| A unified model for cross-domain and semi-supervised named entity recognition in chinese social media H He, X Sun Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 131 | 2017 |
| F-score driven max margin neural network for named entity recognition in chinese social media H He, X Sun Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 125 | 2017 |
| Exploring deep neural networks via layer-peeled model: Minority collapse in imbalanced training C Fang, H He, Q Long, WJ Su Proceedings of the National Academy of Sciences 118 (43), e2103091118, 2021 | 61* | 2021 |
| Detecting negation scope is easy, except when it isn’t F Fancellu, A Lopez, B Webber, H He Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 43 | 2017 |
| Cross-domain and semisupervised named entity recognition in chinese social media: A unified model J Xu, H He, X Sun, X Ren, S Li IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (11 …, 2018 | 30 | 2018 |
| The local elasticity of neural networks H He, WJ Su International Conference on Learning Representations, 2020 | 28 | 2020 |
| QuASE: Question-answer driven sentence encoding H He, Q Ning, D Roth Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 25 | 2020 |
| Toward better generalization bounds with locally elastic stability Z Deng, H He, W Su International Conference on Machine Learning, 2590-2600, 2021 | 24 | 2021 |
| QANom: Question-answer driven SRL for nominalizations A Klein, J Mamou, V Pyatkin, D Stepanov, H He, D Roth, L Zettlemoyer, ... Proceedings of the 28th international conference on computational …, 2020 | 19 | 2020 |
| Label-aware neural tangent kernel: Toward better generalization and local elasticity S Chen, H He, WJ Su Advances in Neural Information Processing Systems 33, 2020 | 15 | 2020 |
| Towards understanding the dynamics of the first-order adversaries Z Deng, H He, J Huang, W Su International Conference on Machine Learning, 2484-2493, 2020 | 11 | 2020 |
| Partial Or Complete, That's The Question Q Ning, H He, C Fan, D Roth Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 11 | 2019 |
| Weighted Training for Cross-Task Learning S Chen, K Crammer, H He, D Roth, WJ Su International Conference on Learning Representations, 2022 | 10 | 2022 |
| Foreseeing the benefits of incidental supervision H He, M Zhang, Q Ning, D Roth Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 9* | 2021 |
| Understanding spatial relations through multiple modalities S Dan, H He, D Roth Proceedings of the 12th Language Resources and Evaluation Conference, 2368--2372, 2020 | 6 | 2020 |
| Robust learning rate selection for stochastic optimization via splitting diagnostic M Sordello, H He, W Su arXiv preprint arXiv:1910.08597, 2019 | 5 | 2019 |
| Rethinking with Retrieval: Faithful Large Language Model Inference H He, H Zhang, D Roth arXiv preprint arXiv:2301.00303, 2022 | 3 | 2022 |
| Neural Networks for Negation Cue Detection in Chinese H He, F Fancellu, B Webber Proceedings of the Workshop Computational Semantics Beyond Events and Roles …, 2017 | 3 | 2017 |
| A law of data separation in deep learning H He, WJ Su arXiv preprint arXiv:2210.17020, 2022 | 2 | 2022 |
| Transfer Learning via Representation Learning M Rostami, H He, M Chen, D Roth Federated and Transfer Learning, 233-257, 2022 | 1 | 2022 |
Weijie J. SuAssociate Professor, Wharton and Computer Science, University of PennsylvaniaVerified email at wharton.upenn.edu
