Hangfeng He

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	Total	Desde 2019
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Dan RothProfessor of Computer Science, University of PennsylvaniaDirección de correo verificada de seas.upenn.edu
Weijie SuAssociate Professor, University of PennsylvaniaDirección de correo verificada de wharton.upenn.edu
Qiang NingAmazonDirección de correo verificada de amazon.com
Cong FangPeking UniversityDirección de correo verificada de pku.edu.cn
Hongming ZhangSenior Researcher, Tencent AI Lab Seattle. && Ph.D., HKUSTDirección de correo verificada de connect.ust.hk
Bonnie WebberProfessor, School of Informatics, University of EdinburghDirección de correo verificada de ed.ac.uk
Federico Fancellu3M, DublinDirección de correo verificada de mmm.com
Zhun DengPostdoctoral Researcher, Columbia UniversityDirección de correo verificada de columbia.edu
Shuxiao ChenUniversity of PennsylvaniaDirección de correo verificada de wharton.upenn.edu
Mingyuan ZhangUniversity of PennsylvaniaDirección de correo verificada de seas.upenn.edu
Ido DaganProfessor, Computer Science Department, Bar-Ilan UniversityDirección de correo verificada de cs.biu.ac.il
Ayal KleinPh.D. Candidate, Bar Ilan UniversityDirección de correo verificada de macs.biu.ac.il
Soham DanIBM ResearchDirección de correo verificada de ibm.com
Muhao ChenAssistant Professor of Computer Science, University of California, DavisDirección de correo verificada de ucdavis.edu
Mohammad RostamiUniversity of Southern CaliforniaDirección de correo verificada de seas.upenn.edu
Matteo SordelloWharton School, University of PennsylvaniaDirección de correo verificada de wharton.upenn.edu
Tin D. NguyenGraduate student, MITDirección de correo verificada de mit.edu
Kaifu WangUniversity of PennsylvaniaDirección de correo verificada de sas.upenn.edu
Koby CrammerProfessor of Electrical Engineering, Technion - Israel Institute of TechnologyDirección de correo verificada de ee.technion.ac.il
Dr. Piyush KumarSystems and Technology ResearchDirección de correo verificada de stresearch.com

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Hangfeng He

University of Rochester

Dirección de correo verificada de rochester.edu - Página principal

Natural Language Processing Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	156	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	151	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	136*	2021
Rethinking with retrieval: Faithful large language model inference H He, H Zhang, D Roth arXiv preprint arXiv:2301.00303, 2022	80	2022
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	47	2017
The local elasticity of neural networks H He, WJ Su International Conference on Learning Representations, 2020	41	2020
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	40	2018
Toward better generalization bounds with locally elastic stability Z Deng, H He, W Su International Conference on Machine Learning, 2590-2600, 2021	33	2021
QuASE: Question-answer driven sentence encoding H He, Q Ning, D Roth Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020	31	2020
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	25	2020
Weighted Training for Cross-Task Learning S Chen, K Crammer, H He, D Roth, WJ Su International Conference on Learning Representations, 2022	23	2022
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	20	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	18	2019
A law of data separation in deep learning H He, WJ Su Proceedings of the National Academy of Sciences 120 (36), e2221704120, 2023	16	2023
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	11	2020
Transfer learning via representation learning M Rostami, H He, M Chen, D Roth Federated and Transfer Learning, 233-257, 2022	7	2022
Understanding spatial relations through multiple modalities S Dan, H He, D Roth Proceedings of the 12th Language Resources and Evaluation Conference, 2368--2372, 2020	7	2020
Robust learning rate selection for stochastic optimization via splitting diagnostic M Sordello, N Dalmasso, H He, W Su Transactions on Machine Learning Research, 2024	5*	2024
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	4	2017

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