Qiaozhu Mei

发表

The dual-sparse topic model: mining focused topics and focused terms in short text

Hong Cheng, Tianyi Lin, Wentao Tian, 2014, WWW.

Matching Consumer Health Vocabulary with Professional Medical Terms Through Concept Embedding

Yue Wang, Kai Zheng, Hua Xu, 2017, AMIA.

Extracting relations from traditional Chinese medicine literature via heterogeneous entity networks

Marie-Francine Moens, Jie Tang, Qiaozhu Mei, 2016, J. Am. Medical Informatics Assoc..

A knowledge flow driven e-learning architecture design: what is its stratification and how is it personalized

Qiaozhu Mei, Junrong Shen, 2002, International Conference on Computers in Education, 2002. Proceedings..

Audience Analysis for Competing Memes in Social Media

Qiaozhu Mei, Paul Resnick, Eytan Adar, 2021, ICWSM.

The Strength of the Weakest Supervision: Topic Classification Using Class Labels

Yue Wang, Kai Zheng, Qiaozhu Mei, 2019, NAACL.

Learning from the ubiquitous language: an empirical analysis of emoji usage of smartphone users

Ning Wang, Xuanzhe Liu, Qian Li, 2016, UbiComp.

Beyond Ranking: Optimizing Whole-Page Presentation

Yue Wang, Makoto Yamada, Qiaozhu Mei, 2016, WSDM.

Creating a Labeled Dataset for Medical Misinformation in Health Forums

Qiaozhu Mei, V. G. Vinod Vydiswaran, Kate Barron, 2017, 2017 IEEE International Conference on Healthcare Informatics (ICHI).

Cross-Lingual Latent Topic Extraction

ChengXiang Zhai, Qiaozhu Mei, Duo Zhang, 2010, ACL.

Towards Twitter context summarization with user influence models

Yan Liu, Qiaozhu Mei, Yi Chang, 2013, WSDM.

On the Real-time Prediction Problems of Bursting Hashtags in Twitter pdf

Zhe Zhao, Qiaozhu Mei, Ling Feng, 2014, ArXiv.

How Do Healthcare Professionals Personalize Their Software? A Pilot Exploration Based on an Electronic Health Records Search Engine

Kai Zheng, Julia Adler-Milstein, Qiaozhu Mei, 2019, MedInfo.

Promotion Analysis in Multi-Dimensional Space

Jiawei Han, Qiaozhu Mei, Dong Xin, 2009, Proc. VLDB Endow..

GenDeR: A Generic Diversified Ranking Algorithm

Jingrui He, Hanghang Tong, Boleslaw K. Szymanski, 2012, NIPS.

Understanding the Patterns of Health Information Dissemination on Social Media during the Zika Outbreak

Yue Wang, Kai Zheng, Qiaozhu Mei, 2017, AMIA.

Topic sentiment mixture: modeling facets and opinions in weblogs

Xu Ling, ChengXiang Zhai, Qiaozhu Mei, 2007, WWW '07.

Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation pdf

Qiaozhu Mei, Cristina Garbacea, Samuel Carton, 2019, EMNLP.

User-Created Groups in Health Forums: What Makes Them Special?

Kai Zheng, Qiaozhu Mei, V. G. Vinod Vydiswaran, 2014, ICWSM.

Classifying the Political Leaning of News Articles and Users from User Votes

Qiaozhu Mei, Paul Resnick, Daniel Xiaodan Zhou, 2011, ICWSM.

Roaming Through the Castle Tunnels

Li Zhou, Xuanzhe Liu, Qiaozhu Mei, 2020, ACM Trans. Web.

Identify Shifts of Word Semantics through Bayesian Surprise

Zhe Zhao, Qiaozhu Mei, Fei Wu, 2018, SIGIR.

Untangling Emoji Popularity Through Semantic Embeddings

Ning Wang, Xuanzhe Liu, Gang Huang, 2017, ICWSM.

Applying MetaMap to Medline for identifying novel associations in a large clinical dataset: a feasibility analysis

Naren Ramakrishnan, Kai Zheng, Mohammed Saeed, 2014, J. Am. Medical Informatics Assoc..

