A Knowledge Flow Driven E-Learning Architecture Design: What is its Stratification and How is it Personalized. - Qiaozhu Mei; Junrong Shen (ICCE, 2002)

A knowledge processing oriented life cycle study from a Digital Museum system. - Qiaozhu Mei (ACM Southeast Regional Conference, 2004)

Template extraction from candidate template set generation: a structure and content approach. - Hang Su; Qiaozhu Mei (ACM Southeast Regional Conference (2), 2005)

Accurate language model estimation with document expansion. - Tao Tao; Xuanhui Wang; Qiaozhu Mei; ChengXiang Zhai (CIKM, 2005)

Discovering evolutionary theme patterns from text: an exploration of temporal text mining. - Qiaozhu Mei; ChengXiang Zhai (KDD, 2005)

Generating semantic annotations for frequent patterns with context analysis. - Qiaozhu Mei; Dong Xin; Hong Cheng 001; Jiawei Han 001; ChengXiang Zhai (KDD, 2006)

A mixture model for contextual text mining. - Qiaozhu Mei; ChengXiang Zhai (KDD, 2006)

Discovering interesting patterns through user's interactive feedback. - Dong Xin; Xuehua Shen; Qiaozhu Mei; Jiawei Han 001 (KDD, 2006)

Language Model Information Retrieval with Document Expansion. - Tao Tao; Xuanhui Wang; Qiaozhu Mei; ChengXiang Zhai (HLT-NAACL, 2006)

Automatically Generating Gene Summaries from Biomedical Literature. - Xu Ling; Jing Jiang 007; Xin He 001; Qiaozhu Mei; ChengXiang Zhai; Bruce R. Schatz (Pacific Symposium on Biocomputing, 2006)

A probabilistic approach to spatiotemporal theme pattern mining on weblogs. - Qiaozhu Mei; Chao Liu 001; Hang Su; ChengXiang Zhai (WWW, 2006)

Automatic labeling of multinomial topic models. - Qiaozhu Mei; Xuehua Shen; ChengXiang Zhai (KDD, 2007)

A study of Poisson query generation model for information retrieval. - Qiaozhu Mei; Hui Fang 001; ChengXiang Zhai (SIGIR, 2007)

Topic sentiment mixture: modeling facets and opinions in weblogs. - Qiaozhu Mei; Xu Ling; Matthew Wondra; Hang Su; ChengXiang Zhai (WWW, 2007)

Generating gene summaries from biomedical literature: A study of semi-structured summarization. - Xu Ling; Jing Jiang 007; Xin He 001; Qiaozhu Mei; Chengxiang Zhai; Bruce R. Schatz (Inf. Process. Manag., 2007)

Semantic annotation of frequent patterns. - Qiaozhu Mei; Dong Xin; Hong Cheng 001; Jiawei Han 001; Chengxiang Zhai (ACM Trans. Knowl. Discov. Data, 2007)

Generating Impact-Based Summaries for Scientific Literature. - Qiaozhu Mei; ChengXiang Zhai (ACL, 2008)

Automatic Web Tagging and Person Tagging Using Language Models. - Qiaozhu Mei; Yi Zhang 001 (ADMA, 2008)

Modeling hidden topics on document manifold. - Deng Cai 001; Qiaozhu Mei; Jiawei Han 001; Chengxiang Zhai (CIKM, 2008)

Query suggestion using hitting time. - Qiaozhu Mei; Dengyong Zhou; Kenneth Ward Church (CIKM, 2008)

Mining multi-faceted overviews of arbitrary topics in a text collection. - Xu Ling; Qiaozhu Mei; ChengXiang Zhai; Bruce R. Schatz (KDD, 2008)

A general optimization framework for smoothing language models on graph structures. - Qiaozhu Mei; Duo Zhang 001; ChengXiang Zhai (SIGIR, 2008)

Entropy of search logs: how hard is search? with personalization? with backoff? - Qiaozhu Mei; Kenneth Ward Church (WSDM, 2008)

Topic modeling with network regularization. - Qiaozhu Mei; Deng Cai 001; Duo Zhang 001; ChengXiang Zhai (WWW, 2008)

An analysis framework for search sequences. - Qiaozhu Mei; Kristina Lisa Klinkner; Ravi Kumar 001; Andrew Tomkins (CIKM, 2009)

Exploring social tagging graph for web object classification. - Zhijun Yin; Rui Li 049; Qiaozhu Mei; Jiawei Han 001 (KDD, 2009)

Personalized tag recommendation using graph-based ranking on multi-type interrelated objects. - Ziyu Guan; Jiajun Bu; Qiaozhu Mei; Chun Chen 001; Can Wang 001 (SIGIR, 2009)

Promotion Analysis in Multi-Dimensional Space. - Tianyi Wu; Dong Xin; Qiaozhu Mei; Jiawei Han 001 (Proc. VLDB Endow., 2009)

Contextual text mining - Qiaozhu Mei (2009)

Cross-Lingual Latent Topic Extraction. - Duo Zhang 001; Qiaozhu Mei; ChengXiang Zhai (ACL, 2010)

Context Comparison of Bursty Events in Web Search and Online Media. - Yunliang Jiang; Cindy Xide Lin; Qiaozhu Mei (EMNLP, 2010)

Edge Weight Regularization over Multiple Graphs for Similarity Learning. - Pradeep Muthukrishnan; Dragomir R. Radev; Qiaozhu Mei (ICDM, 2010)

PET: a statistical model for popular events tracking in social communities. - Cindy Xide Lin; Bo Zhao 001; Qiaozhu Mei; Jiawei Han 001 (KDD, 2010)

DivRank: the interplay of prestige and diversity in information networks. - Qiaozhu Mei; Jian Guo 002; Dragomir R. Radev (KDD, 2010)

