| 2026 | EACL | 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 |
| 2026 | WWW | Pathways of Thoughts: Multi-Directional Thinking for Long-form Personalized Question Answering. | Alireza Salemi, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Zhuowan Li, Spurthi Amba Hombaiah, Weize Kong, Tao Chen, Hamed Zamani, Michael Bendersky |
| 2025 | KDD | MapExplorer: New Content Generation from Low-Dimensional Visualizations. | Xingjian Zhang, Ziyang Xiong, Shixuan Liu, Yutong Xie, Tolga Ergen, Dongsub Shim, Hua Xu, Honglak Lee, Qiaozhu Mei |
| 2025 | NAACL | MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows. | Xingjian Zhang, Yutong Xie, Jin Huang, Jinge Ma, Zhaoying Pan, Qijia Liu, Ziyang Xiong, Tolga Ergen, Dongsub Shim, Honglak Lee, Qiaozhu Mei |
| 2025 | PAKDD | Leveraging Group-Level Signals for Robust Many-Domain Generalization. | Bohan Zhang, Yachuan Liu, Qiaozhu Mei, Paramveer S. Dhillon |
| 2024 | ACL | Bridging the Preference Gap between Retrievers and LLMs. | Zixuan Ke, Weize Kong, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky |
| 2024 | ACL | PRewrite: Prompt Rewriting with Reinforcement Learning. | Weize Kong, Spurthi Amba Hombaiah, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky |
| 2024 | EMNLP | Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach. | Zhuowan Li, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky |
| 2024 | ICWSM | Emoji Promotes Developer Participation and Issue Resolution on GitHub. | Yuhang Zhou, Xuan Lu, Ge Gao, Qiaozhu Mei, Wei Ai |
| 2024 | KDD | The First Workshop on AI Behavioral Science. | Himabindu Lakkaraju, Qiaozhu Mei, Chenhao Tan, Jie Tang, Yutong Xie |
| 2024 | WWW | Learning to Rewrite Prompts for Personalized Text Generation. | Cheng Li, Mingyang Zhang, Qiaozhu Mei, Weize Kong, Michael Bendersky |
| 2024 | WWW | Low Mileage, High Fidelity: Evaluating Hypergraph Expansion Methods by Quantifying the Information Loss. | David Y. Kang, Qiaozhu Mei, Sang-Wook Kim |
| 2024 | SIGIR | The Second Workshop on Large Language Models for Individuals, Groups, and Society. | Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang, Xingjian Zhang |
| 2024 | WSDM | WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society. | Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang |
| 2023 | ICLR | How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules. | Yutong Xie, Ziqiao Xu, Jiaqi Ma, Qiaozhu Mei |
| 2023 | ICWSM | Team Resilience under Shock: An Empirical Analysis of GitHub Repositories during Early COVID-19 Pandemic. | Xuan Lu, Wei Ai, Yixin Wang, Qiaozhu Mei |
| 2023 | KDD | The 3rd Workshop on Graph Learning Benchmarks (GLB 2023). | Jiaqi Ma, Jiong Zhu, Yuxiao Dong, Danai Koutra, Jingrui He, Qiaozhu Mei, Anton Tsitsulin, Xingjian Zhang, Marinka Zitnik |
| 2023 | WWW | A Prompt Log Analysis of Text-to-Image Generation Systems. | Yutong Xie, Zhaoying Pan, Jinge Ma, Luo Jie, Qiaozhu Mei |
| 2022 | WSDM | Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem. | Jiaqi Ma, Junwei Deng, Qiaozhu Mei |
| 2022 | WSDM | Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling. | Jiaqi Ma, Xingjian Zhang, Qiaozhu Mei |
