| Deep learning for event-driven stock prediction X Ding, Y Zhang, T Liu, J Duan Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015 | 1109 | 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 | 352 | 2014 |
| Constructing Narrative Event Evolutionary Graph for Script Event Prediction Z Li, X Ding, T Liu arXiv preprint arXiv:1805.05081, 2018 | 241 | 2018 |
| Give Us the Facts: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling L Yang, H Chen, Z Li, X Ding, X Wu IEEE Transactions on Knowledge and Data Engineering, 2024 | 183 | 2024 |
| 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 | 165 | 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 | 135 | 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 | 112 | 2016 |
| A General Framework for Content-enhanced Network Representation Learning X Sun, J Guo, X Ding, T Liu arXiv preprint arXiv:1610.02906, 2016 | 108 | 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 | 85 | 2019 |
| Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation J Gao, X Ding, B Qin, T Liu arXiv preprint arXiv:2305.07375, 2023 | 75 | 2023 |
| Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate K Xiong, X Ding, Y Cao, T Liu, B Qin Findings of the Association for Computational Linguistics: EMNLP 2023, 7572-7590, 2023 | 73 | 2023 |
| ELG: An Event Logic Graph X Ding, Z Li, T Liu, K Liao arXiv preprint arXiv:1907.08015, 2019 | 73 | 2019 |
| Guided generation of cause and effect Z Li, X Ding, T Liu, JE Hu, B Van Durme arXiv preprint arXiv:2107.09846, 2021 | 70 | 2021 |
| Story Ending Prediction by Transferable BERT Z Li, X Ding, T Liu arXiv preprint arXiv:1905.07504, 2019 | 66 | 2019 |
| On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey L Long, R Wang, R Xiao, J Zhao, X Ding, G Chen, H Wang arXiv preprint arXiv:2406.15126, 2024 | 64 | 2024 |
| 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 | 44 | 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 | 39 | 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 | 37 | 2018 |
| 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 | 36 | 2022 |
| ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning L Du, X Ding, K Xiong, T Liu, B Qin | 35* | |
Junwen DuanCentral South UniversityVerified email at csu.edu.cn