Rumor has it: Identifying Misinformation in Microblogs. - Vahed Qazvinian; Emily Rosengren; Dragomir R. Radev; Qiaozhu Mei (EMNLP, 2011)

The Joint Inference of Topic Diffusion and Evolution in Social Communities. - Cindy Xide Lin; Qiaozhu Mei; Jiawei Han 001; Yunliang Jiang; Marina Danilevsky (ICDM, 2011)

Classifying the Political Leaning of News Articles and Users from User Votes. - Daniel Xiaodan Zhou; Paul Resnick; Qiaozhu Mei (ICWSM, 2011)

Simultaneous Similarity Learning and Feature-Weight Learning for Document Clustering. - Pradeep Muthukrishnan; Dragomir R. Radev; Qiaozhu Mei (Graph-based Methods for Natural Language Processing, 2011)

Investigating task performance of probabilistic topic models: an empirical study of PLSA and LDA. - Yue Lu 002; Qiaozhu Mei; ChengXiang Zhai (Inf. Retr., 2011)

Collaborative search in electronic health records. - Kai Zheng 002; Qiaozhu Mei; David A. Hanauer (J. Am. Medical Informatics Assoc., 2011)

BeeSpace Navigator: exploratory analysis of gene function using semantic indexing of biological literature. - Moushumi Sen Sarma; David Arcoleo; Radhika S. Khetani; Brant W. Chee; Xu Ling; Xin He 001; Jing Jiang 007; Qiaozhu Mei; ChengXiang Zhai; Bruce R. Schatz (Nucleic Acids Res., 2011)

Hedging their Mets: The Use of Uncertainty Terms in Clinical Documents and its Potential Implications when Sharing the Documents with Patients. - David A. Hanauer; Yang Liu 019; Qiaozhu Mei; Frank J. Manion; Ulysses J. Balis; Kai Zheng 002 (AMIA, 2012)

GenDeR: A Generic Diversified Ranking Algorithm. - Jingrui He; Hanghang Tong; Qiaozhu Mei; Boleslaw K. Szymanski (NIPS, 2012)

"I loan because...": understanding motivations for pro-social lending. - Yang Liu 019; Roy Chen; Yan Chen 014; Qiaozhu Mei; Suzy Salib (WSDM, 2012)

We know what @you #tag: does the dual role affect hashtag adoption? - Lei Yang; Tao Sun; Ming Zhang 004; Qiaozhu Mei (WWW, 2012)

A Study of Active Learning Methods for Clinical Entities Recognition. - Yukun Chen 001; Thomas A. Lasko; Qiaozhu Mei; Joshua C. Denny; Hua Xu 001 (AMIA, 2013)

Location Bias of Identifiers in Clinical Narratives. - David A. Hanauer; Qiaozhu Mei; Bradley A. Malin; Kai Zheng 002 (AMIA, 2013)

Diffusion of innovations revisited: from social network to innovation network. - Xin Rong; Qiaozhu Mei (CIKM, 2013)

Unexpected Relevance: An Empirical Study of Serendipity in Retweets. - Tao Sun; Ming Zhang 004; Qiaozhu Mei (ICWSM, 2013)

One theme in all views: modeling consensus topics in multiple contexts. - Jian Tang 005; Ming Zhang 004; Qiaozhu Mei (KDD, 2013)

Applying Multiple Methods to Assess the Readability of a Large Corpus of Medical Documents. - Danny T. Y. Wu; David A. Hanauer; Qiaozhu Mei; Patricia M. Clark; Lawrence C. An; Jianbo Lei; Joshua Proulx; Qing Zeng-Treitler; Kai Zheng 002 (MedInfo, 2013)

A User-in-the-Loop Process for Investigational Search: Foreseer in TREC 2013 Microblog Track. - Cheng Li 012; Yue Wang 035; Qiaozhu Mei (TREC, 2013)

Towards Twitter context summarization with user influence models. - Yi Chang 001; Xuanhui Wang; Qiaozhu Mei; Yan Liu 002 (WSDM, 2013)

Questions about questions: an empirical analysis of information needs on Twitter. - Zhe Zhao 001; Qiaozhu Mei (WWW, 2013)

Applying active learning to supervised word sense disambiguation in MEDLINE. - Yukun Chen 001; Hongxin Cao; Qiaozhu Mei; Kai Zheng 002; Hua Xu 001 (J. Am. Medical Informatics Assoc., 2013)

A Preliminary Study of Coupling Transfer Learning with Active Learning for Clinical Named Entity Recognition between Two Institutions. - Yukun Chen 001; Yaoyun Zhang; Qiaozhu Mei; Dead Account; Joshua C. Denny; Hua Xu 001 (AMIA, 2014)

Mining Consumer Health Vocabulary from Community-Generated Text. - V. G. Vinod Vydiswaran; Qiaozhu Mei; David A. Hanauer; Kai Zheng 002 (AMIA, 2014)

Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis. - Jian Tang 005; Zhaoshi Meng; XuanLong Nguyen; Qiaozhu Mei; Ming Zhang 004 (ICML, 2014)

User-Created Groups in Health Forums: What Makes Them Special? - V. G. Vinod Vydiswaran; Yang Liu 019; Kai Zheng 002; David A. Hanauer; Qiaozhu Mei (ICWSM, 2014)

Predicting bursts and popularity of hashtags in real-time. - Shoubin Kong; Qiaozhu Mei; Ling Feng; Fei Ye; Zhe Zhao 001 (SIGIR, 2014)

ReQ-ReC: high recall retrieval with query pooling and interactive classification. - Cheng Li 012; Yue Wang 035; Paul Resnick; Qiaozhu Mei (SIGIR, 2014)

