Xiaodong Li

45 papers B 3Journal 26Unranked 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Survey on recent advances in reinforcement learning for intelligent investment decision-making optimization.
Expert Syst. Appl.
Feng Wang, Shicheng Li, Shanshui Niu, Haoran Yang, Xiaodong Li, Xiaotie Deng
2025 — conf
Knowledge Graph Quality Evaluation Under Incomplete Information.
ADMA (4)
Xiaodong Li, Yan Zhou, Kedong Zhu, Feng Li, Huibiao Yang, Yong Ren
2025 — conf
KungfuDB: A Low Latency In-Memory Time Series Database for Quantitative Trading Systems.
DASFAA (6)
Xiaodong Li, Yan Zhou, Wenkai Liu, Yizhi Zhang, Keren Dong
2025 J jnl
Robust annotation aggregation in crowdsourcing via enhanced worker ability modeling.
Inf. Process. Manag.
Ju Chen, Jun Feng, Shenyu Zhang, Xiaodong Li, Hamza Djigal
2025 — conf
Spatio-Temporal Data Generation for Power Grid Scenarios Based on Conditional Diffusion Models.
ADMA (4)
Mingtao You, Xiaodong Li, Yan Zhou, Feng Li, Kedong Zhu, Huibiao Yang, Yong Ren
2024 — conf
Event Time Prediction via Survival Analysis Based Multivariate Transformer Point Process.
DASFAA (1)
Yan Zhou, Xiaodong Li
2024 J jnl
Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization.
IEEE Trans. Big Data
Xiaodong Li, Pangjing Wu, Chenxin Zou, Qing Li
2023 J jnl
Action Pick-up in Dynamic Action Space Reinforcement Learning.
CoRR
Jiaqi Ye, Xiaodong Li, Pangjing Wu, Feng Wang
2023 J jnl
Sentimental Contrastive Learning for event representation.
Nat. Lang. Process. J.
Yan Zhou, Xiaodong Li
2023 J jnl
TSSRD: A Topic Sentiment Summarization Framework Based on Reaching Definition.
IEEE Trans. Affect. Comput.
Xiaodong Li, Chenxin Zou, Pangjing Wu, Qing Li
2023 — conf
Time Series Model Interpretation via Temporal Feature Sampling.
APWeb-WAIM (1)
Zhaoyang Liu, Xiaodong Li, Yanping Cui
2022 B conf
A Multi-Agent Deep Reinforcement Learning Framework for VWAP Strategy Optimization.
IJCNN
Jiaqi Ye, Xiaodong Li, Yingying Wang
2022 J jnl
Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization.
CoRR
Xiaodong Li, Pangjing Wu, Chenxin Zou, Qing Li
2022 — conf
M2R: From Mathematical Models to Resource Description Framework.
APWeb/WAIM (2)
Chenxin Zou, Xiaodong Li, Pangjing Wu, Haoran Xie
2022 — conf
Many-to-Many Pair Trading.
APWeb/WAIM (1)
Yingying Wang, Xiaodong Li, Pangjing Wu, Haoran Xie
2022 J jnl
Stock Price Prediction Incorporating Market Style Clustering.
Cogn. Comput.
Xiaodong Li, Pangjing Wu
2021 J jnl
Sentiment Lossless Summarization.
Knowl. Based Syst.
Xiaodong Li, Pangjing Wu, Chenxin Zou, Haoran Xie, Fu Lee Wang
2020 J jnl
Flood Prediction Using Rainfall-Flow Pattern in Data-Sparse Watersheds.
IEEE Access
Yuelong Zhu, Jun Feng, Le Yan, Tao Guo, Xiaodong Li
2020 J jnl
Incorporating stock prices and news sentiments for stock market prediction: A case of Hong Kong.
Inf. Process. Manag.
Xiaodong Li, Pangjing Wu, Wenpeng Wang
2019 J jnl
A Novel Hierarchical Topic Model for Horizontal Topic Expansion With Observed Label Information.
IEEE Access
Xi Zou, Yuelong Zhu, Jun Feng, Jiamin Lu, Xiaodong Li
2019 — conf
Artificial Intelligence Approaches for Urban Water Demand Forecasting: A Review.
MLICOM
Abdullahi Uwaisu Muhammad, Xiaodong Li, Jun Feng
2019 J jnl
Improving Order Execution Cost Estimation by Semisupervised Learning.
IEEE Access
Xiaodong Li, Pangjing Wu, Rongrong Bo
2019 J jnl
Market impact analysis via deep learned architectures.
Neural Comput. Appl.
Xiaodong Li, Jingjing Cao, Zhaoqing Pan
2019 B conf
Product Feature Extraction via Topic Model and Synonym Recognition Approach.
