Xiaodong Li - RankMe

45 papers B 3Journal 26Unranked 16

Year	Rank	Type	Title / 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