Real-Time Predicting Bursting Hashtags on Twitter. - Shoubin Kong; Qiaozhu Mei; Ling Feng; Zhe Zhao 001 (WAIM, 2014)

The dual-sparse topic model: mining focused topics and focused terms in short text. - Tianyi Lin; Wentao Tian; Qiaozhu Mei; Hong Cheng 001 (WWW, 2014)

On the Real-time Prediction Problems of Bursting Hashtags in Twitter. - Shoubin Kong; Qiaozhu Mei; Ling Feng; Zhe Zhao 001; Fei Ye (CoRR, 2014)

"Look Ma, No Hands!" A Parameter-Free Topic Model. - Jian Tang 005; Ming Zhang 004; Qiaozhu Mei (CoRR, 2014)

Applying MetaMap to Medline for identifying novel associations in a large clinical dataset: a feasibility analysis. - David A. Hanauer; Mohammed Saeed 001; Kai Zheng 002; Qiaozhu Mei; Kerby Shedden; Alan R. Aronson; Naren Ramakrishnan (J. Am. Medical Informatics Assoc., 2014)

Real Time Active Learning Study for Clinical Named Entity Recognition. - Yukun Chen 001; Sungrim Moon; Thomas A. Lasko; Qiaozhu Mei; Jingqi Wang; Trevor Cohen; Qingxia Chen; Joshua C. Denny; Hua Xu 001 (AMIA, 2015)

Caveats of Using Social Media Data for Medical Research: A Report from a Study on Eye-Related Symptoms in Tweets. - Yang Liu 019; Tricia O'Brien; Esha Sondhi; Qiaozhu Mei; David A. Hanauer; Kai Zheng 002 (AMIA, 2015)

Identifying Patterns Indicative of Copying/Pasting Behavior in Patient Generated Online Content. - Tera L. Reynolds; V. G. Vinod Vydiswaran; Yuting Wu; Qiaozhu Mei; David A. Hanauer; Kai Zheng 002 (AMIA, 2015)

Mash Droid: An Approach to Mobile-Oriented Dynamic Services Discovery and Composition by In-App Search. - Yun Ma 002; Xuanzhe Liu; Meihua Yu; Yunxin Liu 001; Qiaozhu Mei; Feng Feng 001 (ICWS, 2015)

Audience Analysis for Competing Memes in Social Media. - Samuel Carton; Souneil Park; Nicole Zeffer; Eytan Adar; Qiaozhu Mei; Paul Resnick (ICWSM, 2015)

Characterizing Smartphone Usage Patterns from Millions of Android Users. - Huoran Li; Xuan Lu; Xuanzhe Liu; Tao Xie 001; Kaigui Bian; Felix Xiaozhu Lin; Qiaozhu Mei; Feng Feng 001 (Internet Measurement Conference, 2015)

Click-through Prediction for Advertising in Twitter Timeline. - Cheng Li 012; Yue Lu 002; Qiaozhu Mei; Dong Wang; Sandeep Pandey (KDD, 2015)

PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks. - Jian Tang 005; Meng Qu; Qiaozhu Mei (KDD, 2015)

Learning from Medical Summaries: The University of Michigan at TREC 2015 Clinical Decision Support Track. - Fengmin Hu; Danny T. Y. Wu; Qiaozhu Mei; V. G. Vinod Vydiswaran (TREC, 2015)

A Descriptive Analysis of a Large-Scale Collection of App Management Activities. - Huoran Li; Xuanzhe Liu; Wei Ai 002; Qiaozhu Mei; Feng Feng 001 (WWW (Companion Volume), 2015)

LINE: Large-scale Information Network Embedding. - Jian Tang 005; Meng Qu; Mingzhe Wang; Ming Zhang 004; Jun Yan 001; Qiaozhu Mei (WWW, 2015)

Enquiring Minds: Early Detection of Rumors in Social Media from Enquiry Posts. - Zhe Zhao 001; Paul Resnick; Qiaozhu Mei (WWW, 2015)

Modeling the Interplay Between Individual Behavior and Network Distributions. - Yang Yang 009; Jie Tang 001; Yuxiao Dong; Qiaozhu Mei; Reid A. Johnson; Nitesh V. Chawla (CoRR, 2015)

A study of active learning methods for named entity recognition in clinical text. - Yukun Chen 001; Thomas A. Lasko; Qiaozhu Mei; Joshua C. Denny; Hua Xu 001 (J. Biomed. Informatics, 2015)

Supporting information retrieval from electronic health records: A report of University of Michigan's nine-year experience in developing and using the Electronic Medical Record Search Engine (EMERSE). - David A. Hanauer; Qiaozhu Mei; James Law; Ritu Khanna; Kai Zheng 002 (J. Biomed. Informatics, 2015)

Clinical Word Sense Disambiguation with Interactive Search and Classification. - Yue Wang 035; Kai Zheng 002; Hua Xu 001; Qiaozhu Mei (AMIA, 2016)

Multiple Queries as Bandit Arms. - Cheng Li 012; Paul Resnick; Qiaozhu Mei (CIKM, 2016)

Learning from the ubiquitous language: an empirical analysis of emoji usage of smartphone users. - Xuan Lu; Wei Ai 002; Xuanzhe Liu; Qian Li 027; Ning Wang; Gang Huang 001; Qiaozhu Mei (UbiComp, 2016)

PRADA: prioritizing android devices for apps by mining large-scale usage data. - Xuan Lu; Xuanzhe Liu; Huoran Li; Tao Xie 001; Qiaozhu Mei; Dan Hao 001; Gang Huang 001; Feng Feng 001 (ICSE, 2016)

