Publications

Also view our publications on Google Scholar.

2024

  1. PM2.5 forecasting under distribution shift: A graph learning approach
    Yachuan Liu, Jiaqi Ma, Paramveer Dhillon, and 1 more author
    AI Open, 2024
  2. Can LLMs Effectively Leverage Graph Structural Information through Prompts, and Why?
    Jin Huang, Xingjian Zhang, Qiaozhu Mei, and 1 more author
    Trans. Mach. Learn. Res., 2024
  3. Adoption of Recurrent Innovations: A Large-Scale Case Study on Mobile App Updates
    Fuqi Lin, Xuan Lu, Wei Ai, and 7 more authors
    ACM Trans. Web, 2024
  4. Emoji Promotes Developer Participation and Issue Resolution on GitHub
    Yuhang Zhou, Xuan Lu, Ge Gao, and 2 more authors
    In Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, ICWSM 2024, Buffalo, New York, USA, June 3-6, 2024, 2024
  5. Low Mileage, High Fidelity: Evaluating Hypergraph Expansion Methods by Quantifying the Information Loss
    David Y. Kang, Qiaozhu Mei, and Sang-Wook Kim
    In Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024, 2024
  6. Learning to Rewrite Prompts for Personalized Text Generation
    Cheng Li, Mingyang Zhang, Qiaozhu Mei, and 2 more authors
    In Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024, 2024
  7. Bridging the Preference Gap between Retrievers and LLMs
    Zixuan Ke, Weize Kong, Cheng Li, and 3 more authors
    CoRR, 2024
  8. PRewrite: Prompt Rewriting with Reinforcement Learning
    Weize Kong, Spurthi Amba Hombaiah, Mingyang Zhang, and 2 more authors
    CoRR, 2024
  9. Unlocking the ’Why’ of Buying: Introducing a New Dataset and Benchmark for Purchase Reason and Post-Purchase Experience
    Tao Chen, Siqi Zuo, Cheng Li, and 3 more authors
    CoRR, 2024
  10. MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows
    Xingjian Zhang, Yutong Xie, Jin Huang, and 8 more authors
    CoRR, 2024
  11. Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions
    Hua Shen, Tiffany Knearem, Reshmi Ghosh, and 21 more authors
    CoRR, 2024
  12. Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach
    Zhuowan Li, Cheng Li, Mingyang Zhang, and 2 more authors
    CoRR, 2024

2023

  1. Putting Teams into the Gig Economy: A Field Experiment at a Ride-Sharing Platform
    Wei Ai, Yan Chen, Qiaozhu Mei, and 2 more authors
    Manag. Sci., 2023
  2. Partition-Based Active Learning for Graph Neural Networks
    Jiaqi Ma, Ziqiao Ma, Joyce Chai, and 1 more author
    Trans. Mach. Learn. Res., 2023
  3. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
    Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, and 447 more authors
    Trans. Mach. Learn. Res., 2023
  4. How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules
    Yutong Xie, Ziqiao Xu, Jiaqi Ma, and 1 more author
    In The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, 2023
  5. Team Resilience under Shock: An Empirical Analysis of GitHub Repositories during Early COVID-19 Pandemic
    Xuan Lu, Wei Ai, Yixin Wang, and 1 more author
    In Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, ICWSM 2023, Limassol, Cyprus, June 5-8, 2023, 2023
  6. A Metadata-Driven Approach to Understand Graph Neural Networks
    Ting Wei Li, Qiaozhu Mei, and Jiaqi Ma
    In Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023
  7. A Prompt Log Analysis of Text-to-Image Generation Systems
    Yutong Xie, Zhaoying Pan, Jinge Ma, and 2 more authors
    In Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023, 2023
  8. Team Resilience under Shock: An Empirical Analysis of GitHub Repositories during Early COVID-19 Pandemic
    Xuan Lu, Wei Ai, Yixin Wang, and 1 more author
    CoRR, 2023
  9. A Prompt Log Analysis of Text-to-Image Generation Systems
    Yutong Xie, Zhaoying Pan, Jinge Ma, and 2 more authors
    CoRR, 2023
  10. Ranking & Reweighting Improves Group Distributional Robustness
    Yachuan Liu, Bohan Zhang, Qiaozhu Mei, and 1 more author
    CoRR, 2023
  11. Teach LLMs to Personalize - An Approach inspired by Writing Education
    Cheng Li, Mingyang Zhang, Qiaozhu Mei, and 4 more authors
    CoRR, 2023
  12. Emoji Promotes Developer Participation and Issue Resolution on GitHub
    Yuhang Zhou, Xuan Lu, Ge Gao, and 2 more authors
    CoRR, 2023
  13. Can LLMs Effectively Leverage Graph Structural Information: When and Why
    Jin Huang, Xingjian Zhang, Qiaozhu Mei, and 1 more author
    CoRR, 2023
  14. Automatic Prompt Rewriting for Personalized Text Generation
    Cheng Li, Mingyang Zhang, Qiaozhu Mei, and 2 more authors
    CoRR, 2023
  15. Meta Semantic Template for Evaluation of Large Language Models
    Yachuan Liu, Liang Chen, Jindong Wang, and 2 more authors
    CoRR, 2023
  16. Automated Evaluation of Personalized Text Generation using Large Language Models
    Yaqing Wang, Jiepu Jiang, Mingyang Zhang, and 4 more authors
    CoRR, 2023
  17. A Metadata-Driven Approach to Understand Graph Neural Networks
    Ting Wei Li, Qiaozhu Mei, and Jiaqi Ma
    CoRR, 2023
  18. 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, and 4 more authors
    CoRR, 2023
  19. A Turing Test: Are AI Chatbots Behaviorally Similar to Humans?
    Qiaozhu Mei, Yutong Xie, Walter Yuan, and 1 more author
    CoRR, 2023

