Hongyu Guo

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Xiaodan ZhuECE & Ingenuity Labs Research Institute, Queen's University, CanadaVerified email at queensu.ca
Jian Tang (唐建）Associate Professor, Mila-Quebec AI Institute, HEC Montréal, Canada CIFAR AI ChairVerified email at hec.ca
Shengchao LiuUC Berkeley & CaltechVerified email at berkeley.edu
Eric PaquetNational Research CouncilVerified email at nrc-cnrc.gc.ca
Martin Renqiang MinDepartment Head of Machine Learning, NEC Labs AmericaVerified email at nec-labs.com
Colin CherryGoogle ResearchVerified email at google.com
Saif M. MohammadSenior Research Scientist (Emotions and Language, Affective Science, NLP), National Research CouncilVerified email at nrc-cnrc.gc.ca
Svetlana KiritchenkoNational Research Council CanadaVerified email at nrc-cnrc.gc.ca
Boxing ChenHuawei Technologies CanadaVerified email at alibaba-inc.com
Chaowei XiaoUniversity of Wisconsin - MadisonVerified email at umich.edu
Anima AnandkumarCalifornia Institute of Technology and NVIDIAVerified email at caltech.edu
Dongjin SongAssistant Professor, Computer Science and Engineering, University of ConnecticutVerified email at uconn.edu
Michelangelo CeciUniversity of Bari "A. Moro"Verified email at di.uniba.it
Donato MalerbaProfessor of Computer Science, Dept. of Computer Science, University of Bari "Aldo Moro", ItalyVerified email at uniba.it
Chang ShuNational Research Council of CanadaVerified email at nrc-cnrc.gc.ca
Annalisa AppiceResearcher of Computer Science, University of Bari Aldo MoroVerified email at di.uniba.it
Omar M. YaghiJames and Neeltje Tretter Professor of Chemistry, UC BerkeleyVerified email at berkeley.edu
Jennifer ChayesProfessor, UC BerkeleyVerified email at jenniferchayes.com
Yaoliang YuUniversity of WaterlooVerified email at uwaterloo.ca

Hongyu Guo

Senior Research Scientist@NRC Canada, Adjunct Professor@University of Ottawa

Verified email at uottawa.ca - Homepage

machine learning and deep learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Learning from imbalanced data sets with boosting and data generation: the databoost-im approach H Guo, HL Viktor ACM Sigkdd Explorations Newsletter 6 (1), 30-39, 2004	789	2004
Generating Text with Deep Reinforcement Learning H Guo https://arxiv.org/abs/1510.09202, 2015	492*	2015
Long short-term memory over tree structures X Zhu, P Sobhani, H Guo ICML2015, 2015	468*	2015
Mixup as locally linear out-of-manifold regularization H Guo, Y Mao, R Zhang AAAI, 2019	284	2019
Augmenting data with mixup for sentence classification: An empirical study H Guo, Y Mao, R Zhang arXiv preprint arXiv:1905.08941, 2019	208	2019
Pre-training molecular graph representation with 3D geometry S Liu, H Wang, W Liu, J Lasenby, H Guo, J Tang ICLR2022, 2021	158	2021
Self-supervised graph-level representation learning with local and global structure M Xu, H Wang, B Ni, H Guo, J Tang International Conference on Machine Learning, 11548-11558, 2021	135	2021
A graph to graphs framework for retrosynthesis prediction C Shi, M Xu, H Guo, M Zhang, J Tang International conference on machine learning, 8818-8827, 2020	123	2020
An empirical study on the effect of negation words on sentiment X Zhu, H Guo, S Mohammad, S Kiritchenko Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014	86	2014
Nonlinear mixup: Out-of-manifold data augmentation for text classification H Guo Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4044-4051, 2020	85	2020
The unreasonable effectiveness of word representations for twitter named entity recognition C Cherry, H Guo Proceedings of the 2015 Conference of the North American Chapter of the …, 2015	74	2015
Multirelational classification: a multiple view approach H Guo, HL Viktor Knowledge and Information Systems 17, 287-312, 2008	57	2008
Syntax encoding with application in authorship attribution R Zhang, Z Hu, H Guo, Y Mao Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018	55	2018
Dag-structured long short-term memory for semantic compositionality X Zhu, P Sobhani, H Guo Proceedings of the 2016 conference of the north american chapter of the …, 2016	50	2016
Demonstration of feasibility of x-ray free electron laser studies of dynamics of nanoparticles in entangled polymer melts J Carnis, W Cha, J Wingert, J Kang, Z Jiang, S Song, M Sikorski, A Robert, ... Scientific reports 4 (1), 6017, 2014	48	2014
Diffeomorphic point matching H Guo, A Rangarajan, S Joshi Handbook of mathematical models in computer vision, 205-219, 2006	44	2006
Boosting with data generation: improving the classification of hard to learn examples H Guo, HL Viktor International Conference on Industrial, Engineering and Other Applications …, 2004	40	2004
Dynamic graph convolutional networks for entity linking J Wu, R Zhang, Y Mao, H Guo, M Soflaei, J Huai Proceedings of The Web Conference 2020, 1149-1159, 2020	35	2020
Accelerated Continuous Conditional Random Fields For Load Forecasting (extended abstract) H Guo ICDE, 2016	35*	2016
Experimental study of the dimensionality of black-eye patterns C Zhou, H Guo, Q Ouyang Physical Review E 65 (3), 036118, 2002	33	2002

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