Mining usage data from large-scale Android users: challenges and opportunities. - Xuan Lu; Xuanzhe Liu; Huoran Li; Tao Xie 001; Qiaozhu Mei; Dan Hao 001; Gang Huang 001; Feng Feng 001 (MOBILESoft, 2016)

EgoSet: Exploiting Word Ego-networks and User-generated Ontology for Multifaceted Set Expansion. - Xin Rong; Zhe Chen 014; Qiaozhu Mei; Eytan Adar (WSDM, 2016)

Beyond Ranking: Optimizing Whole-Page Presentation. - Yue Wang 035; Dawei Yin; Luo Jie; Pengyuan Wang 001; Makoto Yamada; Yi Chang 001; Qiaozhu Mei (WSDM, 2016)

Voting with Their Feet: Inferring User Preferences from App Management Activities. - Huoran Li; Wei Ai 002; Xuanzhe Liu; Jian Tang 005; Gang Huang 001; Feng Feng 001; Qiaozhu Mei (WWW, 2016)

Visualizing Large-scale and High-dimensional Data. - Jian Tang 005; Jingzhou Liu; Ming Zhang 004; Qiaozhu Mei (WWW, 2016)

DeepGraph: Graph Structure Predicts Network Growth. - Cheng Li 012; Xiaoxiao Guo; Qiaozhu Mei (CoRR, 2016)

The DARPA Twitter Bot Challenge. - V. S. Subrahmanian; Amos Azaria; Skylar Durst; Vadim Kagan; Aram Galstyan; Kristina Lerman; Linhong Zhu; Emilio Ferrara; Alessandro Flammini; Filippo Menczer; Rand Waltzman; Andrew Stevens; et al. (CoRR, 2016)

Visualization Large-scale and High-dimensional Data. - Jian Tang 005; Jingzhou Liu; Ming Zhang 004; Qiaozhu Mei (CoRR, 2016)

Identity-sensitive Word Embedding through Heterogeneous Networks. - Jian Tang 005; Meng Qu; Qiaozhu Mei (CoRR, 2016)

Context-aware Natural Language Generation with Recurrent Neural Networks. - Jian Tang 005; Yifan Yang; Samuel Carton; Ming Zhang 004; Qiaozhu Mei (CoRR, 2016)

Less is More: Learning Prominent and Diverse Topics for Data Summarization. - Jian Tang 005; Ming Zhang 004; Qiaozhu Mei (CoRR, 2016)

Extracting relations from traditional Chinese medicine literature via heterogeneous entity networks. - Huaiyu Wan; Marie-Francine Moens; Walter Luyten; Xuezhong Zhou; Qiaozhu Mei; Lu Liu 005; Jie Tang 001 (J. Am. Medical Informatics Assoc., 2016)

Assessing the readability of ClinicalTrials.gov. - Danny T. Y. Wu; David A. Hanauer; Qiaozhu Mei; Patricia M. Clark; Lawrence C. An; Joshua Proulx; Qing T. Zeng; V. G. Vinod Vydiswaran; Kevyn Collins-Thompson; Kai Zheng 002 (J. Am. Medical Informatics Assoc., 2016)

Understanding the Patterns of Health Information Dissemination on Social Media during the Zika Outbreak. - Xinning Gui; Yue Wang 035; Yubo Kou; Tera L. Reynolds; Yunan Chen; Qiaozhu Mei; Kai Zheng 002 (AMIA, 2017)

Interactive Medical Word Sense Disambiguation with Instance and Feature Labeling. - Yue Wang 035; Kai Zheng 002; Hua Xu 001; Qiaozhu Mei (AMIA, 2017)

Matching Consumer Health Vocabulary with Professional Medical Terms Through Concept Embedding. - Yue Wang 035; Jian Tang 005; V. G. Vinod Vydiswaran; Kai Zheng 002; Hua Xu 001; Qiaozhu Mei (AMIA, 2017)

Creating a Labeled Dataset for Medical Misinformation in Health Forums. - Alexander Kinsora; Kate Barron; Qiaozhu Mei; V. G. Vinod Vydiswaran (ICHI, 2017)

Untangling Emoji Popularity Through Semantic Embeddings. - Wei Ai 002; Xuan Lu; Xuanzhe Liu; Ning Wang; Gang Huang 001; Qiaozhu Mei (ICWSM, 2017)

End-to-end Learning for Short Text Expansion. - Jian Tang 005; Yue Wang 035; Kai Zheng 002; Qiaozhu Mei (KDD, 2017)

Deep Memory Networks for Attitude Identification. - Cheng Li 012; Xiaoxiao Guo; Qiaozhu Mei (WSDM, 2017)

DeepCas: An End-to-end Predictor of Information Cascades. - Cheng Li 012; Jiaqi Ma 001; Xiaoxiao Guo; Qiaozhu Mei (WWW, 2017)

Roaming across the Castle Tunnels: an Empirical Study of Inter-App Navigation Behaviors of Android Users. - Ziniu Hu; Yun Ma 003; Qiaozhu Mei; Jian Tang 005 (CoRR, 2017)

Understanding Diverse Smarpthone Usage Patterns from Large-Scale Appstore-Service Profiles. - Xuanzhe Liu; Huoran Li; Xuan Lu; Tao Xie 001; Qiaozhu Mei; Hong Mei 001; Feng Feng 001 (CoRR, 2017)

Does team competition increase pro-social lending? Evidence from online microfinance. - Roy Chen; Yan Chen 014; Yang Liu 019; Qiaozhu Mei (Games Econ. Behav., 2017)

PRADO: Predicting App Adoption by Learning the Correlation between Developer-Controllable Properties and User Behaviors. - Xuan Lu; Zhenpeng Chen; Xuanzhe Liu; Huoran Li; Tao Xie 001; Qiaozhu Mei (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

