Xiaojiang Peng

Associate Professor, College of Big Data and Internet, Shenzhen Technology University.








广东省深圳市坪山区兰田路3002号 pengxiaojiang@sztu.edu.cn / xiaojiangp@gmail.com

About Me

Xiaojiang Peng is an associate professor at the College of Big Data and Internet, Shenzhen Technology University. He received his Ph.D. degrees from Southwest Jiaotong University. He was an associate professor at Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences from 9/10/2017 to 31/10/2020. He was a postdoctoral researcher at Idiap, Switzerland from 1/7/2016 to 30/9/2017 where he worked with Prof. Francois Fleuret. He was a postdoctoral researcher at Inria LEAR/THOTH, France from 1/3/2015 to 30/6/2016 where he worked with Cordelia Schmid. He has published more than 60 top journal/conference papers (e.g., TIP, CVPR, ICCV, ECCV, IJCAI, AAAI). His research interests include computer vision, pattern recognition, and deep learning.


  1. Special Issue "New Trends in Computer Vision, Deep Learning and Artificial Intelligence" is opened in Mathematics.
  2. One paper on cross-domain facial expression recognition is accepted by Applied Sciences. 2022/05/02
  3. One paper on training large-scale face recognition data is accepted by CVPR. 2022/03/08
  4. One paper on person re-identification is accepted by Pattern Recognition. 2022/01/17
  5. One paper on context emotion recognition is accepted by IJCB2021. 2021/07/01
  6. Two papers on human-object-interaction are accepted by CVPR2021. 2021/03/22
  7. One paper on action anticipation is accepted by Neurocomputing. 2021/01/25
  8. Three papers are accepted by ECCV 2020, topics include noisy supervised learning、multi-label classification、HOI recognition. 2020/07/03
  9. One paper on Product Image Classification with Noisy labels is accepted by CVIU 2020. 2020/04/02
  10. One paper on Large-scale Facial Expression Recognition is accepted by CVPR 2020. 2020/02/4


  1. 2019年广东省科学进步奖技术发明一等奖, 5/7
  2. 2019年中国人工智能协会吴文俊人工智能科技进步奖二等奖, 4/6
  3. 2019年深圳市科技进步奖二等奖, 4/6
  4. 深圳市孔雀人才C、南山领航人才

Professional Activity


PC: CVPR (2019-), ECCV (2018-), ICCV (2019-), AAAI (2019-), IJCAI (2018-)

SPC:IJCAI (2021)

Bachelor/master Courses

  1. Deep learning and applications for UG students
  2. Java Programming, Python Programming, Computer Vision for UG students
  3. Neural Networks and Deep Learning, for PG students