Sean (Xiang) Ren

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Jiawei HanAbel Bliss Professor of Computer Science, University of IllinoisDirección de correo verificada de cs.uiuc.edu
Bill Yuchen LinAffiliate Assistant Professor, University of WashingtonDirección de correo verificada de uw.edu
Yejin ChoiStanford University / NVIDIADirección de correo verificada de stanford.edu
Xisen JinUniversity of Southern CaliforniaDirección de correo verificada de usc.edu
Qinyuan YeUniversity of Southern CaliforniaDirección de correo verificada de usc.edu
Pei ZhouSenior Applied Scientist, MicrosoftDirección de correo verificada de microsoft.com
Soumya SanyalUniversity of Southern CaliforniaDirección de correo verificada de usc.edu
Yizhou SunProfessor, Computer Science, UCLADirección de correo verificada de cs.ucla.edu
Jure LeskovecProfessor of Computer Science, Stanford UniversityDirección de correo verificada de cs.stanford.edu
William L HamiltonAssistant Professor of Computer Science, McGill University and MilaDirección de correo verificada de cs.mcgill.ca
Robin JiaUniversity of Southern CaliforniaDirección de correo verificada de usc.edu
Scott Wen-tau YihMeta FAIRDirección de correo verificada de meta.com
Daniel McFarlandProfessor of Education, Stanford UniversityDirección de correo verificada de stanford.edu

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Sean (Xiang) Ren

Viterbi Early Career Chair & Associate Professor, University of Southern California

Dirección de correo verificada de usc.edu - Página principal

Natural Language Processing Commonsense Reasoning Machine Learning Information Extraction


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Hierarchical Graph Representation Learning with Differentiable Pooling R Ying, J You, C Morris, X Ren, WL Hamilton, J Leskovec NeurIPS 2018, 2018	1951	2018
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022	1291	2022
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models J You, R Ying, X Ren, WL Hamilton, J Leskovec ICML 2018, 2018	1137	2018
Personalized Entity Recommendation: A Heterogeneous Information Network Approach X Yu, X Ren, Y Sun, Q Gu, B Sturt, U Khandelwal, B Norick, J Han WSDM 2014, 2014	933	2014
Kagnet: Knowledge-aware graph networks for commonsense reasoning BY Lin, X Chen, J Chen, X Ren EMNLP 2019 (Oral), 2019	571	2019
Dynamic network embedding by modeling triadic closure process L Zhou, Y Yang, X Ren, F Wu, Y Zhuang AAAI 2018, 2018	568	2018
Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs W Jin, M Qu, X Jin, X Ren EMNLP 2020, 2020	474*	2020
Empower Sequence Labeling with Task-Aware Neural Language Model L Liu, J Shang, X Ren, F Xu, H Gui, J Peng, J Han AAAI 2018, 2018	454	2018
Automated phrase mining from massive text corpora J Shang, J Liu, M Jiang, X Ren, CR Voss, J Han IEEE TKDE 30 (10), 1825-1837, 2018	408	2018
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning BY Lin, M Shen, Y Xing, P Zhou, X Ren Findings of EMNLP 2020, 2020	391	2020
CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases X Ren, Z Wu, W He, M Qu, CR Voss, H Ji, TF Abdelzaher, J Han WWW 2017, 2017	364	2017
Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning X Wang, Y Zhang, X Ren, Y Zhang, M Zitnik, J Shang, C Langlotz, J Han Bioinformatics, 2018	325	2018
Faith and fate: Limits of transformers on compositionality N Dziri, X Lu, M Sclar, XL Li, L Jiang, BY Lin, S Welleck, P West, ... Advances in Neural Information Processing Systems 36, 2024	319	2024
Jointly learning explainable rules for recommendation with knowledge graph W Ma, M Zhang, Y Cao, W Jin, C Wang, Y Liu, S Ma, X Ren The world wide web conference, 1210-1221, 2019	285	2019
Mining Quality Phrases from Massive Text Corpora J Liu, J Shang, C Wang, X Ren, J Han SIGMOD 2015, 2015	280	2015
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering Y Feng, X Chen, BY Lin, P Wang, J Yan, X Ren EMNLP 2020, 2020	276	2020
Learning Named Entity Tagger using Domain-Specific Dictionary J Shang, L Liu, X Ren, X Gu, T Ren, J Han EMNLP 2018, 2018	268	2018
Recommendation in Heterogeneous Information Networks with Implicit User Feedback X Yu, X Ren, Y Sun, B Sturt, U Khandelwal, Q Gu, B Norick, J Han RecSys 2013, 2013	249	2013
Llm-blender: Ensembling large language models with pairwise ranking and generative fusion D Jiang, X Ren, BY Lin arXiv preprint arXiv:2306.02561, 2023	202	2023
An attention-based collaboration framework for multi-view network representation learning M Qu, J Tang, J Shang, X Ren, M Zhang, J Han CIKM, 1767-1776, 2017	201	2017

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