2020

Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling
Ouyu Lan*, Xiao Huang*, Bill Yuchen Lin, He Jiang, Liyuan Liu, Xiang Ren. ACL 2020
Github

Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling
Yuning Mao, Liyuan Liu, Qi Zhu, Xiang Ren and Jiawei Han. ACL 2020
Github

TriggerNER: Learning with Entity Triggers as Explanation for Named Entity Recognition
Bill Yuchen Lin*, Dongho Lee*, Ming Shen, Xiao Huang, Ryan Moreno, Prashant Shiralkar, and Xiang Ren. ACL 2020


Contextualizing Hate Speech Classifiers with Post-hoc Explanation
Brendan Kennedy*, Xisen Jin*, Aida Mostafazadeh Davani, Morteza Dehghani and Xiang Ren. ACL 2020


LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Annotator Explanation
Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves and Xiang Ren. ACL 2020 (demo)
Project

Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models
Xisen Jin, Zhongyu Wei, Junyi Du, Xiangyang Xue, Xiang Ren. ICLR 2020 (spotlight).
Project | Github

Learning from Explanations with Neural Module Execution Tree
Ziqi Wang*, Yujia Qin*, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren. ICLR 2020 (poster).
Project | Github

NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction
Wenxuan Zhou, Hongtao Lin, Bill Yuchen Lin, Ziqi Wang, Junyi Du, Leonardo Neves, Xiang Ren. The Web Conference (WWW) 2020 (oral).
Github

2019

KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning
Bill Yuchen Lin, Xinyue Chen, Jamin Chen, Xiang Ren. EMNLP 2019 (long, oral).
Github

Collaborative Policy Learning for Open Knowledge Graph Reasoning
Cong Fu, Tong Chen, Meng Qu, Woojeong Jin, Xiang Ren. EMNLP 2019 (long).
Github

Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction
Qinyuan Ye, Liyuan Liu, Maosen Zhang, Xiang Ren. EMNLP 2019 (long, oral).
Github

Learning Dynamic Context Augmentation for Global Entity Linking
Xiyuan Yang, Xiaotao Gu, Sheng Lin, Siliang Tang, Yueting Zhuang, Fei Wu, Zhigang Chen, Guoping Hu, Xiang Ren. EMNLP 2019 (long).
Github

Hierarchical Text Classification with Reinforced Label Assignment
Yuning Mao, Jingjing Tian, Jiawei Han, Xiang Ren. EMNLP 2019 (long).
Github

HMEAE: Hierarchical Modular Event Argument Extraction
Xiaozhi Wang, Ziqi Wang, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li, Maosong Sun, Jie Zhou, Xiang Ren. EMNLP 2019 (short).


Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes
Aida Mostafazadeh Davani, Leigh Yeh, Mohammad Atari, Brendan Kennedy, Gwenyth Portillo Wightman, Elaine Gonzalez, Natalie Delong, Rhea Bhatia, Arineh Mirinjian, Xiang Ren and Morteza Dehghani. EMNLP 2019 (short).
Github

Recurrent Event Network for Reasoning over Temporal Knowledge Graphs
Woojeong Jin, Changlin Zhang, Pedro Szekely, Xiang Ren. Short version accepted to ICLR-RLGM 2019.
Github | Survey

Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis
Junyi Du, He Jiang, Jiaming Shen, Xiang Ren. ACL 2019.
Github

AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging
Bill Yuchen Lin, Dong-Ho Lee, Frank F. Xu, Ouyu Lan, Xiang Ren. ACL 2019. (System Demo)
Project | Wiki | Github | Poster

KCAT: A Knowledge-Constraint Typing Annotation Tool
Sheng Lin, Luye Zheng, Bo Chen, Siliang Tang, Zhigang Chen, Guoping Hu, Yueting Zhuang, Fei Wu, Xiang Ren. ACL 2019. (System Demo)


Posterior-regularized REINFORCE for Instance Selection in Distant Supervision
Qi Zhang, Siliang Tang, Fei Wu, Siliang Pu, Yueting Zhuang, Xiang Ren. NAACL 2019.
Github

Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering
Bo Chen, Xiaotao Gu, Yufeng Hu, Siliang Tang, Yueting Zhuang, Xiang Ren. NAACL 2019.
Github

A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification
Ziqian Zeng, Wenxuan Zhou, Xin Liu, and Yangqiu Song. NAACL 2019.
Github

Characterizing and Forecasting User Engagement with In-App Action Graphs: A Case Study of Snapchat
Yozen Liu, Xiaolin Shi, Lucas Pierce, Xiang Ren. KDD 2019.
Github Video

AtSNE: Efficient and Robust Visualization on GPU through Hierarchical Optimization
Cong Fu, Yonghui Zhang, Deng Cai, Xiang Ren. KDD 2019.
Github

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

Mining Entity Synonyms with Efficient Neural Set Generation
Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian Sadler, Jiawei Han. 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. 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. 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. NIPS 2018.
ArXiv Github
(Spotlight paper; Short version got spotlighted on KDD'18 Deep Learning Day)


Neural Adaptation Layers for Cross-domain Named Entity Recognition
Bill Yuchen Lin and Wei Lu . EMNLP 2018.


ExtRA: Extracting Prominent Review Aspects from Customer Feedback.
Zhiyi Luo, Shanshan Huang, Frank F. Xu, Bill Yuchen Lin, Hanyuan Shi and Kenny Q. Zhu. EMNLP 2018.


Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling
Lucas Liu, Xiang Ren, Jingbo Shang, Jian Peng, Jiawei Han. EMNLP 2018.
Blog Github


Learning Named Entity Tagger using Domain-Specific Dictionary
Jingbo Shang, Lucas Liu, Xiaotao Gu, Xiang Ren, Teng Ren, Jiawei Han. EMNLP 2018.
Blog Github


GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Model
Rex Ying, Jiaxuan You, Xiang Ren, William L. Hamilton, Jure Leskovec. ICML 2018.
ArXiv Github


Mining Cross-Cultural Differences and Similarities in Social Media
Bill Yuchen Lin, Frank F. Xu, Kenny Q. Zhu and Seung-won Hwang. ACL 2018.


Automatic Extraction of Commonsense LocatedNear Knowledge
Frank F. Xu, Bill Yuchen Lin and Kenny Q. Zhu . ACL 2018.

End-to-End Reinforcement Learning for Automatic Taxonomy Induction
Yuning Mao, Xiang Ren, Jiaming Shen, Xiaotao Gu, Jiawei Han. ACL 2018.
Github

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. KDD 2018.


Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning
Meng Qu, Xiang Ren, Yu Zhang, Jiawei Han. WWW 2018.
Github

Fast and Accurate Random Walk with Restart on Dynamic Graphs with Guarantees
Minji Yoon, Woojeong Jin, and U Kang. WWW 2018.
Blog

Open Information Extraction with Global Structure Constraints
Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank Xu, Jiawei Han. WWW 2018. (Poster Paper)
(Best Poster Award runner-up)


Indirect Supervision for Relation Extraction using Question-Answer Pairs
Ellen Wu, Xiang Ren, Frank Xu, Ji Li, Jiawei Han. 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. AAAI 2018.
Github Blog Documents

Dynamic Network Embedding by Modeling Triadic Closure Process
Lekui Zhou, Yang Yang, Xiang Ren, Fei Wu, Yueting Zhuang. 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. CIKM 2018.

Automated Phrase Mining from Massive Text Corpora
Jingbo Shang, Jialu Liu, Meng Jiang, Xiang Ren, Clare R Voss, Jiawei Han. TKDE 2018.
Github

2017

Multi-channel BiLSTM-CRF Model for Emerging Named Entity Recognition in Social Media
Bill Y. Lin, Frank F. Xu, Zhiyi Luo and Kenny Q. Zhu. EMNLP 2017.
(Workshop on Noisy User-generated Text)

Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach
Liyuan Liu*, Xiang Ren*, Qi Zhu, Shi Zhi, Huan Gui, Heng Ji, Jiawei Han. 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. ACL 2017. (System demo)

Automatic Synonym Discovery with Knowledge Bases
Meng Qu, Xiang Ren, Jiawei Han. 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. 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. 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. 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. CIKM 2017.

2016

Cross-region traffic prediction for China on OpenStreetMap
Frank F. Xu, Bill Y. Lin, Qi Lu, Yifei Huang and Kenny Q. Zhu . SIGSPATIAL 2016.

Personalized Ranking in Signed Networks using Signed Random Walk with Restart
Jinhong Jung, Woojeong Jin, Lee Sael, and U Kang. ICDM 2016.
Blog

AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding
Xiang Ren*, Wenqi He*, Meng Qu, Lifu Huang, Heng Ji, Jiawei Han. 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. KDD 2016.
Github Video

Entity Typing: A Critical Step for Mining Structures from Massive Unstructured Text
Xiang Ren, Wenqi He, Ahmed El-Kishky, Clare R. Voss, Heng Ji, Meng Qu, Jiawei Han. KDD-MLG 2016. (Invited Paper)

FacetGist: Collective Extraction of Document Facets in Large Technical Corpora
Tarique A. Siddiqui*, Xiang Ren*, Aditya Parameswaran, Jiawei Han. CIKM 2016.

Representing Documents via Latent Keyphrase Inference
Jialu Liu, Xiang Ren, Jingbo Shang, Taylor Cassidy, Clare R. Voss, Jiawei Han. WWW 2016.
Github

Precision Matrix Estimation in High Dimensional Gaussian Graphical Models with Faster Rates
Lingxiao Wang, Xiang Ren, Quanquan Gu. 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. NAACL 2016.
Demo System

2015

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. KDD 2015.
Github Slides Video
(presented as major part of ACL 2016 keynote speech)


Synonym Discovery for Structured Entities on Heterogeneous Graphs
Xiang Ren, Tao Cheng. WWW 2015.

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

2014

ClusCite: Effective Citation Recommendation by Information Network-Based Clustering
Xiang Ren, J. Liu, X. Yu, U. Khandelwal, Q. Gu, L. Wang, and J. Han. 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. WSDM 2014.
slides
*Intern work at Machine Learning Group, Microsoft Research Asia.

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. 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. 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. SIGMOD 2014. (System Demo)

2013

Linearized Alternating Direction Method with Adaptive Penalty and Warm Starts for Fast Solving Transform Invariant Low-Rank Textures
Xiang Ren, Zhouchen Lin. 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. 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. RecSys 2013.

Collaborative Filtering with Entity Similarity Regularization in Heterogeneous Information Networks
Xiao Yu, Xiang Ren, Quanquan Gu, Yizhou Sun and Jiawei Han. IJCAI-HINA 2013.
slides

2012

Repairing Sparse Low Rank Texture
Xiao Liang, Xiang Ren, Zhengdong Zhang and Yi Ma. 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. CVPR 2012.
slides *Equal contribution