2022

  1. SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks
    Weijing Tang, Jiaqi Ma, Qiaozhu Mei, and 1 more author
    J. Mach. Learn. Res., 2022
  2. Systematic Analysis of Fine-Grained Mobility Prediction With On-Device Contextual Data
    Huoran Li, Fuqi Lin, Xuan Lu, and 5 more authors
    IEEE Trans. Mob. Comput., 2022
  3. Adapting Pre-trained Language Models to Low-Resource Text Simplification: The Path Matters
    Cristina Garbacea, and Qiaozhu Mei
    In Conference on Lifelong Learning Agents, CoLLAs 2022, 22-24 August 2022, McGill University, Montréal, Québec, Canada, 2022
  4. Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks
    Jiaqi Ma, Xingjian Zhang, Hezheng Fan, and 6 more authors
    In Learning on Graphs Conference, LoG 2022, 9-12 December 2022, Virtual Event, 2022
  5. Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem
    Jiaqi Ma, Junwei Deng, and Qiaozhu Mei
    In WSDM ’22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022, 2022
  6. Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling
    Jiaqi Ma, Xingjian Zhang, and Qiaozhu Mei
    In WSDM ’22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022, 2022
  7. Partition-Based Active Learning for Graph Neural Networks
    Jiaqi Ma, Ziqiao Ma, Joyce Chai, and 1 more author
    CoRR, 2022
  8. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
    Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, and 447 more authors
    CoRR, 2022
  9. Why is constrained neural language generation particularly challenging?
    Cristina Garbacea, and Qiaozhu Mei
    CoRR, 2022
  10. Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks
    Jiaqi Ma, Xingjian Zhang, Hezheng Fan, and 6 more authors
    CoRR, 2022

2021

  1. When BERT meets Bilbo: a learning curve analysis of pretrained language model on disease classification
    Xuedong Li, Walter Yuan, Dezhong Peng, and 2 more authors
    BMC Medical Informatics Decis. Mak., 2021
  2. Operating Systems for Resource-adaptive Intelligent Software: Challenges and Opportunities
    Xuanzhe Liu, Shangguang Wang, Yun Ma, and 4 more authors
    ACM Trans. Internet Techn., 2021
  3. Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification
    Cristina Garbacea, Mengtian Guo, Samuel Carton, and 1 more author
    In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL/IJCNLP 2021, (Volume 1: Long Papers), Virtual Event, August 1-6, 2021, 2021
  4. Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model
    Jiaqi Ma, Xinyang Yi, Weijing Tang, and 4 more authors
    In The 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021, April 13-15, 2021, Virtual Event, 2021
  5. CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks
    Jiaqi Ma, Bo Chang, Xuefei Zhang, and 1 more author
    In 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021, 2021
  6. Subgroup Generalization and Fairness of Graph Neural Networks
    Jiaqi Ma, Junwei Deng, and Qiaozhu Mei
    In Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual, 2021
  7. DeepRec: On-device Deep Learning for Privacy-Preserving Sequential Recommendation in Mobile Commerce
    Jialiang Han, Yun Ma, Qiaozhu Mei, and 1 more author
    In WWW ’21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021, 2021
  8. Emojis Predict Dropouts of Remote Workers: An Empirical Study of Emoji Usage on GitHub
    Xuan Lu, Wei Ai, Zhenpeng Chen, and 3 more authors
    CoRR, 2021
  9. Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem
    Jiaqi Ma, Junwei Deng, and Qiaozhu Mei
    CoRR, 2021
  10. Subgroup Generalization and Fairness of Graph Neural Networks
    Jiaqi Ma, Junwei Deng, and Qiaozhu Mei
    CoRR, 2021
  11. How Much of the Chemical Space Has Been Covered? Measuring and Improving the Variety of Candidate Set in Molecular Generation
    Yutong Xie, Ziqiao Xu, Jiaqi Ma, and 1 more author
    CoRR, 2021
  12. Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling
    Jiaqi Ma, Xingjian Zhang, and Qiaozhu Mei
    CoRR, 2021

2020

  1. Roaming Through the Castle Tunnels: An Empirical Analysis of Inter-app Navigation of Android Apps
    Yun Ma, Ziniu Hu, Diandian Gu, and 4 more authors
    ACM Trans. Web, 2020
  2. Re-ranking Biomedical Literature for Precision Medicine with Pre-trained Neural Models
    Jiazhao Li, Adharsh Murali, Qiaozhu Mei, and 1 more author
    In 8th IEEE International Conference on Healthcare Informatics, ICHI 2020, Oldenburg, Germany, November 30 - December 3, 2020, 2020
  3. When BERT Meets Bilbo: A Learning Curve Analysis of Pretrained Language Model on Disease Classification
    Xuedong Li, Walter Yuan, Dezhong Peng, and 2 more authors
    In 8th IEEE International Conference on Healthcare Informatics, ICHI 2020, Oldenburg, Germany, November 30 - December 3, 2020, 2020
  4. Named Entity Recognition from Table Headers in Randomized Controlled Trial Articles
    Qiang Wei, Yujia Zhou, Bo Zhao, and 4 more authors
    In 8th IEEE International Conference on Healthcare Informatics, ICHI 2020, Oldenburg, Germany, November 30 - December 3, 2020, 2020
  5. Feature-Based Explanations Don’t Help People Detect Misclassifications of Online Toxicity
    Samuel Carton, Qiaozhu Mei, and Paul Resnick
    In Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, ICWSM 2020, Held Virtually, Original Venue: Atlanta, Georgia, USA, June 8-11, 2020, 2020
  6. Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification (Extended Abstract)
    Zhenpeng Chen, Sheng Shen, Ziniu Hu, and 3 more authors
    In Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020, 2020
  7. Predicting Individual Treatment Effects of Large-scale Team Competitions in a Ride-sharing Economy
    Teng Ye, Wei Ai, Lingyu Zhang, and 4 more authors
    In KDD ’20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23-27, 2020, 2020
  8. Towards More Practical Adversarial Attacks on Graph Neural Networks
    Jiaqi Ma, Shuangrui Ding, and Qiaozhu Mei
    In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020
  9. Neural Architecture Search over Decentralized Data
    Mengwei Xu, Yuxin Zhao, Kaigui Bian, and 3 more authors
    CoRR, 2020
  10. Black-Box Adversarial Attacks on Graph Neural Networks with Limited Node Access
    Jiaqi Ma, Shuangrui Ding, and Qiaozhu Mei
    CoRR, 2020
  11. Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model
    Jiaqi Ma, Xinyang Yi, Weijing Tang, and 4 more authors
    CoRR, 2020
  12. Neural Language Generation: Formulation, Methods, and Evaluation
    Cristina Garbacea, and Qiaozhu Mei
    CoRR, 2020
  13. An Empirical Study on Explainable Prediction of Text Complexity: Preliminaries for Text Simplification
    Cristina Garbacea, Mengtian Guo, Samuel Carton, and 1 more author
    CoRR, 2020
  14. Predicting Individual Treatment Effects of Large-scale Team Competitions in a Ride-sharing Economy
    Teng Ye, Wei Ai, Lingyu Zhang, and 4 more authors
    CoRR, 2020
  15. SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks
    Weijing Tang, Jiaqi Ma, Qiaozhu Mei, and 1 more author
    CoRR, 2020
  16. CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks
    Jiaqi Ma, Bo Chang, Xuefei Zhang, and 1 more author
    CoRR, 2020

