| Weakly-supervised neural text classification Y Meng, J Shen, C Zhang, J Han Proceedings of the 27th ACM International Conference on Information and …, 2018 | 205 | 2018 |
| Text classification using label names only: A language model self-training approach Y Meng, Y Zhang, J Huang, C Xiong, H Ji, C Zhang, J Han Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 199 | 2020 |
| Coco-lm: Correcting and contrasting text sequences for language model pretraining Y Meng, C Xiong, P Bajaj, P Bennett, J Han, X Song Advances in Neural Information Processing Systems 34, 23102-23114, 2021 | 182 | 2021 |
| Weakly-supervised hierarchical text classification Y Meng, J Shen, C Zhang, J Han Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6826-6833, 2019 | 142 | 2019 |
| Generating training data with language models: Towards zero-shot language understanding Y Meng, J Huang, Y Zhang, J Han Advances in Neural Information Processing Systems 35, 462-477, 2022 | 125 | 2022 |
| Spherical text embedding Y Meng, J Huang, G Wang, C Zhang, H Zhuang, L Kaplan, J Han Advances in Neural Information Processing Systems 32, 2019 | 121 | 2019 |
| Discriminative topic mining via category-name guided text embedding Y Meng, J Huang, G Wang, Z Wang, C Zhang, Y Zhang, J Han Proceedings of The Web Conference 2020, 2121-2132, 2020 | 73 | 2020 |
| Distantly-supervised named entity recognition with noise-robust learning and language model augmented self-training Y Meng, Y Zhang, J Huang, X Wang, Y Zhang, H Ji, J Han Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 63 | 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 | 60 | 2024 |
| Hierarchical topic mining via joint spherical tree and text embedding Y Meng, Y Zhang, J Huang, Y Zhang, C Zhang, J Han Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 59 | 2020 |
| TaxoClass: Hierarchical multi-label text classification using only class names J Shen, W Qiu, Y Meng, J Shang, X Ren, J Han Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 57 | 2021 |
| Weakly-supervised aspect-based sentiment analysis via joint aspect-sentiment topic embedding J Huang, Y Meng, F Guo, H Ji, J Han Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 49 | 2020 |
| Higitclass: Keyword-driven hierarchical classification of github repositories Y Zhang, FF Xu, S Li, Y Meng, X Wang, Q Li, J Han 2019 IEEE International Conference on Data Mining (ICDM), 876-885, 2019 | 48 | 2019 |
| Topic discovery via latent space clustering of pretrained language model representations Y Meng, Y Zhang, J Huang, Y Zhang, J Han Proceedings of the ACM Web Conference 2022, 3143-3152, 2022 | 47 | 2022 |
| Corel: Seed-guided topical taxonomy construction by concept learning and relation transferring J Huang, Y Xie, Y Meng, Y Zhang, J Han Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 35 | 2020 |
| Ucphrase: Unsupervised context-aware quality phrase tagging X Gu, Z Wang, Z Bi, Y Meng, L Liu, J Han, J Shang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 33 | 2021 |
| Tuning language models as training data generators for augmentation-enhanced few-shot learning Y Meng, M Michalski, J Huang, Y Zhang, T Abdelzaher, J Han International Conference on Machine Learning, 24457-24477, 2023 | 31 | 2023 |
| Minimally supervised categorization of text with metadata Y Zhang, Y Meng, J Huang, FF Xu, X Wang, J Han Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 30 | 2020 |
| Guiding corpus-based set expansion by auxiliary sets generation and co-expansion J Huang, Y Xie, Y Meng, J Shen, Y Zhang, J Han Proceedings of The Web Conference 2020, 2188-2198, 2020 | 30 | 2020 |
| Evaluating large language models at evaluating instruction following Z Zeng, J Yu, T Gao, Y Meng, T Goyal, D Chen International Conference on Learning Representations, 2024 | 24 | 2024 |
Jiawei HanAbel Bliss Professor of Computer Science, University of IllinoisVerified email at cs.uiuc.edu
