| The biases of pre-trained language models: An empirical study on prompt-based sentiment analysis and emotion detection R Mao, Q Liu, K He, W Li, E Cambria IEEE transactions on affective computing 14 (3), 1743-1753, 2023 | 201 | 2023 |
| A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics K He, R Mao, Q Lin, Y Ruan, X Lan, M Feng, E Cambria Information Fusion, 102963, 2025 | 139 | 2025 |
| Meta-based self-training and re-weighting for aspect-based sentiment analysis K He, R Mao, T Gong, C Li, E Cambria IEEE Transactions on Affective Computing 14 (3), 1731-1742, 2022 | 81 | 2022 |
| Copner: Contrastive learning with prompt guiding for few-shot named entity recognition Y Huang, K He, Y Wang, X Zhang, T Gong, R Mao, C Li Proceedings of the 29th International conference on computational …, 2022 | 75 | 2022 |
| Virtual prompt pre-training for prototype-based few-shot relation extraction K He, Y Huang, R Mao, T Gong, C Li, E Cambria Expert Systems with Applications, 118927, 2023 | 60 | 2023 |
| MetaPro Online:: A computational metaphor processing online system R Mao, X Li, H Kai, M Ge, E Cambria Proceedings of the 61st annual meeting of the association for computational …, 2023 | 41 | 2023 |
| A survey on semantic processing techniques R Mao, K He, X Zhang, G Chen, J Ni, Z Yang, E Cambria Information Fusion 101, 101988, 2024 | 38 | 2024 |
| Understanding the patient perspective of epilepsy treatment through text mining of online patient support groups K He, N Hong, S Lapalme-Remis, Y Lan, M Huang, C Li, L Yao Epilepsy & Behavior 94, 65-71, 2019 | 32 | 2019 |
| MEGACare: Knowledge-guided multi-view hypergraph predictive framework for healthcare J Wu, K He, R Mao, C Li, E Cambria Information Fusion 100, 101939, 2023 | 28 | 2023 |
| Construction of genealogical knowledge graphs from obituaries: Multitask neural network extraction system K He, L Yao, JW Zhang, Y Li, C Li Journal of medical Internet research 23 (8), e25670, 2021 | 28 | 2021 |
| Knowledge enhanced lstm for coreference resolution on biomedical texts Y Li, X Ma, X Zhou, P Cheng, K He, C Li Bioinformatics 37 (17), 2699-2705, 2021 | 20 | 2021 |
| Implementation of National Health Informatization in China: survey about the status quo C Li, X Xu, G Zhou, K He, T Qi, W Zhang, F Tian, Q Zheng, J Hu JMIR medical informatics 7 (1), e12238, 2019 | 20 | 2019 |
| Template-free prompting for few-shot named entity recognition via semantic-enhanced contrastive learning K He, R Mao, Y Huang, T Gong, C Li, E Cambria IEEE transactions on neural networks and learning systems, 2023 | 16 | 2023 |
| Extracting kinship from obituary to enhance electronic health records for genetic research K He, J Wu, X Ma, C Zhang, M Huang, C Li, L Yao Proceedings of the Fourth social media mining for health applications …, 2019 | 16 | 2019 |
| MetaPro 2.0: Computational metaphor processing on the effectiveness of anomalous language modeling R Mao, K He, C Ong, Q Liu, E Cambria Findings of the Association for Computational Linguistics ACL 2024, 9891-9908, 2024 | 14 | 2024 |
| Neuro-symbolic sentiment analysis with dynamic word sense disambiguation X Zhang, R Mao, K He, E Cambria Findings of the Association for Computational Linguistics: EMNLP 2023, 8772-8783, 2023 | 14 | 2023 |
| JCBIE: a joint continual learning neural network for biomedical information extraction K He, R Mao, T Gong, E Cambria, C Li BMC bioinformatics 23 (1), 549, 2022 | 10 | 2022 |
| Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey Q Lin, Y Zhu, X Mei, L Huang, J Ma, K He, Z Peng, E Cambria, M Feng Information Fusion, 102795, 2024 | 9 | 2024 |
| Knowledge enhanced coreference resolution via gated attention K He, B Mao, X Zhou, Y Li, T Gong, C Li, J Wu 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 9 | 2022 |
| Uncertainty-guided mutual consistency training for semi-supervised biomedical relation extraction B Mao, C Jia, Y Huang, K He, J Wu, T Gong, C Li 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 8 | 2022 |
Erik CambriaProfessor of Artificial Intelligence, CCDS, NTU SingaporeZweryfikowany adres z ntu.edu.sg