| Potential value of plasma amyloid-β, total tau, and neurofilament light for identification of early Alzheimer’s disease Y Shi, X Lu, L Zhang, H Shu, L Gu, Z Wang, L Gao, J Zhu, H Zhang, ... ACS Chemical Neuroscience 10 (8), 3479-3485, 2019 | 48 | 2019 |
| Multivariate machine learning analyses in identification of major depressive disorder using resting-state functional connectivity: A multicentral study Y Shi, L Zhang, Z Wang, X Lu, T Wang, D Zhou, Z Zhang ACS Chemical Neuroscience 12 (15), 2878-2886, 2021 | 30 | 2021 |
| A bayesian end-to-end model with estimated uncertainties for simple question answering over knowledge bases L Zhang, C Lin, D Zhou, Y He, M Zhang Computer Speech & Language 66, 101167, 2021 | 23 | 2021 |
| Implicit sentiment analysis with event-centered text representation D Zhou, J Wang, L Zhang, Y He Proceedings of the 2021 conference on empirical methods in natural language …, 2021 | 19 | 2021 |
| A novel framework based on medical concept driven attention for explainable medical code prediction via external knowledge T Wang, L Zhang, C Ye, J Liu, D Zhou Findings of the Association for Computational Linguistics: ACL 2022, 1407-1416, 2022 | 12 | 2022 |
| Beyond text: Incorporating metadata and label structure for multi-label document classification using heterogeneous graphs C Ye, L Zhang, Y He, D Zhou, J Wu Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 9 | 2021 |
| Sleep disturbance-related neuroimaging features as potential biomarkers for the diagnosis of major depressive disorder: A multicenter study based on machine learning Y Shi, L Zhang, C He, Y Yin, R Song, S Chen, D Fan, D Zhou, Y Yuan, ... Journal of Affective Disorders 295, 148-155, 2021 | 8 | 2021 |
| MERL: Multimodal event representation learning in heterogeneous embedding spaces L Zhang, D Zhou, Y He, Z Yang Proceedings of the AAAI Conference on Artificial Intelligence 35 (16), 14420 …, 2021 | 7 | 2021 |
| A neural group-wise sentiment analysis model with data sparsity awareness D Zhou, M Zhang, L Zhang, Y He Proceedings of the AAAI conference on artificial intelligence 35 (16), 14594 …, 2021 | 6 | 2021 |
| Temporal knowledge graph completion with approximated gaussian process embedding L Zhang, D Zhou Proceedings of the 29th International Conference on Computational …, 2022 | 5 | 2022 |
| Pre-training and fine-tuning neural topic model: A simple yet effective approach to incorporating external knowledge L Zhang, X Hu, B Wang, D Zhou, QW Zhang, Y Cao Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 5 | 2022 |
| SEE-few: Seed, expand and entail for few-shot named entity recognition Z Yang, L Zhang, D Zhou arXiv preprint arXiv:2210.05632, 2022 | 4 | 2022 |
| Neural topic modeling based on cycle adversarial training and contrastive learning B Wang, L Zhang, D Zhou, Y Cao, J Ding Findings of the Association for Computational Linguistics: ACL 2023, 9720-9731, 2023 | 1 | 2023 |
| A Divide-And-Conquer Approach for Multi-label Multi-hop Relation Detection in Knowledge Base Question Answering D Zhou, Y Xiang, L Zhang, C Ye, QW Zhang, Y Cao Findings of the Association for Computational Linguistics: EMNLP 2021, 4798-4808, 2021 | 1 | 2021 |
| A multi-label multi-hop relation detection model based on relation-aware sequence generation L Zhang, D Zhou, C Lin, Y He Findings of the Association for Computational Linguistics: EMNLP 2021, 4713-4719, 2021 | 1 | 2021 |
| Focusing, Bridging and Prompting for Few-shot Nested Named Entity Recognition Y Xu, Z Yang, L Zhang, D Zhou, T Wu, R Zhou Findings of the Association for Computational Linguistics: ACL 2023, 2621-2637, 2023 | | 2023 |
| Multi-Relational Probabilistic Event Representation Learning via Projected Gaussian Embedding L Zhang, C Zhang, D Zhou Findings of the Association for Computational Linguistics: ACL 2023, 6162-6174, 2023 | | 2023 |
