Mingyang Xu

Yang, R., He, J., Xu, M., Ni, H., Jones, P., & Samatova, N. (2018). An Intelligent and Hybrid Weighted Fuzzy Time Series Model Based on Empirical Mode Decomposition for Financial Markets Forecasting. ADVANCES IN DATA MINING: APPLICATIONS AND THEORETICAL ASPECTS (ICDM 2018), Vol. 10933, pp. 104–118. https://doi.org/10.1007/978-3-319-95786-9_8

Xu, M., Yang, R., Jones, P., & Samatova, N. F. (2018). Mining Aspect-Specific Opinions from Online Reviews Using a Latent Embedding Structured Topic Model. COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING, CICLING 2017, PT II, Vol. 10762, pp. 195–210. https://doi.org/10.1007/978-3-319-77116-8_15

Xu, M., Yang, R., Harenberg, S., & Samatova, N. F. (2017). A Lifelong Learning Topic Model Structured Using Latent Embeddings. 2017 11TH IEEE INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING (ICSC), pp. 260–261. https://doi.org/10.1109/icsc.2017.15

Yang, R., Xu, M., He, J., Ranshous, S., & Samatova, N. F. (2017). An Intelligent Weighted Fuzzy Time Series Model Based on a Sine-Cosine Adaptive Human Learning Optimization Algorithm and Its Application to Financial Markets Forecasting. ADVANCED DATA MINING AND APPLICATIONS, ADMA 2017, Vol. 10604, pp. 595–607. https://doi.org/10.1007/978-3-319-69179-4_42