2019

  1. Cost-aware active learning for named entity recognition in clinical text
    Qiang Wei, Yukun Chen, Mandana Salimi, and 8 more authors
    J. Am. Medical Informatics Assoc., 2019
  2. 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, and 3 more authors
    BMC Medical Informatics Decis. Mak., 2019
  3. Improving rare disease classification using imperfect knowledge graph
    Xuedong Li, Yue Wang, Dongwu Wang, and 3 more authors
    BMC Medical Informatics Decis. Mak., 2019
  4. Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation
    Cristina Garbacea, Samuel Carton, Shiyan Yan, and 1 more author
    In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019, 2019
  5. Improving Rare Disease Classification Using Imperfect Knowledge Graph
    Xuedong Li, Yue Wang, Dongwu Wang, and 3 more authors
    In 2019 IEEE International Conference on Healthcare Informatics, ICHI 2019, Xi’an, China, June 10-13, 2019, 2019
  6. How Do Healthcare Professionals Personalize Their Software? A Pilot Exploration Based on an Electronic Health Records Search Engine
    Kai Zheng, Yunan Chen, Julia Adler-Milstein, and 4 more authors
    In MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics, Lyon, France, 25-30 August 2019, 2019
  7. A Flexible Generative Framework for Graph-based Semi-supervised Learning
    Jiaqi Ma, Weijing Tang, Ji Zhu, and 1 more author
    In Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada, 2019
  8. SEntiMoji: an emoji-powered learning approach for sentiment analysis in software engineering
    Zhenpeng Chen, Yanbin Cao, Xuan Lu, and 2 more authors
    In Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/SIGSOFT FSE 2019, Tallinn, Estonia, August 26-30, 2019, 2019
  9. Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification
    Zhenpeng Chen, Sheng Shen, Ziniu Hu, and 3 more authors
    In The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019, 2019
  10. Decoding the New World Language: Analyzing the Popularity, Roles, and Utility of Emojis
    Qiaozhu Mei
    In Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019, 2019
  11. Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation
    Cristina Garbacea, Samuel Carton, Shiyan Yan, and 1 more author
    CoRR, 2019
  12. A Flexible Generative Framework for Graph-based Semi-supervised Learning
    Jiaqi Ma, Weijing Tang, Ji Zhu, and 1 more author
    CoRR, 2019
  13. SEntiMoji: An Emoji-Powered Learning Approach for Sentiment Analysis in Software Engineering
    Zhenpeng Chen, Yanbin Cao, Xuan Lu, and 2 more authors
    CoRR, 2019
  14. Graph Representation Learning via Multi-task Knowledge Distillation
    Jiaqi Ma, and Qiaozhu Mei
    CoRR, 2019

2018

  1. DeepType: On-Device Deep Learning for Input Personalization Service with Minimal Privacy Concern
    Mengwei Xu, Feng Qian, Qiaozhu Mei, and 2 more authors
    Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018
  2. Interactive medical word sense disambiguation through informed learning
    Yue Wang, Kai Zheng, Hua Xu, and 1 more author
    J. Am. Medical Informatics Assoc., 2018
  3. Understanding Diverse Usage Patterns from Large-Scale Appstore-Service Profiles
    Xuanzhe Liu, Huoran Li, Xuan Lu, and 4 more authors
    IEEE Trans. Software Eng., 2018
  4. Optimizing Whole-Page Presentation for Web Search
    Yue Wang, Dawei Yin, Luo Jie, and 4 more authors
    ACM Trans. Web, 2018
  5. Mining Device-Specific Apps Usage Patterns from Appstore Big Data
    Huoran Li, Xuanzhe Liu, Hong Mei, and 1 more author
    In Big Data - 6th CCF Conference, Big Data 2018, Xi’an, China, October 11-13, 2018, Proceedings, 2018
  6. Exploiting Knowledge Graph to Improve Text-based Prediction
    Shan Jiang, Chengxiang Zhai, and Qiaozhu Mei
    In IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, WA, USA, December 10-13, 2018, 2018
  7. Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts
    Samuel Carton, Qiaozhu Mei, and Paul Resnick
    In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018, 2018
  8. Joint Modeling of Text and Networks for Cascade Prediction
    Cheng Li, Xiaoxiao Guo, and Qiaozhu Mei
    In Proceedings of the Twelfth International Conference on Web and Social Media, ICWSM 2018, Stanford, California, USA, June 25-28, 2018, 2018
  9. Identify Shifts of Word Semantics through Bayesian Surprise
    Zhuofeng Wu, Cheng Li, Zhe Zhao, and 2 more authors
    In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018, 2018
  10. Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users
    Zhenpeng Chen, Xuan Lu, Wei Ai, and 3 more authors
    In Proceedings of the 2018 World Wide Web Conference on World Wide Web, WWW 2018, Lyon, France, April 23-27, 2018, 2018
  11. Find the Conversation Killers: A Predictive Study of Thread-ending Posts
    Yunhao Jiao, Cheng Li, Fei Wu, and 1 more author
    In Proceedings of the 2018 World Wide Web Conference on World Wide Web, WWW 2018, Lyon, France, April 23-27, 2018, 2018
  12. The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018
    2018
  13. Predicting Smartphone Battery Life based on Comprehensive and Real-time Usage Data
    Huoran Li, Xuanzhe Liu, and Qiaozhu Mei
    CoRR, 2018
  14. Ermes: Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification
    Zhenpeng Chen, Sheng Shen, Ziniu Hu, and 3 more authors
    CoRR, 2018
  15. Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts
    Samuel Carton, Qiaozhu Mei, and Paul Resnick
    CoRR, 2018