| 2021 | ACL | Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification. | Cristina Garbacea, Mengtian Guo, Samuel Carton, Qiaozhu Mei |
| 2021 | AISTATS | Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model. | Jiaqi Ma, Xinyang Yi, Weijing Tang, Zhe Zhao, Lichan Hong, Ed H. Chi, Qiaozhu Mei |
| 2021 | ICLR | CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks. | Jiaqi Ma, Bo Chang, Xuefei Zhang, Qiaozhu Mei |
| 2021 | WWW | DeepRec: On-device Deep Learning for Privacy-Preserving Sequential Recommendation in Mobile Commerce. | Jialiang Han, Yun Ma, Qiaozhu Mei, Xuanzhe Liu |
| 2020 | IJCAI | Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification (Extended Abstract). | Zhenpeng Chen, Sheng Shen, Ziniu Hu, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu |
| 2020 | ICWSM | Feature-Based Explanations Don't Help People Detect Misclassifications of Online Toxicity. | Samuel Carton, Qiaozhu Mei, Paul Resnick |
| 2020 | KDD | Predicting Individual Treatment Effects of Large-scale Team Competitions in a Ride-sharing Economy. | Teng Ye, Wei Ai, Lingyu Zhang, Ning Luo, Lulu Zhang, Jieping Ye, Qiaozhu Mei |
| 2019 | EMNLP | Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation. | Cristina Garbacea, Samuel Carton, Shiyan Yan, Qiaozhu Mei |
| 2019 | NAACL | The Strength of the Weakest Supervision: Topic Classification Using Class Labels. | Jiatong Li, Kai Zheng, Hua Xu, Qiaozhu Mei, Yue Wang |
| 2019 | WWW | Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification. | Zhenpeng Chen, Sheng Shen, Ziniu Hu, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu |
| 2019 | WWW | Decoding the New World Language: Analyzing the Popularity, Roles, and Utility of Emojis. | Qiaozhu Mei |
| 2018 | EMNLP | Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts. | Samuel Carton, Qiaozhu Mei, Paul Resnick |
| 2018 | ICWSM | Joint Modeling of Text and Networks for Cascade Prediction. | Cheng Li, Xiaoxiao Guo, Qiaozhu Mei |
| 2018 | WWW | Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users. | Zhenpeng Chen, Xuan Lu, Wei Ai, Huoran Li, Qiaozhu Mei, Xuanzhe Liu |
| 2018 | WWW | Find the Conversation Killers: A Predictive Study of Thread-ending Posts. | Yunhao Jiao, Cheng Li, Fei Wu, Qiaozhu Mei |
| 2018 | SIGIR | Identify Shifts of Word Semantics through Bayesian Surprise. | Zhuofeng Wu, Cheng Li, Zhe Zhao, Fei Wu, Qiaozhu Mei |
| 2017 | AMIA | Understanding the Patterns of Health Information Dissemination on Social Media during the Zika Outbreak. | Xinning Gui, Yue Wang, Yubo Kou, Tera L. Reynolds, Yunan Chen, Qiaozhu Mei, Kai Zheng |
| 2017 | AMIA | Interactive Medical Word Sense Disambiguation with Instance and Feature Labeling. | Yue Wang, Kai Zheng, Hua Xu, Qiaozhu Mei |
| 2017 | AMIA | Matching Consumer Health Vocabulary with Professional Medical Terms Through Concept Embedding. | Yue Wang, Jian Tang, V. G. Vinod Vydiswaran, Kai Zheng, Hua Xu, Qiaozhu Mei |
| 2017 | ICWSM | Untangling Emoji Popularity Through Semantic Embeddings. | Wei Ai, Xuan Lu, Xuanzhe Liu, Ning Wang, Gang Huang, Qiaozhu Mei |
| 2017 | KDD | End-to-end Learning for Short Text Expansion. | Jian Tang, Yue Wang, Kai Zheng, Qiaozhu Mei |
| 2017 | WWW | DeepCas: An End-to-end Predictor of Information Cascades. | Cheng Li, Jiaqi Ma, Xiaoxiao Guo, Qiaozhu Mei |
