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Temporal Segmentation of Fine-grained Semantic action: A Motion-Centered Figure Skating Dataset

Published in Association for the Advancement of Artificial Intelligence (AAAI2021), 2021

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Recommended citation: Liu, S., Zhang, A., Li, Y., Zhou, J., Xu, L., Dong, Z., & Zhang, R. (2021, May). Temporal segmentation of fine-gained semantic action: A motion-centered figure skating dataset. In Proceedings of the AAAI conference on artificial intelligence (Vol. 35, No. 3, pp. 2163-2171). https://doi.org/10.1609/aaai.v35i3.16314

When DSA Meets SWIPT: A Joint Power Allocation and Time Splitting Scheme Based on Multi-Agent Deep Reinforcement Learning

Published in IEEE Transactions on Vehicular Technology (IEEE TVT), 2022

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Recommended citation: R. Zhang, X. Li and N. Zhao, "When DSA Meets SWIPT: A Joint Power Allocation and Time Splitting Scheme Based on Multi-Agent Deep Reinforcement Learning," in IEEE Transactions on Vehicular Technology, vol. 72, no. 2, pp. 2740-2744, Feb. 2023, doi: 10.1109/TVT.2022.3213243. https://ieeexplore.ieee.org/document/9915473

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