Hao Cheng

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Citations	2784	2596
h-index	23	22
i10-index	36	34

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Jianfeng GaoMicrosoft Research, RedmondVerified email at microsoft.com
Xiaodong LiuMicrosoft, RedmondVerified email at microsoft.com
Hao FangMicrosoft Semantic MachinesVerified email at microsoft.com
Mari OstendorfProfessor, Electrical Engineering, University of WashingtonVerified email at uw.edu
Michel GalleySr. Principal Researcher at MicrosoftVerified email at acm.org
Xiaodong He (何晓冬)AI Lab, JD.COM (京东AI研究院); IEEE/CAAI FellowVerified email at ieee.org
Li DengChief AI Officer, Citadel (former)Verified email at ieee.org
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Yaoliang YuUniversity of WaterlooVerified email at uwaterloo.ca
Kai-Wei ChangAssociate Professor, UCLAVerified email at kwchang.net
Dale SchuurmansUniversity of Alberta, GoogleVerified email at cs.ualberta.ca
Baolin PengTencent AI LabVerified email at global.tencent.com
Xinhua ZhangUniversity of Illinois ChicagoVerified email at uic.edu
Furu WeiPartner Research Manager, Microsoft ResearchVerified email at microsoft.com
Li DongMicrosoft ResearchVerified email at microsoft.com
Chia-Hsuan (Michael) LeeUniversity of WashingtonVerified email at uw.edu
Margaret MitchellResearch Scientist, Hugging FaceVerified email at huggingface.co
Saurabh GuptaUniversity of Illinois Urbana-ChampaignVerified email at illinois.edu
Kaixin MaCarnegie Mellon universityVerified email at andrew.cmu.edu
Eric NybergProfessor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu

Hao Cheng

Microsoft Research

Verified email at microsoft.com - Homepage

Machine Learning Natural Language Processing AI for Health


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Domain-specific language model pretraining for biomedical natural language processing Y Gu, R Tinn, H Cheng*, M Lucas, N Usuyama, X Liu, T Naumann, ... ACM Transactions on Computing for Healthcare (HEALTH) 3 (1), 1-23, 2021	1124	2021
Language models for image captioning: The quirks and what works J Devlin, H Cheng, H Fang, S Gupta, L Deng, X He, G Zweig, M Mitchell ACL, 2015	322	2015
Adversarial training for large neural language models X Liu, H Cheng, P He, W Chen, Y Wang, H Poon, J Gao arXiv preprint arXiv:2004.08994, 2020	133	2020
Check your facts and try again: Improving large language models with external knowledge and automated feedback B Peng, M Galley, P He, H Cheng, Y Xie, Y Hu, Q Huang, L Liden, Z Yu, ... arXiv preprint arXiv:2302.12813, 2023	128	2023
Chameleon: Plug-and-play compositional reasoning with large language models P Lu, B Peng, H Cheng, M Galley, KW Chang, YN Wu, SC Zhu, J Gao NeurIPS, 2023	97	2023
Dialogue State Tracking with a Language Model using Schema-Driven Prompting CH Lee, H Cheng, M Ostendorf EMNLP, 2021	85	2021
Sounding Board: A User-Centric and Content-Driven Social Chatbot H Fang, H Cheng, M Sap, E Clark, A Holtzman, Y Choi, NA Smith, ... NAACL (demo), 2018	69	2018
Neurips 2020 efficientqa competition: Systems, analyses and lessons learned S Min, J Boyd-Graber, C Alberti, D Chen, E Choi, M Collins, K Guu, ... NeurIPS 2020 Competition and Demonstration Track, 86-111, 2021	58	2021
Bi-directional Attention with Agreement for Dependency Parsing H Cheng, H Fang, X He, J Gao, L Deng EMNLP, 2016	58	2016
Open-Domain Name Error Detection using a Multi-Task RNN H Cheng, H Fang, M Ostendorf EMNLP, 2015	49	2015
The microsoft toolkit of multi-task deep neural networks for natural language understanding X Liu, Y Wang, J Ji, H Cheng, X Zhu, E Awa, P He, W Chen, H Poon, ... ACL (demo), 2020	46	2020
Human parity on commonsenseqa: Augmenting self-attention with external attention Y Xu, C Zhu, S Wang, S Sun, H Cheng, X Liu, J Gao, P He, M Zeng, ... IJCAI, 2022	42	2022
Sounding board–university of washington’s alexa prize submission H Fang, H Cheng, E Clark, A Holtzman, M Sap, M Ostendorf, Y Choi, ... Alexa prize proceedings, 2017	41	2017
Fine-tuning large neural language models for biomedical natural language processing R Tinn, H Cheng, Y Gu, N Usuyama, X Liu, T Naumann, J Gao, H Poon Patterns 4 (4), 2023	39	2023
UnitedQA: A Hybrid Approach for Open Domain Question Answering H Cheng, Y Shen, X Liu, P He, W Chen, J Gao ACL, 2021	35	2021
A survey of knowledge-intensive nlp with pre-trained language models D Yin, L Dong, H Cheng, X Liu, KW Chang, F Wei, J Gao arXiv preprint arXiv:2202.08772, 2022	34	2022
Open Domain Question Answering with A Unified Knowledge Interface K Ma, H Cheng, X Liu, E Nyberg, J Gao ACL, 2022	33*	2022
Scalable and sound low-rank tensor learning H Cheng, Y Yu, X Zhang, E Xing, D Schuurmans AISTATS, 2016	32	2016
Knowledge-rich self-supervision for biomedical entity linking S Zhang, H Cheng, S Vashishth, C Wong, J Xiao, X Liu, T Naumann, ... EMNLP (Findings), 2022	28	2022
Posterior differential regularization with f-divergence for improving model robustness H Cheng, X Liu, L Pereira, Y Yu, J Gao NAACL, 2021	26	2021

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