Hao Cheng

Cited by

	All	Since 2016
Citations	563	518
h-index	12	10
i10-index	12	12

140

105

2013201420152016201720182019202020215 14 18 54 89 111 115 125 23

Co-authors

Hao FangMicrosoft Semantic MachinesVerified email at microsoft.com
Mari OstendorfProfessor, Electrical Engineering, University of WashingtonVerified email at uw.edu
Jianfeng GaoMicrosoft Research, RedmondVerified email at microsoft.com
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, CitadelVerified email at ieee.org
Dale SchuurmansResearch Scientist, Google Brain / Professor, University of AlbertaVerified email at cs.ualberta.ca
Xiaodong LiuMicrosoft Research, RedmondVerified email at microsoft.com
Xinhua ZhangUniversity of Illinois at ChicagoVerified email at uic.edu
Yaoliang YuUniversity of WaterlooVerified email at uwaterloo.ca
Margaret MitchellStaff Research Scientist, GoogleVerified email at google.com
Saurabh GuptaUniversity of Illinois Urbana-ChampaignVerified email at illinois.edu
Hoifung PoonSenior Director, Biomedical NLP, Microsoft ResearchVerified email at microsoft.com
Yejin ChoiUniversity of Washington / Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Maarten SapUniversity of WashingtonVerified email at cs.washington.edu
Elizabeth ClarkUniversity of WashingtonVerified email at cs.washington.edu
Ari HoltzmanGraduate Student, University of WashingtonVerified email at cs.washington.edu
Özlem AslanResearch Scientist at DeepMindVerified email at google.com
Csaba SzepesvariDeepMind & Department of Computing Science, University of AlbertaVerified email at cs.ualberta.ca
Eric XingProfessor of Machine Learning, Language Technology, Computer Science, Cargenie Mellon UniversityVerified email at cs.cmu.edu

Hao Cheng

Microsoft Research

Verified email at microsoft.com - Homepage

Machine Learning Natural Language Processing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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 Annual Meeting of the Association for Computational Linguistics (ACL), 2015	241	2015
Bi-directional Attention with Agreement for Dependency Parsing H Cheng, H Fang, X He, J Gao, L Deng Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016	53	2016
Open-Domain Name Error Detection using a Multi-Task RNN H Cheng, H Fang, M Ostendorf Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015	36	2015
Sounding Board: A User-Centric and Content-Driven Social Chatbot H Fang, H Cheng, M Sap, E Clark, A Holtzman, Y Choi, NA Smith, ... Conference of the North American Chapter of the Association for …, 2018	31	2018
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	31	2017
Domain-specific language model pretraining for biomedical natural language processing Y Gu, R Tinn, H Cheng, M Lucas, N Usuyama, X Liu, T Naumann, J Gao, ... arXiv preprint arXiv:2007.15779, 2020	25	2020
Convex Two-Layer Modeling O Aslan, H Cheng, D Schuurmans, X Zhang Neural Information Processing Systems (NeurIPS), 2013	24	2013
Characterizing the representer theorem Y Yu, H Cheng, D Schuurmans, C Szepesvári International Conference on Machine Learning (ICML), 2013	21	2013
Scalable and sound low-rank tensor learning H Cheng, Y Yu, X Zhang, E Xing, D Schuurmans International Conference on Artificial Intelligence and Statistics (AISTATS …, 2016	18	2016
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	17	2020
A Factored Neural Network Model for Characterizing Online Discussions in Vector Space H Cheng, H Fang, M Ostendorf Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017	16	2017
Approximate low-rank tensor learning Y Yu, H Cheng, X Zhang NIPS workshop on optimization for machine learning, 2014	12	2014
Convex Relaxations of Bregman Divergence Clustering H Cheng, X Zhang, D Schuurmans Conference on Uncertainty in Artificial Intelligence (UAI), 2013	8	2013
A dynamic speaker model for conversational interactions H Cheng, H Fang, M Ostendorf Proceedings of the 2019 Conference of the North American Chapter of the …, 2019	7	2019
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, ... arXiv preprint arXiv:2002.07972, 2020	6	2020
Learning latent local conversation modes for predicting community endorsement in online discussions H Fang, H Cheng, M Ostendorf International Workshop on Natural Language Processing for Social Media …, 2016	6	2016
Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering H Cheng, MW Chang, K Lee, K Toutanova Annual Meeting of the Association for Computational Linguistics (ACL), 2020	4	2020
Learning latent local conversation modes for predicting comment endorsement in online discussions H Fang, H Cheng, M Ostendorf Proceedings of The Fourth International Workshop on Natural Language …, 2016	4	2016
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned S Min, J Boyd-Graber, C Alberti, D Chen, E Choi, M Collins, K Guu, ... arXiv preprint arXiv:2101.00133, 2021	2	2021
An improved framework of distributed video codec Y Wang, B Li, Q Huang, H Cheng International Conference on Telecommunications (ICT), 2011	1	2011

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