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DSI - Foundations

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  1. Published

    Recent advances in quantum machine learning

    Zhang, Y. & Ni, Q., 20/03/2020, In: Quantum Engineering. 2, 1, 20 p., e34.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  2. Published

    Design and analysis of random multiple access quantum key distribution

    Zhang, Y. & Ni, Q., 20/03/2020, In: Quantum Engineering. 2, 1, 13 p., e31.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  3. Published

    Filter pruning with uniqueness mechanism in the frequency domain for efficient neural networks

    Zhang, S., Gao, M., Ni, Q. & Han, J., 14/04/2023, In: Neurocomputing. 530, p. 116-124 9 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  4. Published

    Intent-driven Closed-Loop Control and Management Framework for 6G Open RAN

    Zhang, J., Yang, C., Dong, R., Wang, Y., Anpalagan, A., Ni, Q. & Guizani, M., 15/02/2024, In: IEEE Internet of Things Journal. 11, 4, p. 6314-6327 14 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  5. Published

    Abnormal vibration detection of wind turbine based on temporal convolution network and multivariate coefficient of variation

    Zhan, J., Wu, C., Ma, X., Yang, C., Miao, Q. & Wang, S., 15/07/2022, In: Mechanical Systems and Signal Processing. 174, 15 p., 109082.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  6. Published

    STGAT-MAD: Spatial-Temporal Graph Attention Network for Multivariate Time Series Anomaly Detection

    Zhan, J., Wang, S., Ma, X., Wu, C., Yang, C., Zeng, D. & Wang, S., 27/04/2022, (ICASSP 2022) 2022 IEEE International Conference on Acoustics, Speech and Signal Processing, May 22-27, 2022, Singapore. IEEE, 5 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  7. Published

    Condition monitoring of wind turbines based on spatial-temporal feature aggregation networks

    Zhan, J., Wu, C., Yang, C., Miao, Q., Wang, S. & Ma, X., 1/11/2022, In: Renewable Energy. 200, p. 751-766 16 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  8. E-pub ahead of print

    HFN: Heterogeneous feature network for multivariate time series anomaly detection

    Zhan, J., Wu, C., Yang, C., Miao, Q. & Ma, X., 30/06/2024, In: Information Sciences. 670, 15 p., 120626.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  9. Published

    Enhancing Received Signal Strength-Based Localization through Coverage Hole Detection and Recovery

    Zhai, S., Tang, Z., Wang, D., Li, Q., Li, Z., Chen, X., Fang, D., Chen, F. & Wang, Z., 2018, In: Sensors. 18, 7, 23 p., 2075.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  10. Published

    A convolution BiLSTM neural network model for Chinese event extraction

    Zeng, Y., Yang, H., Feng, Y., Wang, Z. & Zhao, D., 2/12/2016, Natural Language Understanding and Intelligent Applications: 5th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2016, and 24th International Conference on Computer Processing of Oriental Languages, ICCPOL 2016, Kunming, China, December 2–6, 2016, Proceedings. Lin, C-Y., Xue, N., Zhao, D., Huang, X. & Feng, Y. (eds.). Cham: Springer, p. 275-287 13 p. ( Lecture Notes in Computer Science; vol. 10102).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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