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  • Conference contribution

    A chaos-based self-adapting RGB image permutation scheme

    Luo, Y., Zhou, R., Cao, L., Liu, J., Bi, J., Cao, Y. & Qiu, S., 25 Jun 2018, ICNC-FSKD 2017 - 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery. Zhao, L., Wang, L., Cai, G., Li, K., Liu, Y. & Xiao, G. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 336-341 6 p. (ICNC-FSKD 2017 - 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • A hidden Markov model with abnormal states for detecting stock price manipulation

    Cao, Y., Li, Y., Coleman, S., Belatreche, A. & McGinnity, T. M., 1 Dec 2013, Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013. p. 3014-3019 6 p. 6722267. (Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • An efficient hardware architecture for multilayer spiking neural networks

    Luo, Y., Wan, L., Liu, J., Zhang, J. & Cao, Y., 2017, Neural Information Processing - 24th International Conference, ICONIP 2017, Proceedings. Liu, D., Xie, S., Zhao, D., Li, Y. & El-Alfy, E-S. M. (eds.). Springer-Verlag, p. 786-795 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10639 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • An energy-aware hybrid particle swarm optimization algorithm for Spiking Neural Network Mapping

    Liu, J., Huang, X., Luo, Y. & Cao, Y., 2017, Neural Information Processing - 24th International Conference, ICONIP 2017, Proceedings. Liu, D., Xie, S., El-Alfy, E-S. M., Zhao, D. & Li, Y. (eds.). Springer Verlag, p. 805-815 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10636 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • An extended algorithm using adaptation of momentum and learning rate for spiking neurons emitting multiple spikes

    Luo, Y., Fu, Q., Liu, J., Harkin, J., McDaid, L. & Cao, Y., 2017, Advances in Computational Intelligence - 14th International Work-Conference on Artificial Neural Networks, IWANN 2017, Proceedings. Catala, A., Rojas, I. & Joya, G. (eds.). Springer-Verlag, p. 569-579 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10305 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Chemical substance classification using long short-term memory recurrent neural network

    Zhang, J., Liu, J., Luo, Y., Fu, Q., Bi, J., Qiu, S., Cao, Y. & Ding, X., 17 May 2018, 2017 17th IEEE International Conference on Communication Technology, ICCT 2017. Institute of Electrical and Electronics Engineers Inc., p. 1994-1997 4 p. (International Conference on Communication Technology Proceedings, ICCT; vol. 2017-October).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Detecting price manipulation in the financial market

    Cao, Y., Li, Y., Coleman, S., Belatreche, A. & McGinnity, T. M., 14 Oct 2014, 2014 IEEE Conference on Computational Intelligence for Financial Engineering and Economics, CIFEr Proceedings. Almeida, R. J., Maringer, D., Palade, V. & Serguieva, A. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 77-84 8 p. 6924057. (IEEE/IAFE Conference on Computational Intelligence for Financial Engineering, Proceedings (CIFEr)).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Detecting wash trade in the financial market

    Cao, Y., Li, Y., Coleman, S., Belatreche, A. & McGinnity, T. M., 14 Oct 2014, 2014 IEEE Conference on Computational Intelligence for Financial Engineering and Economics, CIFEr Proceedings. Almeida, R. J., Maringer, D., Palade, V. & Serguieva, A. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 85-91 7 p. 6924058. (IEEE/IAFE Conference on Computational Intelligence for Financial Engineering, Proceedings (CIFEr)).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Financial data forecasting using optimized echo state network

    Liu, J., Sun, T., Luo, Y., Fu, Q., Cao, Y., Zhai, J. & Ding, X., 2018, Neural Information Processing - 25th International Conference, ICONIP 2018, Proceedings. Leung, A. C. S., Cheng, L. & Ozawa, S. (eds.). Springer-Verlag, p. 138-149 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11305 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Improving learning algorithm performance for spiking neural networks

    Fu, Q., Luo, Y., Liu, J., Bi, J., Qiu, S., Cao, Y. & Ding, X., 17 May 2018, 2017 17th IEEE International Conference on Communication Technology, ICCT 2017. Institute of Electrical and Electronics Engineers Inc., p. 1916-1919 4 p. (International Conference on Communication Technology Proceedings, ICCT; vol. 2017-October).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Improving the stability for spiking neural networks using anti-noise learning rule

    Luo, Y., Fu, Q., Liu, J., Huang, Y., Ding, X. & Cao, Y., 2018, PRICAI 2018: Trends in Artificial Intelligence - 15th Pacific Rim International Conference on Artificial Intelligence, Proceedings. Geng, X. & Kang, B-H. (eds.). Springer-Verlag, p. 29-37 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11013 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • On the calibration of stochastic volatility models: A comparison study

    Zhai, J. & Cao, Y., 14 Oct 2014, 2014 IEEE Conference on Computational Intelligence for Financial Engineering and Economics, CIFEr Proceedings. Almeida, R. J., Maringer, D., Palade, V. & Serguieva, A. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 303-309 7 p. 6924088. (IEEE/IAFE Conference on Computational Intelligence for Financial Engineering, Proceedings (CIFEr)).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Predicting financial volatility from personal transactional data

    Goh, R. Y., Andreeva, G. & Cao, Y., 5 May 2022, 2022 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, CIFEr 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (2022 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, CIFEr 2022 - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution