Hangfeng He

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Dan RothProfessor of Computer Science, University of PennsylvaniaVerified email at seas.upenn.edu
Weijie SuAssociate Professor, University of PennsylvaniaVerified email at wharton.upenn.edu
Qiang NingJump TradingVerified email at jumptrading.com
Cong FangPeking UniversityVerified email at pku.edu.cn
Hongming ZhangSenior Researcher, Tencent AI Lab Seattle. && Ph.D., HKUSTVerified email at connect.ust.hk
Shuxiao ChenUniversity of PennsylvaniaVerified email at wharton.upenn.edu
Bonnie WebberProfessor, School of Informatics, University of EdinburghVerified email at ed.ac.uk
Federico Fancellu3M, DublinVerified email at mmm.com
Zhun DengAssistant Professor, CS@UNC Chapel HillVerified email at unc.edu
Mingyuan ZhangLinkedIn CorporationVerified email at linkedin.com
Ido DaganProfessor, Computer Science Department, Bar-Ilan UniversityVerified email at cs.biu.ac.il
Ayal KleinPostdoc at Queen Marry UniversIty of London and Bar-Ilan UniversityVerified email at macs.biu.ac.il
Matteo SordelloWharton School, University of PennsylvaniaVerified email at wharton.upenn.edu
Soham DanSenior Research Scientist, MicrosoftVerified email at microsoft.com
Muhao ChenAssistant Professor of Computer Science, University of California, DavisVerified email at ucdavis.edu
Mohammad RostamiUniversity of Southern CaliforniaVerified email at seas.upenn.edu
Tin D. NguyenGraduate student, MITVerified email at mit.edu
Kaifu WangUniversity of PennsylvaniaVerified email at sas.upenn.edu
Pinxin LiuUniveristy of RochesterVerified email at u.rochester.edu
Hang HuaUniversity of RochesterVerified email at cs.rochester.edu

Hangfeng He

University of Rochester

Verified email at rochester.edu - Homepage

Natural Language Processing Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	197	2021
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	173	2017
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	165	2017
Rethinking with retrieval: Faithful large language model inference H He, H Zhang, D Roth arXiv preprint arXiv:2301.00303, 2022	149	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	50	2017
The local elasticity of neural networks H He, WJ Su International Conference on Learning Representations, 2020	48	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	46	2018
Toward better generalization bounds with locally elastic stability Z Deng, H He, W Su International Conference on Machine Learning, 2590-2600, 2021	41	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	35	2020
A law of data separation in deep learning H He, WJ Su Proceedings of the National Academy of Sciences 120 (36), e2221704120, 2023	34	2023
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	31	2020
Weighted Training for Cross-Task Learning S Chen, K Crammer, H He, D Roth, WJ Su International Conference on Learning Representations, 2022	30	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	25	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	19	2019
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	15*	2021
Robust learning rate selection for stochastic optimization via splitting diagnostic M Sordello, N Dalmasso, H He, W Su Transactions on Machine Learning Research, 2024	11*	2024
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
Socreval: Large language models with the socratic method for reference-free reasoning evaluation H He, H Zhang, D Roth Findings of the Association for Computational Linguistics: NAACL 2024, 2736 …, 2024	9	2024
Transfer learning via representation learning M Rostami, H He, M Chen, D Roth Federated and Transfer Learning, 233-257, 2022	9	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	9	2020

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