Mining Device-Specific Apps Usage Patterns from Appstore Big Data

Xuanzhe Liu, Qiaozhu Mei, Huoran Li, 2018 .

SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks pdf

Qiaozhu Mei, Weijing Tang, Jiaqi Ma, 2020, ArXiv.

Query suggestion using hitting time

Kenneth Ward Church, Qiaozhu Mei, Dengyong Zhou, 2008, CIKM '08.

Predicting bursts and popularity of hashtags in real-time

Zhe Zhao, Qiaozhu Mei, Ling Feng, 2014, SIGIR.

A Study of Active Learning Methods for Clinical Entities Recognition

Hua Xu, Joshua C. Denny, Qiaozhu Mei, 2013, American Medical Informatics Association Annual Symposium.

"I loan because...": understanding motivations for pro-social lending

Yang Liu, Qiaozhu Mei, Yan Chen, 2012, WSDM '12.

Accurate language model estimation with document expansion

Tao Tao, ChengXiang Zhai, Qiaozhu Mei, 2005, CIKM '05.

Unexpected Relevance: An Empirical Study of Serendipity in Retweets

Tao Sun, Qiaozhu Mei, Ming Zhang, 2013, ICWSM.

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)

Kai Zheng, Qiaozhu Mei, James Law, 2015, J. Biomed. Informatics.

Entropy of search logs: how hard is search? with personalization? with backoff?

Kenneth Ward Church, Qiaozhu Mei, Q. Mei, 2008, WSDM '08.

Improving rare disease classification using imperfect knowledge graph

Yue Wang, Dezhong Peng, Qiaozhu Mei, 2019, 2019 IEEE International Conference on Healthcare Informatics (ICHI).

An Empirical Study on Explainable Prediction of Text Complexity: Preliminaries for Text Simplification pdf

Qiaozhu Mei, Cristina Garbacea, Samuel Carton, 2020, ArXiv.

Cost-aware active learning for named entity recognition in clinical text

Qingxia Chen, Trevor Cohen, Hua Xu, 2015, J. Am. Medical Informatics Assoc..

Searching and Tagging: Two Sides of the Same Coin?

ChengXiang Zhai, Qiaozhu Mei, Hang Su, 2007 .

ReQ-ReC: high recall retrieval with query pooling and interactive classification

Yue Wang, Cheng Li, Qiaozhu Mei, 2014, SIGIR.

Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users pdf

Xuanzhe Liu, Qiaozhu Mei, Wei Ai, 2017, WWW.

A mixture model for contextual text mining

ChengXiang Zhai, Qiaozhu Mei, ChengXiang Zhai, 2006, KDD '06.

IU Progress Report January 2013

Filippo Menczer, Alessandro Flammini, Qiaozhu Mei, 2013 .

Visualization Large-scale and High-dimensional Data pdf

Jingzhou Liu, Qiaozhu Mei, Ming Zhang, 2016, arXiv.org.

Automatically Generating Gene Summaries from Biomedical Literature

Xin He, Xu Ling, Bruce R. Schatz, 2005, Pacific Symposium on Biocomputing.

CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks pdf

Qiaozhu Mei, Xuefei Zhang, Jiaqi Ma, 2020, ICLR.

Rumor has it: Identifying Misinformation in Microblogs

Dragomir R. Radev, Qiaozhu Mei, Vahed Qazvinian, 2011, EMNLP.

DESPIC: Detecting Early Signatures of Persuasion in Information Cascades

Filippo Menczer, Alessandro Flammini, Qiaozhu Mei, 2015 .

Real-Time Predicting Bursting Hashtags on Twitter

Zhe Zhao, Qiaozhu Mei, Ling Feng, 2014, WAIM.

Discovering interesting patterns through user's interactive feedback

Jiawei Han, Qiaozhu Mei, Dong Xin, 2006, KDD '06.

Clinical Word Sense Disambiguation with Interactive Search and Classification

Yue Wang, Kai Zheng, Hua Xu, 2016, AMIA.

Context Comparison of Bursty Events in Web Search and Online Media

Qiaozhu Mei, Cindy Xide Lin, Yunliang Jiang, 2010, EMNLP.