2017

  1. Does team competition increase pro-social lending? Evidence from online microfinance
    Roy Chen, Yan Chen, Yang Liu, and 1 more author
    Games Econ. Behav., 2017
  2. PRADO: Predicting App Adoption by Learning the Correlation between Developer-Controllable Properties and User Behaviors
    Xuan Lu, Zhenpeng Chen, Xuanzhe Liu, and 3 more authors
    Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017
  3. 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, and 4 more authors
    J. Biomed. Informatics, 2017
  4. An active learning-enabled annotation system for clinical named entity recognition
    Yukun Chen, Thomas A. Lasko, Qiaozhu Mei, and 8 more authors
    BMC Medical Informatics Decis. Mak., 2017
  5. Deriving User Preferences of Mobile Apps from Their Management Activities
    Xuanzhe Liu, Wei Ai, Huoran Li, and 4 more authors
    ACM Trans. Inf. Syst., 2017
  6. Understanding the Patterns of Health Information Dissemination on Social Media during the Zika Outbreak
    Xinning Gui, Yue Wang, Yubo Kou, and 4 more authors
    In AMIA 2017, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 4-8, 2017, 2017
  7. Interactive Medical Word Sense Disambiguation with Instance and Feature Labeling
    Yue Wang, Kai Zheng, Hua Xu, and 1 more author
    In AMIA 2017, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 4-8, 2017, 2017
  8. Matching Consumer Health Vocabulary with Professional Medical Terms Through Concept Embedding
    Yue Wang, Jian Tang, V. G. Vinod Vydiswaran, and 3 more authors
    In AMIA 2017, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 4-8, 2017, 2017
  9. Creating a Labeled Dataset for Medical Misinformation in Health Forums
    Alexander Kinsora, Kate Barron, Qiaozhu Mei, and 1 more author
    In 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017, Park City, UT, USA, August 23-26, 2017, 2017
  10. Untangling Emoji Popularity Through Semantic Embeddings
    Wei Ai, Xuan Lu, Xuanzhe Liu, and 3 more authors
    In Proceedings of the Eleventh International Conference on Web and Social Media, ICWSM 2017, Montréal, Québec, Canada, May 15-18, 2017, 2017
  11. End-to-end Learning for Short Text Expansion
    Jian Tang, Yue Wang, Kai Zheng, and 1 more author
    In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13 - 17, 2017, 2017
  12. Deep Memory Networks for Attitude Identification
    Cheng Li, Xiaoxiao Guo, and Qiaozhu Mei
    In Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6-10, 2017, 2017
  13. DeepCas: An End-to-end Predictor of Information Cascades
    Cheng Li, Jiaqi Ma, Xiaoxiao Guo, and 1 more author
    In Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3-7, 2017, 2017
  14. Deep Memory Networks for Attitude Identification
    Cheng Li, Xiaoxiao Guo, and Qiaozhu Mei
    CoRR, 2017
  15. Understanding Diverse Smarpthone Usage Patterns from Large-Scale Appstore-Service Profiles
    Xuanzhe Liu, Huoran Li, Xuan Lu, and 4 more authors
    CoRR, 2017
  16. Through a Gender Lens: An Empirical Study of Emoji Usage over Large-Scale Android Users
    Zhenpeng Chen, Xuan Lu, Sheng Shen, and 3 more authors
    CoRR, 2017
  17. Roaming across the Castle Tunnels: an Empirical Study of Inter-App Navigation Behaviors of Android Users
    Ziniu Hu, Yun Ma, Qiaozhu Mei, and 1 more author
    CoRR, 2017
  18. End-to-end Learning for Short Text Expansion
    Jian Tang, Yue Wang, Kai Zheng, and 1 more author
    CoRR, 2017
  19. Find the Conversation Killers: a Predictive Study of Thread-ending Posts
    Yunhao Jiao, Cheng Li, Fei Wu, and 1 more author
    CoRR, 2017

