| Detecting Accounting Frauds in Publicly Traded US Firms Using a Machine Learning Approach Y Bao, B Ke, B Li, YJ Yu, J Zhang Journal of Accounting Research, 2020 | 433 | 2020 |
| Online portfolio selection: A survey B Li, SCH Hoi ACM Computing Surveys (CSUR) 46 (3), 1-36, 2014 | 406 | 2014 |
| Moving average reversion strategy for on-line portfolio selection B Li, SCH Hoi, D Sahoo, ZY Liu Artificial Intelligence 222, 104-123, 2015 | 271* | 2015 |
| PAMR: Passive aggressive mean reversion strategy for portfolio selection B Li, P Zhao, SCH Hoi, V Gopalkrishnan Machine learning 87, 221-258, 2012 | 257 | 2012 |
| Online transfer learning P Zhao, SCH Hoi, J Wang, B Li Artificial intelligence 216, 76-102, 2014 | 204 | 2014 |
| Robust median reversion strategy for online portfolio selection D Huang, J Zhou, B Li, SCH Hoi, S Zhou IEEE Transactions on Knowledge and Data Engineering 28 (9), 2480-2493, 2016 | 170 | 2016 |
| Confidence weighted mean reversion strategy for online portfolio selection B Li, SCH Hoi, P Zhao, V Gopalkrishnan ACM Transactions on Knowledge Discovery from Data (TKDD) 7 (1), 1-38, 2013 | 161 | 2013 |
| Corn: Correlation-driven nonparametric learning approach for portfolio selection B Li, SCH Hoi, V Gopalkrishnan ACM Transactions on Intelligent Systems and Technology (TIST) 2 (3), 1-29, 2011 | 132 | 2011 |
| Cost-sensitive portfolio selection via deep reinforcement learning Y Zhang, P Zhao, Q Wu, B Li, J Huang, M Tan IEEE Transactions on Knowledge and Data Engineering 34 (1), 236-248, 2020 | 124 | 2020 |
| Large scale online multiple kernel regression with application to time-series prediction D Sahoo, SCH Hoi, B Li ACM Transactions on Knowledge Discovery from Data (TKDD) 13 (1), 1-33, 2019 | 101* | 2019 |
| Transaction Costs Optimization for Online Portfolio Selection B Li, J Wang, D Huang, S Hoi Quantitative Finance 18 (8), 1411-1424, 2018 | 86 | 2018 |
| OLPS: A Toolbox for On-Line Portfolio Selection B Li, D Sahoo, SCH Hoi Journal of Machine Learning Research 17, 1-5, 2016 | 63 | 2016 |
| Selecting mutual funds from the stocks they hold: A machine learning approach B Li, AG Rossi Available at SSRN 3737667, 2020 | 59 | 2020 |
| Online portfolio selection: principles and algorithms B Li, SCH Hoi Crc Press, 2015 | 55 | 2015 |
| Multiple mobile sink‐based routing algorithm for data dissemination in wireless sensor networks J Wang, L Zuo, J Shen, B Li, S Lee Concurrency and computation: practice and experience 27 (10), 2656-2667, 2015 | 43 | 2015 |
| Do Trend Following Strategies Work in Chinese Futures Markets? B Li, D Zhang, Y Zhou Journal of Futures Markets 37 (12), 1226 - 1254, 2017 | 30 | 2017 |
| Combination Forecasting Reversion Strategy for Online Portfolio Selection D Huang, S Yu, B Li, S Hoi, S Zhou. ACM Transactions on Intelligent Systems and Technology 9 (5), 58:1-22, 2018 | 29 | 2018 |
| Sparse passive-aggressive learning for bounded online kernel methods J Lu, D Sahoo, P Zhao, SCH Hoi ACM Transactions on Intelligent Systems and Technology (TIST) 9 (4), 1-27, 2018 | 22 | 2018 |
| Semi-universal portfolios with transaction costs D Huang, Y Zhu, B Li, S Zhou, SCH Hoi AAAI, 2015 | 21 | 2015 |
| An advanced discrete‐time RNN for handling discrete time‐varying matrix inversion: Form model design to disturbance‐suppression analysis Y Shi, Q Shi, X Cao, B Li, X Sun, DK Gerontitis CAAI Transactions on Intelligence Technology 8 (3), 607-621, 2023 | 15 | 2023 |