2019.10 ~ present, School of Computer and Communication, University of Science and Technology Beijing, professor, doctoral tutor

2001.8 ~ 2019.9 Department of Electronic Engineering, Tsinghua University, associate professor, doctoral tutor

2011.3 ~ 2011.9 University of Pittsburgh, visiting scholar

1. Xiang Wang, Huimin Ma, Shaodi You, Xi Li, Deep Clustering for Weakly-Supervised Semantic Segmentation in Complex Object-Clustered Scenes, NueroComputing, 2019.11

2. Xi Li, Huimin Ma*, Weaklier Supervised Semantic Segmentation with, Only One Image Level Annotation per Category, IEEE Transactions on Image Processing (TIP), 2019.7

3. Peng Zhou, Likan Zhan, Huimin Ma, Understanding others’ minds: Social inference in preschool children with autism spectrum disorder, Journal of Autism and Developmental Disorders, 2019.8

4. Yidong Wang, Huimin Ma, Xiang Wang, Essential Element-Region driven Model in Image Recognition, NueroComputing, 2019.4

5. Jinghuan Wen · Huimin Ma∗ · Xiong Luo, Deep Generative Smoke Simulator: Connecting Simulated and Real Data, The Visual Computer, 2019.7

6. Xiaozhi Chen, Kaustav Kundu, Yukun Zhu, Andrew Berneshawi, Huimin Ma, Sanja Fidler and Raquel Urtasun, 3D Object Proposals using Stereo Imagery for Accurate Object Class Detection, IEEE Transactions on Pattern Analysis & Machine Intelligence (TPAMI), 2017.5

7. Xiang Wang, Shaodi You, Xi Li, Huimin Ma, Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features, IEEE Conference on Computer Vision and Pattern Recognition (CVPR2018), Salt Lake City, USA 2018.6.18-22

8. Zhichen Zhao, Huimin Ma, Shaodi You, Single Image Action Recognition using Semantic Part Actions, International Conference on Computer Vision (ICCV2017), 2017.10.22-29, Venics, Italy

9. Xiaozhi Chen, Huimin Ma, Ji Wan, Bo li, Tian Xia, Multi-View 3D Object Detection Network for Autonomous Driving, IEEE Conference on Computer Vision and Pattern Recognition(CVPR2017), Jun., 2017, Honolulu, USA

10. Xiaozhi Chen, Kaustav Kundu, Huimin Ma, Sanja Fidler, Raquel Urtasun, Monocular 3D Object Detection for Autonomous Driving, IEEE Conference on Computer Vision and Pattern Recognition (CVPR2016),, Jun. 26-30, 2016, Las vegas, USA

Vertical projects:

1. Brain-inspired intelligence-brain dynamic cognitive neural mechanism: visual behavior cognition, special major project

2. Zero, small sample learning-incomplete target recognition based on cognitive psychology, special project

3. Research and development of automatic driving monitoring system based on human-vehicle-environment collaborative understanding, Beijing Science and Technology Commission project

Machine vision-based environmental target detection and identification and driving status monitoring, evaluation and intention identification, sub-projects of the National Key R&D Program

Horizontal projects:

1. Three-dimensional target recognition technology, Tongfang Vision

2. High dynamic complex environment simulation research, China Shipbuilding Industry Corporation 710

In 2017 won the second prize of the Ministry of Education Technology Invention Award

Won the first prize of Wu Wenjun artificial intelligence technology innovation in 2016

Since 2015, he has won the first place in the evaluation of the world's largest automatic driving data set (KITTI) for many times.

In 2010, won the Beijing March 8 Red Flag Medal

8 approved patents

The mental state evaluation method and system based on image cognition has been appraised by the Ministry of Education as "primitive innovation, reaching international leading level"

GPU-based simulation method for high-performance and complex environment, which was recognized by the Ministry of Education as "the overall technology reaches the international advanced level"