Empirical Analysis: News Impact on Stock Prices Based on News Density. - Xiaodong Li 007; Xiaotie Deng; Feng Wang 048; Keren Dong (ICDM Workshops, 2010)

Improving Stock Market Prediction by Integrating Both Market News and Stock Prices. - Xiaodong Li 007; Chao Wang; Jiawei Dong; Feng Wang 048; Xiaotie Deng; Shanfeng Zhu (DEXA (2), 2011)

Document Summarization via Self-Present Sentence Relevance Model. - Xiaodong Li 007; Shanfeng Zhu; Haoran Xie 001; Qing Li 001 (DASFAA (2), 2013)

Finding Dominating Set from Verbal Contextual Graph for Personalized Search in Folksonomy. - Ting Jin; Haoran Xie 001; Jingsheng Lei; Qing Li 001; Xiaodong Li 007; Xudong Mao; Yanghui Rao (Web Intelligence, 2013)

Stock volatility prediction using multi-kernel learning based extreme learning machine. - Feng Wang 048; Zhiyong Zhao; Xiaodong Li 007; Fei Yu 004; Hao Zhang (IJCNN, 2014)

Mining Latent User Community for Tag-Based and Content-Based Search in Social Media. - Haoran Xie 001; Qing Li 001; Xudong Mao; Xiaodong Li 007; Yi Cai 001; Qianru Zheng (Comput. J., 2014)

An intelligent market making strategy in algorithmic trading. - Xiaodong Li 007; Xiaotie Deng; Shanfeng Zhu; Feng Wang 048; Haoran Xie 001 (Frontiers Comput. Sci., 2014)

Enhancing quantitative intra-day stock return prediction by integrating both market news and stock prices information. - Xiaodong Li 007; Xiaodi Huang; Xiaotie Deng; Shanfeng Zhu (Neurocomputing, 2014)

News impact on stock price return via sentiment analysis. - Xiaodong Li 007; Haoran Xie 001; Li Chen 009; Jianping Wang 001; Xiaotie Deng (Knowl. Based Syst., 2014)

Community-aware user profile enrichment in folksonomy. - Haoran Xie 001; Qing Li 001; Xudong Mao; Xiaodong Li 007; Yi Cai 001; Yanghui Rao (Neural Networks, 2014)

Does Summarization Help Stock Prediction? A News Impact Analysis. - Xiaodong Li 007; Haoran Xie 001; Yangqiu Song; Shanfeng Zhu; Qing Li 001; Fu Lee Wang (IEEE Intell. Syst., 2015)

Class-specific soft voting based multiple extreme learning machines ensemble. - Jingjing Cao; Sam Kwong; Ran Wang 001; Xiaodong Li 007; Ke Li 001; Xiangfei Kong (Neurocomputing, 2015)

Personalized search for social media via dominating verbal context. - Haoran Xie 001; Xiaodong Li 007; Tao Wang 036; Li Chen 009; Ke Li 001; Fu Lee Wang; Yi Cai 001; Qing Li 001; Huaqing Min (Neurocomputing, 2016)

Incorporating sentiment into tag-based user profiles and resource profiles for personalized search in folksonomy. - Haoran Xie 001; Xiaodong Li 007; Tao Wang 036; Raymond Y. K. Lau; Tak-Lam Wong; Li Chen 009; Fu Lee Wang; Qing Li 001 (Inf. Process. Manag., 2016)

Empirical analysis: stock market prediction via extreme learning machine. - Xiaodong Li 007; Haoran Xie 001; Ran Wang 001; Yi Cai 001; Jingjing Cao; Feng Wang 048; Huaqing Min; Xiaotie Deng (Neural Comput. Appl., 2016)

Market impact analysis via sentimental transfer learning. - Xiaodong Li 007; Haoran Xie 001; Tak-Lam Wong; Fu Lee Wang (BigComp, 2017)

Stock Prediction via Sentimental Transfer Learning. - Xiaodong Li 007; Haoran Xie 001; Raymond Y. K. Lau; Tak-Lam Wong; Fu Lee Wang (IEEE Access, 2018)

Automatic Approach of Sentiment Lexicon Generation for Mobile Shopping Reviews. - Jun Feng 001; Cheng Gong; Xiaodong Li 007; Raymond Y. K. Lau (Wirel. Commun. Mob. Comput., 2018)