Development and empirical user-centered evaluation of semantically-based query recommendation for an electronic health record search engine. - David A. Hanauer; Danny T. Y. Wu; Lei Yang; Qiaozhu Mei; Katherine B. Murkowski-Steffy; V. G. Vinod Vydiswaran; Kai Zheng 002 (J. Biomed. Informatics, 2017)

An active learning-enabled annotation system for clinical named entity recognition. - Yukun Chen 001; Thomas A. Lasko; Qiaozhu Mei; Qingxia Chen; Sungrim Moon; Jingqi Wang; Ky Nguyen; Tolulola Dawodu; Trevor Cohen; Joshua C. Denny; Hua Xu 001 (BMC Medical Informatics Decis. Mak., 2017)

Deriving User Preferences of Mobile Apps from Their Management Activities. - Xuanzhe Liu; Wei Ai 002; Huoran Li; Jian Tang 005; Gang Huang 001; Feng Feng 001; Qiaozhu Mei (ACM Trans. Inf. Syst., 2017)

Mining Device-Specific Apps Usage Patterns from Appstore Big Data. - Huoran Li; Xuanzhe Liu; Hong Mei 001; Qiaozhu Mei (Big Data (CCF), 2018)

Exploiting Knowledge Graph to Improve Text-based Prediction. - Shan Jiang 001; Chengxiang Zhai; Qiaozhu Mei (IEEE BigData, 2018)

Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts. - Samuel Carton; Qiaozhu Mei; Paul Resnick (EMNLP, 2018)

Numerical Age Variations within Clinical Notes: The Potential Impact on De-Identification and Information Extraction. - David A. Hanauer; Qiaozhu Mei; V. G. Vinod Vydiswaran; Karandeep Singh; Zach Landis-Lewis; Chunhua Weng (ICHI Workshops, 2018)

Joint Modeling of Text and Networks for Cascade Prediction. - Cheng Li 012; Xiaoxiao Guo; Qiaozhu Mei (ICWSM, 2018)

Identify Shifts of Word Semantics through Bayesian Surprise. - Zhuofeng Wu 001; Cheng Li 012; Zhe Zhao 001; Fei Wu 001; Qiaozhu Mei (SIGIR, 2018)

Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users. - Zhenpeng Chen; Xuan Lu; Wei Ai 002; Huoran Li; Qiaozhu Mei; Xuanzhe Liu (WWW, 2018)

Find the Conversation Killers: A Predictive Study of Thread-ending Posts. - Yunhao Jiao; Cheng Li 012; Fei Wu 001; Qiaozhu Mei (WWW, 2018)

Predicting Smartphone Battery Life based on Comprehensive and Real-time Usage Data. - Huoran Li; Xuanzhe Liu; Qiaozhu Mei (CoRR, 2018)

Ermes: Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification. - Zhenpeng Chen; Sheng Shen 001; Ziniu Hu; Xuan Lu; Qiaozhu Mei; Xuanzhe Liu (CoRR, 2018)

DeepType: On-Device Deep Learning for Input Personalization Service with Minimal Privacy Concern. - Mengwei Xu; Feng Qian 001; Qiaozhu Mei; Kang Huang; Xuanzhe Liu (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Interactive medical word sense disambiguation through informed learning. - Yue Wang 035; Kai Zheng 002; Hua Xu 001; Qiaozhu Mei (J. Am. Medical Informatics Assoc., 2018)

Understanding Diverse Usage Patterns from Large-Scale Appstore-Service Profiles. - Xuanzhe Liu; Huoran Li; Xuan Lu; Tao Xie 001; Qiaozhu Mei; Feng Feng 001; Hong Mei 001 (IEEE Trans. Software Eng., 2018)

Optimizing Whole-Page Presentation for Web Search. - Yue Wang 035; Dawei Yin; Luo Jie; Pengyuan Wang 001; Makoto Yamada; Yi Chang 001; Qiaozhu Mei (ACM Trans. Web, 2018)

Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation. - Cristina Garbacea; Samuel Carton; Shiyan Yan; Qiaozhu Mei (EMNLP/IJCNLP (1), 2019)

How Do Healthcare Professionals Personalize Their Software? A Pilot Exploration Based on an Electronic Health Records Search Engine. - Kai Zheng 002; Yunan Chen; Julia Adler-Milstein; Andrew L. Rosenberg; Danny T. Y. Wu; Qiaozhu Mei; David A. Hanauer (MedInfo, 2019)

The Strength of the Weakest Supervision: Topic Classification Using Class Labels. - Jiatong Li; Kai Zheng 002; Hua Xu 001; Qiaozhu Mei; Yue Wang 035 (NAACL-HLT (Student Research Workshop), 2019)

A Flexible Generative Framework for Graph-based Semi-supervised Learning. - Jiaqi Ma 001; Weijing Tang; Ji Zhu; Qiaozhu Mei (NeurIPS, 2019)

SEntiMoji: an emoji-powered learning approach for sentiment analysis in software engineering. - Zhenpeng Chen; Yanbin Cao; Xuan Lu; Qiaozhu Mei; Xuanzhe Liu (ESEC/SIGSOFT FSE, 2019)

Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification. - Zhenpeng Chen; Sheng Shen 001; Ziniu Hu; Xuan Lu; Qiaozhu Mei; Xuanzhe Liu (WWW, 2019)

Decoding the New World Language: Analyzing the Popularity, Roles, and Utility of Emojis. - Qiaozhu Mei (WWW (Companion Volume), 2019)

Graph Representation Learning via Multi-task Knowledge Distillation. - Jiaqi Ma 001; Qiaozhu Mei (CoRR, 2019)

