| Weakly-supervised neural text classification Y Meng, J Shen, C Zhang, J Han proceedings of the 27th ACM International Conference on information and …, 2018 | 237 | 2018 |
| Large language models are effective text rankers with pairwise ranking prompting Z Qin, R Jagerman, K Hui, H Zhuang, J Wu, L Yan, J Shen, T Liu, J Liu, ... arXiv preprint arXiv:2306.17563, 2023 | 204 | 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, 55734-55784, 2023 | 199 | 2023 |
| 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 | 155 | 2019 |
| Taxogen: Unsupervised topic taxonomy construction by adaptive term embedding and clustering C Zhang, F Tao, X Chen, J Shen, M Jiang, B Sadler, M Vanni, J Han Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 144* | 2018 |
| Setexpan: Corpus-based set expansion via context feature selection and rank ensemble J Shen, Z Wu, D Lei, J Shang, X Ren, J Han Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 113 | 2017 |
| TaxoExpan: Self-supervised taxonomy expansion with position-enhanced graph neural network J Shen, Z Shen, C Xiong, C Wang, K Wang, J Han Proceedings of the web conference 2020, 486-497, 2020 | 99 | 2020 |
| Eider: Empowering document-level relation extraction with efficient evidence extraction and inference-stage fusion Y Xie, J Shen, S Li, Y Mao, J Han arXiv preprint arXiv:2106.08657, 2021 | 85 | 2021 |
| Hiexpan: Task-guided taxonomy construction by hierarchical tree expansion J Shen, Z Wu, D Lei, C Zhang, X Ren, MT Vanni, BM Sadler, J Han Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 85 | 2018 |
| Towards understanding chain-of-thought prompting: An empirical study of what matters B Wang, S Min, X Deng, J Shen, Y Wu, L Zettlemoyer, H Sun arXiv preprint arXiv:2212.10001, 2022 | 80 | 2022 |
| TaxoClass: Hierarchical multi-label text classification using only class names J Shen, W Qiu, Y Meng, J Shang, X Ren, J Han NAAC'21: Proceedings of the 2021 Conference of the North American Chapter of …, 2021 | 74 | 2021 |
| Empower entity set expansion via language model probing Y Zhang, J Shen, J Shang, J Han arXiv preprint arXiv:2004.13897, 2020 | 60 | 2020 |
| End-to-end reinforcement learning for automatic taxonomy induction Y Mao, X Ren, J Shen, X Gu, J Han arXiv preprint arXiv:1805.04044, 2018 | 60 | 2018 |
| 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 | 58 | 2020 |
| AceMap: A novel approach towards displaying relationship among academic literatures Z Tan, C Liu, Y Mao, Y Guo, J Shen, X Wang Proceedings of the 25th international conference companion on world wide web …, 2016 | 45 | 2016 |
| Taxonomy completion via triplet matching network J Zhang, X Song, Y Zeng, J Chen, J Shen, Y Mao, L Li Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4662-4670, 2021 | 42 | 2021 |
| Cold-start data selection for few-shot language model fine-tuning: A prompt-based uncertainty propagation approach Y Yu, R Zhang, R Xu, J Zhang, J Shen, C Zhang arXiv preprint arXiv:2209.06995, 2022 | 39 | 2022 |
| Near-imperceptible neural linguistic steganography via self-adjusting arithmetic coding J Shen, H Ji, J Han arXiv preprint arXiv:2010.00677, 2020 | 39 | 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 | 38 | 2020 |
| Entity set search of scientific literature: An unsupervised ranking approach J Shen, J Xiao, X He, J Shang, S Sinha, J Han The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 37 | 2018 |
Jiawei HanAbel Bliss Professor of Computer Science, University of IllinoisPatvirtintas el. paštas cs.uiuc.edu