Qiaozhu Mei

Affiliations:
  • University of Michigan, Ann Arbor, USA


According to our database1, Qiaozhu Mei authored at least 186 papers between 2002 and 2024.

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Bibliography

2024
Adoption of Recurrent Innovations: A Large-Scale Case Study on Mobile App Updates.
ACM Trans. Web, February, 2024

PRewrite: Prompt Rewriting with Reinforcement Learning.
CoRR, 2024

Bridging the Preference Gap between Retrievers and LLMs.
CoRR, 2024

2023
Putting Teams into the Gig Economy: A Field Experiment at a Ride-Sharing Platform.
Manag. Sci., September, 2023

Partition-Based Active Learning for Graph Neural Networks.
Trans. Mach. Learn. Res., 2023

A Turing Test: Are AI Chatbots Behaviorally Similar to Humans?
CoRR, 2023

Perspectives on Privacy in the Post-Roe Era: A Mixed-Methods of Machine Learning and Qualitative Analyses of Tweets.
CoRR, 2023

Automated Evaluation of Personalized Text Generation using Large Language Models.
CoRR, 2023

Meta Semantic Template for Evaluation of Large Language Models.
CoRR, 2023

Automatic Prompt Rewriting for Personalized Text Generation.
CoRR, 2023

Can LLMs Effectively Leverage Graph Structural Information: When and Why.
CoRR, 2023

Emoji Promotes Developer Participation and Issue Resolution on GitHub.
CoRR, 2023

Teach LLMs to Personalize - An Approach inspired by Writing Education.
CoRR, 2023

Ranking & Reweighting Improves Group Distributional Robustness.
CoRR, 2023

A Prompt Log Analysis of Text-to-Image Generation Systems.
Proceedings of the ACM Web Conference 2023, 2023

A Metadata-Driven Approach to Understand Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The 3rd Workshop on Graph Learning Benchmarks (GLB 2023).
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Team Resilience under Shock: An Empirical Analysis of GitHub Repositories during Early COVID-19 Pandemic.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Systematic Analysis of Fine-Grained Mobility Prediction With On-Device Contextual Data.
IEEE Trans. Mob. Comput., 2022

SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks.
J. Mach. Learn. Res., 2022

Why is constrained neural language generation particularly challenging?
CoRR, 2022

Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks.
Proceedings of the Learning on Graphs Conference, 2022

Adapting Pre-trained Language Models to Low-Resource Text Simplification: The Path Matters.
Proceedings of the Conference on Lifelong Learning Agents, 2022

2021
Operating Systems for Resource-adaptive Intelligent Software: Challenges and Opportunities.
ACM Trans. Internet Techn., 2021

When BERT meets Bilbo: a learning curve analysis of pretrained language model on disease classification.
BMC Medical Informatics Decis. Mak., 2021

How Much of the Chemical Space Has Been Covered? Measuring and Improving the Variety of Candidate Set in Molecular Generation.
CoRR, 2021

Emojis Predict Dropouts of Remote Workers: An Empirical Study of Emoji Usage on GitHub.
CoRR, 2021

DeepRec: On-device Deep Learning for Privacy-Preserving Sequential Recommendation in Mobile Commerce.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Subgroup Generalization and Fairness of Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks.
Proceedings of the 9th International Conference on Learning Representations, 2021

Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Roaming Through the Castle Tunnels: An Empirical Analysis of Inter-app Navigation of Android Apps.
ACM Trans. Web, 2020

An Empirical Study on Explainable Prediction of Text Complexity: Preliminaries for Text Simplification.
CoRR, 2020

Neural Language Generation: Formulation, Methods, and Evaluation.
CoRR, 2020

Black-Box Adversarial Attacks on Graph Neural Networks with Limited Node Access.
CoRR, 2020

Neural Architecture Search over Decentralized Data.
CoRR, 2020

UMSIForeseer at SemEval-2020 Task 11: Propaganda Detection by Fine-Tuning BERT with Resampling and Ensemble Learning.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Towards More Practical Adversarial Attacks on Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Predicting Individual Treatment Effects of Large-scale Team Competitions in a Ride-sharing Economy.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification (Extended Abstract).
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Feature-Based Explanations Don't Help People Detect Misclassifications of Online Toxicity.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Named Entity Recognition from Table Headers in Randomized Controlled Trial Articles.
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

Re-ranking Biomedical Literature for Precision Medicine with Pre-trained Neural Models.
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