Cost-aware active learning for named entity recognition in clinical text. - Qiang Wei 002; Yukun Chen 001; Mandana Salimi; Joshua C. Denny; Qiaozhu Mei; Thomas A. Lasko; Qingxia Chen; Stephen Wu 004; Amy Franklin; Trevor Cohen; Hua Xu 001 (J. Am. Medical Informatics Assoc., 2019)

Complexities, variations, and errors of numbering within clinical notes: the potential impact on information extraction and cohort-identification. - David A. Hanauer; Qiaozhu Mei; V. G. Vinod Vydiswaran; Karandeep Singh; Zach Landis-Lewis; Chunhua Weng (BMC Medical Informatics Decis. Mak., 2019)

Improving rare disease classification using imperfect knowledge graph. - Xuedong Li; Yue Wang 035; Dongwu Wang; Walter Yuan; Dezhong Peng; Qiaozhu Mei (BMC Medical Informatics Decis. Mak., 2019)

Re-ranking Biomedical Literature for Precision Medicine with Pre-trained Neural Models. - Jiazhao Li; Adharsh Murali; Qiaozhu Mei; V. G. Vinod Vydiswaran (ICHI, 2020)

Named Entity Recognition from Table Headers in Randomized Controlled Trial Articles. - Qiang Wei 002; Yujia Zhou 003; Bo Zhao 001; Xinyue Hu 002; Qiaozhu Mei; Cui Tao; Hua Xu 001 (ICHI, 2020)

Feature-Based Explanations Don't Help People Detect Misclassifications of Online Toxicity. - Samuel Carton; Qiaozhu Mei; Paul Resnick (ICWSM, 2020)

Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification (Extended Abstract). - Zhenpeng Chen; Sheng Shen 001; Ziniu Hu; Xuan Lu; Qiaozhu Mei; Xuanzhe Liu (IJCAI, 2020)

Predicting Individual Treatment Effects of Large-scale Team Competitions in a Ride-sharing Economy. - Teng Ye; Wei Ai 002; Lingyu Zhang 001; Ning Luo; Lulu Zhang; Jieping Ye; Qiaozhu Mei (KDD, 2020)

Towards More Practical Adversarial Attacks on Graph Neural Networks. - Jiaqi Ma 001; Shuangrui Ding; Qiaozhu Mei (NeurIPS, 2020)

UMSIForeseer at SemEval-2020 Task 11: Propaganda Detection by Fine-Tuning BERT with Resampling and Ensemble Learning. - Yunzhe Jiang; Cristina Garbacea; Qiaozhu Mei (SemEval@COLING, 2020)

Neural Architecture Search over Decentralized Data. - Mengwei Xu; Yuxin Zhao; Kaigui Bian; Gang Huang 001; Qiaozhu Mei; Xuanzhe Liu (CoRR, 2020)

Black-Box Adversarial Attacks on Graph Neural Networks with Limited Node Access. - Jiaqi Ma 001; Shuangrui Ding; Qiaozhu Mei (CoRR, 2020)

Neural Language Generation: Formulation, Methods, and Evaluation. - Cristina Garbacea; Qiaozhu Mei (CoRR, 2020)

An Empirical Study on Explainable Prediction of Text Complexity: Preliminaries for Text Simplification. - Cristina Garbacea; Mengtian Guo; Samuel Carton; Qiaozhu Mei (CoRR, 2020)

Roaming Through the Castle Tunnels: An Empirical Analysis of Inter-app Navigation of Android Apps. - Yun Ma 002; Ziniu Hu; Diandian Gu; Li Zhou; Qiaozhu Mei; Gang Huang 001; Xuanzhe Liu (ACM Trans. Web, 2020)

Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification. - Cristina Garbacea; Mengtian Guo; Samuel Carton; Qiaozhu Mei (ACL/IJCNLP (1), 2021)

Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model. - Jiaqi Ma 001; Xinyang Yi; Weijing Tang; Zhe Zhao 001; Lichan Hong; Ed H. Chi; Qiaozhu Mei (AISTATS, 2021)

CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks. - Jiaqi Ma 001; Bo Chang 002; Xuefei Zhang; Qiaozhu Mei (ICLR, 2021)

Subgroup Generalization and Fairness of Graph Neural Networks. - Jiaqi Ma 001; Junwei Deng; Qiaozhu Mei (NeurIPS, 2021)

DeepRec: On-device Deep Learning for Privacy-Preserving Sequential Recommendation in Mobile Commerce. - Jialiang Han 001; Yun Ma 002; Qiaozhu Mei; Xuanzhe Liu (WWW, 2021)

Emojis Predict Dropouts of Remote Workers: An Empirical Study of Emoji Usage on GitHub. - Xuan Lu; Wei Ai 002; Zhenpeng Chen; Yanbin Cao; Xuanzhe Liu; Qiaozhu Mei (CoRR, 2021)

How Much of the Chemical Space Has Been Covered? Measuring and Improving the Variety of Candidate Set in Molecular Generation. - Yutong Xie 007; Ziqiao Xu; Jiaqi Ma 001; Qiaozhu Mei (CoRR, 2021)

When BERT meets Bilbo: a learning curve analysis of pretrained language model on disease classification. - Xuedong Li; Walter Yuan; Dezhong Peng; Qiaozhu Mei; Yue Wang 035 (BMC Medical Informatics Decis. Mak., 2021)

Operating Systems for Resource-adaptive Intelligent Software: Challenges and Opportunities. - Xuanzhe Liu; Shangguang Wang; Yun Ma 002; Ying Zhang 012; Qiaozhu Mei; Yunxin Liu 001; Gang Huang 001 (ACM Trans. Internet Techn., 2021)

