Yuanzhi Liang

liangyzh18 [at] outlook [dot] com


ABOUT ME

I am currently a Ph.D. student at the University of Technology Sydney, advised by Dr. Linchao Zhu and Prof. Yi Yang. I received a Master's degree from Xi’an Jiaotong Univerisity in 2020. I was a member of the SMILES LAB, advised by Prof. Xueming Qian and Prof. Li Zhu. My research focuses on representation learning.


WORK EXPERIENCE

  • Aug 2021 - Nov 2021, Alibaba DAMO Academy
    • Research intern working on virtual human synthesis.

  • Jul 2020 - Jul 2021, Baidu Research
    • Research intern working on visual knowledge embedding, object recognition, and multi-modal representation.

  • Mar 2020 - Jun 2020, JD AI Research
    • Research intern working on product recognition.

  • Aug 2018 - Jun 2019, JD AI Research
    • Research intern working on visual-language representation learning.


SELECTED HONORS

  • First place in AliProducts Challenge @ CVPR 2020 the RetailVision workshop.
  • First place in iMat Product Competition @ CVPR 2019 FGVC6 workshop.
  • First place in in Fieldguide Challenge: Moths & Butterflies @ CVPR 2019 FGVC6 workshop.
  • Second place in iFood Competition @ CVPR 2019 FGVC6 workshop.
  • Third place in iMet2020 Fine-grained Attributes Classification Competition @ CVPR 2020 FGVC7 workshop.

PUBLICATIONS

  • A Simple Episodic Linear Probe Improves Visual Recognition in the Wild.
    Yuanzhi Liang, Linchao Zhu, Xiaohan Wang, and Yi Yang.
    Accepted by CVPR 2022

  • SEEG: Semantic Energized Co-speech Gesture Generation.
    Yuanzhi Liang, Qianyu Feng, Linchao Zhu, Li Hu, Pan Pan and Yi Yang.
    Accepted by CVPR 2022

  • VrR-VG: Refocusing Visually-Relevant Relationships.
    Yuanzhi Liang, Yalong Bai, Wei Zhang, Xueming Qian, Li Zhu and Tao Mei.
    Accepted by ICCV 2019

  • Towards Better Railway Service: Passengers Counting in Railway Compartment
    Yuanzhi Liang, Zhu Li, and Xueming Qian.
    Accepted by TCSVT 2020

  • Removing Raindrops and Rain Streaks in One Go.
    Ruijie Quan, Xin Yu, Yuanzhi Liang, and Yi Yang.
    Accepted by CVPR 2021

  • Food and Ingredient Joint Learning for Fine-Grained Recognition
    Chengxu Liu, Yuanzhi Liang, Yao Xue, Xueming Qian, Jianlong Fu.
    Accepted by TCSVT 2020