portrait

Dr. Ming Yang

Ming Yang is a CTO with CVTE (002841.SZ), where he also serves as a Director of CVTE Research. His team is focusing on the research, development, and innovation of perception AI (vision, speech, haptics, etc.), with a broad range of applications in smart manufacturing, future education, and corporate services.

Prior to joining CVTE, Ming received a B.E. (2009) and a Ph.D. (2014, advised by Prof. Hongyang Chao) in Computer Science from Sun Yat-sen University. He has spent time at Microsoft Research Asia (2010 ~ 2012, advised by Jian Sun who lead the Visual Computing Group).

Towards Accurate Facial Motion Retargeting with Identity-consistent and Expression-exclusive Constraints

Towards Accurate Facial Motion Retargeting with Identity-consistent and Expression-exclusive Constraints.

Langyuan Mo, Haokun Li, Chaoyang Zou, Yubing Zhang, Ming Yang, Yihong Yang, Mingkui Tan.

AAAI Conference on Artificial Intelligence, 2022.

Deep View Synthesis via Self-Consistent Generative Network

Deep View Synthesis via Self-Consistent Generative Network.

Zhuoman Liu, Wei Jia, Ming Yang, Peiyao Luo, Yong Guo, Mingkui Tan.

IEEE Transactions on Multimedia, 2021.

Project Deepo
REAL2: An end-to-end memory-augmented solver for math word problems

REAL2: An end-to-end memory-augmented solver for math word problems.

Shifeng Huang, Jiawei Wang, Jiao Xu, Da Cao, Ming Yang.

NeurIPS Workshop on Math AI for Education, 2021.

Project Auto-Bookkeeping

Auto-Bookkeeping: automate personal bookkeeping with machine learning.

Creator: Ming Yang.

GitHub Private Repository.

Deep Reinforcement Active Learning for Medical Image Classification

Deep Reinforcement Active Learning for Medical Image Classification.

Jingwen Wang, Yuguang Yan, Yubing Zhang, Guiping Cao, Ming Yang, Michael Kwok-Po Ng.

Medical Image Computing and Computer Assisted Interventions, 2020.

Project Imbalanced Dataset Sampler
Probabilistic Latent Factor Model for Collaborative Filtering with Bayesian Inference

Probabilistic Latent Factor Model for Collaborative Filtering with Bayesian Inference.

Jiansheng Fang, Xiaoqing Zhang, Yan Hu, Yanwu Xu, Ming Yang, Jiang Liu.

International Conference on Pattern Recognition, 2020.

Project Recursive Bilateral Filtering
A Weighted Graph Attention Network Based Method for Multi-label Classification of Electrocardiogram Abnormalities

A Weighted Graph Attention Network Based Method for Multi-label Classification of Electrocardiogram Abnormalities.

Hongmei Wang, Wei Zhao, Zhenqi Li, Dongya Jia, Cong Yan, Jing Hu, Jiansheng Fang, Ming Yang.

IEEE Engineering in Medicine and Biology Society, 2020.

An Efficient Lens Structures Segmentation Method on AS-OCT Images

An Efficient Lens Structures Segmentation Method on AS-OCT Images.

Guiping Cao, Wei Zhao, Risa Higashita, Jiang Liu, Wan Chen, Jin Yuan, Yubing Zhang, Ming Yang.

IEEE Engineering in Medicine and Biology Society, 2020.

Deep Multi-instance Networks for Bundle Branch Block Detection from Multi-lead ECG

Deep Multi-instance Networks for Bundle Branch Block Detection from Multi-lead ECG.

Jing Hu, Wei Zhao, Dongya Jia, Cong Yan, Hongmei Wang, Zhenqi Li, Jiansheng Fang, Ming Yang.

IEEE Engineering in Medicine and Biology Society, 2020.

MOC: Measuring the Originality of Courseware in Online Education Systems

MOC: Measuring the Originality of Courseware in Online Education Systems.

Jiawei Wang, Jiansheng Fang, Jiao Xu, Shifeng Huang, Da Cao, Ming Yang.

ACM International Conference on Multimedia, 2019.

Project Wavelet Rasterization
Attention Guided Network for Retinal Image Segmentation

Attention Guided Network for Retinal Image Segmentation.

Shihao Zhang, Huazhu Fu, Yuguang Yan, Yubing Zhang, Qingyao Wu, Ming Yang, Mingkui Tan, Yanwu Xu.

Medical Image Computing and Computer Assisted Interventions, 2019.

PM-NET: Pyramid Multi-Label Network for Optic Disc and Cup Segmentation

PM-NET: Pyramid Multi-Label Network for Optic Disc and Cup Segmentation.

Pengshuai Yin, Qingyao Wu, Yanwu Xu, Huaqing Min, Ming Yang, Yubing Zhang, Mingkui Tan.

Medical Image Computing and Computer Assisted Interventions, 2019.

Instance-level Human Parsing via Part Grouping Network (Oral)

Instance-level Human Parsing via Part Grouping Network (Oral).

Ke Gong, Xiaodan Liang, Yicheng Li, Yimin Chen, Ming Yang, Liang Lin.

European Conference on Computer Vision, 2018.

Image Blind Denoising With Generative Adversarial Network Based Noise Modeling

Image Blind Denoising With Generative Adversarial Network Based Noise Modeling.

Jingwen Chen, Jiawei Chen, Hongyang Chao, Ming Yang.

IEEE Conference on Computer Vision and Pattern Recognition, 2018.

Effective Clipart Image Vectorization Through Direct Optimization of Bezigons

Effective Clipart Image Vectorization Through Direct Optimization of Bezigons.

Ming Yang, Hongyang Chao, Chi Zhang, Jun Guo, Lu Yuan, Jian Sun.

IEEE Transactions on Visualization and Computer Graphics, 2015.

ECISER: Efficient Clip-art Image SEgmentation by Re-rasterization

ECISER: Efficient Clip-art Image SEgmentation by Re-rasterization.

Ming Yang, Hongyang Chao.

Computer-Aided Design, 2015.

A Rapid Abnormal Event Detection Method for Surveillance Video Based on a Novel Feature in Compressed Domain of HEVC

A Rapid Abnormal Event Detection Method for Surveillance Video Based on a Novel Feature in Compressed Domain of HEVC.

Huang Li, Yihao Zhang, Ming Yang, Yangyang Men, Hongyang Chao.

IEEE International Conference on Multimedia and Expo, 2014.

Semantics-driven Portrait Cartoon Stylization (Oral)

Semantics-driven Portrait Cartoon Stylization (Oral).

Ming Yang, Shu Lin, Liang Lin, Kun Zeng, Hongyang Chao.

IEEE International Conference on Image Processing, 2010.