| Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy H Yang, XY Liu, S Zhong, A Walid ICAIF 2020: ACM International Conference on AI in Finance., 2020 | 212 | 2020 |
| Practical Deep Reinforcement Learning Approach for Stock Trading AW Zhuoran Xiong, Xiao-Yang Liu, Shan Zhong, Hongyang Yang NeurIPS Workshop on Challenges and Opportunities for AI in Financial …, 2018 | 192* | 2018 |
| FinRL: A deep reinforcement learning library for automated stock trading in quantitative finance XY Liu, H Yang, Q Chen, R Zhang, L Yang, B Xiao, CD Wang arXiv preprint arXiv:2011.09607, 2020 | 121 | 2020 |
| Fingpt: Open-source financial large language models H Yang, XY Liu, CD Wang arXiv preprint arXiv:2306.06031, 2023 | 104 | 2023 |
| FinRL: Deep reinforcement learning framework to automate trading in quantitative finance XY Liu, H Yang, J Gao, CD Wang Proceedings of the second ACM international conference on AI in finance, 1-9, 2021 | 73 | 2021 |
| DP-LSTM: Differential privacy-inspired LSTM for stock prediction using financial news X Li, Y Li, H Yang, L Yang, XY Liu arXiv preprint arXiv:1912.10806, 2019 | 61 | 2019 |
| A Practical Machine Learning Approach for Dynamic Stock Recommendation H Yang, XY Liu, Q Wu IEEE TrustCom 2018, 2018 | 41 | 2018 |
| FinRL-Meta: Market environments and benchmarks for data-driven financial reinforcement learning XY Liu, Z Xia, J Rui, J Gao, H Yang, M Zhu, C Wang, Z Wang, J Guo Advances in Neural Information Processing Systems 35, 1835-1849, 2022 | 33 | 2022 |
| Instruct-fingpt: Financial sentiment analysis by instruction tuning of general-purpose large language models B Zhang, H Yang, XY Liu arXiv preprint arXiv:2306.12659, 2023 | 30 | 2023 |
| Fingpt: Democratizing internet-scale data for financial large language models XY Liu, G Wang, D Zha arXiv preprint arXiv:2307.10485, 2023 | 25 | 2023 |
| Enhancing financial sentiment analysis via retrieval augmented large language models B Zhang, H Yang, T Zhou, M Ali Babar, XY Liu Proceedings of the Fourth ACM International Conference on AI in Finance, 349-356, 2023 | 19 | 2023 |
| FinRL-meta: A universe of near-real market environments for data-driven deep reinforcement learning in quantitative finance XY Liu, J Rui, J Gao, L Yang, H Yang, Z Wang, CD Wang, J Guo arXiv preprint arXiv:2112.06753, 2021 | 12 | 2021 |
| Fingpt: Instruction tuning benchmark for open-source large language models in financial datasets N Wang, H Yang, CD Wang arXiv preprint arXiv:2310.04793, 2023 | 11 | 2023 |
| Practical deep reinforcement learning approach for stock trading. arXiv 2018 Z Xiong, XY Liu, S Zhong, H Yang, A Walid arXiv preprint arXiv:1811.07522, 0 | 9 | |
| Practical machine learning approach to capture the scholar data driven alpha in AI industry Y Fang, XY Liu, H Yang 2019 IEEE International Conference on Big Data (Big Data), 2230-2239, 2019 | 8 | 2019 |
| FinRL-Meta: Data-driven deep reinforcementlearning in quantitative finance XY Liu, J Rui, J Gao, L Yang, H Yang, Z Wang, CD Wang, G Jian Data-Centric AI Workshop, NeurIPS, 2021 | 5 | 2021 |
| Dynamic datasets and market environments for financial reinforcement learning XY Liu, Z Xia, H Yang, J Gao, D Zha, M Zhu, CD Wang, Z Wang, J Guo Machine Learning, 1-45, 2024 | 4 | 2024 |
| Practical Machine Learning Approach for Stock Trading Strategies using Alternative Dataset Y Fang, XY Liu, H Yang Available at SSRN 3501239, 2019 | | 2019 |
Anwar Walid (Elwalid)Bell LabsVerified email at research.bell-labs.com
