HomeFacultyYang Liu
刘阳
Yang Liu
Research Scientist
liuy856@mail.sysu.edu.cn; aryanr@163.com

教师简介


He is currently a research scientist at HCP Lab, School of Computer Science and Engineering, Sun-Yat-Sen University. He has authored or coauthored more than 10 papers, including TIP, TCSVT and SPL. He has served as a reviewer for numerous academic journals, including TNNLS, TCYB, TMM and TCSVT, PR, etc. He is also the reviewer for NSFC (National Natural Science Foundation of China). His current research interests include video analysis and understanding, self-supervised learning, transfer learning. He is also the Member of the IEEE.

 

 

研究领域


Video Analysis and Understanding, Human Action Recognition
Transfer Learning, Multi-modal Representation Learning, Knowledge Distillation
Deep Learning, Self-supervised Learning, Reinforcement Learning

 

 

获奖及荣誉


2018 National Scholarship for PhD Students
2018 Excellent PhD Students
2017 First Class Academic Scholarship for PhD Students
2015 Second Class Academic Scholarship for Master Students
2013 Third Prize of National English Competition
2012 Second Prize in National Mathematical Modeling Contest

 

 

教育背景


2019, Xidian University, Ph.D degree of Telecommunications and Information Systems

2014, Chang'an University, Bachelor Degree in telecommunication

 

工作经历


2019-Present:Sun Yat-sen University, post doctoral fellow

 

 

主要学术兼职


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)

 

 

科研项目


1.  National Natural Science Foundation of China, ¥ 300K, 2021-2024
2.  National Natural Science Foundation of Guangdong Province, ¥ 100K, 2021-2024
3.  General Program of China Postdoctoral Science Foundation, ¥ 80K, 2020-2022
4.  Fundamental Research Funds for the Central Universities, ¥ 120K, 2020-2022

 

 

代表性论著


Temporal Frequency Contrastive Graph for Self-supervised Video Understanding
Yang Liu, Keze Wang, Haoyuan Lan, Liang Lin.
Preprint, 2021.

Temporal Contrastive Graph for Self-supervised Video Representation Learning
Yang Liu, Keze Wang, Haoyuan Lan, Liang Lin.
Preprint, 2021.

Semantics-aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition
Yang Liu, Guanbin Li, Liang Lin.
IEEE Transactions on Image Processing (Under Major Revision), 2021.

Deep Image-to-Video Adaptation and Fusion Networks for Action Recognition 
Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang, Chao Yao.
IEEE Transactions on Image Processing, 2020. (CCF-A, JCR 1, IF:9.340)

Hierarchically Learned View-Invariant Representations for Cross View Action Recognition 
Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang.
IEEE Transactions on Circuits and Systems for Video Technology, 2019. (JCR 1, IF:4.133)

Global Temporal Representation based CNNs for Infrared Action Recognition
Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang, Chao Yao.
IEEE Signal Processing Letters, 2018. (JCR 2, IF:3.105)

Transferable Feature Representation for Visible-to-Infrared Cross-Dataset Human Action Recognition 
Yang Liu, Zhaoyang Lu, Jing Li, Chao Yao, Yanzi Deng.
Complexity, 2018. (JCR 2, IF:2.462)

Combining Multiple Features for Cross-Domain Face Sketch Recognition[pdf]
Yang Liu, Jing Li, Zhaoyang Lu,Tao Yang, Zijian Liu.
Chinese Conference on Biometric Recognition (CCBR), 2016.

A Geometric Segmentation Method for Traffic Scenes Using Super-Pixel Label Matching
Jiangce Hu, Zhaoyang Lu, Jing Li, Yanzi Deng, Yang Liu.
Journal of Xi’an Jiaotong University, 2018.

 

Road Scene Segmentation Using Hierarchical Graph-based Inference
Yanzi Deng, Zhaoyang Lu, Jing Li, Yang Liu.
Journal of Xi’an Jiaotong University, 2017.

