Xiaodong Li

According to our database, Xiaodong Li authored at least 39 papers between 2010 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Robust annotation aggregation in crowdsourcing via enhanced worker ability modeling.

Ju Chen, Jun Feng, Shenyu Zhang, Xiaodong Li, Hamza Djigal

Inf. Process. Manag., 2025

2024

Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization.

Xiaodong Li, Pangjing Wu, Chenxin Zou, Qing Li

IEEE Trans. Big Data, June, 2024

2023

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

Xiaodong Li, Chenxin Zou, Pangjing Wu, Qing Li

IEEE Trans. Affect. Comput., 2023

Sentimental Contrastive Learning for event representation.

Yan Zhou, Xiaodong Li

Nat. Lang. Process. J., 2023

Action Pick-up in Dynamic Action Space Reinforcement Learning.

Jiaqi Ye, Xiaodong Li, Pangjing Wu, Feng Wang

CoRR, 2023

Time Series Model Interpretation via Temporal Feature Sampling.

Zhaoyang Liu, Xiaodong Li, Yanping Cui

Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

2022

Stock Price Prediction Incorporating Market Style Clustering.

Xiaodong Li, Pangjing Wu

Cogn. Comput., 2022

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

Jiaqi Ye, Xiaodong Li, Yingying Wang

Proceedings of the International Joint Conference on Neural Networks, 2022

M2R: From Mathematical Models to Resource Description Framework.

Chenxin Zou, Xiaodong Li, Pangjing Wu, Haoran Xie

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

Many-to-Many Pair Trading.

Yingying Wang, Xiaodong Li, Pangjing Wu, Haoran Xie

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

2021

Sentiment Lossless Summarization.

Xiaodong Li, Pangjing Wu, Chenxin Zou, Haoran Xie, Fu Lee Wang

Knowl. Based Syst., 2021

2020

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

Xiaodong Li, Pangjing Wu, Wenpeng Wang

Inf. Process. Manag., 2020

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

Yuelong Zhu, Jun Feng, Le Yan, Tao Guo, Xiaodong Li

IEEE Access, 2020

2019

Market impact analysis via deep learned architectures.

Xiaodong Li, Jingjing Cao, Zhaoqing Pan

Neural Comput. Appl., 2019

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

Xi Zou, Yuelong Zhu, Jun Feng, Jiamin Lu, Xiaodong Li

IEEE Access, 2019

Improving Order Execution Cost Estimation by Semisupervised Learning.

Xiaodong Li, Pangjing Wu, Rongrong Bo

IEEE Access, 2019

Transaction Cost Analysis via Label-Spreading Learning.

Pangjing Wu, Xiaodong Li

Proceedings of the Machine Learning and Intelligent Communications, 2019

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

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.

Abdullahi Uwaisu Muhammad, Xiaodong Li, Jun Feng

Proceedings of the Machine Learning and Intelligent Communications, 2019

Water Sound Recognition Based on Support Vector Machine.

Tingting Hang, Jun Feng, Xiaodong Li, Le Yan

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

Product Feature Extraction via Topic Model and Synonym Recognition Approach.

Jun Feng, Wen Yang, Cheng Gong, Xiaodong Li, Rongrong Bo

Proceedings of the Big Data - 7th CCF Conference, 2019

2018

Automatic Approach of Sentiment Lexicon Generation for Mobile Shopping Reviews.

Jun Feng, Cheng Gong, Xiaodong Li, Raymond Y. K. Lau

Wirel. Commun. Mob. Comput., 2018

Stock Prediction via Sentimental Transfer Learning.

Xiaodong Li, Haoran Xie, Raymond Y. K. Lau, Tak-Lam Wong, Fu Lee Wang

IEEE Access, 2018

2017

Market impact analysis via sentimental transfer learning.

Xiaodong Li, Haoran Xie, Tak-Lam Wong, Fu Lee Wang

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

2016

Empirical analysis: stock market prediction via extreme learning machine.

Xiaodong Li, Haoran Xie, Ran Wang, Yi Cai, Jingjing Cao, Feng Wang, Huaqing Min, Xiaotie Deng

Neural Comput. Appl., 2016

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

Haoran Xie, Xiaodong Li, Tao Wang, Raymond Y. K. Lau, Tak-Lam Wong, Li Chen, Fu Lee Wang, Qing Li

Inf. Process. Manag., 2016

Personalized search for social media via dominating verbal context.

Haoran Xie, Xiaodong Li, Tao Wang, Li Chen, Ke Li, Fu Lee Wang, Yi Cai, Qing Li, Huaqing Min

Neurocomputing, 2016

2015

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

Jingjing Cao, Sam Kwong, Ran Wang, Xiaodong Li, Ke Li, Xiangfei Kong

Neurocomputing, 2015

Does Summarization Help Stock Prediction? A News Impact Analysis.

Xiaodong Li, Haoran Xie, Yangqiu Song, Shanfeng Zhu, Qing Li, Fu Lee Wang

IEEE Intell. Syst., 2015

2014

Community-aware user profile enrichment in folksonomy.

Haoran Xie, Qing Li, Xudong Mao, Xiaodong Li, Yi Cai, Yanghui Rao

Neural Networks, 2014

News impact on stock price return via sentiment analysis.

Xiaodong Li, Haoran Xie, Li Chen, Jianping Wang, Xiaotie Deng

Knowl. Based Syst., 2014

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

Xiaodong Li, Xiaodi Huang, Xiaotie Deng, Shanfeng Zhu

Neurocomputing, 2014

An intelligent market making strategy in algorithmic trading.

Xiaodong Li, Xiaotie Deng, Shanfeng Zhu, Feng Wang, Haoran Xie

Frontiers Comput. Sci., 2014

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

Haoran Xie, Qing Li, Xudong Mao, Xiaodong Li, Yi Cai, Qianru Zheng

Comput. J., 2014

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

Feng Wang, Zhiyong Zhao, Xiaodong Li, Fei Yu, Hao Zhang

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

2013

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

Ting Jin, Haoran Xie, Jingsheng Lei, Qing Li, Xiaodong Li, Xudong Mao, Yanghui Rao

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

Document Summarization via Self-Present Sentence Relevance Model.

Xiaodong Li, Shanfeng Zhu, Haoran Xie, Qing Li

Proceedings of the Database Systems for Advanced Applications, 2013

2011

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

Xiaodong Li, Chao Wang, Jiawei Dong, Feng Wang, Xiaotie Deng, Shanfeng Zhu

Proceedings of the Database and Expert Systems Applications, 2011

2010

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

Xiaodong Li, Xiaotie Deng, Feng Wang, Keren Dong

Proceedings of the ICDMW 2010, 2010