Xiaodong Li

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 23

Top Topics

Transfer Learning

Impact Analysis

Personalized Search

Top Venues

Inf. Process. Manag.

Publications

Xiaodong Li, Pangjing Wu, Chenxin Zou, Qing Li
Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization. IEEE Trans. Big Data 10 (3) (2024)
Xiaodong Li, Chenxin Zou, Pangjing Wu, Qing Li
TSSRD: A Topic Sentiment Summarization Framework Based on Reaching Definition. IEEE Trans. Affect. Comput. 14 (3) (2023)
Zhaoyang Liu, Xiaodong Li, Yanping Cui
Time Series Model Interpretation via Temporal Feature Sampling. APWeb-WAIM (1) (2023)
Jiaqi Ye, Xiaodong Li, Pangjing Wu, Feng Wang
Action Pick-up in Dynamic Action Space Reinforcement Learning. CoRR (2023)
Chenxin Zou, Xiaodong Li, Pangjing Wu, Haoran Xie
M2R: From Mathematical Models to Resource Description Framework. APWeb/WAIM (2) (2022)
Yingying Wang, Xiaodong Li, Pangjing Wu, Haoran Xie
Many-to-Many Pair Trading. APWeb/WAIM (1) (2022)
Xiaodong Li, Pangjing Wu
Stock Price Prediction Incorporating Market Style Clustering. Cogn. Comput. 14 (1) (2022)
Xiaodong Li, Pangjing Wu, Chenxin Zou, Haoran Xie, Fu Lee Wang
Sentiment Lossless Summarization. Knowl. Based Syst. 227 (2021)
Yuelong Zhu, Jun Feng, Le Yan, Tao Guo, Xiaodong Li
Flood Prediction Using Rainfall-Flow Pattern in Data-Sparse Watersheds. IEEE Access 8 (2020)
Xiaodong Li, Pangjing Wu, Wenpeng Wang
Incorporating stock prices and news sentiments for stock market prediction: A case of Hong Kong. Inf. Process. Manag. 57 (5) (2020)
Abdullahi Uwaisu Muhammad, Xiaodong Li, Jun Feng
Using LSTM GRU and Hybrid Models for Streamflow Forecasting. MLICOM (2019)
Xi Zou, Yuelong Zhu, Jun Feng, Jiamin Lu, Xiaodong Li
A Novel Hierarchical Topic Model for Horizontal Topic Expansion With Observed Label Information. IEEE Access 7 (2019)
Xiaodong Li, Jingjing Cao, Zhaoqing Pan
Market impact analysis via deep learned architectures. Neural Comput. Appl. 31 (10) (2019)
Xiaodong Li, Pangjing Wu, Rongrong Bo
Improving Order Execution Cost Estimation by Semisupervised Learning. IEEE Access 7 (2019)
Abdullahi Uwaisu Muhammad, Xiaodong Li, Jun Feng
Artificial Intelligence Approaches for Urban Water Demand Forecasting: A Review. MLICOM (2019)
Pangjing Wu, Xiaodong Li
Transaction Cost Analysis via Label-Spreading Learning. MLICOM (2019)
Tingting Hang, Jun Feng, Xiaodong Li, Le Yan
Water Sound Recognition Based on Support Vector Machine. IMCOM (2019)
Xiaodong Li, Haoran Xie, Raymond Y. K. Lau, Tak-Lam Wong, Fu Lee Wang
Stock Prediction via Sentimental Transfer Learning. IEEE Access 6 (2018)
Jun Feng, Cheng Gong, Xiaodong Li, Raymond Y. K. Lau
Automatic Approach of Sentiment Lexicon Generation for Mobile Shopping Reviews. Wirel. Commun. Mob. Comput. 2018 (2018)
Xiaodong Li, Haoran Xie, Tak-Lam Wong, Fu Lee Wang
Market impact analysis via sentimental transfer learning. BigComp (2017)
Haoran Xie, Xiaodong Li, Tao Wang, Li Chen, Ke Li, Fu Lee Wang, Yi Cai, Qing Li, Huaqing Min
Personalized search for social media via dominating verbal context. Neurocomputing 172 (2016)
Haoran Xie, Xiaodong Li, Tao Wang, Raymond Y. K. Lau, Tak-Lam Wong, Li Chen, Fu Lee Wang, Qing Li
Incorporating sentiment into tag-based user profiles and resource profiles for personalized search in folksonomy. Inf. Process. Manag. 52 (1) (2016)
Xiaodong Li, Haoran Xie, Ran Wang, Yi Cai, Jingjing Cao, Feng Wang, Huaqing Min, Xiaotie Deng
Empirical analysis: stock market prediction via extreme learning machine. Neural Comput. Appl. 27 (1) (2016)
Xiaodong Li, Haoran Xie, Yangqiu Song, Shanfeng Zhu, Qing Li, Fu Lee Wang
Does Summarization Help Stock Prediction? A News Impact Analysis. IEEE Intell. Syst. 30 (3) (2015)
Jingjing Cao, Sam Kwong, Ran Wang, Xiaodong Li, Ke Li, Xiangfei Kong
Class-specific soft voting based multiple extreme learning machines ensemble. Neurocomputing 149 (2015)
Xiaodong Li, Xiaotie Deng, Shanfeng Zhu, Feng Wang, Haoran Xie
An intelligent market making strategy in algorithmic trading. Frontiers Comput. Sci. 8 (4) (2014)
Haoran Xie, Qing Li, Xudong Mao, Xiaodong Li, Yi Cai, Yanghui Rao
Community-aware user profile enrichment in folksonomy. Neural Networks 58 (2014)
Xiaodong Li, Xiaodi Huang, Xiaotie Deng, Shanfeng Zhu
Enhancing quantitative intra-day stock return prediction by integrating both market news and stock prices information. Neurocomputing 142 (2014)
Feng Wang, Zhiyong Zhao, Xiaodong Li, Fei Yu, Hao Zhang
Stock volatility prediction using multi-kernel learning based extreme learning machine. IJCNN (2014)
Xiaodong Li, Haoran Xie, Li Chen, Jianping Wang, Xiaotie Deng
News impact on stock price return via sentiment analysis. Knowl. Based Syst. 69 (2014)
Haoran Xie, Qing Li, Xudong Mao, Xiaodong Li, Yi Cai, Qianru Zheng
Mining Latent User Community for Tag-Based and Content-Based Search in Social Media. Comput. J. 57 (9) (2014)
Ting Jin, Haoran Xie, Jingsheng Lei, Qing Li, Xiaodong Li, Xudong Mao, Yanghui Rao
Finding Dominating Set from Verbal Contextual Graph for Personalized Search in Folksonomy. Web Intelligence (2013)
Xiaodong Li, Shanfeng Zhu, Haoran Xie, Qing Li
Document Summarization via Self-Present Sentence Relevance Model. DASFAA (2) (2013)
Xiaodong Li, Chao Wang, Jiawei Dong, Feng Wang, Xiaotie Deng, Shanfeng Zhu
Improving Stock Market Prediction by Integrating Both Market News and Stock Prices. DEXA (2) (2011)
Xiaodong Li, Xiaotie Deng, Feng Wang, Keren Dong
Empirical Analysis: News Impact on Stock Prices Based on News Density. ICDM Workshops (2010)