• Selma Lagerløfs Vej 300, 3-2-06

    9220 Aalborg Ø

    Danmark

20142023

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Søgeresultater

  • 2021

    HeatFlex: Machine learning based data-driven flexibility prediction for individual heat pumps

    Brusokas, J., Pedersen, T. B., Siksnys, L., Zhang, D. & Chen, K., 22 jun. 2021, e-Energy '21: Proceedings of the Twelfth ACM International Conference on Future Energy Systems. New York: Association for Computing Machinery, s. 160-170 11 s.

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    5 Citationer (Scopus)
    84 Downloads (Pure)
  • 2019

    Collective protection: Preventing sensitive inferences via integrative transformation

    Zhang, D., Yao, L., Chen, K., Long, G. & Wang, S., nov. 2019, Proceedings - 19th IEEE International Conference on Data Mining, ICDM 2019. Wang, J., Shim, K. & Wu, X. (red.). IEEE, s. 1498-1503 6 s. 8970834. (Proceedings - IEEE International Conference on Data Mining, ICDM, Bind 2019-November).

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    9 Citationer (Scopus)
  • Distributionally robust semi-supervised learning for people-centric sensing

    Chen, K., Yao, L., Zhang, D., Chang, X., Long, G. & Wang, S., 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. AAAI Press, s. 3321-3328 8 s. (33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019).

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    27 Citationer (Scopus)
  • Learning attentional temporal cues of brainwaves with spatial embedding for motion intent detection

    Zhang, D., Chen, K., Jian, D., Yao, L., Wang, S. & Li, P., nov. 2019, Proceedings - 19th IEEE International Conference on Data Mining, ICDM 2019. Wang, J., Shim, K. & Wu, X. (red.). IEEE, s. 1450-1455 6 s. 8970671. (Proceedings - IEEE International Conference on Data Mining, ICDM, Bind 2019-November).

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    8 Citationer (Scopus)
  • Multi-agent attentional activity recognition

    Chen, K., Yao, L., Zhang, D., Guo, B. & Yu, Z., 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (red.). International Joint Conferences on Artificial Intelligence, s. 1344-1350 7 s. (IJCAI International Joint Conference on Artificial Intelligence, Bind 2019-August).

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    19 Citationer (Scopus)
  • Multi-agent attentional activity recognition

    Chen, K., Yao, L., Zhang, D., Guo, B. & Yu, Z., 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (red.). International Joint Conferences on Artificial Intelligence, s. 1344-1350 7 s. (IJCAI International Joint Conference on Artificial Intelligence, Bind 2019-August).

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    19 Citationer (Scopus)
  • 2018

    Cascade and parallel convolutional recurrent neural networks on EEG-based intention recognition for brain computer interface

    Zhang, D., Yao, L., Zhang, X., Wang, S., Chen, W. & Boots, R., 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI Press, s. 1703-1710 8 s. (32nd AAAI Conference on Artificial Intelligence, AAAI 2018).

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    90 Citationer (Scopus)
  • Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals

    Zhang, X., Yao, L., Sheng, Q. Z., Kanhere, S. S., Gu, T. & Zhang, D., 22 aug. 2018, 2018 IEEE International Conference on Pervasive Computing and Communications, PerCom 2018. IEEE, 8444575. (2018 IEEE International Conference on Pervasive Computing and Communications, PerCom 2018).

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    59 Citationer (Scopus)
  • Fuzzy integral optimization with deep Q-network for EEG-based intention recognition

    Zhang, D., Yao, L., Wang, S., Chen, K., Yang, Z. & Benatallah, B., 2018, Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Proceedings. Phung, D., Webb, G. I., Ho, B., Tseng, V. S., Ganji, M. & Rashidi, L. (red.). Physica-Verlag, s. 156-168 13 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 10937 LNAI).

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    9 Citationer (Scopus)
  • Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling

    Chen, K., Yao, L., Wang, X., Zhang, D., Gu, T., Yu, Z. & Yang, Z., 10 okt. 2018, 2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings. IEEE, 8489767. (Proceedings of the International Joint Conference on Neural Networks, Bind 2018-July).

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    24 Citationer (Scopus)
  • Ready for use: Subject-independent movement intention recognition via a convolutional attention model

    Zhang, D., Chen, K., Yao, L. & Wang, S., 17 okt. 2018, CIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management. Paton, N., Candan, S., Wang, H., Allan, J., Agrawal, R., Labrinidis, A., Cuzzocrea, A., Zaki, M., Srivastava, D., Broder, A. & Schuster, A. (red.). Association for Computing Machinery, s. 1763-1766 4 s. (International Conference on Information and Knowledge Management, Proceedings).

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    16 Citationer (Scopus)
  • 2017

    Multi-person brain activity recognition via comprehensive EEG signal analysis

    Zhang, X., Yao, L., Zhang, D., Wang, X., Sheng, Q. Z. & Gu, T., 7 nov. 2017, 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2017. Association for Computing Machinery, s. 28-37 10 s. (ACM International Conference Proceeding Series).

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    49 Citationer (Scopus)
  • 2016

    Defect-free GeSn alloy strips on Si by Sn self-catalyzed MBE method

    Yu, K., Zhang, D. L., Cong, H., Zhang, X., Zhao, Y., Cheng, B. W. & Li, C. B., 8 nov. 2016, 2016 IEEE 13th International Conference on Group IV Photonics, GFP 2016. IEEE Computer Society Press, s. 34-35 2 s. 7739080. (IEEE International Conference on Group IV Photonics GFP, Bind 2016-November).

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    3 Citationer (Scopus)