| 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 | 284 | 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, 2023 | 187 | 2023 |
| 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, 2023 | 167 | 2023 |
| 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 | 140 | 2021 |
| 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 | 133 | 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 | 115 | 2021 |
| 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 | 100 | 2020 |
| A Survey on Programmatic Weak Supervision J Zhang, CY Hsieh, Y Yu, C Zhang, A Ratner arXiv preprint arXiv:2202.05433, 2022 | 92 | 2022 |
| Seqmix: Augmenting active sequence labeling via sequence mixup R Zhang, Y Yu, C Zhang EMNLP 2020, 8566-8579, 2020 | 85 | 2020 |
| 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 | 58* | 2022 |
| 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 | 56 | 2020 |
| 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 | 53 | 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 | 50* | 2022 |
| 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 | 50 | 2019 |
| 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 | 42* | 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 | 34 | 2020 |
| EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records W Shi, R Xu, Y Zhuang, Y Yu, J Zhang, H Wu, Y Zhu, J Ho, C Yang, ... EMNLP 2024, 2024 | 29* | 2024 |
| 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 | 29 | 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 | 26* | 2023 |
| 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 | 25 | 2022 |
Chao ZhangAssistant Professor at College of Computing, Georgia TechDirección de correo verificada de gatech.edu
