Yang Liu (刘阳)

Primary Email: liuy856#mail.sysu.edu.cn (Please change # to @)
Secondary Email: aryanr#163.com (Please change # to @)
Office: D302, Southern Laboratory Building, Eastern Campus, Sun-Yat-Sen University, Guangzhou, China
Curriculum Vitae

I am currently a postdoctoral fellow at HCP Lab, School of Computer Science and Engineering, Sun-Yat-Sen University, working with Prof. Liang Lin.
I obtained my Ph.D degree of Telecommunications and Information Systems in 2019 at Phoenix-eye Lab, School of Telecommunications Engineering,
Xidian University, advised by Prof. Zhaoyang Lu. Before that, I received my B.S. degree in telecommunications engineering, School of Information Engineering,
Chang’an University in 2014. I am the reviewer of IEEE TNNLS, IEEE TCYB, IEEE TMM, IEEE TCSVT, IEEE THMS, IEEE SPL, PR, and NSFC. I am the IEEE Member.
My research interests include:

  • Computer Vision: Video Analysis and Understanding, Human Action Recognition
  • Machine Learning: Transfer Learning, Domain Adaptation, Knowledge Distillation
  • Representation Learning: Deep Learning, Self-supervised Learning, Reinforcement Learning
  • Intelligent Transportation System: Anomaly Detection, Traffic Prediction, Data Mining


News (新闻)

  • 2021-04: The code for SAKDN is available.
  • 2021-02: I become a Member of the IEEE.
  • 2020-12: I am invitied as the reviewing expert for NSFC.
  • 2020-11: I received the funding from National Natural Science Foundation of Guangdong Province of China.
  • 2020-09: I received the funding from National Natural Science Foundation of China.
  • 2020-06: I received the funding from China Postdoctoral Science Foundation.
  • 2020-03: I received the funding from Fundamental Research of the Central Universities.
  • 2020-01: My Ph.D Thesis (psw:ithd) is available now.
  • 2019-10: Codes and datasets for IEEE TIP is available.
  • 2019-10: One paper is accepted by IEEE Transactions on Image Processing.
  • 2019-08: I start working as a postdoctoral fellow at Sun-Yat-Sen University.
  • 2019-06: I obtain my Ph.D degree from Xidian University.

Publications (出版物)

Preprint (预印本)
  1. Yang Liu, Keze Wang, Haoyuan Lan, Liang Lin
    Temporal Frequency Contrastive Graph Learning for Self-supervised Video Understanding.
    Journal. 2021
  2. Yang Liu, Keze Wang, Haoyuan Lan, Liang Lin
    Temporal Contrastive Graph Learning for Video Action Recognition and Retrieval. [arXiv] [code coming soon]
    Conference. 2021
Journal (期刊论文)
  1. Yang Liu, Keze Wang, Guanbin Li, Liang Lin
    Semantics-aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition. [arXiv] [code]
    IEEE Transactions on Image Processing (R1) (T-IP, JCR Rank 1, CCF-A, IF: 9.34). 2021
  2. Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang, Chao Yao
    Deep Image-to-Video Adaptation and Fusion Networks for Action Recognition. [pdf] [code]
    IEEE Transactions on Image Processing (T-IP, JCR Rank 1, CCF-A, IF: 9.34). 2020
  3. Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang
    Hierarchically Learned View-Invariant Representations for Cross View Action Recognition. [pdf] [code]
    IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT, JCR Rank1, CCF-B, IF: 4.133). 2019
  4. Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang, Chao Yao
    Global Temporal Representation based CNNs for Infrared Action Recognition. [pdf] [code]
    IEEE Signal Processing Letters (SPL, JCR Rank2, CCF-C, IF: 3.105). 2018
  5. Yang Liu, Zhaoyang Lu, Jing Li, Chao Yao, Yanzi Deng
    Transferable Feature Representation for Visible-to-Infrared Cross-Dataset Human Action Recognition. [pdf] [code] [XD145 dataset]
    Complexity (JCR Rank2, IF: 2.462). 2018
  6. Jiangce Hu, Zhaoyang Lu, Jing Li, Yanzi Deng, Yang Liu
    A Geometric Segmentation Method for Traffic Scenes Using Super-Pixel Label Matching.
    Journal of Xi'an Jiaotong University. 2018
  7. Yanzi Deng, Zhaoyang Lu, Jing Li, Yang Liu
    Road Scene Segmentation Using Hierarchical Graph-based Inference.
    Journal of Xi'an Jiaotong University. 2017
Conference (会议论文)
  1. Yang Liu, Jing Li, Zhaoyang Lu, Tao Yang, Zijian Liu
    Combining Multiple Features for Cross-Domain Face Sketch Recognition. [pdf]
    Chinese Conference on Biometric Recognition (CCBR). 2016
Patents (Chinese)
  1. 卢朝阳, 邓顺,李静, 刘阳, 许琼
    一种对装有车载监控终端的车辆监控系统及其方法.
    国家发明专利 CN106600951B.
PhD Thesis (博士学位论文)
  1. Yang Liu
    Cross-domain Human Action Recognition via Transfer Learning. [pdf]
    PhD thesis, Xidian University, June 30, 2019.
    Committee: Zhaoyang Lu, Jing Li, Quanxue Gao, Peiyi Shen, Guizhong Liu, Chun Qi.

Fundings (项目资助)

  • National Natural Science Foundation of China (国家自然科学基金-青年项目), ¥ 240K, 2021-2024
  • National Natural Science Foundation of Guangdong Province (广东省基础与应用基础基金自然科学基金-面上项目), ¥ 100K, 2021-2024
  • General Program of China Postdoctoral Science Foundation (中国博士后科学基金-面上项目), ¥ 80K, 2020-2022
  • Fundamental Research Funds for the Central Universities (中央高校基本科研业务费-青年教师培育项目), ¥ 120K, 2020-2022

Academic services (学术服务)

    Reviewer for
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Human-Machine Systems
  • IEEE Signal Processing Letters
  • IEEE Access
  • Pattern Recognition
  • Visual Computer
  • NSFC (National Natural Science Foundation of China)

Selected honors & awards (奖励与荣誉)

  • National Scholarship for PhD Students, 2018
  • Excellent PhD Students, 2018
  • First Class Scholarship for PhD Students, 2017
  • Third Prize of National English Competition, 2013
  • Second Prize in National Mathematical Modeling Contest, 2012