2023

SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks
Bill Yuchen Lin, Yicheng Fu, Karina Yang, Prithviraj Ammanabrolu, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Yejin Choi, Xiang Ren
NeurIPS 2023 (Spotlight)

Faith and Fate: Limits of Transformers on Compositionality
Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jian, Bill Yuchen Lin, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D Hwang, Soumya Sanyal, Sean Welleck, Xiang Ren, Allyson Ettinger, Zaid Harchaoui, Yejin Choi
NeurIPS 2023 (Spotlight)

Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning
Ximing Lu, Faeze Brahman, Peter West, Jaehun Jang, Khyathi Chandu, Abhilasha Ravichander, Lianhui Qin, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Yuchen Lin, Skyler Hallinan, Xiang Ren, Sean Welleck, Yejin Choi
EMNLP 2023

How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench
Qinyuan Ye, Harvey Yiyun Fu, Xiang Ren, Robin Jia
Findings of EMNLP 2023

Estimating Large Language Model Capabilities without Labeled Test Data
Harvey Yiyun Fu, Qinyuan Ye, Albert Xu, Xiang Ren, Robin Jia
Findings of EMNLP 2023

Exploring Distributional Shifts in Large Language Models for Code Analysis
Shushan Arakelyan, Rocktim Jyoti Das, Yi Mao, Xiang Ren
EMNLP 2023

Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance
Jesse Zhang, Jiahui Zhang, Karl Pertsch, Ziyi Liu, Xiang Ren, Minsuk Chang, Shao-Hua Sun, Joseph J Lim
CORL 2023

KNIFE: Knowledge Distillation with Free-Text Rationales
Aaron Chan, Zhiyuan Zeng, Wyatt Lake, Brihi Joshi, Hanjie Chen, Xiang Ren
TrustML Workshop at ICLR 2023

How New Ideas Diffuse in Science
Mengjie Cheng, Daniel Scott Smith, Xiang Ren, Hancheng Cao, Sanne Smith, Daniel McFarland
American Sociological Review 2023

Self-Consistent Chain-of-Thought Distillation
Peifeng Wang, Zhengyang Wang, Zheng Li, Yifan Gao, Bing Yin, Xiang Ren
ACL 2023
ACL 2023 Outstanding Paper Award Github

Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales
Brihi Joshi, Ziyi Liu, Sahana Ramnath, Aaron Chan, Zhewei Tong, Shaoliang Nie, Qifan Wang, Yejin Choi, Xiang Ren
ACL 2023

FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning
Qinyuan Ye, Iz Beltagy, Matthew E. Peters, Xiang Ren, Hannaneh Hajishirzi
ACL 2023

Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step
Liunian Harold Li, Jack Hessel, Youngjae Yu, Xiang Ren, Kai-Wei Chang and Yejin Choi
ACL 2023

CoNAL: Anticipating Outliers with Large Language Models
Albert Xu, Xiang Ren, Robin Jia
ACL 2023

LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion
Dongfu Jiang, Xiang Ren, Bill Yuchen Lin
ACL 2023
Website

APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning
Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren
ACL 2023

REV: Information-Theoretic Evaluation of Free-Text Rationales
Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta
ACL 2023

Textual Backdoor Attacks with Iterative Trigger Injection
Jun Yan, Vansh Gupta, Xiang Ren
ACL 2023

Cross-lingual Lifelong Learning
Meryem M'hamdi, Xiang Ren, Jonathan May
ACL 2023

An AI Dungeon Master's Guide: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons
Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu
ACL 2023

Dataless Knowledge Fusion by Merging Weights of Language Models
Xisen Jin, Xiang Ren, Daniel Preotiuc-Pietro, Pengxiang Cheng
ICLR 2023

PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales
Peifeng Wang, Aaron Chan, Filip Ilievski, Muhao Chen, Xiang Ren
ICLR 2023

On Grounded Planning for Embodied Tasks with Language Models
Bill Yuchen Lin, Chengsong Huang, Qian Liu, Wenda Gu, Sam Sommerer, Xiang Ren
AAAI 2023