2019
Improving rare disease classification using imperfect knowledge graph.
BMC Medical Informatics Decis. Mak., 2019

Complexities, variations, and errors of numbering within clinical notes: the potential impact on information extraction and cohort-identification.
BMC Medical Informatics Decis. Mak., 2019

Cost-aware active learning for named entity recognition in clinical text.
J. Am. Medical Informatics Assoc., 2019

Graph Representation Learning via Multi-task Knowledge Distillation.
CoRR, 2019

Decoding the New World Language: Analyzing the Popularity, Roles, and Utility of Emojis.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification.
Proceedings of the World Wide Web Conference, 2019

SEntiMoji: an emoji-powered learning approach for sentiment analysis in software engineering.
Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

A Flexible Generative Framework for Graph-based Semi-supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

The Strength of the Weakest Supervision: Topic Classification Using Class Labels.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

How Do Healthcare Professionals Personalize Their Software? A Pilot Exploration Based on an Electronic Health Records Search Engine.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Optimizing Whole-Page Presentation for Web Search.
ACM Trans. Web, 2018

Understanding Diverse Usage Patterns from Large-Scale Appstore-Service Profiles.
IEEE Trans. Software Eng., 2018

Interactive medical word sense disambiguation through informed learning.
J. Am. Medical Informatics Assoc., 2018

DeepType: On-Device Deep Learning for Input Personalization Service with Minimal Privacy Concern.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Ermes: Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification.
CoRR, 2018

Predicting Smartphone Battery Life based on Comprehensive and Real-time Usage Data.
CoRR, 2018

Find the Conversation Killers: A Predictive Study of Thread-ending Posts.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Identify Shifts of Word Semantics through Bayesian Surprise.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Joint Modeling of Text and Networks for Cascade Prediction.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

Numerical Age Variations within Clinical Notes: The Potential Impact on De-Identification and Information Extraction.
Proceedings of the IEEE International Conference on Healthcare Informatics Workshops, 2018

Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Exploiting Knowledge Graph to Improve Text-based Prediction.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Mining Device-Specific Apps Usage Patterns from Appstore Big Data.
Proceedings of the Big Data - 6th CCF Conference, 2018

2017
Deriving User Preferences of Mobile Apps from Their Management Activities.
ACM Trans. Inf. Syst., 2017

An active learning-enabled annotation system for clinical named entity recognition.
BMC Medical Informatics Decis. Mak., 2017

Development and empirical user-centered evaluation of semantically-based query recommendation for an electronic health record search engine.
J. Biomed. Informatics, 2017

PRADO: Predicting App Adoption by Learning the Correlation between Developer-Controllable Properties and User Behaviors.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Does team competition increase pro-social lending? Evidence from online microfinance.
Games Econ. Behav., 2017

Understanding Diverse Smarpthone Usage Patterns from Large-Scale Appstore-Service Profiles.
CoRR, 2017

Roaming across the Castle Tunnels: an Empirical Study of Inter-App Navigation Behaviors of Android Users.
CoRR, 2017

Through a Gender Lens: An Empirical Study of Emoji Usage over Large-Scale Android Users.
CoRR, 2017

DeepCas: An End-to-end Predictor of Information Cascades.
Proceedings of the 26th International Conference on World Wide Web, 2017

Deep Memory Networks for Attitude Identification.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

End-to-end Learning for Short Text Expansion.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Untangling Emoji Popularity Through Semantic Embeddings.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Creating a Labeled Dataset for Medical Misinformation in Health Forums.
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Matching Consumer Health Vocabulary with Professional Medical Terms Through Concept Embedding.
Proceedings of the AMIA 2017, 2017

Interactive Medical Word Sense Disambiguation with Instance and Feature Labeling.
Proceedings of the AMIA 2017, 2017

Understanding the Patterns of Health Information Dissemination on Social Media during the Zika Outbreak.
Proceedings of the AMIA 2017, 2017

2016
Assessing the readability of ClinicalTrials.gov.
J. Am. Medical Informatics Assoc., 2016

Extracting relations from traditional Chinese medicine literature via heterogeneous entity networks.
J. Am. Medical Informatics Assoc., 2016

Less is More: Learning Prominent and Diverse Topics for Data Summarization.
CoRR, 2016

Context-aware Natural Language Generation with Recurrent Neural Networks.
CoRR, 2016

