Publications

黄逸然, Yexu Zhou, Haibin Zhao, Likun Fang, Till Riedel, Michael Beigl (2024). ExTea: An Evolutionary Algorithm-Based Approach for Enhancing Explainability in Time-Series Models. In ECMLPKDD.

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Zhechang Xue, 黄逸然, Hongnan Ma, Michael Beigl (2024). Generate Explanations for Time-series classification by ChatGPT. In XAI.

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黄逸然, Yexu Zhou, Haibin Zhao, Till Riedel, Michael Beigl (2024). A Survey on Wearable Human Activity Recognition: Innovative Pipeline Development for Enhanced Research and Practice. In WCCI.

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黄逸然, Yexu Zhou, Haibin Zhao, Till Riedel, Michael Beigl (2024). Optimizing AutoML for Tiny Edge Systems: A Baldwin-effect Inspired Genetic Algorithm. In PerCom.

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Yexu Zhou, Tobias King, 黄逸然, Likun Fang, Tobias Röddiger, Till Riedel, Michael Beigl (2024). Enhancing Efficiency in HAR Models: NAS Meets Pruning. In PerCom.

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黄逸然, Yexu Zhou, Haibin Zhao, Till Riedel, Michael Beigl (2024). A Survey on Wearable Human Activity Recognition: Innovative Pipeline Development for Enhanced Research and Practice. In IJCNN.

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黄逸然, Chaofan Li, Hansen Lu, Till Riedel, Michael Beigl (2023). State Graph Based Explanation Approach for Black-Box Time Series Model. In XAI.

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黄逸然, Haibin Zhao, Yexu Zhou, Till Riedel, Michael Beigl (2023). Standardizing Your Training Process for Human Activity Recognition Models: A Comprehensive Review in the Tunable Factors. In MobiQuitous.

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黄逸然, Yexu Zhou, Likun Fang, Till Riedel, Michael Beigl (2023). randomHAR: Improving Ensemble Deep Learners for Human Activity Recognition with Sensor Selection and Reinforcement Learning. In arXiv.

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黄逸然, Nicole Schaal, Michael Hefenbrock, Yexu Zhou, Till Riedel, Michael Beigl (2023). McXai: Local Model-Agnostic Explanation As Two Games. In IJCNN.

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Fang Likun, 黄逸然, M{\"u}ller Timo, Pescara Erik, Fischer Nikola, Michael Beigl (2023). Investigating Passive Haptic Learning of Piano Songs Using Three Tactile Sensations of Vibration, Stroking and Tapping. In IMWUT.

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黄逸然, Yexu Zhou, Michael Hefenbrock, Likun Fang, Till Riedel, Michael Beigl (2022). Universal Distributional Decision-Based Black-Box Adversarial Attack with Reinforcement Learning. In ICONIP.

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Likun Fang, 黄逸然, Ting Zhu, Pescara Erik, Yexu Zhou, Michael Beigl (2022). DragTapVib: An On-Skin Electromagnetic Drag, Tap, and Vibration Actuator for Wearable Computing. In AHs.

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黄逸然, Michael Hefenbrock, Yexu Zhou, Likun Fang, Till Riedel, Michael Beigl (2022). Automatic Feature Engineering Through Monte Carlo Tree Search. In ECML PKDD.

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Yexu Zhou, Michael Hefenbrock, 黄逸然, Till Riedel, Michael Beigl (2021). Automatic remaining useful life estimation framework with embedded convolutional LSTM as the backbone. In ECML PKDD.

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Long Wang, Lennard Sommer, 黄逸然, Yexu Zhou, Till Riedel, Michael Beigl (2020). NeuralIO: Indoor outdoor detection via multimodal sensor data fusion on smartphones. In Smart City 360.

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黄逸然 (2019). An example preprint / working paper.

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黄逸然, Robert Ford (2015). An example journal article. Journal of Source Themes, 1(1).

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黄逸然, Robert Ford (2013). An example conference paper. In ICW.

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