Ruixin Yang

Yang, R., Zhu, D., Howard, L. E., Hoedt, A. D., Schroeck, F. R., Klaassen, Z., … Williams, S. B. (2022). Context-Based Identification of Muscle Invasion Status in Patients With Bladder Cancer Using Natural Language Processing. JCO Clinical Cancer Informatics. https://doi.org/10.1200/CCI.21.00097

Yang, R., Zhu, D., Howard, L. E., Hoedt, A. D., Williams, S. B., Freedland, S. J., & Klaassen, Z. (2022). Identification of Patients With Metastatic Prostate Cancer With Natural Language Processing and Machine Learning. JCO Clinical Cancer Informatics. https://doi.org/10.1200/CCI.21.00071

Wang, L., Huang, B., Wu, X., & Yang, R. (2021). Continuous Human Learning Optimization with Enhanced Exploitation. In Communications in Computer and Information Science (pp. 472–487). https://doi.org/10.1007/978-981-16-7213-2_46

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., Ranshous, S., Li, S., & Samatova, N. F. (2018). Leveraging External Knowledge for Phrase-Based Topic Modeling. Proceedings - 2017 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2017, 29–32. https://doi.org/10.1109/TAAI.2017.25

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

Yang, R., Xu, M., Jones, P., & Samatova, N. (2018). Real time utility-based recommendation for revenue optimization via an adaptive online Top-K high utility itemsets mining model. ICNC-FSKD 2017 - 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, 1859–1866. https://doi.org/10.1109/FSKD.2017.8393050

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

Wang, L., Yang, R., Ni, H., Ye, W., Fei, M., & Pardalos, P. M. (2015). A human learning optimization algorithm and its application to multi-dimensional knapsack problems. APPLIED SOFT COMPUTING, 34, 736–743. https://doi.org/10.1016/j.asoc.2015.06.004

Wang, L., Ni, H., Yang, R., Pardalos, P. M., Du, X., & Fei, M. (2015). An adaptive simplified human learning optimization algorithm. Information Sciences, 320, 126–139. https://doi.org/10.1016/j.ins.2015.05.022

Wang, L., Ni, H., Yang, R., Pardalos, P. M., Jia, L., & Fei, M. (2015). Intelligent virtual reference feedback tuning and its application to heat treatment electric furnace control. Engineering Applications of Artificial Intelligence, 46, 1–9. https://doi.org/10.1016/j.engappai.2015.08.008

Wang, L., Ni, H., Yang, R., Fei, M., & Ye, W. (2014). A simple human learning optimization algorithm. In Communications in Computer and Information Science (Vol. 462, pp. 56–65). https://doi.org/10.1007/978-3-662-45261-5_7

Wang, L., Ni, H., Yang, R., Pappu, V., Fenn, M. B., & Pardalos, P. M. (2014). Feature selection based on meta-heuristics for biomedicine. Optimization Methods and Software, 29(4), 703–719. https://doi.org/10.1080/10556788.2013.834900

Wang, L., Yang, R., Pardalos, P. M., Qian, L., & Fei, M. (2013). An adaptive fuzzy controller based on harmony search and its application to power plant control. International Journal of Electrical Power and Energy Systems, 53(1), 272–278. https://doi.org/10.1016/j.ijepes.2013.05.015

Wang, L., Yang, R., Xu, Y., Niu, Q., Pardalos, P. M., & Fei, M. (2013). An improved adaptive binary Harmony Search algorithm. Information Sciences, 232, 58–87. https://doi.org/10.1016/j.ins.2012.12.043