publications

  1. Tech Report
    The New Future of Work: Research from Microsoft into the Pandemic’s Impact on Work Practices
    Jaime Teevan, Brent Hecht, Sonia Jaffe, Nancy Baym, Rachel Bergmann, Matt Brodsky, Jenna Butler, Bill Buxton, Adam Coleman, Mary Czerwinski, Brian Houck, Ginger Hudson, Shamsi Iqbal, Chandra Maddila, Kate Nowak, Emily Peloquin, Ricardo Reyna Fernandez, Sean Rintel, Abigail Sellen, Tiffany Smith, Margaret-Anne Storey, Siddharth Suri, Hana Wolf, and Longqi Yang
    2021
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  2. CHI
    Large Scale Analysis of Multitasking Behavior During Remote Meetings
    Hancheng Cao, Chai-Jung Lee, Shamsi Iqbal, Mary Czerwinski, Priscilla Wong, Sean Rintel, Brent Hecht, Jaime Teevan, and Longqi Yang
    In Proceedings of the CHI Conference on Human Factors in Computing Systems 2021
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  3. Dissertation
    User-Centric Recommendation Systems
    Longqi Yang
    2019
    HTML PDF
  4. Recsys
    Leveraging post-click feedback for content recommendations
    Hongyi Wen, Longqi Yang, and Deborah Estrin
    In Proceedings of the 13th ACM Conference on Recommender Systems 2019
    PDF Code
  5. KDD
    Log2Intent: Towards interpretable user modeling via recurrent semantics memory unit
    Zhiqiang Tao, Sheng Li, Zhaowen Wang, Chen Fang, Longqi Yang, Handong Zhao, and Yun Fu
    In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 2019
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  6. WWW
    How intention informed recommendations modulate choices: A field study of spoken word content
    Longqi Yang, Michael Sobolev, Yu Wang, Jenny Chen, Drew Dunne, Christina Tsangouri, Nicola Dell, Mor Naaman, and Deborah Estrin
    In The World Wide Web Conference 2019
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  7. WSDM
    More than just words: Modeling non-textual characteristics of podcasts
    Longqi Yang, Yu Wang, Drew Dunne, Michael Sobolev, Mor Naaman, and Deborah Estrin
    In Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining 2019
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  8. TIST
    Characterizing User Skills from Application Usage Traces with Hierarchical Attention Recurrent Networks
    Longqi Yang, Chen Fang, Hailin Jin, Matthew D Hoffman, and Deborah Estrin
    ACM Transactions on Intelligent Systems and Technology (TIST) 2018
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  9. Recsys
    Modularizing deep neural network-inspired recommendation algorithms
    Longqi Yang, Eugene Bagdasaryan, and Hongyi Wen
    In Proceedings of the 12th ACM Conference on Recommender Systems 2018
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  10. Recsys
    Understanding user interactions with podcast recommendations delivered via voice
    Longqi Yang, Michael Sobolev, Christina Tsangouri, and Deborah Estrin
    In Proceedings of the 12th ACM Conference on Recommender Systems 2018
    PDF Slides
  11. Recsys
    Exploring recommendations under user-controlled data filtering
    Hongyi Wen, Longqi Yang, Michael Sobolev, and Deborah Estrin
    In Proceedings of the 12th ACM Conference on Recommender Systems 2018
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  12. Recsys
    Unbiased offline recommender evaluation for missing-not-at-random implicit feedback
    Longqi Yang, Yin Cui, Yuan Xuan, Chenyang Wang, Serge Belongie, and Deborah Estrin
    In Proceedings of the 12th ACM Conference on Recommender Systems 2018
    PDF Code Slides
  13. WSDM
    Openrec: A modular framework for extensible and adaptable recommendation algorithms
    Longqi Yang, Eugene Bagdasaryan, Joshua Gruenstein, Cheng-Kang Hsieh, and Deborah Estrin
    In Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining 2018
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  14. WWW
    Collaborative metric learning
    Cheng-Kang Hsieh, Longqi Yang, Yin Cui, Tsung-Yi Lin, Serge Belongie, and Deborah Estrin
    In Proceedings of the 26th international conference on world wide web 2017
    PDF Slides
  15. WWW
    Personalizing software and web services by integrating unstructured application usage traces
    Longqi Yang, Chen Fang, Hailin Jin, Matthew D Hoffman, and Deborah Estrin
    In Proceedings of the 26th International Conference on World Wide Web Companion 2017
    PDF Slides
  16. TOIS/SIGIR
    Yum-me: a personalized nutrient-based meal recommender system
    Longqi Yang, Cheng-Kang Hsieh, Hongjian Yang, Nicola Dell, Serge Belongie, and Deborah Estrin
    ACM Transactions on Information Systems (TOIS) 2017
    PDF Supp Code
  17. Leveraging multi-modal sensing for mobile health: a case review in chronic pain
    Min S Hane Aung, Faisal Alquaddoomi, Cheng-Kang Hsieh, Mashfiqui Rabbi, Longqi Yang, JP Pollak, Deborah Estrin, and Tanzeem Choudhury
    IEEE journal of selected topics in signal processing 2016
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  18. CSCW
  19. WWW
    Immersive recommendation: News and event recommendations using personal digital traces
    Cheng-Kang Hsieh, Longqi Yang, Honghao Wei, Mor Naaman, and Deborah Estrin
    In Proceedings of the 25th International Conference on World Wide Web 2016
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  20. Your activities of daily living (YADL) an image-based survey technique for patients with arthritis
    Longqi Yang, Diana Freed, Alex Wu, Judy Wu, JP Pollak, and Deborah Estrin
    In Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare 2016
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  21. ICDM
    Beyond classification: Latent user interests profiling from visual contents analysis
    Longqi Yang, Cheng-Kang Hsieh, and Deborah Estrin
    In 2015 IEEE International Conference on Data Mining Workshop (ICDMW) 2015
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  22. CIKM
    Plateclick: Bootstrapping food preferences through an adaptive visual interface
    Longqi Yang, Yin Cui, Fan Zhang, JP Pollak, Serge Belongie, and Deborah Estrin
    In Proceedings of the 24th acm international on conference on information and knowledge management 2015
    PDF Slides
  23. Inferring occupancy from opportunistically available sensor data
    Longqi Yang, Kevin Ting, and Mani Srivastava
    In 2014 IEEE International Conference on Pervasive Computing and Communications (PerCom) 2014
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