| Big data driven mobile traffic understanding and forecasting: A time series approach F Xu, Y Lin, J Huang, D Wu, H Shi, J Song, Y Li IEEE transactions on services computing 9 (5), 796-805, 2016 | 257 | 2016 |
| Large language models can self-improve J Huang, SS Gu, L Hou, Y Wu, X Wang, H Yu, J Han EMNLP 2023, 2023 | 255 | 2023 |
| 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 arXiv preprint arXiv:2010.07245, 2020 | 199 | 2020 |
| Few-shot named entity recognition: An empirical baseline study J Huang, C Li, K Subudhi, D Jose, S Balakrishnan, W Chen, B Peng, ... Proceedings of the 2021 conference on empirical methods in natural language …, 2021 | 153* | 2021 |
| 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 arXiv preprint arXiv:2109.05003, 2021 | 63 | 2021 |
| 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 |
| Weakly-supervised aspect-based sentiment analysis via joint aspect-sentiment topic embedding J Huang, Y Meng, F Guo, H Ji, J Han arXiv preprint arXiv:2010.06705, 2020 | 49 | 2020 |
| 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 |
| Temporal-spatial mobile application usage understanding and popularity prediction for edge caching M Zeng, TH Lin, M Chen, H Yan, J Huang, J Wu, Y Li IEEE Wireless Communications 25 (3), 36-42, 2018 | 36 | 2018 |
| 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 |
| 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 |
| Few-shot fine-grained entity typing with automatic label interpretation and instance generation J Huang, Y Meng, J Han Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 14 | 2022 |
| On the understanding of interdependency of mobile app usage J Huang, F Xu, Y Lin, Y Li 2017 IEEE 14th International Conference on Mobile Ad Hoc and Sensor Systems …, 2017 | 13 | 2017 |
| Unsupervised word embedding learning by incorporating local and global contexts Y Meng, J Huang, G Wang, Z Wang, C Zhang, J Han Frontiers in big Data 3, 9, 2020 | 8 | 2020 |
| Understanding motivations behind inaccurate check-ins F Xu, G Zhang, Z Chen, J Huang, Y Li, D Yang, BY Zhao, F Meng Proceedings of the ACM on Human-Computer Interaction 2 (CSCW), 1-22, 2018 | 8 | 2018 |