"Look Ma, No Hands!" A Parameter-Free Topic Model pdf

Qiaozhu Mei, Ming Zhang, Jian Tang, 2014, ArXiv.

Query log analysis of an electronic health record search engine.

Lei Yang, Kai Zheng, Qiaozhu Mei, 2011, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Complexities, variations, and errors of numbering within clinical notes: the potential impact on information extraction and cohort-identification

Chunhua Weng, Qiaozhu Mei, V. G. Vinod Vydiswaran, 2019, BMC Medical Informatics and Decision Making.

Mining Usage Data from Large-Scale Android Users: Challenges and Opportunities

Xuanzhe Liu, Tao Xie, Gang Huang, 2016, 2016 IEEE/ACM International Conference on Mobile Software Engineering and Systems (MOBILESoft).

Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification

Xuanzhe Liu, Qiaozhu Mei, Sheng Shen, 2018, WWW.

PRADO: Predicting App Adoption by Learning the Correlation between Developer-Controllable Properties and User Behaviors

Xuanzhe Liu, Tao Xie, Qiaozhu Mei, 2017, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

Interactive Medical Word Sense Disambiguation with Instance and Feature Labeling

Yue Wang, Kai Zheng, Hua Xu, 2017, AMIA.

Graph Representation Learning via Multi-task Knowledge Distillation pdf

Qiaozhu Mei, Jiaqi Ma, Q. Mei, 2019, ArXiv.

Numerical Age Variations within Clinical Notes: The Potential Impact on De-Identification and Information Extraction

Chunhua Weng, Qiaozhu Mei, V. G. Vinod Vydiswaran, 2018, 2018 IEEE International Conference on Healthcare Informatics Workshop (ICHI-W).

IU Progress Report May 2013

Filippo Menczer, Alessandro Flammini, Qiaozhu Mei, 2013 .

Hedging their Mets: The Use of Uncertainty Terms in Clinical Documents and its Potential Implications when Sharing the Documents with Patients

Kai Zheng, Qiaozhu Mei, David A. Hanauer, 2012, AMIA.

Dragomir R. Radev, Qiaozhu Mei, Pradeep Muthukrishnan, 2011, Graph-based Methods for Natural Language Processing.

DeepGraph: Graph Structure Predicts Network Growth pdf

Cheng Li, Xiaoxiao Guo, Qiaozhu Mei, 2016, ArXiv.

Template extraction from candidate template set generation: a structure and content approach

Qiaozhu Mei, Hang Su, 2005, ACM-SE 43.

Predicting Individual Treatment Effects of Large-scale Team Competitions in a Ride-sharing Economy

Qiaozhu Mei, Teng Ye, Jieping Ye, 2020, KDD.

Understanding Diverse Usage Patterns from Large-Scale Appstore-Service Profiles

Xuanzhe Liu, Tao Xie, Qiaozhu Mei, 2017, IEEE Transactions on Software Engineering.

EgoSet: Exploiting Word Ego-networks and User-generated Ontology for Multifaceted Set Expansion

Zhe Chen, Xin Rong, Qiaozhu Mei, 2016, WSDM.

Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts

Qiaozhu Mei, Paul Resnick, Samuel Carton, 2018, EMNLP.

A study of Poisson query generation model for information retrieval

ChengXiang Zhai, Qiaozhu Mei, Hui Fang, 2007, SIGIR.

Generating gene summaries from biomedical literature: A study of semi-structured summarization

Xin He, Xu Ling, Bruce R. Schatz, 2007, Inf. Process. Manag..

From Text to Exhibitions: A New Approach for E-Learning on Language and Literature based on Text Mining

Qiaozhu Mei, Junfeng Hu, 2004 .

Mash Droid: An Approach to Mobile-Oriented Dynamic Services Discovery and Composition by In-App Search

Xuanzhe Liu, Yunxin Liu, Feng Feng, 2015, 2015 IEEE International Conference on Web Services.

DivRank: the interplay of prestige and diversity in information networks

Dragomir R. Radev, Qiaozhu Mei, Jian Guo, 2010, KDD.

