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ORCIDXiaodong Li 0007
Person information
- affiliation: Hohai University, School of Computer and Information, Nanjing, China
- affiliation (PhD 2014): City University of Hong Kong, Department of Computer Science, Hong Kong
Other persons with the same name
- Xiaodong Li (aka: Xiao-Dong Li) — disambiguation page
- Xiaodong Li 0001
![[0000-0003-0346-1526]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-0346-1526")
— RMIT University, Evolutionary Computation and Machine Learning Research Group, Melbourne, VIC, Australia (and 1 more) - Xiaodong Li 0002 — Chinese Academy of Science, Institute of Acoustics, Beijing, China
- Xiaodong Li 0003 — Linyi University, School of Logistics, China
- Xiaodong Li 0004 — Dalian University of Technology, MOE, Key Laboratory for Precision and Non-Traditional Machining Technology, China
- Xiaodong Li 0005 — University of Pennsylvania, Department of Wharton Statistics, Philadelphia, PA, USA (and 1 more)
- Xiaodong Li 0006 — University of Nottingham, School of Geography, UK (and 1 more)
- Xiaodong Li 0008 — Macau University of Science and Technology, Faculty of Information Technology, Macau (and 1 more)
- Xiaodong Li 0009 — University of Hong Kong, Department of Computer Science, Hong Kong
- Xiaodong Li 0010 — University of Hong Kong, Department of Orthopaedics and Traumatology, Hong Kong (and 1 more)
- Xiaodong Li 0011 (aka: Xiao-Dong Li 0011) — Sun Yat-sen University, School of Intelligent Systems Engineering, Guangzhou, China (and 1 more)
- Xiaodong Li 0012 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
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2020 – today
- 2025
[j23]Ju Chen, Jun Feng, Shenyu Zhang, Xiaodong Li, Hamza Djigal:
Robust annotation aggregation in crowdsourcing via enhanced worker ability modeling. Inf. Process. Manag. 62(1): 103914 (2025)- 2024
- [j22]Xiaodong Li, Pangjing Wu, Chenxin Zou, Qing Li:
Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization. IEEE Trans. Big Data 10(3): 288-300 (2024) - [c16]Yan Zhou, Xiaodong Li:
Event Time Prediction via Survival Analysis Based Multivariate Transformer Point Process. DASFAA (1) 2024: 20-36 - 2023
- [j21]Yan Zhou, Xiaodong Li:
Sentimental Contrastive Learning for event representation. Nat. Lang. Process. J. 4: 100031 (2023) - [j20]Xiaodong Li, Chenxin Zou, Pangjing Wu, Qing Li:
TSSRD: A Topic Sentiment Summarization Framework Based on Reaching Definition. IEEE Trans. Affect. Comput. 14(3): 1716-1730 (2023) - [c15]Zhaoyang Liu, Xiaodong Li, Yanping Cui:
Time Series Model Interpretation via Temporal Feature Sampling. APWeb-WAIM (1) 2023: 346-360 - [i2]Jiaqi Ye, Xiaodong Li, Pangjing Wu, Feng Wang:
Action Pick-up in Dynamic Action Space Reinforcement Learning. CoRR abs/2304.00873 (2023) - 2022
- [j19]Xiaodong Li, Pangjing Wu:
Stock Price Prediction Incorporating Market Style Clustering. Cogn. Comput. 14(1): 149-166 (2022) - [c14]Chenxin Zou, Xiaodong Li, Pangjing Wu, Haoran Xie:
M2R: From Mathematical Models to Resource Description Framework. APWeb/WAIM (2) 2022: 225-238 - [c13]Yingying Wang, Xiaodong Li, Pangjing Wu, Haoran Xie:
Many-to-Many Pair Trading. APWeb/WAIM (1) 2022: 399-407 - [c12]Jiaqi Ye, Xiaodong Li, Yingying Wang:
A Multi-Agent Deep Reinforcement Learning Framework for VWAP Strategy Optimization. IJCNN 2022: 1-8 - [i1]Xiaodong Li, Pangjing Wu, Chenxin Zou, Qing Li:
Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization. CoRR abs/2212.14670 (2022) - 2021
- [j18]Xiaodong Li, Pangjing Wu, Chenxin Zou, Haoran Xie, Fu Lee Wang:
Sentiment Lossless Summarization. Knowl. Based Syst. 227: 107170 (2021) - 2020