2022

Unsupervised Cross-Task Generalization via Retrieval Augmentation
Bill Yuchen Lin, Kangmin Tan, Chris Miller, Beiwen Tian, Xiang Ren
Conference on Neural Information Processing Systems (NeurIPS) 2022
Project

NS3: Neuro-Symbolic Semantic Code Search
Shushan Arakelyan, Anna Hakhverdyan, Miltiadis Allamanis, Christophe Hauser, Luis Antonio Garcia, Xiang Ren
Conference on Neural Information Processing Systems (NeurIPS) 2022
(Also a Spotlight at ICLR 2022 Deep Learning for Code Workshop)
Github

UniREx: A Unified Learning Framework for Language Model Rationale Extraction
Aaron Chan, Maziar Sanjabi, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren, Hamed Firooz
ICML 2022
(Also at ICLR Workshop on Socially Responsible Machine Learning & ACL Workshop on BigScience)
Github (coming soon)

Eliciting Transferability in Multi-task Learning with Task-level Mixture-of-Experts
Qinyuan Ye, Juan Zha, Xiang Ren
Findings of EMNLP 2022

RobustLR: Evaluating Robustness to Logical Perturbation in Deductive Reasoning
Soumya Sanyal, Zeyi Liao, Xiang Ren
EMNLP 2022
Github

ER-Test: Evaluating Explanation Regularization Methods for NLP Models
Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren
Findings of EMNLP 2022
Github

Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality
Pei Zhou, Hyundong J. Cho, Pegah Jandaghi, Dong-Ho Lee, Bill Yuchen Lin, Jay Pujara, Xiang Ren
EMNLP 2022
Project

Machine Translation Robustness to Natural Asemantic Variation
Jacob Bremerman, Xiang Ren, Jonathan May
EMNLP 2022

Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora
Xisen Jin, Dejiao Zhang, Henghui Zhu, Wei Xiao, Shang-Wen Li, Xiaokai Wei, Andrew Arnold, Xiang Ren
NAACL 2022
(also at ACL 2022 Workshop BigScience)
Github (coming soon)

Retweet-BERT: Characterizing Echo Chambers by Leveraging Language Features and Information Diffusion in Social Media
Julie Jiang, Xiang Ren, and Emilio Ferrara
ICWSM 2022

Sparse Distillation: Speeding Up Text Classification by Using Bigger Models
Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech
NAACL 2022

FedNLP: A Research Platform for Federated Learning in Natural Language Processing
Bill Yuchen Lin, Chaoyang He, Zihang Zeng, Hulin Wang, Yufen Huang, Mahdi Soltanolkotabi, Xiang Ren, Salman Avestimehr
Findings of NAACL 2022
Github

On the Robustness of Reading Comprehension Models to Entity Renaming
Jun Yan, Yang Xiao, Sagnik Mukherjee, Bill Yuchen Lin, Robin Jia, Xiang Ren
NAACL 2022
Github

NewsEdits: A Dataset of News Article Revision Histories and a Novel Document-Level Reasoning Challenge
Alexander Spangher, Xiang Ren, Jonathan May, Nanyun Peng
NAACL 2022
Outstanding Paper Award Github

FaiRR: Faithful and Robust Deductive Reasoning over Natural Language
Soumya Sanyal, Harman Singh, Xiang Ren
ACL 2022
Github

A Good Prompt Is Worth Millions of Parameters?: Low-resource Prompt-based Learning for Vision-Language Models
Woojeong Jin, Yu Cheng, Yelong Shen, Weizhu Chen, Xiang Ren
ACL 2022
Github

Fixing Errors in the Wild: On Continual Model Refinement in Out-of-Distribution Data Streams
Bill Yuchen Lin, Sida Wang, Xi Victoria Lin, Robin Jia, Lin Xiao, Xiang Ren, Scott Yih
ACL 2022
Github (coming soon)

Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER
Dong-Ho Lee, Mahak Agarwal, Akshen Kadakia, Jay Pujara, Xiang Ren
ACL 2022
Github