Big Data (CCF)
Jun Feng, Wen Yang, Cheng Gong, Xiaodong Li, Rongrong Bo
2019 — conf
Transaction Cost Analysis via Label-Spreading Learning.
MLICOM
Pangjing Wu, Xiaodong Li
2019 — conf
Using LSTM GRU and Hybrid Models for Streamflow Forecasting.
MLICOM
Abdullahi Uwaisu Muhammad, Xiaodong Li, Jun Feng
2019 — conf
Water Sound Recognition Based on Support Vector Machine.
IMCOM
Tingting Hang, Jun Feng, Xiaodong Li, Le Yan
2018 J jnl
Automatic Approach of Sentiment Lexicon Generation for Mobile Shopping Reviews.
Wirel. Commun. Mob. Comput.
Jun Feng, Cheng Gong, Xiaodong Li, Raymond Y. K. Lau
2018 J jnl
Stock Prediction via Sentimental Transfer Learning.
IEEE Access
Xiaodong Li, Haoran Xie, Raymond Y. K. Lau, Tak-Lam Wong, Fu Lee Wang
2017 — conf
Market impact analysis via sentimental transfer learning.
BigComp
Xiaodong Li, Haoran Xie, Tak-Lam Wong, Fu Lee Wang
2016 J jnl
Empirical analysis: stock market prediction via extreme learning machine.
Neural Comput. Appl.
Xiaodong Li, Haoran Xie, Ran Wang, Yi Cai, Jingjing Cao, Feng Wang, Huaqing Min, Xiaotie Deng
2016 J jnl
Incorporating sentiment into tag-based user profiles and resource profiles for personalized search in folksonomy.
Inf. Process. Manag.
Haoran Xie, Xiaodong Li, Tao Wang, Raymond Y. K. Lau, Tak-Lam Wong, Li Chen, Fu Lee Wang, Qing Li
2016 J jnl
Personalized search for social media via dominating verbal context.
Neurocomputing
Haoran Xie, Xiaodong Li, Tao Wang, Li Chen, Ke Li, Fu Lee Wang, Yi Cai, Qing Li, Huaqing Min
2015 J jnl
Class-specific soft voting based multiple extreme learning machines ensemble.
Neurocomputing
Jingjing Cao, Sam Kwong, Ran Wang, Xiaodong Li, Ke Li, Xiangfei Kong
2015 J jnl
Does Summarization Help Stock Prediction? A News Impact Analysis.
IEEE Intell. Syst.
Xiaodong Li, Haoran Xie, Yangqiu Song, Shanfeng Zhu, Qing Li, Fu Lee Wang
2014 J jnl
An intelligent market making strategy in algorithmic trading.
Frontiers Comput. Sci.
Xiaodong Li, Xiaotie Deng, Shanfeng Zhu, Feng Wang, Haoran Xie
2014 J jnl
Community-aware user profile enrichment in folksonomy.
Neural Networks
Haoran Xie, Qing Li, Xudong Mao, Xiaodong Li, Yi Cai, Yanghui Rao
2014 J jnl
Enhancing quantitative intra-day stock return prediction by integrating both market news and stock prices information.
Neurocomputing
Xiaodong Li, Xiaodi Huang, Xiaotie Deng, Shanfeng Zhu
2014 J jnl
Mining Latent User Community for Tag-Based and Content-Based Search in Social Media.
Comput. J.
Haoran Xie, Qing Li, Xudong Mao, Xiaodong Li, Yi Cai, Qianru Zheng
2014 J jnl
News impact on stock price return via sentiment analysis.
Knowl. Based Syst.
Xiaodong Li, Haoran Xie, Li Chen, Jianping Wang, Xiaotie Deng
2014 B conf
Stock volatility prediction using multi-kernel learning based extreme learning machine.
IJCNN
Feng Wang, Zhiyong Zhao, Xiaodong Li, Fei Yu, Hao Zhang
2013 — conf
Document Summarization via Self-Present Sentence Relevance Model.
DASFAA (2)
Xiaodong Li, Shanfeng Zhu, Haoran Xie, Qing Li
2013 — conf
Finding Dominating Set from Verbal Contextual Graph for Personalized Search in Folksonomy.
Web Intelligence
Ting Jin, Haoran Xie, Jingsheng Lei, Qing Li, Xiaodong Li, Xudong Mao, Yanghui Rao
2011 — conf
Improving Stock Market Prediction by Integrating Both Market News and Stock Prices.
DEXA (2)
Xiaodong Li, Chao Wang, Jiawei Dong, Feng Wang, Xiaotie Deng, Shanfeng Zhu
2010 — conf
Empirical Analysis: News Impact on Stock Prices Based on News Density.
ICDM Workshops
Xiaodong Li, Xiaotie Deng, Feng Wang, Keren Dong