Adapting Pre-trained Language Models to Low-Resource Text Simplification: The Path Matters. - Cristina Garbacea; Qiaozhu Mei (CoLLAs, 2022)

Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks. - Jiaqi Ma 001; Xingjian Zhang 002; Hezheng Fan; Jin Huang; Tianyue Li; Ting Wei Li; Yiwen Tu; Chenshu Zhu; Qiaozhu Mei (LoG, 2022)

Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem. - Jiaqi Ma 001; Junwei Deng; Qiaozhu Mei (WSDM, 2022)

Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling. - Jiaqi Ma 001; Xingjian Zhang 002; Qiaozhu Mei (WSDM, 2022)

SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks. - Weijing Tang; Jiaqi Ma 001; Qiaozhu Mei; Ji Zhu (J. Mach. Learn. Res., 2022)

Systematic Analysis of Fine-Grained Mobility Prediction With On-Device Contextual Data. - Huoran Li; Fuqi Lin; Xuan Lu; Chenren Xu; Gang Huang 001; Jun Zhang; Qiaozhu Mei; Xuanzhe Liu (IEEE Trans. Mob. Comput., 2022)

How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules. - Yutong Xie 007; Ziqiao Xu; Jiaqi Ma 001; Qiaozhu Mei (ICLR, 2023)

Team Resilience under Shock: An Empirical Analysis of GitHub Repositories during Early COVID-19 Pandemic. - Xuan Lu; Wei Ai 002; Yixin Wang; Qiaozhu Mei (ICWSM, 2023)

The 3rd Workshop on Graph Learning Benchmarks (GLB 2023). - Jiaqi Ma 001; Jiong Zhu; Yuxiao Dong; Danai Koutra; Jingrui He; Qiaozhu Mei; Anton Tsitsulin; Xingjian Zhang 002; Marinka Zitnik (KDD, 2023)

A Metadata-Driven Approach to Understand Graph Neural Networks. - Ting Wei Li; Qiaozhu Mei; Jiaqi Ma 001 (NeurIPS, 2023)

A Prompt Log Analysis of Text-to-Image Generation Systems. - Yutong Xie 007; Zhaoying Pan; Jinge Ma; Luo Jie; Qiaozhu Mei (WWW, 2023)

Ranking & Reweighting Improves Group Distributional Robustness. - Yachuan Liu; Bohan Zhang; Qiaozhu Mei; Paramveer Dhillon (CoRR, 2023)

Teach LLMs to Personalize - An Approach inspired by Writing Education. - Cheng Li 012; Mingyang Zhang 001; Qiaozhu Mei; Yaqing Wang 007; Spurthi Amba Hombaiah; Yi Liang; Michael Bendersky (CoRR, 2023)

Can LLMs Effectively Leverage Graph Structural Information: When and Why. - Jin Huang; Xingjian Zhang 002; Qiaozhu Mei; Jiaqi Ma 001 (CoRR, 2023)

Automatic Prompt Rewriting for Personalized Text Generation. - Cheng Li 012; Mingyang Zhang 001; Qiaozhu Mei; Weize Kong; Michael Bendersky (CoRR, 2023)

Meta Semantic Template for Evaluation of Large Language Models. - Yachuan Liu; Liang Chen 001; Jindong Wang 001; Qiaozhu Mei; Xing Xie 001 (CoRR, 2023)

Automated Evaluation of Personalized Text Generation using Large Language Models. - Yaqing Wang 007; Jiepu Jiang; Mingyang Zhang 001; Cheng Li 012; Yi Liang; Qiaozhu Mei; Michael Bendersky (CoRR, 2023)

Perspectives on Privacy in the Post-Roe Era: A Mixed-Methods of Machine Learning and Qualitative Analyses of Tweets. - Yawen Guo; Rachael Zehrung; Katie Genuario; Xuan Lu; Qiaozhu Mei; Yunan Chen; Kai Zheng 002 (CoRR, 2023)

A Turing Test: Are AI Chatbots Behaviorally Similar to Humans? - Qiaozhu Mei; Yutong Xie 007; Walter Yuan; Matthew O. Jackson (CoRR, 2023)

Partition-Based Active Learning for Graph Neural Networks. - Jiaqi Ma 001; Ziqiao Ma 001; Joyce Chai; Qiaozhu Mei (Trans. Mach. Learn. Res., 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Putting Teams into the Gig Economy: A Field Experiment at a Ride-Sharing Platform. - Wei Ai 002; Yan Chen 014; Qiaozhu Mei; Jieping Ye; Lingyu Zhang 001 (Manag. Sci., 2023)

Bridging the Preference Gap between Retrievers and LLMs. - Zixuan Ke; Weize Kong; Cheng Li 012; Mingyang Zhang 001; Qiaozhu Mei; Michael Bendersky (ACL (1), 2024)

PRewrite: Prompt Rewriting with Reinforcement Learning. - Weize Kong; Spurthi Amba Hombaiah; Mingyang Zhang 001; Qiaozhu Mei; Michael Bendersky (ACL (Short Papers), 2024)

Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach. - Zhuowan Li; Cheng Li 012; Mingyang Zhang 001; Qiaozhu Mei; Michael Bendersky (EMNLP (Industry Track), 2024)

Emoji Promotes Developer Participation and Issue Resolution on GitHub. - Yuhang Zhou; Xuan Lu; Ge Gao 001; Qiaozhu Mei; Wei Ai 002 (ICWSM, 2024)

The First Workshop on AI Behavioral Science. - Himabindu Lakkaraju; Qiaozhu Mei; Chenhao Tan; Jie Tang 001; Yutong Xie 007 (KDD, 2024)

