Xin Yang (杨欣)
Associate Professor
Media and Communication Lab (MC lab)
Electronics and Information Engineering Department
Huazhong University of Science and Technology

Contact
Email: xinyang2014@hust.edu.cn
Office: 1037 Luoyu Road, N1 Hall D425, HUST, Wuhan, China, 430074
 

 
 

 

Research Interests: Mobile Computer vision, mobile augmented reality (AR), medical image analysis, large-scale image retrieval

The website has been moved to https://sites.google.com/view/xinyang/home.
 

 

I am an Associate Professor in the Department of Electronics and Information Engineering at Huazhong University of Science and Technology (HUST). I received my PhD degree in the Department of Electrical and Computer Engineering at UC Santa Barbara in March 2013. I worked under the supervision of Professor Kwang-Ting (Tim) Cheng.

My research interest lies in mobile computer vision, mobile augmented reality (AR) and medical image analysis. My earlier work designed computer vision and AR algorithms which can run in real-time on low power mobile devices, such as smartphones. More specifically, I focus on: 1) designing new light-weight and robust algorithms, 2) adapting existing algorithms to mobile CPU and/or GPU, for fundamental computer vision components, such as feature extraction, recognition and tracking, etc, 3) using mobile hetegeneous parallel computing , and 4) fusing multi-model sensor data (e.g. accelerometer, gyroscope and magnetometer). In the area of medical image analysis, I am especially interested in image segmentation and registration.  


My current projects include:
1. Medical Image Analysis (collaborated with HKUST, Beijing Tiantan Hospital)
2. Monocular Simutanous Localization and Mapping and Augmented Reality (collaborated with Shanghai HISCENE)
3. 3D Facial Landmark Detection (collaborated with HKUST and Naver)



Previous projects:
1. High quality and ultrafast feature desgin for mobile augmented reality
2. Accelerating SURF detector on mobile devices
3. Mobile image retrieval
4. Fusing multi-model sensor data for mobile object tracking (collaborated with Prof. Cheng and Prof. Huan, UCSB)
5. Automated comparison of 3D CTA Images (collaborated with Prof. Chien, UCLA Medical School)
6. Functional analysis in MR Urography images (collaborated withProf. Sung, UCLA Medical School)


Teaching:
[2018 Fall] Data Structure
[2018 Fall]  Image Analysis and Understanding
[2017 Fall]  Programming Language C
[2017 Winter]  Image Analysis and Understanding
[2016 Fall]  Programming Language C
[2016 Winter]  Image Analysis and Understanding
[2015 Summer]Mobile Embedded System: Platforms, Software and Applications
[2015 Fall] Image Analysis and Understanding
 

 
 
Graduate Students
Zhiwei Wang
Tangli Xue
Chaoyue Liu
Hongcheng Luo
Yuhao Wu
Yang Gao

Jingyu Chen
Yi Lin
Pengchao Li
Zikang Yuan
Jianchao Su
Qiaozhe Zhang

Mei Wu
Kun Li
Zixuan Dong
Chenjing Lei



Alumni
Hung Le Minh
Xun Si
Jiabin Guo
Yang Zhou
Yangguang Liu




 

 

Info for Graduate Students
How to do research? from Bill Freeman, CSAIL, MIT, March 6, 2013
How to succeed in graduate school? from Matthew Turk, Computer Science, UCSB
Someguidelines for giving good presentations? from Matthew Turk, Computer Science, UCSB
Thoughts on getting a PhD? from Matthew Turk, Computer Science, UCSB

Selected Publications
Year 2018
Accurate FaceAlignment and Adaptive Patch Selection for Heart Rate Estimation from Video under Realistic Scenarios
Wang Z. W., Yang X.*, Cheng K.-T.
PLOS ONE, (PLOS ONE) 2018
Impact factor: 2.805
A Joint Space-angle Regularization Approach for Single 4D Diffusion Image Super-resolution
Yin S. You X. G.*, Yang X., Peng Q. M., Zhu Z. Q., Jing X. Y.
Magnetic Resonance in Medicine, (MRM) 2018
Impact factor: 3.942
 
Joint Segment-level and Pixel-wise Losses for Deep Learning based Retinal Vessel Segmentation
Yan Z. Q., Yang X.*, Cheng K.-T.
IEEE Trans. on Biomedical Engineering, (TBME) 2018
Impact factor: 3.577
 
An Autonomous Drone Cinematography System for Action Scenes
Huang C., Gao F., Yang Z. Y., Qiu W. H., Kong Y., Chen P., Yang X., Shen S. J., Cheng K. T
International Conference on Robotics and Automation(ICRA), 2018
A Deep Model with Shape-preserving Loss for Gland Instance Segmentation 
Yan Z. Q., Yang X., Cheng K.-T.
International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2018

Year 2017
Automated Detection of Clinically Significant Prostate Cancer in mp-MRI Images based on an End-to-End Deep Neural Network
Wang Z. W., Liu C. Y., Wang L., Yang X.*, Cheng K.-T.
IEEE Trans. on Medical Imaging, (TMI) 2017
Impact factor: 3.942
A Skeletal Similarity Metric for Quality Evaluation of Retinal Vessel Segmentation
Yan Z. Q., Yang X.*, Cheng K.-T.
IEEE Trans. on Medical Imaging, (TMI) 2017
Impact factor: 3.942
 
Co-trained Convolutional Neural Networks for Automated Detection of Prostate Cancer in Multi-parametric MRI
Yang X., Liu C. Y., Wang Z. W.*, Yang J., Le M. H., Wang L., Cheng K. –T.
Medical Image Analysis, (MIA) 2017
Impact factor: 4.188
 
