| Stock market prediction via deep learning techniques: A survey J Zou, Q Zhao, Y Jiao, H Cao, Y Liu, Q Yan, E Abbasnejad, L Liu, JQ Shi arXiv preprint arXiv:2212.12717, 2022 | 39 | 2022 |
| Astock: A new dataset and automated stock trading based on stock-specific news analyzing model J Zou, H Cao, L Liu, Y Lin, E Abbasnejad, JQ Shi arXiv preprint arXiv:2206.06606, 2022 | 19 | 2022 |
| A Generative Approach for Comprehensive Financial Event Extraction at the Document Level J Zou, Y Liu, Y Qi, H Cao, L Liu, JQ Shi Proceedings of the Fourth ACM International Conference on AI in Finance, 323-330, 2023 | 1 | 2023 |
| Semantic Role Labeling Guided Out-of-distribution Detection J Zou, M Guo, Y Tian, Y Lin, H Cao, L Liu, E Abbasnejad, JQ Shi arXiv preprint arXiv:2305.18026, 2023 | 1 | 2023 |
| aiML at the FinNLP-2022 erai task: Combining classification and regression tasks for financial opinion mining Z Qin, J Zou, Q Luo, H Cao, Y Jiao Proceedings of the Fourth Workshop on Financial Technology and Natural …, 2022 | 1 | 2022 |
| InvariantStock: Learning Invariant Features for Mastering the Shifting Market H Cao, J Zou, Y Liu, Z Zhang, E Abbasnejad, A Hengel, JQ Shi arXiv preprint arXiv:2409.00671, 2024 | | 2024 |
| Rethinking State Disentanglement in Causal Reinforcement Learning H Cao, Z Zhang, P Cai, Y Liu, J Zou, E Abbasnejad, B Huang, M Gong, ... arXiv preprint arXiv:2408.13498, 2024 | | 2024 |
| UOA at the FinNLP-2022 ERAI Task: Leveraging the Class Label Description for Financial Opinion Mining J Zou, H Cao, Y Liu, L Liu, E Abbasnejad, JQ Shi Proceedings of the Fourth Workshop on Financial Technology and Natural …, 2022 | | 2022 |
| Identifiable State Disentanglement for Reinforcement Learning with Policy Optimality H Cao, Z Zhang, P Cai, Y Liu, E Abbasnejad, B Huang, M Gong, ... | | |