Diffusion of innovations revisited: from social network to innovation network

Xin Rong, Qiaozhu Mei, Xin Rong, 2013, CIKM.

Caveats of Using Social Media Data for Medical Research: A Report from a Study on Eye-Related Symptoms in Tweets

Kai Zheng, Qiaozhu Mei, David A. Hanauer, 2015, AMIA.

Applying active learning to supervised word sense disambiguation in MEDLINE

Kai Zheng, Hua Xu, Qiaozhu Mei, 2013, J. Am. Medical Informatics Assoc..

Context-aware Natural Language Generation with Recurrent Neural Networks pdf

Yifan Yang, Qiaozhu Mei, Ming Zhang, 2016, ArXiv.

Voice-dictated versus typed-in clinician notes: linguistic properties and the potential implications on natural language processing.

Lei Yang, Kai Zheng, Qiaozhu Mei, 2011, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Generating semantic annotations for frequent patterns with context analysis

Jiawei Han, Hong Cheng, ChengXiang Zhai, 2006, KDD '06.

Does team competition increase pro-social lending? Evidence from online microfinance

Qiaozhu Mei, Yan Chen, Yang Liu, 2017, Games Econ. Behav..

Applying Multiple Methods to Assess the Readability of a Large Corpus of Medical Documents

Kai Zheng, Qiaozhu Mei, David A. Hanauer, 2013, MedInfo.

Assessing the readability of ClinicalTrials.gov

Kai Zheng, Kevyn Collins-Thompson, Qiaozhu Mei, 2016, J. Am. Medical Informatics Assoc..

BeeSpace Navigator: exploratory analysis of gene function using semantic indexing of biological literature

Xin He, Xu Ling, Bruce R. Schatz, 2011, Nucleic Acids Res..

Understanding Diverse Smarpthone Usage Patterns from Large-Scale Appstore-Service Profiles

Xuanzhe Liu, Hong Mei, Tao Xie, 2017 .

Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users

Xuanzhe Liu, Qiaozhu Mei, Wei Ai, 2017, WWW.

Voting with Their Feet: Inferring User Preferences from App Management Activities

Xuanzhe Liu, Gang Huang, Feng Feng, 2016, WWW.

A general optimization framework for smoothing language models on graph structures

ChengXiang Zhai, Qiaozhu Mei, Duo Zhang, 2008, SIGIR '08.

One theme in all views: modeling consensus topics in multiple contexts

Qiaozhu Mei, Ming Zhang, Jian Tang, 2013, KDD.

Location Bias of Identifiers in Clinical Narratives

Kai Zheng, Qiaozhu Mei, Bradley Malin, 2013, AMIA.

Multiple Queries as Bandit Arms

Cheng Li, Qiaozhu Mei, Paul Resnick, 2016, CIKM.

Automatic labeling of multinomial topic models

ChengXiang Zhai, Qiaozhu Mei, Xuehua Shen, 2007, KDD '07.

A Flexible Generative Framework for Graph-based Semi-supervised Learning pdf

Qiaozhu Mei, Weijing Tang, Jiaqi Ma, 2019, NeurIPS.

An active learning-enabled annotation system for clinical named entity recognition

Qingxia Chen, Jingqi Wang, Hua Xu, 2017, BMC Medical Informatics and Decision Making.

Towards More Practical Adversarial Attacks on Graph Neural Networks

Qiaozhu Mei, Jiaqi Ma, Shuangrui Ding, 2020, NeurIPS.

LINE: Large-scale Information Network Embedding

Mingzhe Wang, Qiaozhu Mei, Ming Zhang, 2015, WWW.

A User-in-the-Loop Process for Investigational Search: Foreseer in TREC 2013 Microblog Track

Yue Wang, Cheng Li, Qiaozhu Mei, 2013, TREC.

Edge Weight Regularization over Multiple Graphs for Similarity Learning

Dragomir R. Radev, Qiaozhu Mei, Pradeep Muthukrishnan, 2010, 2010 IEEE International Conference on Data Mining.

Improving rare disease classification using imperfect knowledge graph

Yue Wang, Dezhong Peng, Qiaozhu Mei, 2019, BMC Medical Informatics and Decision Making.