Think Before You Speak: Using Self-talk to Generate Implicit Commonsense Knowledge for Response Generation
Pei Zhou, Karthik Gopalakrishnan, Behnam Hedayatnia, Seokhwan Kim, Jay Pujara, Xiang Ren, Yang Liu, Dilek Hakkani-Tur
ACL 2022
Github (coming soon)

Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer
Woojeong Jin, Dong-Ho Lee, Chenguang Zhu, Jay Pujara, Xiang Ren
ACL 2022
Github

KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering
Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng
ACL 2022

Contextualized Scene Imagination for Generative Commonsense Reasoning
Peifeng Wang, Jonathan Zamora, Junfeng Liu, Filip Ilievski, Muhao Chen, Xiang Ren
ICLR 2022
Github

2021

Refining Language Models with Compositional Explanations
Huihan Yao, Ying Chen, Qinyuan Ye, Xisen Jin, Xiang Ren
Conference on Neural Information Processing Systems (NeurIPS) 2021
spotlight presentation
(previously at RAI @ICLR 2021)
Github

SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning
Aaron Chan, Boyuan Long, Jiashu Xu, Soumya Sanyal, Tanishq Gupta, Xiang Ren
Conference on Neural Information Processing Systems (NeurIPS) 2021
(previously at XAI @ICML 2021)
Github

Gradient Based Memory Editing for Task-Free Continual Learning
Xisen Jin, Arka Sadhu, Junyi Du, Xiang Ren
Conference on Neural Information Processing Systems (NeurIPS) 2021
(Previously a contributed talk to LifelongML@ICML 2020)
Github

AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction
Dong-Ho Lee*, Ravi Kiran Selvam*, Sheikh Muhammad Sarwar, Bill Yuchen Lin, Fred Morstatter,
Jay Pujara, Elizabeth Boschee, James Allan, Xiang Ren
Github (coming soon) Best paper award at TrustNLP@ NAACL 2021
ICLR Workshop on Weakly Supervised Learning (WeaSuL @ICLR) 2021

CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP
Qinyuan Ye, Yuchen Lin, Xiang Ren
EMNLP 2021
Github Tweet

RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms
Pei Zhou, Rahul Khanna, Bill Yuchen Lin, Daniel Ho, Jay Pujara, Xiang Ren
EMNLP 2021
Project Data Github

Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning
Xisen Jin, Bill Yuchen Lin, Mohammad Rostami, Xiang Ren
Findings of EMNLP 2021
Github Tweet

Discretized Integrated Gradients for Explaining Language Models
Soumya Sanyal, Xiang Ren
EMNLP 2021
Github

On the Influence of Masking Policies in Intermediate Pre-training
Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa
EMNLP 2021

Lawyers are Dishonest? : Quantifying Representational Harms in Commonsense Knowledge Resources
Ninareh Mehrabi, Pei Zhou, Fred Morstatter, Jay Pujara, Xiang Ren, Aram Galstyan
EMNLP 2021

Probing Commonsense Explanation in Dialogue Response Generation
Pei Zhou, Pegah Jandaghi, Hyundong Cho, Bill Yuchen Lin, Jay Pujara, Xiang Ren
Findings of EMNLP 2021
Project

ECONET: Effective Continual Pretraining of Language Models for Event Temporal Reasoning
Rujun Han, Xiang Ren, Nanyun Peng
EMNLP 2021
Github

Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation
Yuning Mao, Wenchang Ma, Deren Lei, Jiawei Han, Xiang Ren
EMNLP 2021
Github

Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation
Mozhdeh Gheini, Xiang Ren, Jonathan May
EMNLP 2021
Github

MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding
Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, Hamed Firooz
Findings of EMNLP 2021

RockNER: Evaluating the Robustness of Named Entity Recognition with Natural Adversarial Attacks
Bill Yuchen Lin, Wenyang Gao, Jun Yan, Ryan Moreno, Xiang Ren
EMNLP 2021 (short paper)
Project Github Data Leaderboard

ForecastQA: A Question Answering Challenge for Event Forecasting
Woojeong Jin, Rahul Khanna, Suji Kim, Dong-Ho Lee, Fred Morstatter, Aram Galstyan, Xiang Ren
ACL 2021
Project Data Explorer Leaderboard Tweet

