| Hierarchical Graph Representation Learning with Differentiable Pooling R Ying, J You, C Morris, X Ren, WL Hamilton, J Leskovec NeurIPS 2018, 2018 | 1214 | 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 | 742 | 2014 |
| GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models J You, R Ying, X Ren, WL Hamilton, J Leskovec ICML 2018, 2018 | 735 | 2018 |
| Dynamic network embedding by modeling triadic closure process L Zhou, Y Yang, X Ren, F Wu, Y Zhuang AAAI 2018, 2018 | 426 | 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 | 372 | 2018 |
| Kagnet: Knowledge-aware graph networks for commonsense reasoning BY Lin, X Chen, J Chen, X Ren EMNLP 2019 (Oral), 2019 | 321 | 2019 |
| 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 | 319 | 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 | 281 | 2017 |
| Mining Quality Phrases from Massive Text Corpora J Liu, J Shang, C Wang, X Ren, J Han SIGMOD 2015, 2015 | 256 | 2015 |
| 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 | 242 | 2018 |
| Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs W Jin, M Qu, X Jin, X Ren EMNLP 2020, 2020 | 203* | 2020 |
| Learning Named Entity Tagger using Domain-Specific Dictionary J Shang, L Liu, X Ren, X Gu, T Ren, J Han EMNLP 2018, 2018 | 201 | 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 | 194 | 2020 |
| 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 | 191 | 2013 |
| 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 | 169 | 2022 |
| 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 | 168 | 2019 |
| 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 | 162 | 2017 |
| 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 | 148 | 2016 |
| 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 | 147 | 2014 |
| 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 | 142 | 2016 |
Jiawei HanAbel Bliss Professor of Computer Science, University of Illinois在 cs.uiuc.edu 的电子邮件经过验证
