| WRENCH: A comprehensive benchmark for weak supervision J Zhang, Y Yu, Y Li, Y Wang, Y Yang, M Yang, A Ratner Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021 | 99 | 2021 |
| Denoising multi-source weak supervision for neural text classification W Ren, Y Li, H Su, D Kartchner, C Mitchell, C Zhang Findings of the Association for Computational Linguistics: EMNLP, 3739-3754, 2020 | 69 | 2020 |
| 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 |
| Bertifying the hidden markov model for multi-source weakly supervised named entity recognition Y Li, P Shetty, L Liu, C Zhang, L Song Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 31 | 2021 |
| Transformer-based neural text generation with syntactic guidance Y Li, R Feng, I Rehg, C Zhang arXiv preprint arXiv:2010.01737, 2020 | 18 | 2020 |
| The delineation of fiducial points for non-contact radar seismocardiogram signals without concurrent ecg Z Xia, MMH Shandhi, Y Li, OT Inan, Y Zhang IEEE Journal of Biomedical and Health Informatics 25 (4), 1031-1040, 2020 | 16 | 2020 |
| Standalone systolic profile detection of non-contact SCG signal with LSTM network Y Li, Z Xia, Y Zhang IEEE Sensors Journal 20 (6), 3123-3131, 2019 | 15 | 2019 |
| Resel: N-ary relation extraction from scientific text and tables by learning to retrieve and select Y Zhuang, Y Li, JJ Cheung, Y Yu, Y Mou, X Chen, L Song, C Zhang Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 14 | 2022 |
| Polyie: A dataset of information extraction from polymer material scientific literature JJ Cheung, Y Zhuang, Y Li, P Shetty, W Zhao, S Grampurohit, ... Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | 5 | 2024 |
| Sparse conditional hidden Markov model for weakly supervised named entity recognition Y Li, L Song, C Zhang Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 5 | 2022 |
| Muben: Benchmarking the uncertainty of molecular representation models Y Li, L Kong, Y Du, Y Yu, Y Zhuang, W Mu, C Zhang Transactions on Machine Learning Research, 2024 | 4* | 2024 |
| A Simple but Effective Approach to Improve Structured Language Model Output for Information Extraction Y Li, R Ramprasad, C Zhang arXiv preprint arXiv:2402.13364, 2024 | 3 | 2024 |
| Assessing Logical Puzzle Solving in Large Language Models: Insights from a Minesweeper Case Study Y Li, H Wang, C Zhang Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | 2 | 2024 |
| Accelerated Scheme to Predict Ring-Opening Polymerization Enthalpy: Simulation-Experimental Data Fusion and Multitask Machine Learning A Toland, H Tran, L Chen, Y Li, C Zhang, W Gutekunst, R Ramprasad The Journal of Physical Chemistry A 127 (50), 10709-10716, 2023 | 2 | 2023 |
| Extracting Shopping Interest-Related Product Types from the Web Y Li, C Lockard, P Shiralkar, C Zhang Findings of the Association for Computational Linguistics: ACL 2023, 2023 | 1 | 2023 |
| ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models Y Heng, C Deng, Y Li, Y Yu, Y Li, R Zhang, C Zhang arXiv preprint arXiv:2403.11103, 2024 | | 2024 |
| TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidance H Wang, R Zhang, Y Li, L Kong, Y Zhuang, X Chen, C Zhang arXiv preprint arXiv:2401.13849, 2024 | | 2024 |
Chao ZhangAssistant Professor at College of Computing, Georgia Tech在 gatech.edu 的电子邮件经过验证