Black-Box Adversarial Attacks on Graph Neural Networks with Limited Node Access pdf

Qiaozhu Mei, Jiaqi Ma, Shuangrui Ding, 2020, ArXiv.

A probabilistic approach to spatiotemporal theme pattern mining on weblogs

Chao Liu, ChengXiang Zhai, Qiaozhu Mei, 2006, WWW '06.

Language Model Information Retrieval with Document Expansion

Tao Tao, ChengXiang Zhai, Qiaozhu Mei, 2006, NAACL.

Modeling hidden topics on document manifold

Jiawei Han, Deng Cai, ChengXiang Zhai, 2008, CIKM '08.

Predicting Smartphone Battery Life based on Comprehensive and Real-time Usage Data pdf

Xuanzhe Liu, Qiaozhu Mei, Huoran Li, 2018, ArXiv.

Neural Architecture Search over Decentralized Data pdf

Kaigui Bian, Xuanzhe Liu, Qiaozhu Mei, 2020, ArXiv.

DeepCas: An End-to-end Predictor of Information Cascades

Cheng Li, Xiaoxiao Guo, Qiaozhu Mei, 2016, WWW.

Identity-sensitive Word Embedding through Heterogeneous Networks pdf

Jian Tang, Qiaozhu Mei, Meng Qu, 2016, ArXiv.

UMSIForeseer at SemEval-2020 Task 11: Propaganda Detection by Fine-Tuning BERT with Resampling and Ensemble Learning

Qiaozhu Mei, Cristina Garbacea, Yunzhe Jiang, 2020, SemEval@COLING.

Identifying Patterns Indicative of Copying/Pasting Behavior in Patient Generated Online Content

Kai Zheng, Qiaozhu Mei, Tera L. Reynolds, 2015, AMIA.

Joint Modeling of Text and Networks for Cascade Prediction

Cheng Li, Xiaoxiao Guo, Qiaozhu Mei, 2018, ICWSM.

Federated Neural Architecture Search

Kaigui Bian, Xuanzhe Liu, Qiaozhu Mei, 2020 .

End-to-end Learning for Short Text Expansion

Yue Wang, Kai Zheng, Jian Tang, 2017, KDD.

Contextual text mining

ChengXiang Zhai, Qiaozhu Mei, 2009 .

Discovering evolutionary theme patterns from text: an exploration of temporal text mining

ChengXiang Zhai, Qiaozhu Mei, ChengXiang Zhai, 2005, KDD '05.

Characterizing Smartphone Usage Patterns from Millions of Android Users

Kaigui Bian, Xuanzhe Liu, Tao Xie, 2015, Internet Measurement Conference.

Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model pdf

Qiaozhu Mei, Weijing Tang, Ed H. Chi, 2020, AISTATS.

PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks

Qiaozhu Mei, Meng Qu, Jian Tang, 2015, KDD.

Deriving User Preferences of Mobile Apps from Their Management Activities

Xuanzhe Liu, Gang Huang, Feng Feng, 2017, ACM Trans. Inf. Syst..

Feature Engineering for Text Data

ChengXiang Zhai, Qiaozhu Mei, Chase Geigle, 2018 .

Collaborative search in electronic health records

Kai Zheng, Qiaozhu Mei, David A. Hanauer, 2011, J. Am. Medical Informatics Assoc..

An analysis framework for search sequences

Ravi Kumar, Andrew Tomkins, Qiaozhu Mei, 2009, CIKM.

Exploring social tagging graph for web object classification

Rui Li, Jiawei Han, Qiaozhu Mei, 2009, KDD.

Questions about questions: an empirical analysis of information needs on Twitter

Zhe Zhao, Qiaozhu Mei, Q. Mei, 2013, WWW.

PRADA: Prioritizing Android Devices for Apps by Mining Large-Scale Usage Data

Xuanzhe Liu, Tao Xie, Gang Huang, 2016, 2016 IEEE/ACM 38th International Conference on Software Engineering (ICSE).

Optimizing Whole-Page Presentation for Web Search

Yue Wang, Makoto Yamada, Qiaozhu Mei, 2018, ACM Trans. Web.

