Yang Liu

Biography

I’m Yang Liu (刘阳), a post-doctoral fellow at HCP Lab, Sun-Yat-Sen University with co-advisor Prof. Liang Lin. Before that, I obtained my Ph.D degree in 2019 at School of Telecommunications, Xidian University advised by Prof. Zhaoyang Lu. During my Ph.D study, I worked closely with Prof. Jing Li, Prof. Tao Yang and Dr. Chao Yao. Before that, I received my Bachelor Degree in telecommunications from the School of Information Engineering, Chang’an University in 2014. My current research interests include computer vision and machine learning.

News

Codes and datasets for TIP is available.
One paper is accepted by IEEE Transactions on Image Processing.
I start working as a postdoctoral fellow at Sun-Yat-Sen University.
I obtain my Ph.D degree from Xidian University.
I am invited to give a talk at The Second Session of Telecommunication Bridge.
I obtain the National Scholarship for PhD Students (30,000 RMB).
I am invited to give a talk at a Postgraduate Symposium.
Codes for TCSVT is available.
One paper is accepted by IEEE Transactions on Circuits and Systems for Video Technology.
Codes for SPL is available.
One paper is accepted by IEEE Signal Processing Letters.
Codes and datasets for Complexity is available.
One paper is accepted by Complexity.
One paper is accepted by Journal of Xi’an Jiaotong University.
One paper is accepted by Journal of Xi’an Jiaotong University.
One paper is accepted by Chinese Conference on Biometric Recognition.

Research interests

Video Analysis and Understanding, Human Action Recognition
Multi-modal/Cross-domain Representation Learning,Transfer Learning
Deep Learning, Attention modeling, Knowledge Distillation
Cognitive Reasoning, Knowledge Graph Embedding, Graph Neural Networks
Communication Systems Design in Intelligent Transportation

Selected Publications

Cross-domain Human Action Recognition via Transfer Learning, 2019. [pdf][Defense Talk]
Yang Liu
PhD thesis, Xidian University, June 30, 2019.
Committee: Zhaoyang Lu, Jing Li, Quanxue Gao, Peiyi Shen, Guizhong Liu, Chun Qi.

Deep Image-to-Video Adaptation and Fusion Networks for Action Recognition [pdf][codes]
Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang, Chao Yao.
IEEE Transactions on Image Processing, accepted. (JCR rank1, IF:6.790)
(A Novel Cross-modal Adaptation Framework that utilize image features to improve the performance of video action recognition.)

Hierarchically Learned View-Invariant Representations for Cross View Action Recognition [pdf][codes]
Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang.
IEEE Transactions on Circuits and Systems for Video Technology, 2019. (JCR rank1, IF:4.046)
(A Novel Cross-view Action Recognition Framework for learning view-invariant representations.)

Global Temporal Representation based CNNs for Infrared Action Recognition [pdf][codes]
Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang, Chao Yao.
IEEE Signal Processing Letters, 2018. (JCR rank2, IF:3.268)
(A novel Optical-flow stacked difference image is proposed to capture global temporal information for infrared action recognition.)

Transferable Feature Representation for Visible-to-Infrared Cross-Dataset Human Action Recognition [pdf][codes]
Yang Liu, Zhaoyang Lu, Jing Li, Chao Yao, Yanzi Deng.
Complexity, 2018. (JCR rank1, IF:4.621)
(The first work that uilize visible light videos as an aid to improve the infrared action recognition performance. And a visible light action dataset XD145 is built.)

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.
(My first academic paper, which uses simple multi-feature fusion method to address cross-domain face sketch recognition problem.)

Other Publications

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.

Patents (in 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
[2] 卢朝阳，许琼，李静，邓顺，刘阳. “ 车辆监控系统的统计报表生成方法”. 国家发明专利CN106682232A

Academic services

Reviewer for
IEEE Transactions on Cybernetics
IEEE Transactions on Circuits and Systems for Video Technology
International Conference on Computer Science and Application Engineering
Control and Decision

Selected honors & awards

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