| 2017 | WSDM | Deep Memory Networks for Attitude Identification. | Cheng Li, Xiaoxiao Guo, Qiaozhu Mei |
| 2016 | AMIA | Clinical Word Sense Disambiguation with Interactive Search and Classification. | Yue Wang, Kai Zheng, Hua Xu, Qiaozhu Mei |
| 2016 | CIKM | Multiple Queries as Bandit Arms. | Cheng Li, Paul Resnick, Qiaozhu Mei |
| 2016 | ICSE | PRADA: prioritizing android devices for apps by mining large-scale usage data. | Xuan Lu, Xuanzhe Liu, Huoran Li, Tao Xie, Qiaozhu Mei, Dan Hao, Gang Huang, Feng Feng |
| 2016 | ICSE | Mining usage data from large-scale Android users: challenges and opportunities. | Xuan Lu, Xuanzhe Liu, Huoran Li, Tao Xie, Qiaozhu Mei, Dan Hao, Gang Huang, Feng Feng |
| 2016 | WWW | Voting with Their Feet: Inferring User Preferences from App Management Activities. | Huoran Li, Wei Ai, Xuanzhe Liu, Jian Tang, Gang Huang, Feng Feng, Qiaozhu Mei |
| 2016 | WWW | Visualizing Large-scale and High-dimensional Data. | Jian Tang, Jingzhou Liu, Ming Zhang, Qiaozhu Mei |
| 2016 | WSDM | EgoSet: Exploiting Word Ego-networks and User-generated Ontology for Multifaceted Set Expansion. | Xin Rong, Zhe Chen, Qiaozhu Mei, Eytan Adar |
| 2016 | WSDM | Beyond Ranking: Optimizing Whole-Page Presentation. | Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei |
| 2015 | AMIA | Real Time Active Learning Study for Clinical Named Entity Recognition. | Yukun Chen, Sungrim Moon, Thomas A. Lasko, Qiaozhu Mei, Jingqi Wang, Trevor Cohen, Qingxia Chen, Joshua C. Denny, Hua Xu |
| 2015 | AMIA | Caveats of Using Social Media Data for Medical Research: A Report from a Study on Eye-Related Symptoms in Tweets. | Yang Liu, Tricia O'Brien, Esha Sondhi, Qiaozhu Mei, David A. Hanauer, Kai Zheng |
| 2015 | AMIA | 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 |
| 2015 | IMC | Characterizing Smartphone Usage Patterns from Millions of Android Users. | Huoran Li, Xuan Lu, Xuanzhe Liu, Tao Xie, Kaigui Bian, Felix Xiaozhu Lin, Qiaozhu Mei, Feng Feng |
| 2015 | ICWS | Mash Droid: An Approach to Mobile-Oriented Dynamic Services Discovery and Composition by In-App Search. | Yun Ma, Xuanzhe Liu, Meihua Yu, Yunxin Liu, Qiaozhu Mei, Feng Feng |
| 2015 | ICWSM | Audience Analysis for Competing Memes in Social Media. | Samuel Carton, Souneil Park, Nicole Zeffer, Eytan Adar, Qiaozhu Mei, Paul Resnick |
| 2015 | KDD | Click-through Prediction for Advertising in Twitter Timeline. | Cheng Li, Yue Lu, Qiaozhu Mei, Dong Wang, Sandeep Pandey |
| 2015 | KDD | PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks. | Jian Tang, Meng Qu, Qiaozhu Mei |
| 2015 | WWW | A Descriptive Analysis of a Large-Scale Collection of App Management Activities. | Huoran Li, Xuanzhe Liu, Wei Ai, Qiaozhu Mei, Feng Feng |
| 2015 | WWW | LINE: Large-scale Information Network Embedding. | Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, Qiaozhu Mei |
| 2015 | WWW | Enquiring Minds: Early Detection of Rumors in Social Media from Enquiry Posts. | Zhe Zhao, Paul Resnick, Qiaozhu Mei |
| 2014 | AMIA | A Preliminary Study of Coupling Transfer Learning with Active Learning for Clinical Named Entity Recognition between Two Institutions. | Yukun Chen, Yaoyun Zhang, Qiaozhu Mei, Dead Account, Joshua C. Denny, Hua Xu |
