| The effect of news and public mood on stock movements Q Li, TJ Wang, P Li, L Liu, Q Gong, Y Chen Information Sciences 278, 826-840, 2014 | 339 | 2014 |
| Clustering approach for hybrid recommender system Q Li, BM Kim Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003 …, 2003 | 253 | 2003 |
| A new approach for combining content-based and collaborative filters BM Kim, Q Li, CS Park, SG Kim, JY Kim Journal of Intelligent Information Systems 27, 79-91, 2006 | 206 | 2006 |
| User comments for news recommendation in forum-based social media Q Li, J Wang, YP Chen, Z Lin Information Sciences 180 (24), 4929-4939, 2010 | 200 | 2010 |
| A multimodal event-driven LSTM model for stock prediction using online news Q Li, J Tan, J Wang, H Chen IEEE Transactions on Knowledge and Data Engineering 33 (10), 3323-3337, 2020 | 172 | 2020 |
| A probabilistic music recommender considering user opinions and audio features Q Li, SH Myaeng, BM Kim Information processing & management 43 (2), 473-487, 2007 | 142 | 2007 |
| An approach for combining content-based and collaborative filters Q Li, BM Kim Proceedings of the sixth international workshop on Information retrieval …, 2003 | 141 | 2003 |
| Web media and stock markets: A survey and future directions from a big data perspective Q Li, Y Chen, J Wang, Y Chen, H Chen IEEE Transactions on Knowledge and Data Engineering 30 (2), 381-399, 2017 | 125 | 2017 |
| A social-media-based approach to predicting stock comovement L Liu, J Wu, P Li, Q Li Expert Systems with Applications 42 (8), 3893-3901, 2015 | 109 | 2015 |
| A tensor-based information framework for predicting the stock market Q Li, Y Chen, LL Jiang, P Li, H Chen ACM Transactions on Information Systems (TOIS) 34 (2), 1-30, 2016 | 106 | 2016 |
| Media-aware quantitative trading based on public Web information Q Li, T Wang, Q Gong, Y Chen, Z Lin, S Song Decision support systems 61, 93-105, 2014 | 94 | 2014 |
| Modeling the momentum spillover effect for stock prediction via attribute-driven graph attention networks R Cheng, Q Li Proceedings of the AAAI Conference on artificial intelligence 35 (1), 55-62, 2021 | 89 | 2021 |
| Recent advancements on the development of microgrids Q Li, Z Xu, L Yang Journal of modern power systems and clean energy 2 (3), 206-211, 2014 | 72 | 2014 |
| Tensor-based learning for predicting stock movements Q Li, LL Jiang, P Li, H Chen Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 56 | 2015 |
| Constructing user profiles for collaborative recommender system Q Li, BM Kim Advanced Web Technologies and Applications: 6th Asia-Pacific Web Conference …, 2004 | 56 | 2004 |
| A music recommender based on audio features Q Li, BM Kim, DH Guan, D Oh Proceedings of the 27th annual international ACM SIGIR conference on …, 2004 | 54 | 2004 |
| Connecting embeddings based on multiplex relational graph attention networks for knowledge graph entity typing Y Zhao, H Zhou, A Zhang, R Xie, Q Li, F Zhuang IEEE Transactions on Knowledge and Data Engineering 35 (5), 4608-4620, 2022 | 44 | 2022 |
| Personalized text snippet extraction using statistical language models Q Li, YP Chen Pattern Recognition 43 (1), 378-386, 2010 | 44 | 2010 |
| Probabilistic model estimation for collaborative filtering based on items attributes BM Kim, Q Li IEEE/WIC/ACM International Conference on Web Intelligence (WI'04), 185-191, 2004 | 44 | 2004 |
| Stock movement prediction based on bi-typed hybrid-relational market knowledge graph via dual attention networks Y Zhao, H Du, Y Liu, S Wei, X Chen, F Zhuang, Q Li, G Kou IEEE Transactions on Knowledge and Data Engineering 35 (8), 8559-8571, 2022 | 39 | 2022 |
Yuanzhu Chen (陈远筑，陳遠築)Professor, School of Computing, Queen's UniversityVerified email at queensu.ca