2016

  1. Assessing the readability of ClinicalTrials.gov
    Danny T. Y. Wu, David A. Hanauer, Qiaozhu Mei, and 7 more authors
    J. Am. Medical Informatics Assoc., 2016
  2. Extracting relations from traditional Chinese medicine literature via heterogeneous entity networks
    Huaiyu Wan, Marie-Francine Moens, Walter Luyten, and 4 more authors
    J. Am. Medical Informatics Assoc., 2016
  3. Clinical Word Sense Disambiguation with Interactive Search and Classification
    Yue Wang, Kai Zheng, Hua Xu, and 1 more author
    In AMIA 2016, American Medical Informatics Association Annual Symposium, Chicago, IL, USA, November 12-16, 2016, 2016
  4. Multiple Queries as Bandit Arms
    Cheng Li, Paul Resnick, and Qiaozhu Mei
    In Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016, 2016
  5. Learning from the ubiquitous language: an empirical analysis of emoji usage of smartphone users
    Xuan Lu, Wei Ai, Xuanzhe Liu, and 4 more authors
    In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016, Heidelberg, Germany, September 12-16, 2016, 2016
  6. PRADA: prioritizing android devices for apps by mining large-scale usage data
    Xuan Lu, Xuanzhe Liu, Huoran Li, and 5 more authors
    In Proceedings of the 38th International Conference on Software Engineering, ICSE 2016, Austin, TX, USA, May 14-22, 2016, 2016
  7. Mining usage data from large-scale Android users: challenges and opportunities
    Xuan Lu, Xuanzhe Liu, Huoran Li, and 5 more authors
    In Proceedings of the International Conference on Mobile Software Engineering and Systems, MOBILESoft ’16, Austin, Texas, USA, May 14-22, 2016, 2016
  8. Beyond Ranking: Optimizing Whole-Page Presentation
    Yue Wang, Dawei Yin, Luo Jie, and 4 more authors
    In Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, San Francisco, CA, USA, February 22-25, 2016, 2016
  9. EgoSet: Exploiting Word Ego-networks and User-generated Ontology for Multifaceted Set Expansion
    Xin Rong, Zhe Chen, Qiaozhu Mei, and 1 more author
    In Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, San Francisco, CA, USA, February 22-25, 2016, 2016
  10. Visualizing Large-scale and High-dimensional Data
    Jian Tang, Jingzhou Liu, Ming Zhang, and 1 more author
    In Proceedings of the 25th International Conference on World Wide Web, WWW 2016, Montreal, Canada, April 11 - 15, 2016, 2016
  11. Voting with Their Feet: Inferring User Preferences from App Management Activities
    Huoran Li, Wei Ai, Xuanzhe Liu, and 4 more authors
    In Proceedings of the 25th International Conference on World Wide Web, WWW 2016, Montreal, Canada, April 11 - 15, 2016, 2016
  12. The DARPA Twitter Bot Challenge
    V. S. Subrahmanian, Amos Azaria, Skylar Durst, and 19 more authors
    CoRR, 2016
  13. Visualization Large-scale and High-dimensional Data
    Jian Tang, Jingzhou Liu, Ming Zhang, and 1 more author
    CoRR, 2016
  14. DeepGraph: Graph Structure Predicts Network Growth
    Cheng Li, Xiaoxiao Guo, and Qiaozhu Mei
    CoRR, 2016
  15. DeepCas: an End-to-end Predictor of Information Cascades
    Cheng Li, Jiaqi Ma, Xiaoxiao Guo, and 1 more author
    CoRR, 2016
  16. Identity-sensitive Word Embedding through Heterogeneous Networks
    Jian Tang, Meng Qu, and Qiaozhu Mei
    CoRR, 2016
  17. Context-aware Natural Language Generation with Recurrent Neural Networks
    Jian Tang, Yifan Yang, Samuel Carton, and 2 more authors
    CoRR, 2016
  18. Less is More: Learning Prominent and Diverse Topics for Data Summarization
    Jian Tang, Ming Zhang, and Qiaozhu Mei
    CoRR, 2016