Learning to Generate Task-specific Adapters from Task Description
Qinyuan Ye, Xiang Ren.
ACL 2021, short paper
Github

Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Common Sense Reasoning
Bill Yuchen Lin, Seyeon Lee, Xiaoyang Qiao, Xiang Ren.
ACL 2021
Project X-CSR Github Leaderboard

AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding
Jun Yan, Nasser Zalmout, Yan Liang, Christan Grant, Xiang Ren, Xin Luna Dong.
ACL 2021
Tweet

Learning Contextualized Knowledge Structures for Commonsense Reasoning
Jun Yan, Mrigank Raman, Aaron Chan, Tianyu Zhang, Ryan Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren
Findings of ACL 2021 (An earlier version accepted to KR2ML@ NeurIPS 2020)
Github Poster Tweet

RiddleSense: A Challenge Dataset for Answering Riddle-Style Commonsense Questions
Bill Yuchen Lin, Ziyi Wu, Yichi Yang, Dong-Ho Lee, Xiang Ren.
Findings of ACL 2021
Project

Do Language Models Perform Generalizable Commonsense Inference?
Peifeng Wang, Filip Ilievski, Muhao Chen, Xiang Ren.
Findings of ACL 2021
Github

Semi-Automated Protocol Disambiguation and Code Generation
Jane Yen, Tamás Lévai, Qinyuan Ye, Xiang Ren, Ramesh Govindan, Barath Raghavan
Annual conference of ACM SIGCOMM (SIGCOMM) 2021

Pre-training Text-to-Text Transformers for Concept-centric Common Sense
Wangchunshu Zhou*, Dong-Ho Lee*, Ravi Kiran Selvam, Seyeon Lee, Bill Yuchen Lin, Xiang Ren
ICLR 2021
(Previous version in SSL@ NeurIPS 2020)
Project Github Models Slides Tweet

Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation
Mrigank Raman, Aaron Chan*, Siddhant Agarwal*, Peifeng Wang, Hansen Wang, Sungchul Kim, Ryan Rossi, Handong Zhao, Nedim Lipka, Xiang Ren
ICLR 2021
Best paper runner-up at KR2ML@ NeurIPS 2020
Github OpenReview Tweet

On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning
Xisen Jin, Francesco Barbieri, Brendan Kennedy, Aida Mostafazadeh Davani, Leonardo Neves, Xiang Ren
NAACL 2021
Github

Differentiable Open-Ended Commonsense Reasoning
Bill Yuchen Lin, Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Xiang Ren, William W. Cohen
Project Github Slides
NAACL 2021

X-METRA-ADA: Cross-lingual Meta-Transfer learning Adaptation to Natural Language Understanding
Meryem M'hamdi, Doo Soon Kim, Franck Dernoncourt, Trung Bui, Xiang Ren, Jonathan May
NAACL 2021
Github Video

TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names
Jiaming Shen, Wenda Qiu, Yu Meng, Jingbo Shang, Xiang Ren, Jiawei Han
NAACL 2021

Improving Counterfactual Generation for Fair Hate Speech Detection
Aida Mostafazadeh Davani, Ali Omrani, Brendan Kennedy, Mohammad Atari, Xiang Ren, Morteza Dehghani
WOAH@NAACL 2021

IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization
Wenxuan Zhou, Bill Yuchen Lin, Xiang Ren
AAAI 2021
Github

Time-Series Event Prediction with Evolutionary State Graph
Wenjie Hu, Yang Yang, Ziqiang Cheng, Carl Yang, Xiang Ren
WSDM 2021

2020

• Visually Grounded Continual Learning of Compositional Phrases
  Xisen Jin, Junyi Du, Arka Sadhu, Ram Nevatia, Xiang Ren
  EMNLP 2020 (previously at Continual Learning @ICML 2020)
  Project Leaderboard Data Explorer Code

• Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering
  Yanlin Feng*, Xinyue Chen*, Bill Yuchen Lin, Peifeng Wang, Jun Yan, Xiang Ren
  EMNLP 2020
  Code

• Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs
  Woojeong Jin, Meng Qu, Xisen Jin, Xiang Ren
  EMNLP 2020 (Previously at ICLR-RLGM)
  Project Code Survey on Dynamic Graphs

• Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-trained Language Models
  Bill Yuchen Lin, Seyeon Lee, Rahul Khanna, Xiang Ren
  EMNLP 2020
  Project Data Leaderboard Code
  Media coverage: Communications of the ACM

• Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning
  Deren Lei, Gangrong Jiang, Xiaotao Gu, Kexuan Sun, Yuning Mao, Xiang Ren
  EMNLP 2020
  Code

• Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning
  Yuning Mao, Yanru Qu, Yiqing Xie, Xiang Ren, Jiawei Han.
  EMNLP 2020
  Code

• SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery
  Jiaming Shen, Wenda Qiu, Jingbo Shang, Michelle Vanni, Xiang Ren, Jiawei Han.
  EMNLP 2020
  Code

• Teaching Machine Comprehension with Compositional Explanations
  Qinyuan Ye, Xiao Huang, Xiang Ren
  EMNLP 2020 (Findings). (previously at Human In the Loop Learning@ICML 2020)
  Project Data Explorer Code

• CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning
  Bill Yuchen Lin, Ming Shen, Pei Zhou, Chandra Bhagavatula, Yejin Choi, Xiang Ren
  EMNLP 2020 (Findings). (previously at AKBC 2020)
  Project Data Huggingface Leaderboard Code
  Media coverage: The Register, Tech Xplore, Techzine, Radio.com, ScienceDaily

• Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering
  Peifeng Wang, Nanyun Peng, Pedro Szekely, Xiang Ren
  EMNLP 2020 (Findings)
  Project Notebook Tutorial Code Model checkpoints

• Will this Idea Spread Beyond Academia? Understanding Knowledge Transfer of Scientific Concepts across Text Corpora
  Hancheng Cao, Mengjie Cheng, Zhepeng Cen, Daniel McFarland, Xiang Ren
  EMNLP 2020 (Findings)

• Contextualizing Hate Speech Classifiers with Post-hoc Explanation
  Brendan Kennedy*, Xisen Jin*, Aida Mostafazadeh Davani, Morteza Dehghani, Xiang Ren
  ACL 2020
  Project Code
  Media coverage: Digital Trends, ScienceDaily, EurekAlert, Unite.AI, USCViterbi

• 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
  Code Blog

• Facet-Aware Evaluation for Extractive Summarization
  Yuning Mao, Liyuan Liu, Qi Zhu, Xiang Ren, Jiawei Han.
  ACL 2020
  Project Code video

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

• 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
  Project Code

• Neural Rule Grounding 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
  Best Paper award, Honorable Mention
  Code

• Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution
  Sankalp Garg*, Navodita Sharma*, Woojeong Jin, Xiang Ren
  IJCAI 2020
  Code

• Alleviate Dataset Shift Problem in Fine-grained Entity Typing with Virtual Adversarial Training
  Haochen Shi, Siliang Tang, Xiaotao Gu, Bo Chen, Xiang Ren
  IJCAI 2020
  

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

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

2019

• KagNet: Learning to Answer Commonsense Questions with Knowledge-Aware Graph Networks
  Bill Yuchen Lin, Xinyue Chen, Jamin Chen, Xiang Ren
  EMNLP 2019 (long)
  Github
  Media coverage: Communications of the ACM

• Recurrent Event Network: Global Structure Inference over Temporal Knowledge Graph
  Woojeong Jin, He Jiang, Meng Qu, Tong Chen, Changlin Zhang, Pedro Szekely, Xiang Ren
  Short version in ICLR-RLGM 2019
  Github Survey on Dynamic Graphs

• 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)
  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

• 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

• 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)

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

• 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

• 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
  The Web Conference (WWW), 2019
  Github PPT slide PDF

• 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
  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 Hancheng
  WSDM 2019
  Project Github (Best Poster Award runner-up at WWW'18)

2018

• 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, 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; 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 (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