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

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PhD thesis

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On csauthors.net:

Bibliography

2024

AutoAugHAR: Automated Data Augmentation for Sensor-based Human Activity Recognition.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., May, 2024

Explainable Deep Learning Framework for Human Activity Recognition.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

ExTea: An Evolutionary Algorithm-Based Approach for Enhancing Explainability in Time-Series Models.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

Enhancing Efficiency in HAR Models: NAS Meets Pruning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2024 ACM International Symposium on Wearable Computers, 2024

Deep Neural Network Pruning with Progressive Regularizer.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

McXai: Local Model-Agnostic Explanation As Two Games.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

McXai: Local model-agnostic explanation as two games.

[BibT_eX]

[DOI]

CoRR, 2022

Tools and methods for Edge-AI-systems.

[BibT_eX]

[DOI]

Autom., 2022

Automatic Feature Engineering Through Monte Carlo Tree Search.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

TinyHAR: A Lightweight Deep Learning Model Designed for Human Activity Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2022 ACM International Symposium on Wearable Computers, 2022

Improving Human Activity Recognition Models by Learnable Sparse Wavelet Layer.

[BibT_eX]

[DOI]

Proceedings of the 2022 ACM International Symposium on Wearable Computers, 2022

Universal Distributional Decision-Based Black-Box Adversarial Attack with Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 29th International Conference, 2022

DragTapVib: An On-Skin Electromagnetic Drag, Tap, and Vibration Actuator for Wearable Computing.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Science and Technologies for Smart Cities, 2019

Yexu Zhou

Timeline

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