Dongxu Zhang

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Dong Wang (王东)Associate Professor @ Tsinghua UniversityVerified email at mails.tsinghua.edu.cn
Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
Michael BoratkoUMass AmherstVerified email at cs.umass.edu
Luke VilnisResearch Scientist, GoogleVerified email at cs.umass.edu
Xiang Lorraine LiPhD Student, UMass AmherstVerified email at cs.umass.edu
Shib Sankar DasguptaPhD in Computer Science, UMass AmherstVerified email at umass.edu
Zhichao YangUniversity of Massachusetts AmherstVerified email at umass.edu
Tianyi LuoCS PhD in NLP/ML, UC Santa CruzVerified email at ucsc.edu
Subhabrata MukherjeeMicrosoft ResearchVerified email at microsoft.com
Xin Luna DongHead Scientist at Facebook AR/VR AssistantVerified email at fb.com
Colin LockardAmazonVerified email at amazon.com
Sujian LIPeking Univ.Verified email at pku.edu.cn
Heng JiProfessor of Computer Science, University of Illinois Urbana-Champaign, Amazon ScholarVerified email at illinois.edu
Xiaocheng FengHarbin Institute of TechnologyVerified email at ir.hit.edu.cn
Pedram RooshenasUNC CharlotteVerified email at uncc.edu
Gopal SharmaPh.D. student, University of MassachusettsVerified email at cs.umass.edu
Nicholas MonathResearch Scientist, GoogleVerified email at google.com
Kenneth L. ClarksonIBM Almaden ResearchVerified email at us.ibm.com
Weiran XuAssociate professor of natural language processing, Beijing University of Posts and Telecommunications
Sunil MohanResearch Scientist, CZIVerified email at chanzuckerberg.com

Dongxu Zhang

University of Massachusetts Amherst

Verified email at cs.umass.edu - Homepage

Graph Representation Learning Natural Language Processing Machine Learning


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Relation classification via recurrent neural network D Zhang, D Wang arXiv preprint arXiv:1508.01006, 2015	322	2015
Smoothing the geometry of probabilistic box embeddings X Li, L Vilnis, D Zhang, M Boratko, A McCallum ICLR 2019, 2018	47	2018
Joint semantic relevance learning with text data and graph knowledge D Zhang, B Yuan, D Wang, R Liu Proceedings of the 3rd Workshop on Continuous Vector Space Models and their …, 2015	43	2015
Word embedding perturbation for sentence classification D Zhang, Z Yang arXiv preprint arXiv:1804.08166, 2018	40	2018
Learning from LDA using deep neural networks D Zhang, T Luo, D Wang International Conference on Computer Processing of Oriental Languages, 657-664, 2016	18	2016
Improving Local Identifiability in Probabilistic Box Embeddings SS Dasgupta, M Boratko, D Zhang, L Vilnis, XL Li, A McCallum Neurips 2020, 2020	17	2020
OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference D Zhang, S Mukherjee, C Lockard, XL Dong, A McCallum NAACL 2019, 2019	12	2019
PKU@ CLSciSumm-17: Citation Contextualization D Zhang, S Li Proc. of the 2nd Joint Workshop on Bibliometric-enhanced Information …, 2017	11	2017
Bitext Name Tagging for Cross-lingual Entity Annotation Projection D Zhang, B Zhang, X Pan, X Feng, H Ji, W Xu COLING, 461–470, 2016	10	2016
BUPT_PRIS at TREC 2014 knowledge base acceleration track Y Qi, Y Xu, D Zhang, W Xu Proceedings of the Twenty-Third Text Retrieval Conference (TREC 2014), 2014	5	2014
Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks A Rooshenas, D Zhang, G Sharma, A McCallum Neurips 2019, 2018	3	2018
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs M Boratko, D Zhang, N Monath, L Vilnis, KL Clarkson, A McCallum Neurips 2021, 2021	2	2021
Box-To-Box Transformation for Modeling Joint Hierarchies SS Dasgupta, X Li, M Boratko, D Zhang, A McCallum	2	2020
A Distant Supervision Corpus for Extracting Biomedical Relationships Between Chemicals, Diseases and Genes D Zhang, S Mohan, M Torkar, A McCallum LREC 2022, 2022		2022

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