Qing-Yuan Jiang

Ph.D. Candidate

LAMDA Group,
Department of Computer Science & Technology,
Nanjing University, Nanjing 210023, China


Supervisor:

Associate Professor Dr. Wu-Jun LI

Biography:
Currently I am a third year Ph.D. candidate of Department of Computer Science and Technology in Nanjing University and a member of LAMDA Group, lead by Professor Zhi-Hua Zhou. I received my B.Sc. degree in Computer Science and Technology in June 2014 from Nanjing University. Since September 2014, I was admitted to study for a M.Sc. degree in Nanjing University.

About Me:
My CV: link

Research Interest:
Machine learning, Learn to Hash

The Learning to Hash website:
  • Link

  • Publications:
  • Discrete Latent Factor Model for Cross-Modal Hashing. [pdf][github]
          Qing-Yuan Jiang and Wu-Jun Li.
          IEEE Transactions on Image Processing (TIP), 2019.
  • Deep Discrete Supervised Hashing. [pdf][github]
          Qing-Yuan Jiang, Xue Cui and Wu-Jun Li.
          IEEE Transactions on Image Processing (TIP), 2018.
  • Asymmetric Deep Supervised Hashing. [pdf][github]
          Qing-Yuan Jiang and Wu-Jun Li.
          Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI), 2018.
  • Deep Cross-Modal Hashing. [pdf][github]
          Qing-Yuan Jiang and Wu-Jun Li.
          Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
  • Scalable Graph Hashing with Feature Transformation. [pdf][github]
          Qing-Yuan Jiang and Wu-Jun Li.
          Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI), 2015.

  • Internship Experience:
  • ByteDance AI Lab (November, 2018~April,2019).

  • Professional Services:
  • Journal reviewer:
  •         IEEE Transactions on Pattern Analysis and Machine Intelligence
            IEEE Transactions on Neural Networks and Learning System
            IEEE Transactions on Image Processing
            IEEE Transactions on Signal Processing
            IEEE Transactions on Multimedia
  • Conference reviewer:
  •         NeurIPS 2019, ICML2019, AAAI-2019 (PC member).
            CVPR-2018, ACCV-2018.

    Teaching Assistant:
  • Data Structures. (With Dr. Wu-Jun LI. For Undergraduate Students, Autumn, 2016)
  •         Course Page
            Online Judge [A brief introduction]
  • Advanced Machine Learning. (With Dr. De-Chuan Zhan and Dr. Yang Yu. For Graduate Students, Autumn, 2018)
  •         Course Page

    Awards & Honors:
  • Excellent Project Completion in the National Undergraduate Innovation Program. Nanjing, June, 2014
  • National Graduate Scholarship for Master student. Nanjing, Oct, 2015
  • 英才奖学金. 南京, 2017年10月
  • National Graduate Scholarship for Ph.D. student. Nanjing, Oct, 2018

  • Correspondence:
  • Mail:
  •         Qingyuan Jiang
            National Key Laboratory for Novel Software Technology
            Nanjing University, Xianlin Compus
            163 Xianlin Avenue, Qixia District
            Nanjing 210023, China
  • Office:
  •         Room 113, Building of Computer Science and Technology,
            Xianlin Campus of Nanjing University
  • Email:
  •         jiangqy#lamda.nju.edu.cn or qyjiang24#gmail.com