Bond: Bert-assisted open-domain named entity recognition with distant supervision C Liang*, Y Yu*, H Jiang*, S Er, R Wang, T Zhao, C Zhang Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 257 | 2020 |
Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach Y Yu*, S Zuo*, H Jiang, W Ren, T Zhao, C Zhang NAACL 2021, 1063-1077, 2021 | 113 | 2021 |
SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization Y Yu, K Huang, C Zhang, LM Glass, J Sun, C Xiao Bioinformatics 37 (18), 2988-2995, 2021 | 111 | 2021 |
WRENCH: A Comprehensive Benchmark for Weak Supervision J Zhang, Y Yu, Y Li, Y Wang, Y Yang, M Yang, A Ratner NeurIPS 2021 Datasets and Benchmarks Track, 2021 | 98 | 2021 |
Large language model as attributed training data generator: A tale of diversity and bias Y Yu, Y Zhuang, J Zhang, Y Meng, AJ Ratner, R Krishna, J Shen, C Zhang Advances in Neural Information Processing Systems 36, 2024 | 85 | 2024 |
A Survey on Programmatic Weak Supervision J Zhang, CY Hsieh, Y Yu, C Zhang, A Ratner arXiv preprint arXiv:2202.05433, 2022 | 83 | 2022 |
Urban Anomaly Analytics: Description, Detection, and Prediction M Zhang, T Li, Y Yu, Y Li, P Hui, Y Zheng IEEE Transactions on Big Data 8 (3), 809-826, 2020 | 79 | 2020 |
Seqmix: Augmenting active sequence labeling via sequence mixup R Zhang, Y Yu, C Zhang EMNLP 2020, 8566-8579, 2020 | 74 | 2020 |
Toolqa: A dataset for llm question answering with external tools Y Zhuang, Y Yu, K Wang, H Sun, C Zhang Advances in Neural Information Processing Systems 36, 2024 | 72 | 2024 |
STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths Y Yu, Y Li, J Shen, H Feng, J Sun, C Zhang Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 47 | 2020 |
Privacy-preserving Cross-domain Location Recommendation C Gao, C Huang, Y Yu, H Wang, Y Li, D Jin Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019 | 46 | 2019 |
Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning R Zhang, Y Yu, P Shetty, L Song, C Zhang Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 45* | 2022 |
COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning Y Yu, C Xiong, S Sun, C Zhang, A Overwijk EMNLP 2022, 1462-1479, 2022 | 40 | 2022 |
AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models Y Yu, L Kong, J Zhang, R Zhang, C Zhang Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 40* | 2022 |
Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach Y Yu, R Zhang, R Xu, J Zhang, J Shen, C Zhang Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 29* | 2023 |
Semantic-aware Spatio-temporal App Usage Representation via Graph Convolutional Network Y Yu, T Xia, H Wang, J Feng, Y Li Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020 | 28 | 2020 |
Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions on EHR R Xu, Y Yu, C Zhang, MK Ali, JC Ho, C Yang Machine Learning for Health, 259-278, 2022 | 23 | 2022 |
ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval Y Yu, Y Zhuang, R Zhang, Y Meng, J Shen, C Zhang Findings of ACL 2023, 11782–11805, 2023 | 20 | 2023 |
Neighborhood-regularized self-training for learning with few labels R Xu, Y Yu, H Cui, X Kan, Y Zhu, J Ho, C Zhang, C Yang Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 10611 …, 2023 | 19 | 2023 |
Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis Y Yu, X Kan, H Cui, R Xu, Y Zheng, X Song, Y Zhu, K Zhang, R Nabi, ... 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 18* | 2023 |