Automated Diagnosis of Prostate Cancer in Multi-parametric MRI based on Multimodal Convolutional Neural Networks
Le M. H., Chen J. Y., Wang L., Cheng K.-T., Yang X.*
Physics in Medicine and Biology, (PMB) 2017 
Impact factor: 2.811
 
Automated Method for Accurate Vessel Segmentation
Yang X.*, Le M. H., Liu C. Y., Chien A., Cheng K.-T.
Physics in Medicine and Biology, (PMB) 2017 
Impact factor: 2.811
 
Robust and Real-Time Pose Tracking for Augmented Reality on Mobile Devices
Yang X.*, Guo J. B., Xue T. L., Cheng K.-T.
Multimedia Tools and Applications, (MTA) 2017
Impact factor: 1.530
 
Fast and Accurate Visual Odometry from a Monocular Camera
Yang X*, Xue T. L., Luo H. C., Guo J. B.
Frontiers in Computer Science, (FCS) 2017
Impact factor: 1.039
 
Real-Time Monocular Dense Mapping for Augmented Reality
Xue T. L., Luo H. C., Cheng D. P., Yuan Z. K., Yang X.*
ACM Multimedia(MM, Oral, acceptance rate: 7.5%), 2017
 
Real-Time Dense Monocular SLAM for Augmented Reality 
Luo H. C., Xue T. L., Yang X.*
ACM Multimedia(MM, Demo), 2017
 
DeepCADx: Automated Prostate Cancer Detection and Diagnosis in mp-MRI based on Multimodal Convolutional Neural Networks
Wang, Z. W., Liu C. Y., Bai X., Yang X.*
ACM Multimedia(MM, Demo), 2017
 
Joint Detection and Diagnosis of Prostate Cancer in Multi-parametric MRI based on Multimodal Convolutional Neural Networks
Yang X*, Wang Z.W., Liu C. Y., Le M.H., Chen J. Y., Wang L., Cheng K. -T.
International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2017
REDBEE: A Visual-Inertial Drone System for Real-Time Moving Object Detection
Huang C., Chen P., Yang X., Cheng, K.-T.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017.

Year 2016

Renal Compartment Segmentation in DCE-MRI Images
Xin Yang, Hung Le Minh, Chaoyu Liu, Tim Cheng, Kyung Hyun Sung, Wenyu Liu
Medical Image Analysis, (MIA) 2016
Impact factor: 4.188

Year 2015
Accurate and Efficient Pulse Measurement from Facial Videos on Smartphones
Chong Huang, Xin Yang, Tim Cheng
IEEE Winter Conference on Applications of Computer Vision(WACV), 2015

Fusion of Vision and Inertial Sensing for Accurate and Efficient Pose Tracking on Smartphones
Xin Yang, Xun Si, Tangli Xue, Liheng Zhang, Tim Cheng
International Symposium on Mixed and Augmented Reality (ISMAR), 2015

Vision-Inertial Hybrid Tracking for Robust and Efficient Augmented Reality on Smartphones
Xin Yang, Xun Si, Tangli Xue, Liheng Zhang, Tim Cheng
ACM Multimedia (MM), 2015

Automatic Segmentation of Renal Compartments in DCE-MRI Images
Xin Yang, Hung Le Minh, Tim Cheng, Kyun Sung
International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2015

Measurement of Intracranial Aneurysm Growth
Qianyi Yu, Xin Yang, Tim Cheng, F Liang, Aichi Chien
Stroke, 2015
Acceptance rate: 10%, Impact factor: 6.158

OGB: A Distinctive and Efficient Feature for Mobile Augmented Reality
Xin Yang, Xinggang Wang, Tim Cheng
International Conference on Multimedia Modeling (MMM), 2015

Location-Aware Image Classification
Xinggang Wang, Xin Yang, Wenyu Liu, Chen Duan, Longin Latecki
International Conference on Multimedia Modeling (MMM), 2015

Year 2014
Accurate Vessel Segmentation with Progressive Contrast Enhancement and Canny Refinement
Xin Yang, Tim Cheng and Aichi Chien
Aisian Conference on Computer Vision (ACCV), 2014
Acceptance rate: 27%[pdf]

libLDB: A Library for Extracting Ultrafast and Distinctive Binary Feature Description
Xin Yang, Chong Huang and Tim Cheng
ACM International Conference on Multimedia (MM), Open Source Software Competition, 2014.
Project Website

Geodesic Active Contours with Adaptive Configuration for Cerebral Vessel and Aneurysm Segmentation
Xin Yang, Tim Cheng and Aichi Chien
International Conference on Pattern Recognition(ICPR), Stockholm, Sweden, Aug 24-28, 2014.

Local Difference Binary for Ultra-fast and Distinctive Feature Description
Xin Yang and Tim Cheng
IEEE Transaction on Pattern Recognition and Machine Intelligence(TPAMI), 2014.
Impact factor: 4.795

Learning Optimized Local Difference Binary for Scalable Augmented Realtiy on Mobile Devices
Xin Yang and Tim Cheng
IEEE Transaction on Visualization and Computer Graphics (TVCG), 2014.
Impact factor: 2.215

Year 2012
LDB: An Ultra-Fast Feature for Scalable Augmened Reality on Mobile Device
Xin Yang and Tim Cheng
International Symposium on Mixed and Augmented Reality (ISMAR), Atlanta, Georgia, Novermber 5-8, 2012.
Oral presentation; Acceptance rate: 18%[pdf]
ISMAR Best Paper Nomination, 2012

Accelerating SURF Detector on Mobile Devices
Xin Yang and Tim Cheng
ACM International Conference on Multimedia (MM), Nara, Japan, October 29-31, 2012
Oral presentation; Acceptance rate: 20.2%[pdf]

 

 
 
 

 
 
copyright 2018 by Xin Yang
Last update: 3/15/2018