Mingyang Xu

Works (4)

Updated: July 5th, 2023 15:36

2018 article

An Intelligent and Hybrid Weighted Fuzzy Time Series Model Based on Empirical Mode Decomposition for Financial Markets Forecasting

Yang, R., He, J., Xu, M., Ni, H., Jones, P., & Samatova, N. (2018, January 1). Lecture Notes in Computer Science, pp. 104–118.

By: R. Yang n , J. He*, M. Xu n, H. Ni n, P. Jones n & N. Samatova*

Contributors: R. Yang n , J. He*, M. Xu n, H. Ni n, P. Jones n & N. Samatova*

author keywords: EMD; Weighted fuzzy time series; Human learning optimization algorithm; Financial markets forecasting
topics (OpenAlex): Stock Market Forecasting Methods; Energy Load and Power Forecasting; Market Dynamics and Volatility
TL;DR: A new Intelligent Hybrid Weighted Fuzzy (IHWF) time series model to improve forecasting accuracy in financial markets, which are complex nonlinear time-sensitive systems, influenced by many factors. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: June 17, 2019

2018 article

Mining Aspect-Specific Opinions from Online Reviews Using a Latent Embedding Structured Topic Model

Xu, M., Yang, R., Jones, P., & Samatova, N. F. (2018, January 1). Lecture Notes in Computer Science, pp. 195–210.

By: M. Xu n, R. Yang n , P. Jones n & N. Samatova*

Contributors: M. Xu n, R. Yang n , P. Jones n & N. Samatova*

topics (OpenAlex): Sentiment Analysis and Opinion Mining; Advanced Text Analysis Techniques; Topic Modeling
TL;DR: This paper proposes a Latent embedding structured Opinion mining Topic model, called the LOT, which can simultaneously discover relevant aspect-level specific opinions from small or large numbers of reviews and to assign accurate sentiment to words. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
1. No Poverty (OpenAlex)
Sources: Web Of Science, ORCID
Added: January 28, 2019

2017 article

A Lifelong Learning Topic Model Structured Using Latent Embeddings

Xu, M., Yang, R., Harenberg, S., & Samatova, N. F. (2017, January 1). Proceedings - IEEE 11th International Conference on Semantic Computing, ICSC 2017, pp. 260–261.

By: M. Xu n, R. Yang n , S. Harenberg n & N. Samatova n

Contributors: M. Xu n, R. Yang n , S. Harenberg n & N. Samatova n

author keywords: Lifelong learning; Topic modeling; Latent embeddings
topics (OpenAlex): Topic Modeling; Natural Language Processing Techniques; Text and Document Classification Technologies
TL;DR: A latent-embedding-structured lifelong learning topic model, called the LLT model, to discover coherent topics from a corpus and exploit latent word embeddings to structure the model and mine word correlation knowledge to assist in topic modeling. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2017 article

An Intelligent Weighted Fuzzy Time Series Model Based on a Sine-Cosine Adaptive Human Learning Optimization Algorithm and Its Application to Financial Markets Forecasting

Yang, R., Xu, M., He, J., Ranshous, S., & Samatova, N. F. (2017, January 1). Lecture Notes in Computer Science, pp. 595–607.

By: R. Yang n , M. Xu n, J. He*, S. Ranshous n & N. Samatova n

Contributors: R. Yang n , M. Xu n, J. He*, S. Ranshous n & N. Samatova n

author keywords: Weighted fuzzy time series; Human learning optimization algorithm; Financial markets forecasting
topics (OpenAlex): Stock Market Forecasting Methods; Energy Load and Power Forecasting; Complex Systems and Time Series Analysis
TL;DR: An intelligent weighted fuzzy time series model for financial forecasting, which uses a sine-cosine adaptive human learning optimization (SCHLO) algorithm to search for the optimal parameters for forecasting, is presented. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: November 26, 2018

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