Dr. Guo-Jun Qi

Guo-Jun Qi

  • Director
  • MAPLE Research
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Dr. Qi is a Professor of AI at Westlake University, and the director of Machine Perception and Learning (MAPLE) lab. He was a Technical VP at Huawei Research as well as the Chief Scientist of Smart Cities at Huawei Cloud EI Product Department, and later the Chief AI Scientist and Senior Director of OPPO Research. He was a faculty member and the director of the MAPLE lab in the Computer Science Department in the University of Central Florida. Prior to joining UCF, He was Research Staff Member at the IBM T.J. Watson Research Center (Yorktown Heights, NY). Before that, he had worked with Professor Thomas Huang in the Image Formation and Processing Group at the Beckman Institute in the University of Illinois at Urbana-Champaign, and received the Ph.D in Electrial and Computer Engineering.

Dr. Qi's main research interests include computer vision, pattern recognition, data mining, and multimedia computing. In particular, he is interested in information and knowledge discovery, analysis and aggregation, from multiple data sources of diverse modalities (e.g., images, audios, sensors and text). His research also aims at effectively leveraging and aggregating data shared in an open connected environment (e.g., social, sensor and mobile networks), as well as developing computational models and theory for general-purpose knowledge and information systems. His research results have been published in several venues, including CVPR, ICCV, ACM Multimedia, KDD, ICML, IEEE T. PAMI, IEEE T. KDE, Proceedings of IEEE.

Dr. Qi has served or will serve as a General Chair for IEEE ICME 2021, a Program Committee Chair for ACM Multimedia 2020, ACM ICIMCS 2018, MMM 2016, and Area Chair (Senior Program Committee Member) for ACM Multimedia, KDD, CIKM and ICME, as well as Program Committee Member for CVPR, ICCV, and ICIP. He has also served as Associate Editors for ACM TKDD, IEEE TIP, IEEE TMM, IEEE TCSVT, and Pattern REcognition. In addition, Dr. Qi have co-edited two special issues of "Deep Learning for Multimedia Computing" and "Big Media Data: Understanding, Search and Mining" for IEEE T. Multimedia and IEEE T. Big Data respecitvely. He regularly reviews for IEEE. T. PAMI, IEEE T. Image Processing, IEEE T. CSVT etc.

Dr. Qi is a Fellow of IEEE, IAPR and AAIA, as well as an ACM Distinguished Scientist.

Research Interests

  1. Artificial Intelligence and Machine Learning
  2. Computer Vision and Multimedia Computing
  3. Data Mining and Analytics



Doctor of Engineering

University of Science and Technology of China


Bachelor of Engineering

University of Science and Technology of China

Honors & Awards

  • 2022 IAPR Fellow, International Association for Pattern Recognition (IAPR)
  • 2022 AAIA Fellow, Asia-Pacific Artificial Intelligence Association (AAIA)
  • 2022 Outstanding Associate Editor, IEEE Transactions on Multimedia
  • 2021 IEEE Fellow, Institute of Electrical and Electronics Engineers (IEEE)
  • 2021 ACM Distinguished Scientist, Association for Computing Machinery (ACM)
  • 2020 Best Grand Challenge Organizer Award, ACM Multimedia 2020
  • 2019 Best Associate Editor, IEEE Transactions on Circuits and Systems for Video Technology (CSVT)
  • 2017 Best Paper Finalist, the World’s FIRST 10K award, IEEE International Conference on Multimedia and Expo (ICME)
  • 2015 Best Paper Runner-up, International ACM Conference on Multimedia.
  • 2014 Best Student Paper Award (co-recipent as the mentor of the student author), IEEE International Conference on Data Mining (ICDM).
  • 2013 "Best of ICDE Paper" by IEEE Transactions on Knowledge and Data Engineering.
  • 2011,2012 IBM Fellowship, IBM.
  • 2007 Best Paper Award, The 15th ACM International Conference on Multimedia (ACM SIGMM).
  • 2007 Microsoft Fellowship, Microsoft.
  • 2005 Guo Moruo Scholarship, USTC (Top Scholarship in USTC).

Selected Professional Services

  • Associate Editor

    • ACM Transactions on Knowledge Discovery from Data (ACM T-KDD).
    • IEEE Transactions on Image Processing (IEEE T-IP).
    • IEEE Transactions on Circuits and Systems for Video Technology (IEEE T-CSVT).
    • IEEE Transactions on Multimedia (IEEE T-MM).
    • Pattern Recognition (Elsevier)

  • Lead General Chair

    • IEEE International Conference on Multimedia and Expo (ICME 2021) - IEEE's flagship conference on multimedia.

  • Program Chair

    • ACM International Conference on Multimedia (ACM MM 2020) - ACM's flagship conference on multimedia.
    • ACM International Conference on Internet Multimedia Computing and Service (ACM ICIMCS 2018).
    • International Conference on MultiMedia Modeling (MMM 2016).

  • Steering Committee Member

    • IEEE International Conference on Multimedia and Expo (Representative of ICME General Chairs), IEEE (2021-2022).
    • International Conference on MultiMedia Modeling, Springer (2018 - present).

  • Major Committee Member/Panelist

    • Panelist, Senior Member Application Review Panel, IEEE Admission and Advancement (A&A) Committee, 2020.
    • Member, IEEE SPS Conference Board, IEEE Signal Processing Society (SPS), 2022.

  • Guest Editor

    • Special Issue "Big Media Data: Understanding, Search, and Mining", in IEEE Transactions on Big Data (IEEE TBD).
    • Special Issue “Deep Learning for Multimedia Computing”, in IEEE Transactions on Multimedia (IEEE T MM).
    • Special Issue “social media mining and knowledge discovery”, in Multimedia Systems, Springer

  • Area Chairs (Senior Program Committee Members)

    • International ACM Conference on Multimedia (ACM MM 2015, ACM MM 2016).
    • ACM International Conference on Information and Knowledge Management (CIKM 2015)
    • International SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016).
    • International Conference on Computer Vision (ICCV 2017).

  • Program Committee Member

    • International IEEE Conference on Data Mining (ICDM 2015).
    • International ACM Conference on Multimedia (ACM MM 2014).
    • Annual Meeting of the Association for Computational Linguistics (ACL 2015, ACL 2014, ACL 2013).
    • International Conference on Machine Learning and Applications (ICMLA 2012).
    • International Conference on Multimedia Modeling (MMM 2009, MMM 2011, MMM 2013).
    • ACM International Conference on Image and Video Retrieval (CIVR 2010).
    • The IADIS Visual Communication 2009 Conference.