| 2014 | AMIA | Mining Consumer Health Vocabulary from Community-Generated Text. | V. G. Vinod Vydiswaran, Qiaozhu Mei, David A. Hanauer, Kai Zheng |
| 2014 | ICML | Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis. | Jian Tang, Zhaoshi Meng, XuanLong Nguyen, Qiaozhu Mei, Ming Zhang |
| 2014 | ICWSM | User-Created Groups in Health Forums: What Makes Them Special? | V. G. Vinod Vydiswaran, Yang Liu, Kai Zheng, David A. Hanauer, Qiaozhu Mei |
| 2014 | WWW | The dual-sparse topic model: mining focused topics and focused terms in short text. | Tianyi Lin, Wentao Tian, Qiaozhu Mei, Hong Cheng |
| 2014 | SIGIR | Predicting bursts and popularity of hashtags in real-time. | Shoubin Kong, Qiaozhu Mei, Ling Feng, Fei Ye, Zhe Zhao |
| 2014 | SIGIR | ReQ-ReC: high recall retrieval with query pooling and interactive classification. | Cheng Li, Yue Wang, Paul Resnick, Qiaozhu Mei |
| 2013 | AMIA | A Study of Active Learning Methods for Clinical Entities Recognition. | Yukun Chen, Thomas A. Lasko, Qiaozhu Mei, Joshua C. Denny, Hua Xu |
| 2013 | AMIA | Location Bias of Identifiers in Clinical Narratives. | David A. Hanauer, Qiaozhu Mei, Bradley A. Malin, Kai Zheng |
| 2013 | CIKM | Diffusion of innovations revisited: from social network to innovation network. | Xin Rong, Qiaozhu Mei |
| 2013 | ICWSM | Unexpected Relevance: An Empirical Study of Serendipity in Retweets. | Tao Sun, Ming Zhang, Qiaozhu Mei |
| 2013 | KDD | One theme in all views: modeling consensus topics in multiple contexts. | Jian Tang, Ming Zhang, Qiaozhu Mei |
| 2013 | WWW | Questions about questions: an empirical analysis of information needs on Twitter. | Zhe Zhao, Qiaozhu Mei |
| 2013 | WSDM | Towards Twitter context summarization with user influence models. | Yi Chang, Xuanhui Wang, Qiaozhu Mei, Yan Liu |
| 2012 | AMIA | 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, Qiaozhu Mei, Frank J. Manion, Ulysses J. Balis, Kai Zheng |
| 2012 | WWW | We know what @you #tag: does the dual role affect hashtag adoption? | Lei Yang, Tao Sun, Ming Zhang, Qiaozhu Mei |
| 2012 | WSDM | "I loan because...": understanding motivations for pro-social lending. | Yang Liu, Roy Chen, Yan Chen, Qiaozhu Mei, Suzy Salib |
| 2011 | EMNLP | Rumor has it: Identifying Misinformation in Microblogs. | Vahed Qazvinian, Emily Rosengren, Dragomir R. Radev, Qiaozhu Mei |
| 2011 | ICDM | The Joint Inference of Topic Diffusion and Evolution in Social Communities. | Cindy Xide Lin, Qiaozhu Mei, Jiawei Han, Yunliang Jiang, Marina Danilevsky |
| 2011 | ICWSM | Classifying the Political Leaning of News Articles and Users from User Votes. | Daniel Xiaodan Zhou, Paul Resnick, Qiaozhu Mei |
| 2010 | ACL | Cross-Lingual Latent Topic Extraction. | Duo Zhang, Qiaozhu Mei, ChengXiang Zhai |
| 2010 | EMNLP | Context Comparison of Bursty Events in Web Search and Online Media. | Yunliang Jiang, Cindy Xide Lin, Qiaozhu Mei |
| 2010 | ICDM | Edge Weight Regularization over Multiple Graphs for Similarity Learning. | Pradeep Muthukrishnan, Dragomir R. Radev, Qiaozhu Mei |
| 2010 | KDD | PET: a statistical model for popular events tracking in social communities. | Cindy Xide Lin, Bo Zhao, Qiaozhu Mei, Jiawei Han |
