| Deep learning for event-driven stock prediction X Ding, Y Zhang, T Liu, J Duan Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015 | 1009 | 2015 |
| Using structured events to predict stock price movement: An empirical investigation X Ding, Y Zhang, T Liu, J Duan Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014 | 333 | 2014 |
| Constructing Narrative Event Evolutionary Graph for Script Event Prediction Z Li, X Ding, T Liu arXiv preprint arXiv:1805.05081, 2018 | 218 | 2018 |
| Knowledge-driven event embedding for stock prediction X Ding, Y Zhang, T Liu, J Duan Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 146 | 2016 |
| Mining user consumption intention from social media using domain adaptive convolutional neural network X Ding, T Liu, J Duan, JY Nie Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015 | 130 | 2015 |
| Predicting movie Box-office revenues by exploiting large-scale social media content T Liu, X Ding, Y Chen, H Chen, M Guo Multimedia Tools and Applications 75 (3), 1509-1528, 2016 | 107 | 2016 |
| A General Framework for Content-enhanced Network Representation Learning X Sun, J Guo, X Ding, T Liu arXiv preprint arXiv:1610.02906, 2016 | 104 | 2016 |
| Event Representation Learning Enhanced with External Commonsense Knowledge X Ding, K Liao, T Liu, Z Li, J Duan arXiv preprint arXiv:1909.05190, 2019 | 75 | 2019 |
| Story Ending Prediction by Transferable BERT Z Li, X Ding, T Liu arXiv preprint arXiv:1905.07504, 2019 | 67 | 2019 |
| ELG: An Event Logic Graph X Ding, Z Li, T Liu, K Liao arXiv preprint arXiv:1907.08015, 2019 | 61 | 2019 |
| Guided generation of cause and effect Z Li, X Ding, T Liu, JE Hu, B Van Durme arXiv preprint arXiv:2107.09846, 2021 | 60 | 2021 |
| ChatGPT is not Enough: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling L Yang, H Chen, Z Li, X Ding, X Wu arXiv preprint arXiv:2306.11489, 2023 | 49 | 2023 |
| Generating Reasonable and Diversified Story Ending Using Sequence to Sequence Model with Adversarial Training Z Li, X Ding, T Liu Proceedings of the 27th International Conference on Computational …, 2018 | 43 | 2018 |
| EEG: Knowledge Base for Event Evolutionary Principles and Patterns Z Li, S Zhao, X Ding, T Liu Chinese National Conference on Social Media Processing, 40-52, 2017 | 36 | 2017 |
| Learning Target-Specific Representations of Financial News Documents For Cumulative Abnormal Return Prediction J Duan, Y Zhang, X Ding, CY Chang, T Liu Proceedings of the 27th International Conference on Computational …, 2018 | 35 | 2018 |
| Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation J Gao, X Ding, B Qin, T Liu arXiv preprint arXiv:2305.07375, 2023 | 34 | 2023 |
| Event type recognition based on trigger expansion B Qin, Y Zhao, X Ding, T Liu, G Zhai Tsinghua Science and Technology 15 (3), 251-258, 2010 | 28 | 2010 |
| Learning Multi-Domain Adversarial Neural Networks for Text Classification X Ding, Q Shi, B Cai, T Liu, Y Zhao, Q Ye IEEE Access 7, 40323-40332, 2019 | 26 | 2019 |
| ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning L Du, X Ding, K Xiong, T Liu, B Qin | 26* | |
| e-CARE: a New Dataset for Exploring Explainable Causal Reasoning L Du, X Ding, K Xiong, T Liu, B Qin arXiv preprint arXiv:2205.05849, 2022 | 22 | 2022 |
Junwen DuanCentral South University在 csu.edu.cn 的电子邮件经过验证
