Sean (Xiang) Ren

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Book

• Mining Structures of Factual Knowledge from Text: An Effort-Light Approach
  Xiang Ren, Jiawei Han.
  Synthesis Lectures on Data Mining and Knowledge Discovery,
  Morgan & Claypool Publishers.
  

Publications

[Google Scholar | DBLP]

2019

• Recurrent Event Network for Reasoning over Temporal Knowledge Graphs
  Woojeong Jin, Changlin Zhang, Pedro Szekely, Xiang Ren.
  Short version accepted to ICLR Workshop on Representation Learning on Graphs and Manifolds (ICLR-RLGM), 2019.
  Github | Survey
  

• Posterior-regularized REINFORCE for Instance Selection in Distant Supervision
  Qi Zhang, Siliang Tang, Fei Wu, Siliang Pu, Yueting Zhuang, Xiang Ren.
  The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL, short paper), 2019.
  Github
  

• Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering
  Bo Chen, Xiaotao Gu, Yufeng Hu, Siliang Tang, Yueting Zhuang, Xiang Ren.
  The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2019.
  Github
  

• Learning Dual Retrieval Module for Semi-supervised Relation Extraction
  Hongtao Lin, Jun Yan, Qu Meng and Xiang Ren.
  The Web Conference (WWW), 2019.
  Github
  

• Jointly Learning Explainable Rules for Recommendation with Knowledge Graph
  Weizhi Ma, Min Zhang, Yue Cao, Woojeong Jin, Chenyang Wang, Yiqun Liu, Shaoping Ma, and Xiang Ren.
  The Web Conference (WWW), 2019. Code coming soon.
  

• Mining Entity Synonyms with Efficient Neural Set Generation
  Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian Sadler, Jiawei Han.
  The AAAI Conference on Artificial Intelligence (AAAI), 2019.
  Github | Data | Slide
  

• Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction
  Yujin Yuan, Liyuan Liu, Siliang Tang, Zhongfei Zhang, Yueting Zhuang, Fei Wu, Xiang Ren.
  The AAAI Conference on Artificial Intelligence (AAAI), 2019.
  Github
  

• Integrating Local Context and Global Cohesiveness for Open Information Extraction
  Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Ahmed El-Kishky, Jiawei Han.
  ACM International Conference on Web Search and Data Mining (WSDM), 2019.
  Project | Github
  (Short version got Best Poster Award runner-up at WWW'18)

2018

• Hierarchical Graph Representation Learning with Differentiable Pooling
  Rex Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton, Jure Leskovec.
  Annual Conference on Neural Information Processing Systems (NIPS), 2018.
  ArXiv | Github
  (Spotlight at NIPS'18; Short version got spotlighted on KDD'18 Deep Learning Day)
  

• GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Model
  Rex Ying, Jiaxuan You, Xiang Ren, William L. Hamilton, Jure Leskovec.
  International Conference on Machine Learning (ICML), 2018.
  ArXiv | Github
  

• Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling
  Lucas Liu, Xiang Ren, Jingbo Shang, Jian Peng, Jiawei Han.
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018. Blog | Github
  

• Learning Named Entity Tagger using Domain-Specific Dictionary
  Jingbo Shang, Lucas Liu, Xiaotao Gu, Xiang Ren, Teng Ren, Jiawei Han.
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018.
  Blog | Github
  

• End-to-End Reinforcement Learning for Automatic Taxonomy Induction
  Yuning Mao, Xiang Ren, Jiaming Shen, Xiaotao Gu, Jiawei Han.
  Annual Meeting of the Association for Computational Linguistics (ACL), 2018.
  Github

• Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning
  Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis Langlotz, Jiawei Han.
  Bioinformatics, Oxford Academic.
  Project | Github | arXiv | bioRxiv | supplementary material
  

• HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion
  Jiaming Shen, Zeqiu Wu, Dongming Lei, Chao Zhang, Xiang Ren, Michelle T. Vanni, Brian M. Sadler, Jiawei Han.
  ACM SIGKDD International Conference on Knowledge (KDD), 2018.
  Github

• Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning
  Meng Qu, Xiang Ren, Yu Zhang, Jiawei Han.
  International World-Wide Web Conference (WWW), 2018.
  Github