The DARPA Twitter Bot Challenge

Amos Azaria, Kristina Lerman, V. S. Subrahmanian, 2016, Computer.

Learning from Medical Summaries: The University of Michigan at TREC 2015 Clinical Decision Support Track

Qiaozhu Mei, V. G. Vinod Vydiswaran, Fengmin Hu, 2015, TREC.

Generating Impact-Based Summaries for Scientific Literature

ChengXiang Zhai, Qiaozhu Mei, ChengXiang Zhai, 2008, ACL.

SEntiMoji: an emoji-powered learning approach for sentiment analysis in software engineering

Xuanzhe Liu, Qiaozhu Mei, Zhenpeng Chen, 2019, ESEC/SIGSOFT FSE.

Semantic annotation of frequent patterns

Jiawei Han, Hong Cheng, ChengXiang Zhai, 2007, TKDD.

Automatic Web Tagging and Person Tagging Using Language Models

Yi Zhang, Qiaozhu Mei, Yi Zhang, 2008, ADMA.

Modeling the Interplay Between Individual Behavior and Network Distributions pdf

Nitesh V. Chawla, Yuxiao Dong, Reid A. Johnson, 2015, ArXiv.

DeepType

Xuanzhe Liu, Qiaozhu Mei, Kang Huang, 2018, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

Click-through Prediction for Advertising in Twitter Timeline

Dong Wang, Yue Lu, Cheng Li, 2015, KDD.

Less is More: Learning Prominent and Diverse Topics for Data Summarization pdf

Qiaozhu Mei, Ming Zhang, Jian Tang, 2016, ArXiv.

A knowledge processing oriented life cycle study from a Digital Museum system

Qiaozhu Mei, 2004, ACM-SE 42.

Personalized tag recommendation using graph-based ranking on multi-type interrelated objects

Chun Chen, Jiajun Bu, Can Wang, 2009, SIGIR.

The Joint Inference of Topic Diffusion and Evolution in Social Communities

Jiawei Han, Qiaozhu Mei, Cindy Xide Lin, 2011, 2011 IEEE 11th International Conference on Data Mining.

Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis

Qiaozhu Mei, Ming Zhang, XuanLong Nguyen, 2014, ICML.

Real Time Active Learning Study for Clinical Named Entity Recognition

Qingxia Chen, Jingqi Wang, Hua Xu, 2015, American Medical Informatics Association Annual Symposium.

Find the Conversation Killers: A Predictive Study of Thread-ending Posts

Cheng Li, Qiaozhu Mei, Fei Wu, 2017, WWW.

Mining Consumer Health Vocabulary from Community-Generated Text

Kai Zheng, Qiaozhu Mei, V. G. Vinod Vydiswaran, 2014, AMIA.

Decoding the New World Language: Analyzing the Popularity, Roles, and Utility of Emojis

Qiaozhu Mei, Q. Mei, 2019, WWW.

Mining multi-faceted overviews of arbitrary topics in a text collection

Xu Ling, Bruce R. Schatz, ChengXiang Zhai, 2008, KDD.

Enquiring Minds: Early Detection of Rumors in Social Media from Enquiry Posts

Qiaozhu Mei, Zhe Zhao, Paul Resnick, 2015, WWW.

PET: a statistical model for popular events tracking in social communities

Bo Zhao, Jiawei Han, Qiaozhu Mei, 2010, KDD.

Roaming across the Castle Tunnels: an Empirical Study of Inter-App Navigation Behaviors of Android Users pdf

Yun Ma, Jian Tang, Qiaozhu Mei, 2017, ArXiv.

Feature-Based Explanations Don't Help People Detect Misclassifications of Online Toxicity

Qiaozhu Mei, Paul Resnick, Samuel Carton, 2020, ICWSM.

Neural Language Generation: Formulation, Methods, and Evaluation pdf

Qiaozhu Mei, Cristina Garbacea, Q. Mei, 2020, ArXiv.

We know what @you #tag: does the dual role affect hashtag adoption?

Lei Yang, Tao Sun, Qiaozhu Mei, 2012, WWW.

