Dr. Wenpeng Yin

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Hinrich SchützeUniversity of MunichVerified email at cis.lmu.de
Dan RothProfessor of Computer Science, University of PennsylvaniaVerified email at seas.upenn.edu
Caiming XiongSalesforce ResearchVerified email at salesforce.com
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
Richard Socheryou.comVerified email at stanford.edu
Dragomir RadevProfessor, Computer Science, Yale UniversityVerified email at yale.edu
Muhao ChenAssistant Professor of Computer Science, University of California, DavisVerified email at ucdavis.edu
Lifang HeAssistant Professor of Computer Science, Lehigh UniversityVerified email at lehigh.edu
Chris Callison-BurchProfessor, University of PennsylvaniaVerified email at upenn.edu
Daniel KhashabiJohns Hopkins UniversityVerified email at jhu.edu
Slobodan VuceticProfessor of Computer Science, Temple UniversityVerified email at temple.edu
Lifu HuangAssistant Professor, UC DavisVerified email at ucdavis.edu
Xi Victoria LinMetaVerified email at fb.com
Ming Zhou (周明)Chief Scientist at Sinovation, ACL president (2019), VP of CCF(2020-2024)Verified email at chuangxin.com
Yadollah YaghoobzadehUniversity of TehranVerified email at ut.ac.ir
Marie-Francine MoensProfessor of Computer Science KU LeuvenVerified email at cs.kuleuven.be
Hongyuan MeiToyota Technology Institute at Chicago, Johns Hopkins University, The University of ChicagoVerified email at ttic.edu
Kai-Wei ChangAssociate Professor, UCLAVerified email at kwchang.net
Katharina von der WenseJohannes Gutenberg University Mainz & University of Colorado BoulderVerified email at colorado.edu

Dr. Wenpeng Yin

Assistant Professor at Penn State University

Verified email at psu.edu - Homepage

AI for Research Human-centered AI NLP Computer Vision Large Language Models


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Comparative Study of CNN and RNN for Natural Language Processing W Yin, K Kann, M Yu, H Schütze arXiv preprint arXiv:1702.01923, 2017	1474	2017
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs W Yin, H Schütze, B Xiang, B Zhou Transactions of the Association for Computational Linguistics, 2016	1189	2016
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach W Yin, J Hay, D Roth EMNLP, 3914-3923, 2019	637	2019
Improved Neural Relation Detection for Knowledge Base Question Answering M Yu, W Yin, KS Hasan, C Santos, B Xiang, B Zhou ACL, 571-581, 2017	382	2017
Convolutional Neural Network for Paraphrase Identification W Yin, H Schütze NAACL, 901--911, 2015	282	2015
Simple Question Answering by Attentive Convolutional Neural Network W Yin, M Yu, B Xiang, B Zhou, H Schütze COLING, 1746-1756, 2016	236	2016
Multichannel Variable-Size Convolution for Sentence Classification W Yin, H Schütze CoNLL, 204--214, 2015	202	2015
Learning Word Meta-Embeddings W Yin, H Schütze ACL, 1351--1360, 2016	187*	2016
COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization A Esteva, A Kale, R Paulus, K Hashimoto, W Yin, D Radev, R Socher NPJ digital medicine 4 (1), 68, 2021	166	2021
Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks L Sun, C Xia, W Yin, T Liang, PS Yu, L He COLING, 3436-3440, 2020	155	2020
Optimizing Sentence Modelling and Selection for Document Summarization W Yin, Y Pei IJCAI, 1383--1989, 2015	138	2015
Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT L Sun, K Hashimoto, W Yin, A Asai, J Li, P Yu, C Xiong Arxiv, 2020	133	2020
Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims S Chen, D Khashabi, W Yin, C Callison-Burch, D Roth NAACL, 542-557, 2019	126	2019
Attention-based convolutional neural network for machine comprehension W Yin, S Ebert, H Schütze NAACL HCQA workshop, 15-21, 2016	117	2016
Meta-learning for few-shot natural language processing: A survey W Yin arXiv preprint arXiv:2007.09604, 2020	90	2020
MultiGranCNN: An Architecture for General Matching of Text Chunks on Multiple Levels of Granularity W Yin, H Schütze ACL 1, 63--73, 2015	90	2015
DocNLI: A Large-scale Dataset for Document-level Natural Language Inference W Yin, D Radev, C Xiong ACL, 4913-4922, 2021	89	2021
TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification W Yin, D Roth EMNLP, 105-114, 2018	88	2018
Universal natural language processing with limited annotations: Try few-shot textual entailment as a start W Yin, NF Rajani, D Radev, R Socher, C Xiong EMNLP, 8229-8239, 2020	74	2020
Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms W Yin, H Schütze Transactions of the Association for Computational Linguistics, 2017	67	2017

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