Xiaodong Li

Orcid: 0000-0001-6690-836X

Affiliations:

Hohai University, School of Computer and Information, Nanjing, China
City University of Hong Kong, Department of Computer Science, Hong Kong (PhD 2014)

According to our database¹, Xiaodong Li authored at least 35 papers between 2010 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

TSSRD: A Topic Sentiment Summarization Framework Based on Reaching Definition.

[BibT_eX]

[DOI]

IEEE Trans. Affect. Comput., 2023

Action Pick-up in Dynamic Action Space Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization.

[BibT_eX]

[DOI]

CoRR, 2022

Stock Price Prediction Incorporating Market Style Clustering.

[BibT_eX]

[DOI]

Xiaodong Li

Pangjing Wu

Cogn. Comput., 2022

A Multi-Agent Deep Reinforcement Learning Framework for VWAP Strategy Optimization.

[BibT_eX]

[DOI]

Jiaqi Ye

Xiaodong Li

Yingying Wang

Proceedings of the International Joint Conference on Neural Networks, 2022

M2R: From Mathematical Models to Resource Description Framework.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

Many-to-Many Pair Trading.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021

Sentiment Lossless Summarization.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

2020

Incorporating stock prices and news sentiments for stock market prediction: A case of Hong Kong.

[BibT_eX]

[DOI]

Xiaodong Li

Pangjing Wu

Wenpeng Wang

Inf. Process. Manag., 2020

Flood Prediction Using Rainfall-Flow Pattern in Data-Sparse Watersheds.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

Market impact analysis via deep learned architectures.

[BibT_eX]

[DOI]

Xiaodong Li

Jingjing Cao

Zhaoqing Pan

Neural Comput. Appl., 2019

A Novel Hierarchical Topic Model for Horizontal Topic Expansion With Observed Label Information.

[BibT_eX]

[DOI]

IEEE Access, 2019

Improving Order Execution Cost Estimation by Semisupervised Learning.

[BibT_eX]

[DOI]

Xiaodong Li

Pangjing Wu

Rongrong Bo

IEEE Access, 2019

Transaction Cost Analysis via Label-Spreading Learning.

[BibT_eX]

[DOI]

Pangjing Wu

Xiaodong Li

Proceedings of the Machine Learning and Intelligent Communications, 2019

Artificial Intelligence Approaches for Urban Water Demand Forecasting: A Review.

[BibT_eX]

[DOI]

Abdullahi Uwaisu Muhammad

Xiaodong Li

Jun Feng

Proceedings of the Machine Learning and Intelligent Communications, 2019

Using LSTM GRU and Hybrid Models for Streamflow Forecasting.

[BibT_eX]

[DOI]

Abdullahi Uwaisu Muhammad

Xiaodong Li

Jun Feng

Proceedings of the Machine Learning and Intelligent Communications, 2019

Water Sound Recognition Based on Support Vector Machine.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication, 2019

2018

Automatic Approach of Sentiment Lexicon Generation for Mobile Shopping Reviews.

[BibT_eX]

[DOI]

Wirel. Commun. Mob. Comput., 2018

Stock Prediction via Sentimental Transfer Learning.

[BibT_eX]

[DOI]

IEEE Access, 2018

2017

Market impact analysis via sentimental transfer learning.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Big Data and Smart Computing, 2017

2016

Empirical analysis: stock market prediction via extreme learning machine.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2016

Incorporating sentiment into tag-based user profiles and resource profiles for personalized search in folksonomy.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2016

Personalized search for social media via dominating verbal context.

[BibT_eX]

[DOI]

Neurocomputing, 2016

2015

Class-specific soft voting based multiple extreme learning machines ensemble.

[BibT_eX]

[DOI]

Neurocomputing, 2015

Does Summarization Help Stock Prediction? A News Impact Analysis.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2015

2014

Community-aware user profile enrichment in folksonomy.

[BibT_eX]

[DOI]

Neural Networks, 2014

News impact on stock price return via sentiment analysis.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2014

Enhancing quantitative intra-day stock return prediction by integrating both market news and stock prices information.

[BibT_eX]

[DOI]

Neurocomputing, 2014

An intelligent market making strategy in algorithmic trading.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2014

Mining Latent User Community for Tag-Based and Content-Based Search in Social Media.

[BibT_eX]

[DOI]

Comput. J., 2014

Stock volatility prediction using multi-kernel learning based extreme learning machine.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Finding Dominating Set from Verbal Contextual Graph for Personalized Search in Folksonomy.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 2013

Document Summarization via Self-Present Sentence Relevance Model.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2013

2011

Improving Stock Market Prediction by Integrating Both Market News and Stock Prices.

[BibT_eX]

[DOI]

Proceedings of the Database and Expert Systems Applications, 2011

2010

Empirical Analysis: News Impact on Stock Prices Based on News Density.

[BibT_eX]

[DOI]

Proceedings of the ICDMW 2010, 2010

Xiaodong Li

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