Identity-sensitive Word Embedding through Heterogeneous Networks.
CoRR, 2016

Visualization Large-scale and High-dimensional Data.
CoRR, 2016

The DARPA Twitter Bot Challenge.
CoRR, 2016

DeepGraph: Graph Structure Predicts Network Growth.
CoRR, 2016

Visualizing Large-scale and High-dimensional Data.
Proceedings of the 25th International Conference on World Wide Web, 2016

Voting with Their Feet: Inferring User Preferences from App Management Activities.
Proceedings of the 25th International Conference on World Wide Web, 2016

Beyond Ranking: Optimizing Whole-Page Presentation.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

EgoSet: Exploiting Word Ego-networks and User-generated Ontology for Multifaceted Set Expansion.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Mining usage data from large-scale Android users: challenges and opportunities.
Proceedings of the International Conference on Mobile Software Engineering and Systems, 2016

PRADA: prioritizing android devices for apps by mining large-scale usage data.
Proceedings of the 38th International Conference on Software Engineering, 2016

Learning from the ubiquitous language: an empirical analysis of emoji usage of smartphone users.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

Multiple Queries as Bandit Arms.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Clinical Word Sense Disambiguation with Interactive Search and Classification.
Proceedings of the AMIA 2016, 2016

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).
J. Biomed. Informatics, 2015

A study of active learning methods for named entity recognition in clinical text.
J. Biomed. Informatics, 2015

Modeling the Interplay Between Individual Behavior and Network Distributions.
CoRR, 2015

Enquiring Minds: Early Detection of Rumors in Social Media from Enquiry Posts.
Proceedings of the 24th International Conference on World Wide Web, 2015

LINE: Large-scale Information Network Embedding.
Proceedings of the 24th International Conference on World Wide Web, 2015

A Descriptive Analysis of a Large-Scale Collection of App Management Activities.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Learning from Medical Summaries: The University of Michigan at TREC 2015 Clinical Decision Support Track.
Proceedings of The Twenty-Fourth Text REtrieval Conference, 2015

PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Click-through Prediction for Advertising in Twitter Timeline.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Characterizing Smartphone Usage Patterns from Millions of Android Users.
Proceedings of the 2015 ACM Internet Measurement Conference, 2015

Audience Analysis for Competing Memes in Social Media.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

Mash Droid: An Approach to Mobile-Oriented Dynamic Services Discovery and Composition by In-App Search.
Proceedings of the 2015 IEEE International Conference on Web Services, 2015

Identifying Patterns Indicative of Copying/Pasting Behavior in Patient Generated Online Content.
Proceedings of the AMIA 2015, 2015

Caveats of Using Social Media Data for Medical Research: A Report from a Study on Eye-Related Symptoms in Tweets.
Proceedings of the AMIA 2015, 2015

Real Time Active Learning Study for Clinical Named Entity Recognition.
Proceedings of the AMIA 2015, 2015

2014
Applying MetaMap to Medline for identifying novel associations in a large clinical dataset: a feasibility analysis.
J. Am. Medical Informatics Assoc., 2014

"Look Ma, No Hands!" A Parameter-Free Topic Model.
CoRR, 2014

On the Real-time Prediction Problems of Bursting Hashtags in Twitter.
CoRR, 2014

The dual-sparse topic model: mining focused topics and focused terms in short text.
Proceedings of the 23rd International World Wide Web Conference, 2014

Real-Time Predicting Bursting Hashtags on Twitter.
Proceedings of the Web-Age Information Management - 15th International Conference, 2014

ReQ-ReC: high recall retrieval with query pooling and interactive classification.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Predicting bursts and popularity of hashtags in real-time.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

User-Created Groups in Health Forums: What Makes Them Special?
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis.
Proceedings of the 31th International Conference on Machine Learning, 2014

Mining Consumer Health Vocabulary from Community-Generated Text.
Proceedings of the AMIA 2014, 2014

A Preliminary Study of Coupling Transfer Learning with Active Learning for Clinical Named Entity Recognition between Two Institutions.
Proceedings of the AMIA 2014, 2014

2013
Applying active learning to supervised word sense disambiguation in MEDLINE.
J. Am. Medical Informatics Assoc., 2013

Questions about questions: an empirical analysis of information needs on Twitter.
Proceedings of the 22nd International World Wide Web Conference, 2013

Towards Twitter context summarization with user influence models.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

A User-in-the-Loop Process for Investigational Search: Foreseer in TREC 2013 Microblog Track.
Proceedings of The Twenty-Second Text REtrieval Conference, 2013