• Indirect Supervision for Relation Extraction using Question-Answer Pairs
  Ellen Wu, Xiang Ren, Frank Xu, Ji Li, Jiawei Han.
  ACM International Conference on Web Search and Data Mining (WSDM), 2018.
  Github | Blog

• Empower Sequence Labeling with Task-Aware Neural Language Model
  Lucas Liu, Jingbo Shang, Xiang Ren, Frank Xu, Huan Gui, Jian Peng, Jiawei Han.
  The AAAI Conference on Artificial Intelligence (AAAI), 2018.
  Github | Blog | Documents

• Dynamic Network Embedding by Modeling Triadic Closure Process
  Lekui Zhou, Yang Yang, Xiang Ren, Fei Wu, Yueting Zhuang.
  The AAAI Conference on Artificial Intelligence (AAAI), 2018.
  Github | Blog

• Open-Schema Event Profiling for Massive News Corpora
  Quan Yuan, Xiang Ren, Wenqi He, Chao Zhang, Xinhe Geng, Lifu Huang, Heng Ji, Chin-Yew Lin, and Jiawei Han.
  ACM Conference on Information and Knowledge Management (CIKM), 2018.

• Automated Phrase Mining from Massive Text Corpora
  Jingbo Shang, Jialu Liu, Meng Jiang, Xiang Ren, Clare R Voss, Jiawei Han.
  IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018.
  Github

2017

• Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach
  Liyuan Liu*, Xiang Ren*, Qi Zhu, Shi Zhi, Huan Gui, Heng Ji, Jiawei Han.
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017. Github | Project

• Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences
  Xiang Ren, J. Shen, M. Qu, X. Wang, Z. Wu, Q. Zhu, M. Jiang, F. Tao, S. Sinha, D. Liem, P. Ping, R. Weinshilboum, J. Han,
  Annual Meeting of the Association for Computational Linguistics (ACL), 2017. (System demo)

• Automatic Synonym Discovery with Knowledge Bases
  Meng Qu, Xiang Ren, Jiawei Han.
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2017. Github

• MetaPAD: Meta Patten Discovery from Massive Text Corpora
  Meng Jiang, Jingbo Shang, Taylor Cassidy, Xiang Ren, Lance Kaplan, Timothy Hanratty, Jiawei Han.
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2017. Github

• CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases
  Xiang Ren, Zeqiu Wu, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji,
  Tarek F. Abdelzaher, Jiawei Han.
  International World-Wide Web Conference (WWW), 2017.
  Github
  (short version got in SIGMOD 2017 Research Competition finalist)
  

• Comparative Document Analysis for Large Text Corpora
  Xiang Ren, Yuanhua Lv, Kuansan Wang, Jiawei Han.
  ACM International Conference on Web Search and Data Mining (WSDM), 2017.

• An Attention-based Collaboration Framework for Multi-View Network Representation Learning
  Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han.
  ACM Conference on Information and Knowledge Management (CIKM), 2017.

2016 and earlier

• AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding
  Xiang Ren*, Wenqi He*, Meng Qu, Lifu Huang, Heng Ji, Jiawei Han.
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016. Github | Slides *Equal contribution

• Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding
  Xiang Ren*, Wenqi He*, Meng Qu, Heng Ji, Clare R. Voss, Jiawei Han.
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016. Github | Video

• FacetGist: Collective Extraction of Document Facets in Large Technical Corpora
  Tarique A. Siddiqui*, Xiang Ren*, Aditya Parameswaran, Jiawei Han.
  ACM Conference on Information and Knowledge Management (CIKM), 2016.
  

• Representing Documents via Latent Keyphrase Inference
  Jialu Liu, Xiang Ren, Jingbo Shang, Taylor Cassidy, Clare R. Voss, Jiawei Han.
  International World-Wide Web Conference (WWW), 2016.
  Github

• Precision Matrix Estimation in High Dimensional Gaussian Graphical Models with Faster Rates
  Lingxiao Wang, Xiang Ren, Quanquan Gu.
  International Conference on Artificial Intelligence and Statistics (AISTATS), 2016.