| 2010 | KDD | DivRank: the interplay of prestige and diversity in information networks. | Qiaozhu Mei, Jian Guo, Dragomir R. Radev |
| 2009 | CIKM | An analysis framework for search sequences. | Qiaozhu Mei, Kristina Lisa Klinkner, Ravi Kumar, Andrew Tomkins |
| 2009 | KDD | Exploring social tagging graph for web object classification. | Zhijun Yin, Rui Li, Qiaozhu Mei, Jiawei Han |
| 2009 | SIGIR | Personalized tag recommendation using graph-based ranking on multi-type interrelated objects. | Ziyu Guan, Jiajun Bu, Qiaozhu Mei, Chun Chen, Can Wang |
| 2008 | ACL | Generating Impact-Based Summaries for Scientific Literature. | Qiaozhu Mei, ChengXiang Zhai |
| 2008 | ADMA | Automatic Web Tagging and Person Tagging Using Language Models. | Qiaozhu Mei, Yi Zhang |
| 2008 | CIKM | Modeling hidden topics on document manifold. | Deng Cai, Qiaozhu Mei, Jiawei Han, Chengxiang Zhai |
| 2008 | CIKM | Query suggestion using hitting time. | Qiaozhu Mei, Dengyong Zhou, Kenneth Ward Church |
| 2008 | KDD | Mining multi-faceted overviews of arbitrary topics in a text collection. | Xu Ling, Qiaozhu Mei, ChengXiang Zhai, Bruce R. Schatz |
| 2008 | WWW | Topic modeling with network regularization. | Qiaozhu Mei, Deng Cai, Duo Zhang, ChengXiang Zhai |
| 2008 | SIGIR | A general optimization framework for smoothing language models on graph structures. | Qiaozhu Mei, Duo Zhang, ChengXiang Zhai |
| 2008 | WSDM | Entropy of search logs: how hard is search? with personalization? with backoff? | Qiaozhu Mei, Kenneth Ward Church |
| 2007 | KDD | Automatic labeling of multinomial topic models. | Qiaozhu Mei, Xuehua Shen, ChengXiang Zhai |
| 2007 | WWW | Topic sentiment mixture: modeling facets and opinions in weblogs. | Qiaozhu Mei, Xu Ling, Matthew Wondra, Hang Su, ChengXiang Zhai |
| 2007 | SIGIR | A study of Poisson query generation model for information retrieval. | Qiaozhu Mei, Hui Fang, ChengXiang Zhai |
| 2006 | KDD | Generating semantic annotations for frequent patterns with context analysis. | Qiaozhu Mei, Dong Xin, Hong Cheng, Jiawei Han, ChengXiang Zhai |
| 2006 | KDD | A mixture model for contextual text mining. | Qiaozhu Mei, ChengXiang Zhai |
| 2006 | KDD | Discovering interesting patterns through user's interactive feedback. | Dong Xin, Xuehua Shen, Qiaozhu Mei, Jiawei Han |
| 2006 | NAACL | Language Model Information Retrieval with Document Expansion. | Tao Tao, Xuanhui Wang, Qiaozhu Mei, ChengXiang Zhai |
| 2006 | PSB | Automatically Generating Gene Summaries from Biomedical Literature. | Xu Ling, Jing Jiang, Xin He, Qiaozhu Mei, ChengXiang Zhai, Bruce R. Schatz |
| 2006 | WWW | A probabilistic approach to spatiotemporal theme pattern mining on weblogs. | Qiaozhu Mei, Chao Liu, Hang Su, ChengXiang Zhai |
| 2005 | CIKM | Accurate language model estimation with document expansion. | Tao Tao, Xuanhui Wang, Qiaozhu Mei, ChengXiang Zhai |
| 2005 | KDD | Discovering evolutionary theme patterns from text: an exploration of temporal text mining. | Qiaozhu Mei, ChengXiang Zhai |
| 2002 | ICCE | A Knowledge Flow Driven E-Learning Architecture Design: What is its Stratification and How is it Personalized. | Qiaozhu Mei, Junrong Shen |