A Descriptive Analysis of a Large-Scale Collection of App Management Activities

Xuanzhe Liu, Feng Feng, Qiaozhu Mei, 2015, WWW.

Visualizing Large-scale and High-dimensional Data

Jingzhou Liu, Qiaozhu Mei, Ming Zhang, 2016, WWW.

Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification (Extended Abstract)

Xuanzhe Liu, Qiaozhu Mei, Ziniu Hu, 2020, IJCAI.

Development and empirical user-centered evaluation of semantically-based query recommendation for an electronic health record search engine

Kai Zheng, Qiaozhu Mei, V. G. Vinod Vydiswaran, 2017, Journal of Biomedical Informatics.

Topic modeling with network regularization

Deng Cai, ChengXiang Zhai, Qiaozhu Mei, 2008, WWW.

A Preliminary Study of Coupling Transfer Learning with Active Learning for Clinical Named Entity Recognition between Two Institutions

Yaoyun Zhang, Hua Xu, Joshua C. Denny, 2014, AMIA.

Investigating task performance of probabilistic topic models: an empirical study of PLSA and LDA

Yue Lu, ChengXiang Zhai, Qiaozhu Mei, 2011, Information Retrieval.

Deep Memory Networks for Attitude Identification

Cheng Li, Xiaoxiao Guo, Qiaozhu Mei, 2017, WSDM.

Interactive medical word sense disambiguation through informed learning

Yue Wang, Kai Zheng, Hua Xu, 2018, J. Am. Medical Informatics Assoc..

A study of active learning methods for named entity recognition in clinical text

Hua Xu, Joshua C. Denny, Qiaozhu Mei, 2015, J. Biomed. Informatics.

Exploiting Knowledge Graph to Improve Text-based Prediction

ChengXiang Zhai, Qiaozhu Mei, Shan Jiang, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem pdf

Qiaozhu Mei, Jiaqi Ma, Junwei Deng, 2021, WSDM.

CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks pdf

Qiaozhu Mei, Jiaqi Ma, Bo Chang, 2021, ICLR.

Emojis predict dropouts of remote workers: An empirical study of emoji usage on GitHub

Qiaozhu Mei, Wei Ai, Zhenpeng Chen, 2021, PloS one.

Partition-Based Active Learning for Graph Neural Networks

Qiaozhu Mei, Jiaqi Ma, Ziqiao Ma, 2022 .

How Much of the Chemical Space Has Been Covered? Measuring and Improving the Variety of Candidate Set in Molecular Generation pdf

Qiaozhu Mei, Yutong Xie, Jiaqi Ma, 2021, ArXiv.

Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model

Qiaozhu Mei, Weijing Tang, Ed H. Chi, 2021, AISTATS.

DeepRec: On-device Deep Learning for Privacy-Preserving Sequential Recommendation in Mobile Commerce

Qiaozhu Mei, Yun Ma, Xuanzhe Liu, 2021, WWW.

Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling pdf

Qiaozhu Mei, Jiaqi Ma, Xingjian Zhang, 2021, WSDM.

Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification

Qiaozhu Mei, Cristina Garbacea, Samuel Carton, 2021, ACL/IJCNLP.

Subgroup Generalization and Fairness of Graph Neural Networks pdf

Qiaozhu Mei, Jiaqi Ma, Junwei Deng, 2021, NeurIPS.

Operating Systems for Resource-adaptive Intelligent Software: Challenges and Opportunities

Yunxin Liu, Shangguang Wang, Gang Huang, 2021, ACM Trans. Internet Techn..

A Note on EM Algorithm for Probabilistic Latent Semantic Analysis

ChengXiang Zhai, Qiaozhu Mei, 2008 .

Inferring the Diffusion and Evolution of Topics in Social Communities

Jiawei Han, Qiaozhu Mei, Cindy Xide Lin, 2011 .

Use of Social Media in the Diabetes Community: An Exploratory Analysis of Diabetes-Related Tweets

Qiaozhu Mei, David A Hanauer, Yang Liu, 2016, JMIR diabetes.

Recommending teams promotes prosocial lending in online microfinance

Qiaozhu Mei, Wei Ai, Roy Chen, 2016, Proceedings of the National Academy of Sciences.