| Towards more accurate uncertainty estimation in text classification J He, X Zhang, S Lei, Z Chen, F Chen, A Alhamadani, B Xiao, CT Lu Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 37 | 2020 |
| Adaptively Unified Semi-supervised Learning for Cross-Modal Retrieval. L Zhang, B Ma, J He, G Li, Q Huang, Q Tian IJCAI, 3406-3412, 2017 | 32 | 2017 |
| Cross-modal retrieval by real label partial least squares J He, B Ma, S Wang, Y Liu, Q Huang Proceedings of the 24th ACM international conference on Multimedia, 227-231, 2016 | 20 | 2016 |
| Cross-domain few-shot semantic segmentation S Lei, X Zhang, J He, F Chen, B Du, CT Lu European Conference on Computer Vision, 73-90, 2022 | 15 | 2022 |
| Med-MMHL: A Multi-Modal Dataset for Detecting Human-and LLM-Generated Misinformation in the Medical Domain Y Sun*, J He*, S Lei, L Cui, CT Lu arXiv preprint arXiv:2306.08871, 2023 | 9 | 2023 |
| Uncertainty-aware cross-lingual transfer with pseudo partial labels S Lei, X Zhang, J He, F Chen, CT Lu Findings of the Association for Computational Linguistics: NAACL 2022, 1987-1997, 2022 | 9 | 2022 |
| Zero-shot end-to-end spoken language understanding via cross-modal selective self-training J He, J Salazar, K Yao, H Li, J Cai arXiv preprint arXiv:2305.12793, 2023 | 7 | 2023 |
| Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challenges Y Sun, J He, L Cui, S Lei, CT Lu arXiv preprint arXiv:2403.18249, 2024 | 6 | 2024 |
| Multi-label double-layer learning for cross-modal retrieval J He, B Ma, S Wang, Y Liu, Q Huang Neurocomputing 275, 1893-1902, 2018 | 6 | 2018 |
| Clur: Uncertainty estimation for few-shot text classification with contrastive learning J He, X Zhang, S Lei, A Alhamadani, F Chen, B Xiao, CT Lu Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 5 | 2023 |
| LANS: Large-scale Arabic News Summarization Corpus A Alhamadani, X Zhang, J He, CT Lu arXiv preprint arXiv:2210.13600, 2022 | 5 | 2022 |
| Semantic inpainting on segmentation map via multi-expansion loss J He, X Zhang, S Lei, S Wang, CT Lu, B Xiao Neurocomputing 501, 306-317, 2022 | 5 | 2022 |
| 对外实用汉语游戏性学习系统研究 何建锋， 黄雪丹， 杜妮香， 沈靖喃 Software Guide 5, 155-157, 2013 | 5 | 2013 |
| Don't Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection M Zhang, J He, T Ji, CT Lu arXiv preprint arXiv:2402.11406, 2024 | 4 | 2024 |
| Self-Correlation and Cross-Correlation Learning for Few-Shot Remote Sensing Image Semantic Segmentation L Wang, S Lei, J He, S Wang, M Zhang, CT Lu Proceedings of the 31st ACM International Conference on Advances in …, 2023 | 4 | 2023 |
| TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation S Lei, X Zhang, J He, F Chen, CT Lu arXiv preprint arXiv:2306.02175, 2023 | 4 | 2023 |
| Can LLM find the green circle? Investigation and Human-guided tool manipulation for compositional generalization M Zhang, J He, S Lei, M Yue, L Wang, CT Lu ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 3 | 2024 |
| Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection J He, H Su, J Cai, I Shalyminov, H Song, S Mansour arXiv preprint arXiv:2403.04073, 2024 | 3 | 2024 |
| Adaptive graph convolutional imputation network for environmental sensor data recovery F Chen, D Wang, S Lei, J He, Y Fu, CT Lu Frontiers in Environmental Science 10, 1025268, 2022 | 3 | 2022 |
| Reducing noise pixels and metric bias in semantic inpainting on segmentation map J He, B Xiao, X Zhang, S Lei, S Wang, CT Lu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 3 | 2021 |
Shuhui Wang（王树徽）Professor, Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