 

Yang Liu
Yang Liu
Research Scientist
liuy856@mail.sysu.edu.cn; aryanr@163.com

教师简介


He is currently a research scientist at HCP Lab, School of Computer Science and Engineering, Sun-Yat-Sen University. He has authored or coauthored more than 10 papers, including TIP, TCSVT and SPL. He has served as a reviewer for numerous academic journals, including TNNLS, TCYB, TMM and TCSVT, PR, etc. He is also the reviewer for NSFC (National Natural Science Foundation of China). His current research interests include video analysis and understanding, self-supervised learning, transfer learning. He is also the Member of the IEEE.

 

 

研究领域


Video Analysis and Understanding, Human Action Recognition
Transfer Learning, Multi-modal Representation Learning, Knowledge Distillation
Deep Learning, Self-supervised Learning, Reinforcement Learning

 

 

获奖及荣誉


2018 National Scholarship for PhD Students
2018 Excellent PhD Students
2017 First Class Academic Scholarship for PhD Students
2015 Second Class Academic Scholarship for Master Students
2013 Third Prize of National English Competition
2012 Second Prize in National Mathematical Modeling Contest

 

 

教育背景


2019, Xidian University, Ph.D degree of Telecommunications and Information Systems

2014, Chang'an University, Bachelor Degree in telecommunication

 

工作经历


2019-Present:Sun Yat-sen University, post doctoral fellow

 

 

主要学术兼职


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)

 

 

科研项目


1.  National Natural Science Foundation of China, ¥ 300K, 2021-2024
2.  National Natural Science Foundation of Guangdong Province, ¥ 100K, 2021-2024
3.  General Program of China Postdoctoral Science Foundation, ¥ 80K, 2020-2022
4.  Fundamental Research Funds for the Central Universities, ¥ 120K, 2020-2022

 

 

代表性论著


Temporal Frequency Contrastive Graph for Self-supervised Video Understanding
Yang Liu, Keze Wang, Haoyuan Lan, Liang Lin.
Preprint, 2021.

Temporal Contrastive Graph for Self-supervised Video Representation Learning
Yang Liu, Keze Wang, Haoyuan Lan, Liang Lin.
Preprint, 2021.

Semantics-aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition
Yang Liu, Guanbin Li, Liang Lin.
IEEE Transactions on Image Processing (Under Major Revision), 2021.

Deep Image-to-Video Adaptation and Fusion Networks for Action Recognition 
Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang, Chao Yao.
IEEE Transactions on Image Processing, 2020. (CCF-A, JCR 1, IF:9.340)

Hierarchically Learned View-Invariant Representations for Cross View Action Recognition 
Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang.
IEEE Transactions on Circuits and Systems for Video Technology, 2019. (JCR 1, IF:4.133)

Global Temporal Representation based CNNs for Infrared Action Recognition
Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang, Chao Yao.
IEEE Signal Processing Letters, 2018. (JCR 2, IF:3.105)

Transferable Feature Representation for Visible-to-Infrared Cross-Dataset Human Action Recognition 
Yang Liu, Zhaoyang Lu, Jing Li, Chao Yao, Yanzi Deng.
Complexity, 2018. (JCR 2, IF:2.462)

Combining Multiple Features for Cross-Domain Face Sketch Recognition[pdf]
Yang Liu, Jing Li, Zhaoyang Lu,Tao Yang, Zijian Liu.
Chinese Conference on Biometric Recognition (CCBR), 2016.

A Geometric Segmentation Method for Traffic Scenes Using Super-Pixel Label Matching
Jiangce Hu, Zhaoyang Lu, Jing Li, Yanzi Deng, Yang Liu.
Journal of Xi’an Jiaotong University, 2018.

 

Road Scene Segmentation Using Hierarchical Graph-based Inference
Yanzi Deng, Zhaoyang Lu, Jing Li, Yang Liu.
Journal of Xi’an Jiaotong University, 2017.