Applying Multiple Methods to Assess the Readability of a Large Corpus of Medical Documents.
Proceedings of the MEDINFO 2013, 2013

One theme in all views: modeling consensus topics in multiple contexts.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Unexpected Relevance: An Empirical Study of Serendipity in Retweets.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

Diffusion of innovations revisited: from social network to innovation network.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Location Bias of Identifiers in Clinical Narratives.
Proceedings of the AMIA 2013, 2013

A Study of Active Learning Methods for Clinical Entities Recognition.
Proceedings of the AMIA 2013, 2013

2012
We know what @you #tag: does the dual role affect hashtag adoption?
Proceedings of the 21st World Wide Web Conference 2012, 2012

"I loan because...": understanding motivations for pro-social lending.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

GenDeR: A Generic Diversified Ranking Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Hedging their Mets: The Use of Uncertainty Terms in Clinical Documents and its Potential Implications when Sharing the Documents with Patients.
Proceedings of the AMIA 2012, 2012

2011
BeeSpace Navigator: exploratory analysis of gene function using semantic indexing of biological literature.
Nucleic Acids Res., 2011

Collaborative search in electronic health records.
J. Am. Medical Informatics Assoc., 2011

Investigating task performance of probabilistic topic models: an empirical study of PLSA and LDA.
Inf. Retr., 2011

Simultaneous Similarity Learning and Feature-Weight Learning for Document Clustering.
Proceedings of the 2011 Workshop on Graph-based Methods for Natural Language Processing, 2011

Classifying the Political Leaning of News Articles and Users from User Votes.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

The Joint Inference of Topic Diffusion and Evolution in Social Communities.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Rumor has it: Identifying Misinformation in Microblogs.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

2010
DivRank: the interplay of prestige and diversity in information networks.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

PET: a statistical model for popular events tracking in social communities.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Edge Weight Regularization over Multiple Graphs for Similarity Learning.
Proceedings of the ICDM 2010, 2010

Context Comparison of Bursty Events in Web Search and Online Media.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Cross-Lingual Latent Topic Extraction.
Proceedings of the ACL 2010, 2010

2009
Contextual text mining
PhD thesis, 2009

Promotion Analysis in Multi-Dimensional Space.
Proc. VLDB Endow., 2009

Personalized tag recommendation using graph-based ranking on multi-type interrelated objects.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Exploring social tagging graph for web object classification.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

An analysis framework for search sequences.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Topic modeling with network regularization.
Proceedings of the 17th International Conference on World Wide Web, 2008

Entropy of search logs: how hard is search? with personalization? with backoff?
Proceedings of the International Conference on Web Search and Web Data Mining, 2008

A general optimization framework for smoothing language models on graph structures.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Mining multi-faceted overviews of arbitrary topics in a text collection.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Query suggestion using hitting time.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Modeling hidden topics on document manifold.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Automatic Web Tagging and Person Tagging Using Language Models.
Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008

Generating Impact-Based Summaries for Scientific Literature.
Proceedings of the ACL 2008, 2008

2007
Semantic annotation of frequent patterns.
ACM Trans. Knowl. Discov. Data, 2007

Generating gene summaries from biomedical literature: A study of semi-structured summarization.
Inf. Process. Manag., 2007

Topic sentiment mixture: modeling facets and opinions in weblogs.
Proceedings of the 16th International Conference on World Wide Web, 2007

A study of Poisson query generation model for information retrieval.
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

Automatic labeling of multinomial topic models.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

2006
A probabilistic approach to spatiotemporal theme pattern mining on weblogs.
Proceedings of the 15th international conference on World Wide Web, 2006

Automatically Generating Gene Summaries from Biomedical Literature.
Proceedings of the Biocomputing 2006, 2006

Language Model Information Retrieval with Document Expansion.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006

Discovering interesting patterns through user's interactive feedback.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

A mixture model for contextual text mining.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Generating semantic annotations for frequent patterns with context analysis.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

2005
Discovering evolutionary theme patterns from text: an exploration of temporal text mining.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Accurate language model estimation with document expansion.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005

Template extraction from candidate template set generation: a structure and content approach.
Proceedings of the 43nd Annual Southeast Regional Conference, 2005

2004
A knowledge processing oriented life cycle study from a Digital Museum system.
Proceedings of the 42nd Annual Southeast Regional Conference, 2004

2002
A Knowledge Flow Driven E-Learning Architecture Design: What is its Stratification and How is it Personalized.
Proceedings of the International Conference on Computers in Education, 2002


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