- [j17]Yuelong Zhu, Jun Feng, Le Yan, Tao Guo, Xiaodong Li:
Flood Prediction Using Rainfall-Flow Pattern in Data-Sparse Watersheds. IEEE Access 8: 39713-39724 (2020) - [j16]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): 102212 (2020)
2010 – 2019
- 2019
- [j15]Xiaodong Li, Pangjing Wu, Rongrong Bo:
Improving Order Execution Cost Estimation by Semisupervised Learning. IEEE Access 7: 178342-178356 (2019) - [j14]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: 184242-184253 (2019) - [j13]Xiaodong Li, Jingjing Cao, Zhaoqing Pan:
Market impact analysis via deep learned architectures. Neural Comput. Appl. 31(10): 5989-6000 (2019) - [c11]Jun Feng, Wen Yang, Cheng Gong, Xiaodong Li, Rongrong Bo:
Product Feature Extraction via Topic Model and Synonym Recognition Approach. Big Data (CCF) 2019: 73-88 - [c10]Tingting Hang, Jun Feng, Xiaodong Li, Le Yan:
Water Sound Recognition Based on Support Vector Machine. IMCOM 2019: 986-995 - [c9]Pangjing Wu, Xiaodong Li:
Transaction Cost Analysis via Label-Spreading Learning. MLICOM 2019: 444-454 - [c8]Abdullahi Uwaisu Muhammad, Xiaodong Li, Jun Feng:
Using LSTM GRU and Hybrid Models for Streamflow Forecasting. MLICOM 2019: 510-524 - [c7]Abdullahi Uwaisu Muhammad, Xiaodong Li, Jun Feng:
Artificial Intelligence Approaches for Urban Water Demand Forecasting: A Review. MLICOM 2019: 595-622 - 2018
- [j12]Xiaodong Li, Haoran Xie, Raymond Y. K. Lau, Tak-Lam Wong, Fu Lee Wang:
Stock Prediction via Sentimental Transfer Learning. IEEE Access 6: 73110-73118 (2018) - [j11]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: 9839432:1-9839432:13 (2018) - 2017
- [c6]Xiaodong Li, Haoran Xie, Tak-Lam Wong, Fu Lee Wang:
Market impact analysis via sentimental transfer learning. BigComp 2017: 451-452 - 2016
- [j10]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: 27-37 (2016) - [j9]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): 61-72 (2016) - [j8]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): 67-78 (2016) - 2015
- [j7]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): 26-34 (2015) - [j6]Jingjing Cao, Sam Kwong, Ran Wang, Xiaodong Li, Ke Li, Xiangfei Kong:
Class-specific soft voting based multiple extreme learning machines ensemble. Neurocomputing 149: 275-284 (2015) - 2014
- [j5]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): 1415-1430 (2014) - [j4]Xiaodong Li, Xiaotie Deng, Shanfeng Zhu, Feng Wang, Haoran Xie:
An intelligent market making strategy in algorithmic trading. Frontiers Comput. Sci. 8(4): 596-608 (2014) - [j3]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: 228-238 (2014) - [j2]Xiaodong Li, Haoran Xie, Li Chen, Jianping Wang, Xiaotie Deng:
News impact on stock price return via sentiment analysis. Knowl. Based Syst. 69: 14-23 (2014) - [j1]Haoran Xie, Qing Li, Xudong Mao, Xiaodong Li, Yi Cai, Yanghui Rao:
Community-aware user profile enrichment in folksonomy. Neural Networks 58: 111-121 (2014) - [c5]Feng Wang, Zhiyong Zhao, Xiaodong Li, Fei Yu, Hao Zhang:
Stock volatility prediction using multi-kernel learning based extreme learning machine. IJCNN 2014: 3078-3085 - 2013
- [c4]Xiaodong Li, Shanfeng Zhu, Haoran Xie, Qing Li:
Document Summarization via Self-Present Sentence Relevance Model. DASFAA (2) 2013: 309-323 - [c3]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: 367-372 - 2011
- [c2]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: 279-293 - 2010
- [c1]Xiaodong Li, Xiaotie Deng, Feng Wang, Keren Dong:
Empirical Analysis: News Impact on Stock Prices Based on News Density. ICDM Workshops 2010: 585-592
Coauthor Index
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