Dongxu Zhang

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Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
Dong Wang (王东)Associate Professor @ Tsinghua UniversityVerified email at mails.tsinghua.edu.cn
Michael BoratkoResearch Scientist, GoogleVerified email at google.com
Luke VilnisResearch Scientist, Google DeepMindVerified email at google.com
Xiang Lorraine LiAssistant Professor, University of PittsburghVerified email at pitt.edu
Shib Sankar DasguptaPhD in Computer Science, UMass AmherstVerified email at umass.edu
Tianyi LuoAmazon Stores Foundational AIVerified email at amazon.com
Subhabrata MukherjeeChief Scientist, Hippocratic AIVerified email at hippocraticai.com
Xin Luna DongACM / IEEE Fellow, Principal Scientist at MetaVerified email at fb.com
Colin LockardAmazonVerified email at amazon.com
Dhruvesh PatelPhD Student, College of Information and Computer Sciences, University of Massachusetts AmherstVerified email at umass.edu
Jay-Yoon LeeAsisstant Professor at Seoul National University, Postdoc at UMass, PhD at CMUVerified email at snu.ac.kr
EunJeong HwangUniversity of British ColumbiaVerified email at cs.ubc.ca
Heng JiProfessor, Siebel School of Computing and Data Science, AICE Director, UIUC, Amazon ScholarVerified email at illinois.edu
Xiaocheng FengHarbin Institute of TechnologyVerified email at ir.hit.edu.cn
Sujian LIPeking Univ.Verified email at pku.edu.cn
Nicholas MonathResearch Scientist, GoogleVerified email at google.com
Kenneth L. ClarksonIBM Almaden ResearchVerified email at us.ibm.com
Sunil MohanResearch Scientist, CZIVerified email at chanzuckerberg.com
Pedram RooshenasUniversity of Illinois ChicagoVerified email at uic.edu

Dongxu Zhang

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natural language processing graph representation learning machine learning


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Relation classification via recurrent neural network D Zhang, D Wang arXiv preprint arXiv:1508.01006, 2015	466	2015
Smoothing the geometry of probabilistic box embeddings X Li, L Vilnis, D Zhang, M Boratko, A McCallum ICLR 2019, 2018	98	2018
Improving Local Identifiability in Probabilistic Box Embeddings SS Dasgupta, M Boratko, D Zhang, L Vilnis, XL Li, A McCallum Neurips 2020, 2020	58	2020
Word embedding perturbation for sentence classification D Zhang, Z Yang arXiv preprint arXiv:1804.08166, 2018	51	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	48	2015
Learning from LDA using deep neural networks D Zhang, T Luo, D Wang International Conference on Computer Processing of Oriental Languages, 657-664, 2016	27	2016
OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference D Zhang, S Mukherjee, C Lockard, XL Dong, A McCallum NAACL 2019, 2019	23	2019
Event-Event Relation Extraction using Probabilistic Box Embedding EJ Hwang, JY Lee, T Yang, D Patel, D Zhang, A McCallum ACL 2022, 2022	20	2022
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	13	2016
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	12	2021
PKU@ CLSciSumm-17: Citation Contextualization D Zhang, S Li Proc. of the 2nd Joint Workshop on Bibliometric-enhanced Information …, 2017	12	2017
A Distant Supervision Corpus for Extracting Biomedical Relationships Between Chemicals, Diseases and Genes D Zhang, S Mohan, M Torkar, A McCallum LREC 2022, 2022	11	2022
Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks A Rooshenas, D Zhang, G Sharma, A McCallum Neurips 2019, 2018	10	2018
Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings D Zhang, M Boratko, CN Musco, A McCallum NeurIPS 2022, 2022	6	2022
Box-To-Box Transformation for Modeling Joint Hierarchies SS Dasgupta, X Li, M Boratko, D Zhang, A McCallum	6	2020
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
Enhancing Hallucination Detection through Perturbation-Based Synthetic Data Generation in System Responses D Zhang, V Gangal, BM Lattimer, Y Yang ACL 2024 findings, 2024		2024
Graph Representation Learning with Box Embeddings D Zhang University of Massachusetts Amherst, 2023		2023
Enhanced Distant Supervision with State-Change Information for Relation Extraction J Shah, D Zhang, S Brody, A McCallum LREC 2022, 2022		2022

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