The Second Workshop on Large Language Models for Individuals, Groups, and Society. - Michael Bendersky; Cheng Li 012; Qiaozhu Mei; Vanessa Murdock 001; Jie Tang 001; Hongning Wang; Hamed Zamani; Mingyang Zhang 001; Xingjian Zhang 002 (SIGIR, 2024)

WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society. - Michael Bendersky; Cheng Li 012; Qiaozhu Mei; Vanessa Murdock 001; Jie Tang 001; Hongning Wang; Hamed Zamani; Mingyang Zhang 001 (WSDM, 2024)

Learning to Rewrite Prompts for Personalized Text Generation. - Cheng Li 012; Mingyang Zhang 001; Qiaozhu Mei; Weize Kong; Michael Bendersky (WWW, 2024)

Low Mileage, High Fidelity: Evaluating Hypergraph Expansion Methods by Quantifying the Information Loss. - David Y. Kang; Qiaozhu Mei; Sang-Wook Kim (WWW, 2024)

PM2.5 forecasting under distribution shift: A graph learning approach. - Yachuan Liu; Jiaqi Ma 001; Paramveer Dhillon; Qiaozhu Mei (AI Open, 2024)

Unlocking the 'Why' of Buying: Introducing a New Dataset and Benchmark for Purchase Reason and Post-Purchase Experience. - Tao Chen 008; Siqi Zuo; Cheng Li 012; Mingyang Zhang 001; Qiaozhu Mei; Michael Bendersky (CoRR, 2024)

Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions. - Hua Shen 005; Tiffany Knearem; Reshmi Ghosh; Kenan Alkiek; Kundan Krishna; Yachuan Liu; Ziqiao Ma 001; Savvas Petridis; Yi-Hao Peng; Li Qiwei; Sushrita Rakshit; Chenglei Si; et al. (CoRR, 2024)

Using Artificial Intelligence to Unlock Crowdfunding Success for Small Businesses. - Teng Ye; Jingnan Zheng; Junhui Jin; Jingyi Qiu; Wei Ai 002; Qiaozhu Mei (CoRR, 2024)

Content Quality vs. Attention Allocation: An LLM-Based Case Study in Peer-to-peer Mental Health Networks. - Teng Ye; Hanson Yan; Xuhuan Huang; Connor Grogan; Walter Yuan; Qiaozhu Mei; Matthew O. Jackson (CoRR, 2024)

Bridging AI and Science: Implications from a Large-Scale Literature Analysis of AI4Science. - Yutong Xie 007; Yijun Pan; Hua Xu 001; Qiaozhu Mei (CoRR, 2024)

How Different AI Chatbots Behave? Benchmarking Large Language Models in Behavioral Economics Games. - Yutong Xie 007; Yiyao Liu; Zhuang Ma; Lin Shi; Xiyuan Wang; Walter Yuan; Matthew O. Jackson; Qiaozhu Mei (CoRR, 2024)

Map2Text: New Content Generation from Low-Dimensional Visualizations. - Xingjian Zhang 002; Ziyang Xiong; Shixuan Liu; Yutong Xie 007; Tolga Ergen; Dongsub Shim; Hua Xu 001; Honglak Lee; Qiaozhu Mei (CoRR, 2024)

Can LLMs Effectively Leverage Graph Structural Information through Prompts, and Why? - Jin Huang; Xingjian Zhang 002; Qiaozhu Mei; Jiaqi Ma 001 (Trans. Mach. Learn. Res., 2024)

Adoption of Recurrent Innovations: A Large-Scale Case Study on Mobile App Updates. - Fuqi Lin; Xuan Lu; Wei Ai 002; Huoran Li; Yun Ma 002; Yulian Yang; Hongfei Deng; Qingxiang Wang; Qiaozhu Mei; Xuanzhe Liu (ACM Trans. Web, 2024)

MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows. - Xingjian Zhang 002; Yutong Xie 007; Jin Huang; Jinge Ma; Zhaoying Pan; Qijia Liu; Ziyang Xiong; Tolga Ergen; Dongsub Shim; Honglak Lee; Qiaozhu Mei (NAACL (Findings), 2025)

Leveraging Group-Level Signals for Robust Many-Domain Generalization. - Bohan Zhang; Yachuan Liu; Qiaozhu Mei; Paramveer S. Dhillon (PAKDD (3), 2025)

Why is constrained neural language generation particularly challenging? - Cristina Garbacea; Qiaozhu Mei (Trans. Mach. Learn. Res., 2025)

Reasoning-Enhanced Self-Training for Long-Form Personalized Text Generation. - Alireza Salemi; Cheng Li 012; Mingyang Zhang 001; Qiaozhu Mei; Weize Kong; Tao Chen 008; Zhuowan Li; Michael Bendersky; Hamed Zamani (CoRR, 2025)

Efficient Estimation of Shortest-Path Distance Distributions to Samples in Graphs. - Alan Zhu 001; Jiaqi Ma 001; Qiaozhu Mei (CoRR, 2025)

Using Language Models to Decipher the Motivation Behind Human Behaviors. - Yutong Xie 007; Qiaozhu Mei; Walter Yuan; Matthew O. Jackson (CoRR, 2025)

ExAnte: A Benchmark for Ex-Ante Inference in Large Language Models. - Yachuan Liu; Xiaochun Wei; Lin Shi; Xinnuo Li; Bohan Zhang; Paramveer Dhillon; Qiaozhu Mei (CoRR, 2025)

Be.FM: Open Foundation Models for Human Behavior. - Yutong Xie 007; Zhuoheng Li; Xiyuan Wang; Yijun Pan; Qijia Liu; Xingzhi Cui; Kuang-Yu Lo; Ruoyi Gao; Xingjian Zhang 002; Jin Huang; Walter Yuan; Matthew O. Jackson; et al. (CoRR, 2025)