Qingyun Wu

    Calculated based on number of publications stored in Pure and citations from Scopus
    20162023

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    • 2022

      Automated Machine Learning & Tuning with FLAML

      Wang, C., Wu, Q., Liu, X. & Quintanilla, L., Aug 14 2022, KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 4828-4829 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

      2 Scopus citations
    • 2021

      ChaCha for Online AutoML

      Wu, Q., Wang, C., Langford, J., Mineiro, P. & Rossi, M., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 11263-11273 11 p. (Proceedings of Machine Learning Research; vol. 139).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

      3 Scopus citations
    • When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution

      Li, C., Wu, Q. & Wang, H., Jul 11 2021, SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 1410-1419 10 p. 3462852. (SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

      Open Access
      5 Scopus citations
    • 2020

      Estimation–Action–Reflection: Towards deep interaction between conversational and recommender systems

      Lei, W., He, X., Miao, Y., Wu, Q., Hong, R., Kan, M. Y. & Chua, T. S., Jan 20 2020, WSDM 2020 - Proceedings of the 13th International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 304-312 9 p. (WSDM 2020 - Proceedings of the 13th International Conference on Web Search and Data Mining).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

      Open Access
      196 Scopus citations
    • Fast distributed bandits for online recommendation systems

      Mahadik, K., Wu, Q., Li, S. & Sabne, A., Jun 29 2020, Proceedings of the 34th ACM International Conference on Supercomputing, ICS 2020. Association for Computing Machinery, (Proceedings of the International Conference on Supercomputing).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

      Open Access
      57 Scopus citations
    • Global and Local Differential Privacy for Collaborative Bandits

      Wang, H., Zhao, Q., Wu, Q., Chopra, S., Khaitan, A. & Wang, H., Sep 22 2020, RecSys 2020 - 14th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc, p. 150-159 10 p. (RecSys 2020 - 14th ACM Conference on Recommender Systems).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

      27 Scopus citations
    • Learning by Exploration: New Challenges in Real-World Environments

      Wu, Q., Wang, H. & Wang, H., Aug 23 2020, KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 3575-3576 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

      2 Scopus citations
    • 2019

      Dynamic ensemble of contextual bandits to satisfy users' changing interests

      Wu, Q., Wang, H., Li, Y. & Wang, H., May 13 2019, The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019. Association for Computing Machinery, Inc, p. 2080-2090 11 p. (The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

      19 Scopus citations
    • Factorization bandits for online influence maximization

      Wu, Q., Li, Z., Wang, H., Chen, W. & Wang, H., Jul 25 2019, KDD 2019 - Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 636-646 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

      Open Access
      27 Scopus citations
    • Variance reduction in gradient exploration for online learning to rank

      Wang, H., Kim, S., McCord-Snook, E., Wu, Q. & Wang, H., Jul 18 2019, SIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 835-844 10 p. (SIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

      Open Access
      30 Scopus citations
    • 2018

      Learning contextual bandits in a non-stationary environment

      Wu, Q., Iyer, N. & Wang, H., Jun 27 2018, 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018. Association for Computing Machinery, Inc, p. 495-504 10 p. (41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

      Open Access
      53 Scopus citations
    • 2017

      Returning is believing: Optimizing long-term user engagement in recommender systems

      Wu, Q., Wang, H., Hong, L. & Shi, Y., Nov 6 2017, CIKM 2017 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management. Association for Computing Machinery, p. 1927-1936 10 p. (International Conference on Information and Knowledge Management, Proceedings; vol. Part F131841).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

      52 Scopus citations
    • 2016

      Contextual bandits in a collaborative environment

      Wu, Q., Wang, H., Gu, Q. & Wang, H., Jul 7 2016, SIGIR 2016 - Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 529-538 10 p. (SIGIR 2016 - Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

      81 Scopus citations
    • Learning hidden features for contextual bandits

      Wang, H., Wu, Q. & Wang, H., Oct 24 2016, CIKM 2016 - Proceedings of the 2016 ACM Conference on Information and Knowledge Management. Association for Computing Machinery, p. 1633-1642 10 p. (International Conference on Information and Knowledge Management, Proceedings; vol. 24-28-October-2016).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

      Open Access
      68 Scopus citations