2015

  1. 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, and 2 more authors
    J. Biomed. Informatics, 2015
  2. A study of active learning methods for named entity recognition in clinical text
    Yukun Chen, Thomas A. Lasko, Qiaozhu Mei, and 2 more authors
    J. Biomed. Informatics, 2015
  3. Real Time Active Learning Study for Clinical Named Entity Recognition
    Yukun Chen, Sungrim Moon, Thomas A. Lasko, and 6 more authors
    In AMIA 2015, American Medical Informatics Association Annual Symposium, San Francisco, CA, USA, November 14-18, 2015, 2015
  4. 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, and 3 more authors
    In AMIA 2015, American Medical Informatics Association Annual Symposium, San Francisco, CA, USA, November 14-18, 2015, 2015
  5. Identifying Patterns Indicative of Copying/Pasting Behavior in Patient Generated Online Content
    Tera L. Reynolds, V. G. Vinod Vydiswaran, Yuting Wu, and 3 more authors
    In AMIA 2015, American Medical Informatics Association Annual Symposium, San Francisco, CA, USA, November 14-18, 2015, 2015
  6. Mash Droid: An Approach to Mobile-Oriented Dynamic Services Discovery and Composition by In-App Search
    Yun Ma, Xuanzhe Liu, Meihua Yu, and 3 more authors
    In 2015 IEEE International Conference on Web Services, ICWS 2015, New York, NY, USA, June 27 - July 2, 2015, 2015
  7. Audience Analysis for Competing Memes in Social Media
    Samuel Carton, Souneil Park, Nicole Zeffer, and 3 more authors
    In Proceedings of the Ninth International Conference on Web and Social Media, ICWSM 2015, University of Oxford, Oxford, UK, May 26-29, 2015, 2015
  8. Characterizing Smartphone Usage Patterns from Millions of Android Users
    Huoran Li, Xuan Lu, Xuanzhe Liu, and 5 more authors
    In Proceedings of the 2015 ACM Internet Measurement Conference, IMC 2015, Tokyo, Japan, October 28-30, 2015, 2015
  9. PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks
    Jian Tang, Meng Qu, and Qiaozhu Mei
    In Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015, 2015
  10. Click-through Prediction for Advertising in Twitter Timeline
    Cheng Li, Yue Lu, Qiaozhu Mei, and 2 more authors
    In Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015, 2015
  11. Learning from Medical Summaries: The University of Michigan at TREC 2015 Clinical Decision Support Track
    Fengmin Hu, Danny T. Y. Wu, Qiaozhu Mei, and 1 more author
    In Proceedings of The Twenty-Fourth Text REtrieval Conference, TREC 2015, Gaithersburg, Maryland, USA, November 17-20, 2015, 2015
  12. A Descriptive Analysis of a Large-Scale Collection of App Management Activities
    Huoran Li, Xuanzhe Liu, Wei Ai, and 2 more authors
    In Proceedings of the 24th International Conference on World Wide Web Companion, WWW 2015, Florence, Italy, May 18-22, 2015 - Companion Volume, 2015
  13. LINE: Large-scale Information Network Embedding
    Jian Tang, Meng Qu, Mingzhe Wang, and 3 more authors
    In Proceedings of the 24th International Conference on World Wide Web, WWW 2015, Florence, Italy, May 18-22, 2015, 2015
  14. Enquiring Minds: Early Detection of Rumors in Social Media from Enquiry Posts
    Zhe Zhao, Paul Resnick, and Qiaozhu Mei
    In Proceedings of the 24th International Conference on World Wide Web, WWW 2015, Florence, Italy, May 18-22, 2015, 2015
  15. LINE: Large-scale Information Network Embedding
    Jian Tang, Meng Qu, Mingzhe Wang, and 3 more authors
    CoRR, 2015
  16. PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks
    Jian Tang, Meng Qu, and Qiaozhu Mei
    CoRR, 2015
  17. Modeling the Interplay Between Individual Behavior and Network Distributions
    Yang Yang, Jie Tang, Yuxiao Dong, and 3 more authors
    CoRR, 2015

