Yaoyao Liu

Research Interests

• Computer Vision: image recognition, image generation
• Machine Learning: meta-learning, incremental learning

Recent News

• [Aug. 2020] Our paper about few-shot learning is accepted to IEEE TPAMI.
• [July 2020] Our paper about few-shot learning is accepted to ECCV 2020.
• [Feb. 2020] Our paper about incremental learning is accepted to CVPR 2020.
• [Feb. 2020] We will host the ACM Multimedia Asia 2020 conference in Singapore!
• [Sept. 2019] Our paper about few-shot learning is accepted to NeurIPS 2019.
• [Mar. 2019] Our paper about few-shot learning is accepted to CVPR 2019.

Publications

• Meta-Transfer Learning through Hard Tasks
  Qianru Sun*, Yaoyao Liu*, Zhaozheng Chen, Tat-Seng Chua, Bernt Schiele
  (*=Equal contribution)
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
  [PDF] [BibTex]

• An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
  Yaoyao Liu, Bernt Schiele, Qianru Sun
  European Conference on Computer Vision (ECCV), 2020.
  [PDF] [Code] [Project] [BibTex]

• Mnemonics Training: Multi-Class Incremental Learning without Forgetting
  Yaoyao Liu, Yuting Su, An-An Liu, Bernt Schiele, Qianru Sun
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  [PDF] [Code] [BibTex] Oral Presentation

• Learning to Self-Train for Semi-Supervised Few-Shot Classification
  Xinzhe Li, Qianru Sun, Yaoyao Liu, Shibao Zheng, Qin Zhou, Tat-Seng Chua, Bernt Schiele
  Annual Conference on Neural Information Processing Systems (NeurIPS), 2019.
  [PDF] [Code] [Poster] [BibTex]

• Meta-Transfer Learning for Few-Shot Learning
  Qianru Sun*, Yaoyao Liu*, Tat-Seng Chua, Bernt Schiele
  (*=Equal contribution)
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
  [PDF] [Code] [Project] [BibTex] Stars on GitHub

Selected Talks

• Annotation-Efficient Learning: Class-Incremental Learning and Few-Shot Learning
  School of Information Systems, Singapore Management University (Online)
  Singapore, September 2020 [Slides]

• Mnemonics Training: Multi-Class Incremental Learning without Forgetting
  CVPR Oral Presentation (Online)
  Seattle, WA, United States, June 2020 [Video]

• Learning to Self-Train for Semi-Supervised Few-Shot Classification
  NeurIPS Official Meetups
  Beijing, China, December 2019 [Slides]

• Multi-Class Incremental Learning
  School of Computer Science and Engineering, Nanyang Technological University
  Singapore, July 2019 [Slides]

• Meta-Transfer Learning for Few-Shot Learning
  School of Computing, National University of Singapore
  Singapore, April 2019 [Slides]

Professional Services

• Co-organizer of ACM MM Asia 2020.
• Program Committee Member of AAAI 2021.
• Program Committee Member of NeurIPS 2020.
• Invited Reviewer for IEEE Transactions on Image Processing.
• Invited Reviewer for Neural Networks.
• Invited Reviewer for Information Processing and Management.
• Invited Reviewer for Neural Processing Letters.
• Invited Reviewer for Multimedia Tools and Applications.
• Invited Reviewer for IEEE Access.
• External Reviewer of IJCAI-ECAI 2018.

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