| Edge-enhanced graph convolution networks for event detection with syntactic relation S Cui, B Yu, T Liu, Z Zhang, X Wang, J Shi arXiv preprint arXiv:2002.10757, 2020 | 123 | 2020 |
| A survey on deep learning event extraction: Approaches and applications Q Li, J Li, J Sheng, S Cui, J Wu, Y Hei, H Peng, S Guo, L Wang, ... IEEE Transactions on Neural Networks and Learning Systems, 2022 | 61 | 2022 |
| Few-shot event detection with prototypical amortized conditional random field X Cong, S Cui, B Yu, T Liu, Y Wang, B Wang arXiv preprint arXiv:2012.02353, 2020 | 49 | 2020 |
| Inductive unsupervised domain adaptation for few-shot classification via clustering X Cong, B Yu, T Liu, S Cui, H Tang, B Wang Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021 | 24 | 2021 |
| Dual-gated fusion with prefix-tuning for multi-modal relation extraction Q Li, S Guo, C Ji, X Peng, S Cui, J Li arXiv preprint arXiv:2306.11020, 2023 | 11 | 2023 |
| Label-Aware Chinese Event Detection with Heterogeneous Graph Attention Network SY Cui, BW Yu, X Cong, TW Liu, QF Tan, JQ Shi Journal of Computer Science and Technology, 0 | 11* | |
| CorED: Incorporating type-level and instance-level correlations for fine-grained event detection J Sheng, R Sun, S Guo, S Cui, J Cao, L Wang, T Liu, H Xu Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 9 | 2022 |
| Relation-guided few-shot relational triple extraction X Cong, J Sheng, S Cui, B Yu, T Liu, B Wang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 8 | 2022 |
| Enhancing multimodal entity and relation extraction with variational information bottleneck S Cui, J Cao, X Cong, J Sheng, Q Li, T Liu, J Shi IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024 | 7 | 2024 |
| Fft: Towards harmlessness evaluation and analysis for llms with factuality, fairness, toxicity S Cui, Z Zhang, Y Chen, W Zhang, T Liu, S Wang, T Liu arXiv preprint arXiv:2311.18580, 2023 | 5 | 2023 |
| Event Causality Extraction with Event Argument Correlations S Cui, J Sheng, X Cong, QG Li, T Liu, J Shi arXiv preprint arXiv:2301.11621, 2023 | 4 | 2023 |
| Document-level event extraction via human-like reading process S Cui, X Cong, B Yu, T Liu, Y Wang, J Shi ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 4 | 2022 |
| Adaptive Data Augmentation for Aspect Sentiment Quad Prediction W Zhang, X Zhang, S Cui, K Huang, X Wang, T Liu arXiv preprint arXiv:2401.06394, 2024 | 2 | 2024 |
| URM4DMU: An User Representation Model for Darknet Markets Users H Liu, J Zhao, Y Huo, Y Wang, C Liao, L Shen, S Cui, J Shi ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 2 | 2023 |
| Improving Adaptive Knowledge Graph Construction via Large Language Models with Multiple Views Y Chen, S Cui, K Huang, S Wang, C Tang, T Liu, B Fang China Conference on Knowledge Graph and Semantic Computing, 273-284, 2023 | | 2023 |
| Prompt2Gaussia: Uncertain Prompt-learning for Script Event Prediction S Cui, X Cong, J Sheng, X Wang, T Liu, J Shi arXiv preprint arXiv:2308.02103, 2023 | | 2023 |
Tingwen LiuFull Professor of Institute of Information Engineering, Chinese Academy of Sciencesiie.ac.cn의 이메일 확인됨
