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Hangfeng He
Hangfeng He
Подтвержден адрес электронной почты в домене rochester.edu - Главная страница
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Процитировано
Процитировано
Год
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
1582017
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
1542017
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
144*2021
Rethinking with retrieval: Faithful large language model inference
H He, H Zhang, D Roth
arXiv preprint arXiv:2301.00303, 2022
902022
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
492017
The local elasticity of neural networks
H He, WJ Su
International Conference on Learning Representations, 2020
422020
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
402018
Toward better generalization bounds with locally elastic stability
Z Deng, H He, W Su
International Conference on Machine Learning, 2590-2600, 2021
342021
QuASE: Question-answer driven sentence encoding
H He, Q Ning, D Roth
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
312020
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
262020
Weighted Training for Cross-Task Learning
S Chen, K Crammer, H He, D Roth, WJ Su
International Conference on Learning Representations, 2022
232022
A law of data separation in deep learning
H He, WJ Su
Proceedings of the National Academy of Sciences 120 (36), e2221704120, 2023
202023
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
202020
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
182019
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
13*2021
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
112020
Robust learning rate selection for stochastic optimization via splitting diagnostic
M Sordello, N Dalmasso, H He, W Su
Transactions on Machine Learning Research, 2024
8*2024
Transfer learning via representation learning
M Rostami, H He, M Chen, D Roth
Federated and Transfer Learning, 233-257, 2022
82022
Understanding spatial relations through multiple modalities
S Dan, H He, D Roth
Proceedings of the 12th Language Resources and Evaluation Conference, 2368--2372, 2020
72020
Socreval: Large language models with the socratic method for reference-free reasoning evaluation
H He, H Zhang, D Roth
arXiv preprint arXiv:2310.00074, 2023
42023
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