Product Feature Extraction via Topic Model and Synonym Recognition Approach. - Jun Feng 001; Wen Yang; Cheng Gong; Xiaodong Li 007; Rongrong Bo (Big Data (CCF), 2019)

Water Sound Recognition Based on Support Vector Machine. - Tingting Hang; Jun Feng 001; Xiaodong Li 007; Le Yan (IMCOM, 2019)

Using LSTM GRU and Hybrid Models for Streamflow Forecasting. - Abdullahi Uwaisu Muhammad; Xiaodong Li 007; Jun Feng 001 (MLICOM, 2019)

Artificial Intelligence Approaches for Urban Water Demand Forecasting: A Review. - Abdullahi Uwaisu Muhammad; Xiaodong Li 007; Jun Feng 001 (MLICOM, 2019)

Transaction Cost Analysis via Label-Spreading Learning. - Pangjing Wu; Xiaodong Li 007 (MLICOM, 2019)

Improving Order Execution Cost Estimation by Semisupervised Learning. - Xiaodong Li 007; Pangjing Wu; Rongrong Bo (IEEE Access, 2019)

A Novel Hierarchical Topic Model for Horizontal Topic Expansion With Observed Label Information. - Xi Zou; Yuelong Zhu; Jun Feng 001; Jiamin Lu; Xiaodong Li 007 (IEEE Access, 2019)

Market impact analysis via deep learned architectures. - Xiaodong Li 007; Jingjing Cao; Zhaoqing Pan (Neural Comput. Appl., 2019)

Flood Prediction Using Rainfall-Flow Pattern in Data-Sparse Watersheds. - Yuelong Zhu; Jun Feng 001; Le Yan; Tao Guo; Xiaodong Li 007 (IEEE Access, 2020)

Incorporating stock prices and news sentiments for stock market prediction: A case of Hong Kong. - Xiaodong Li 007; Pangjing Wu; Wenpeng Wang (Inf. Process. Manag., 2020)

Sentiment Lossless Summarization. - Xiaodong Li 007; Pangjing Wu; Chenxin Zou; Haoran Xie 001; Fu Lee Wang (Knowl. Based Syst., 2021)

Many-to-Many Pair Trading. - Yingying Wang; Xiaodong Li 007; Pangjing Wu; Haoran Xie 001 (APWeb/WAIM (1), 2022)

M2R: From Mathematical Models to Resource Description Framework. - Chenxin Zou; Xiaodong Li 007; Pangjing Wu; Haoran Xie 001 (APWeb/WAIM (2), 2022)

A Multi-Agent Deep Reinforcement Learning Framework for VWAP Strategy Optimization. - Jiaqi Ye; Xiaodong Li 007; Yingying Wang (IJCNN, 2022)

Stock Price Prediction Incorporating Market Style Clustering. - Xiaodong Li 007; Pangjing Wu (Cogn. Comput., 2022)

Time Series Model Interpretation via Temporal Feature Sampling. - Zhaoyang Liu; Xiaodong Li 007; Yanping Cui (APWeb-WAIM (1), 2023)

Action Pick-up in Dynamic Action Space Reinforcement Learning. - Jiaqi Ye; Xiaodong Li 007; Pangjing Wu; Feng Wang 048 (CoRR, 2023)

Sentimental Contrastive Learning for event representation. - Yan Zhou 010; Xiaodong Li 007 (Nat. Lang. Process. J., 2023)

TSSRD: A Topic Sentiment Summarization Framework Based on Reaching Definition. - Xiaodong Li 007; Chenxin Zou; Pangjing Wu; Qing Li 001 (IEEE Trans. Affect. Comput., 2023)

Event Time Prediction via Survival Analysis Based Multivariate Transformer Point Process. - Yan Zhou 010; Xiaodong Li 007 (DASFAA (1), 2024)

Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization. - Xiaodong Li 007; Pangjing Wu; Chenxin Zou; Qing Li 001 (IEEE Trans. Big Data, 2024)

A Survey on recent advances in reinforcement learning for intelligent investment decision-making optimization. - Feng Wang 048; Shicheng Li; Shanshui Niu; Haoran Yang; Xiaodong Li 007; Xiaotie Deng (Expert Syst. Appl., 2025)

Robust annotation aggregation in crowdsourcing via enhanced worker ability modeling. - Ju Chen; Jun Feng 001; Shenyu Zhang; Xiaodong Li 007; Hamza Djigal (Inf. Process. Manag., 2025)