• Cross-media Event Extraction and Recommendation.
  Di Lu, Clare R. Voss, Fangbo Tao, Xiang Ren, Rachel Guan, Rostyslav Korolov, Tongtao Zhang, Dongang Wang, Hongzhi Li, Taylor Cassidy, Heng Ji, Shih-Fu Chang, Jiawei Han, William Wallace, James Hendler, Mei Si and Lance Kaplan.
  The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2016. Demo System

• ClusType: Effective Entity Recognition and Typing by Relation Phrase-Based Clustering
  Xiang Ren, A. El-Kishky, C. Wang, F. Tao, C. R. Voss, H. Ji, J. Han.
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2015. Github | Slides | Video
  

• Synonym Discovery for Structured Entities on Heterogeneous Graphs
  Xiang Ren, Tao Cheng.
  International World-Wide Web Conference (WWW), 2015.
  

• Mining Quality Phrases from Massive Text Corpora
  Jialu Liu, Jingbo Shang, Chi Wang, Xiang Ren, Jiawei Han.
  ACM SIGMOD International Conference on Management of Data (SIGMOD), 2015.
  [Software] (Grand prize winner of Yelp Data Challenge) (Highlighted by TripAdvisor)

• ClusCite: Effective Citation Recommendation by Information Network-Based Clustering
  Xiang Ren, J. Liu, X. Yu, U. Khandelwal, Q. Gu, L. Wang, and J. Han.
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2014.
  [code] [slides] [PubMed Data] [DBLP Data]

• Heterogeneous Graph-Based Intent Learning from Queries, Web Pages and Wikipedia Concepts
  Xiang Ren, Yujing Wang, Xiao Yu, Jun Yan, Zheng Chen, Jiawei Han.
  International Conference on Web Search and Data Mining (WSDM), 2014.
  [slides]

• Personalized Entity Recommendation: A Heterogeneous Information Network Approach
  X. Yu, X. Ren, Y. Sun, Q. Gu, B. Sturt, U. Khandelwal, B. Norick, and J. Han.
  International Conference on Web Search and Data Mining (WSDM), 2014.
  [slides] (most cited paper in WSDM'14)
  

• Automatic Construction and Ranking of Topical Keyphrases on Collections of Short Documents
  Marina Danilevsky, Chi Wang, Nihit Desai, Xiang Ren, Jingyi Guo, and Jiawei Han.
  SIAM International Conference on Data Mining (SDM), 2014.

• NewsNetExplorer: Automatic Construction and Exploration of News Information Networks.
  Fangbo Tao, Jiawei Han, Heng Ji, George Brova,Chi Wang, Ahmed El-Kishky, Jialu Liu, Xiang Ren, Yizhou Sun.
  ACM SIGMOD International Conference on Management of Data (SIGMOD), 2014. (System Demo)

• Linearized Alternating Direction Method with Adaptive Penalty and Warm Starts for Fast Solving Transform Invariant Low-Rank Textures.
  Xiang Ren, Zhouchen Lin.
  International Journal of Computer Vision (IJCV), 2013. [code]
  (Influence Factor: 4.270) *Intern work at Microsoft Asia

• Semantic Frame-Based Document Representation for Comparable Corpora
  Hyungsul Kim, Xiang Ren, Yizhou Sun, Chi Wang, and Jiawei Han.
  IEEE International Conference on Data Mining (ICDM), 2013. [slides]

• HeteRec: Entity Recommendation in Heterogeneous Information Networks with Implicit User Feedback
  X. Yu, X. Ren, Y. Sun, B. Sturt, U. Khandelwal, Q. Gu, B. Norick, and J. Han.
  ACM Conference on Recommender Systems (RecSys), 2013.

• Repairing Sparse Low Rank Texture.
  Xiao Liang, Xiang Ren, Zhengdong Zhang and Yi Ma.
  The 14th European Conference on Computer Vision (ECCV), 2012.
  *Intern work at Microsoft Asia

• A Non-convex Relaxation Approach to Sparse Dictionary Learning.
  Jianping Shi*, Xiang Ren*, Guang Dai, Jingdong Wang and Zhihua Zhang.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012. [slides] (Oral paper, AC rate: 4%) *Equal contribution

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