publications

  1. Preprint
    WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback
    Taiwei Shi, Zhuoer Wang, Longqi Yang, Ying-Chun Lin, Zexue He, Mengting Wan, Pei Zhou, Sujay Jauhar, Xiaofeng Xu, Xia Song, and Jennifer Neville
    arXiv:2408.15549 2024
    PDF
  2. ACL
    Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models
    Ying-Chun Lin, Jennifer Neville, Jack Stokes, Longqi Yang, Tara Safavi, Mengting Wan, Scott Counts, Siddharth Suri, Reid Andersen, Xiaofeng Xu, Deepak Gupta, Sujay Kumar Jauhar, Xia Song, Georg Buscher, Saurabh Tiwary, Brent Hecht, and Jaime Teevan
    In Annual Meeting of the Association for Computational Linguistics
    PDF
  3. KDD
    TnT-LLM: Text Mining at Scale with Large Language Models
    Mengting Wan, Tara Safavi, Sujay Kumar Jauhar, Yujin Kim, Scott Counts, Jennifer Neville, Siddharth Suri, Chirag Shah, Ryen W. White, Longqi Yang, Reid Andersen, Georg Buscher, Dhruv Joshi, and Nagu Rangan
    In ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2024
    PDF
  4. Preprint
    The Use of Generative Search Engines for Knowledge Work and Complex Tasks
    Siddharth Suri, Scott Counts, Leijie Wang, Chacha Chen, Mengting Wan, Tara Safavi, Jennifer Neville, Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Sathish Manivannan, Nagu Rangan, and Longqi Yang
    arXiv:2404.04268 2024
    PDF
  5. Tech Report
    Microsoft New Future of Work Report 2023
    Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O’Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, and Jaime Teevan
    2023
    HTML PDF
  6. PNAS
    Navigating the new normal: Examining coattendance in a hybrid work environment
    Marie-Laure Charpignon, Yuan Yuan, Dehao Zhang, Fereshteh Amini, Longqi Yang, Sonia Jaffe, and Siddharth Suri
    Proceedings of the National Academy of Sciences 2023
    HTML PDF
  7. Preprint
    PEARL: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers
    Sheshera Mysore, Zhuoran Lu, Mengting Wan, Longqi Yang, Steve Menezes, Tina Baghaee, Emmanuel Barajas Gonzalez, Jennifer Neville, and Tara Safavi
    arXiv:2311.09180 2023
    PDF
  8. Preprint
    Leveraging Large Language Models for Collective Decision-Making
    Marios Papachristou, Longqi Yang, and Chin-Chia Hsu
    arXiv:2311.04928 2023
    PDF
  9. Preprint
    Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies
    Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Scott Counts, Sarkar Snigdha Sarathi Das, Ali Montazer, Sathish Manivannan, Jennifer Neville, Xiaochuan Ni, Nagu Rangan, Tara Safavi, Siddharth Suri, Mengting Wan, Leijie Wang, and Longqi Yang
    arXiv:2309.13063 2023
    PDF
  10. ACL
    S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs
    Sarkar Snigdha Sarathi Das, Chirag Shah, Mengting Wan, Jennifer Neville, Longqi Yang, Reid Andersen, Georg Buscher, and Tara Safavi
    In Annual Meeting of the Association for Computational Linguistics 2024
    PDF
  11. PNAS
    Climate mitigation potentials of teleworking are sensitive to changes in lifestyle and workplace rather than ICT usage
    Yanqiu Tao, Longqi Yang, Sonia Jaffe, Fereshteh Amini, Peter Bergen, Brent Hecht, and Fengqi You
    Proceedings of the National Academy of Sciences 2023
    HTML PDF
  12. KDD
    Workplace Recommendation with Temporal Network Objectives
    Kiran Tomlinson, Jennifer Neville, Longqi Yang, Mengting Wan, and Cao Lu
    In ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2023
    PDF
  13. TORS
    Targeted Training for Multi-Organization Recommendation
    Kiran Tomlinson, Mengting Wan, Cao Lu, Brent Hecht, Jaime Teevan, and Longqi Yang
    ACM Transactions Recommender Systems 2023
    PDF
  14. WWW
    Large-Scale Analysis of New Employee Network Dynamics
    Yulin Yu, Longqi Yang, Siân Lindley, and Mengting Wan
    In ACM Web Conference 2023
    PDF
  15. CACM
    The Future of Information Work
    Longqi Yang, David Holtz, Sonia Jaffe, and Siddharth Suri
    Communications of the ACM 2022
    HTML PDF
  16. KDD
    Learning Causal Effects on Hypergraphs
    Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent Hecht, and Jaime Teevan
    In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 2022
    Best Research Paper Award PDF
  17. Tech Report
    Microsoft New Future of Work Report 2022
    Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, and Longqi Yang
    2022
    HTML PDF
  18. WSDM
    Learning fair node representations with graph counterfactual fairness
    Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, and Jundong Li
    In ACM International Conference on Web Search and Data Mining 2022
    PDF
  19. Nature
    The effects of remote work on collaboration among information workers
    Longqi Yang, David Holtz, Sonia Jaffe, Siddharth Suri, Shilpi Sinha, Jeffrey Weston, Connor Joyce, Neha Shah, Kevin Sherman, Brent Hecht, and Jaime Teevan
    Nature Human Behaviour 2022
    HTML PDF
  20. Recsys
    Local Factor Models for Large-Scale Inductive Recommendation
    Longqi Yang, Tobias Schnabel, Paul Bennett, and Susan Dumais
    In ACM Conference on Recommender Systems 2021
    PDF
  21. Recsys
    Learning to Represent Human Motives for Goal-directed Web Browsing
    Jyun-Yu Jing, Chia-Jung Lee, Longqi Yang, Bahareh Sarrafzadeh, Brent Hecht, and Jaime Teevan
    In ACM Conference on Recommender Systems 2021
    PDF
  22. 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
    HTML
  23. 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 CHI Conference on Human Factors in Computing Systems 2021
    Best Paper Honorable Mention HTML PDF
  24. Dissertation
    User-Centric Recommendation Systems
    Longqi Yang
    2019
    HTML PDF
  25. Recsys
    Leveraging post-click feedback for content recommendations
    Hongyi Wen, Longqi Yang, and Deborah Estrin
    In ACM Conference on Recommender Systems 2019
    PDF Code
  26. 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 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 2019
    PDF
  27. 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
    PDF
  28. 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 ACM International Conference on Web Search and Data Mining 2019
    PDF Code
  29. 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 2018
    PDF
  30. Recsys
    Modularizing deep neural network-inspired recommendation algorithms
    Longqi Yang, Eugene Bagdasaryan, and Hongyi Wen
    In ACM Conference on Recommender Systems 2018
    PDF
  31. Recsys
    Understanding user interactions with podcast recommendations delivered via voice
    Longqi Yang, Michael Sobolev, Christina Tsangouri, and Deborah Estrin
    In ACM Conference on Recommender Systems 2018
    PDF Slides
  32. Recsys
    Exploring recommendations under user-controlled data filtering
    Hongyi Wen, Longqi Yang, Michael Sobolev, and Deborah Estrin
    In ACM Conference on Recommender Systems 2018
    PDF
  33. 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 ACM Conference on Recommender Systems 2018
    PDF Code Slides
  34. WSDM
    Openrec: A modular framework for extensible and adaptable recommendation algorithms
    Longqi Yang, Eugene Bagdasaryan, Joshua Gruenstein, Cheng-Kang Hsieh, and Deborah Estrin
    In ACM International Conference on Web Search and Data Mining 2018
    PDF Slides
  35. WWW
    Collaborative metric learning
    Cheng-Kang Hsieh, Longqi Yang, Yin Cui, Tsung-Yi Lin, Serge Belongie, and Deborah Estrin
    In International Conference on World Wide Web 2017
    PDF Slides
  36. 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 International Conference on World Wide Web 2017
    PDF Slides
  37. 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 2017
    PDF Supp Code
  38. 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
    PDF
  39. CSCW
  40. WWW
    Immersive recommendation: News and event recommendations using personal digital traces
    Cheng-Kang Hsieh, Longqi Yang, Honghao Wei, Mor Naaman, and Deborah Estrin
    In International Conference on World Wide Web 2016
    PDF
  41. 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 EAI International Conference on Pervasive Computing Technologies for Healthcare 2016
    PDF
  42. ICDM
    Beyond classification: Latent user interests profiling from visual contents analysis
    Longqi Yang, Cheng-Kang Hsieh, and Deborah Estrin
    In IEEE International Conference on Data Mining Workshop 2015
    PDF Slides
  43. CIKM
    Plateclick: Bootstrapping food preferences through an adaptive visual interface
    Longqi Yang, Yin Cui, Fan Zhang, JP Pollak, Serge Belongie, and Deborah Estrin
    In ACM International on Conference on Information and Knowledge Management 2015
    PDF Slides
  44. Percom
    Inferring occupancy from opportunistically available sensor data
    Longqi Yang, Kevin Ting, and Mani Srivastava
    In IEEE International Conference on Pervasive Computing and Communications 2014
    Best Paper Runner Up PDF