2014

  1. Applying MetaMap to Medline for identifying novel associations in a large clinical dataset: a feasibility analysis
    David A. Hanauer, Mohammed Saeed, Kai Zheng, and 4 more authors
    J. Am. Medical Informatics Assoc., 2014
  2. A Preliminary Study of Coupling Transfer Learning with Active Learning for Clinical Named Entity Recognition between Two Institutions
    Yukun Chen, Yaoyun Zhang, Qiaozhu Mei, and 3 more authors
    In AMIA 2014, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 15-19, 2014, 2014
  3. Mining Consumer Health Vocabulary from Community-Generated Text
    V. G. Vinod Vydiswaran, Qiaozhu Mei, David A. Hanauer, and 1 more author
    In AMIA 2014, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 15-19, 2014, 2014
  4. Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis
    Jian Tang, Zhaoshi Meng, XuanLong Nguyen, and 2 more authors
    In Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014, 2014
  5. User-Created Groups in Health Forums: What Makes Them Special?
    V. G. Vinod Vydiswaran, Yang Liu, Kai Zheng, and 2 more authors
    In Proceedings of the Eighth International Conference on Weblogs and Social Media, ICWSM 2014, Ann Arbor, Michigan, USA, June 1-4, 2014, 2014
  6. ReQ-ReC: high recall retrieval with query pooling and interactive classification
    Cheng Li, Yue Wang, Paul Resnick, and 1 more author
    In The 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR ’14, Gold Coast , QLD, Australia - July 06 - 11, 2014, 2014
  7. Predicting bursts and popularity of hashtags in real-time
    Shoubin Kong, Qiaozhu Mei, Ling Feng, and 2 more authors
    In The 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR ’14, Gold Coast , QLD, Australia - July 06 - 11, 2014, 2014
  8. Real-Time Predicting Bursting Hashtags on Twitter
    Shoubin Kong, Qiaozhu Mei, Ling Feng, and 1 more author
    In Web-Age Information Management - 15th International Conference, WAIM 2014, Macau, China, June 16-18, 2014. Proceedings, 2014
  9. The dual-sparse topic model: mining focused topics and focused terms in short text
    Tianyi Lin, Wentao Tian, Qiaozhu Mei, and 1 more author
    In 23rd International World Wide Web Conference, WWW ’14, Seoul, Republic of Korea, April 7-11, 2014, 2014
  10. On the Real-time Prediction Problems of Bursting Hashtags in Twitter
    Shoubin Kong, Qiaozhu Mei, Ling Feng, and 2 more authors
    CoRR, 2014
  11. "Look Ma, No Hands!" A Parameter-Free Topic Model
    Jian Tang, Ming Zhang, and Qiaozhu Mei
    CoRR, 2014

2013

  1. Applying active learning to supervised word sense disambiguation in MEDLINE
    Yukun Chen, Hongxin Cao, Qiaozhu Mei, and 2 more authors
    J. Am. Medical Informatics Assoc., 2013
  2. A Study of Active Learning Methods for Clinical Entities Recognition
    Yukun Chen, Thomas A. Lasko, Qiaozhu Mei, and 2 more authors
    In AMIA 2013, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 16-20, 2013, 2013
  3. Location Bias of Identifiers in Clinical Narratives
    David A. Hanauer, Qiaozhu Mei, Bradley A. Malin, and 1 more author
    In AMIA 2013, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 16-20, 2013, 2013
  4. Diffusion of innovations revisited: from social network to innovation network
    Xin Rong, and Qiaozhu Mei
    In 22nd ACM International Conference on Information and Knowledge Management, CIKM’13, San Francisco, CA, USA, October 27 - November 1, 2013, 2013
  5. Unexpected Relevance: An Empirical Study of Serendipity in Retweets
    Tao Sun, Ming Zhang, and Qiaozhu Mei
    In Proceedings of the Seventh International Conference on Weblogs and Social Media, ICWSM 2013, Cambridge, Massachusetts, USA, July 8-11, 2013, 2013
  6. One theme in all views: modeling consensus topics in multiple contexts
    Jian Tang, Ming Zhang, and Qiaozhu Mei
    In The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, IL, USA, August 11-14, 2013, 2013
  7. Applying Multiple Methods to Assess the Readability of a Large Corpus of Medical Documents
    Danny T. Y. Wu, David A. Hanauer, Qiaozhu Mei, and 6 more authors
    In MEDINFO 2013 - Proceedings of the 14th World Congress on Medical and Health Informatics, 20-13 August 2013, Copenhagen, Denmark, 2013
  8. A User-in-the-Loop Process for Investigational Search: Foreseer in TREC 2013 Microblog Track
    Cheng Li, Yue Wang, and Qiaozhu Mei
    In Proceedings of The Twenty-Second Text REtrieval Conference, TREC 2013, Gaithersburg, Maryland, USA, November 19-22, 2013, 2013
  9. Towards Twitter context summarization with user influence models
    Yi Chang, Xuanhui Wang, Qiaozhu Mei, and 1 more author
    In Sixth ACM International Conference on Web Search and Data Mining, WSDM 2013, Rome, Italy, February 4-8, 2013, 2013
  10. Questions about questions: an empirical analysis of information needs on Twitter
    Zhe Zhao, and Qiaozhu Mei
    In 22nd International World Wide Web Conference, WWW ’13, Rio de Janeiro, Brazil, May 13-17, 2013, 2013