| Hierarchical Graph Representation Learning with Differentiable Pooling R Ying, J You, C Morris, X Ren, WL Hamilton, J Leskovec NeurIPS 2018, 2018 | 774 | 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 | 602 | 2014 |
| GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models J You, R Ying, X Ren, WL Hamilton, J Leskovec ICML 2018, 2018 | 549 | 2018 |
| Dynamic network embedding by modeling triadic closure process L Zhou, Y Yang, X Ren, F Wu, Y Zhuang AAAI 2018, 2018 | 313 | 2018 |
| 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 | 313 | 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 | 267 | 2018 |
| 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 | 234 | 2017 |
| Mining Quality Phrases from Massive Text Corpora J Liu, J Shang, C Wang, X Ren, J Han SIGMOD 2015, 2015 | 224 | 2015 |
| Kagnet: Knowledge-aware graph networks for commonsense reasoning BY Lin, X Chen, J Chen, X Ren EMNLP 2019 (Oral), 2019 | 207 | 2019 |
| 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 | 188 | 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 | 156 | 2013 |
| Learning Named Entity Tagger using Domain-Specific Dictionary J Shang, L Liu, X Ren, X Gu, T Ren, J Han EMNLP 2018, 2018 | 151 | 2018 |
| ClusCite: Effective Citation Recommendation by Information Network-Based Clustering X Ren, J Liu, X Yu, U Khandelwal, Q Gu, L Wang, J Han KDD 2014, 821-830, 2014 | 134 | 2014 |
| AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding X Ren, W He, M Qu, L Huang, H Ji, J Han EMNLP 2016, 2016 | 128 | 2016 |
| 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 | 127 | 2017 |
| Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding X Ren, W He, M Qu, CR Voss, H Ji, J Han KDD 2016, 2016 | 125 | 2016 |
| 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 | 119 | 2019 |
| ClusType: Effective Entity Recognition and Typing by Relation Phrase-Based Clustering X Ren, A El-Kishky, C Wang, T Fangbo, C Voss, H Ji, J Han KDD 2015, 2015 | 118 | 2015 |
| Collaborative Filtering with Entity Similarity Regularization in Heterogeneous Information Networks X Yu, X Ren, Q Gu, Y Sun, J Han IJCAI-HINA, 2013 | 115 | 2013 |
| 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 | 92 | 2020 |
Jiawei HanAbel Bliss Professor of Computer Science, University of Illinoiscs.uiuc.edu의 이메일 확인됨
