020

Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

2019
NeuralIO: Indoor Outdoor Detection via Multimodal Sensor Data Fusion on Smartphones.
Proceedings of the Science and Technologies for Smart Cities, 2019


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