Zibo Meng
Ph.D
mengz[at]email[dot]sc[dot]edu
Computer Science and Engineering
University of South Carolina
301 Main Street Room 3D19, Columbia, SC United States
Curriculum Vitae


What's New
  • I will be joining OPPO as a deep learning scientist in May, 2018
  • One paper accepted by CVPR-AMFG'18
  • One paper accepted by CVPR'18
  • One paper accepted by FG'18
Short Bio
Zibo Meng is currently a fourth year Ph.D student in the department of Computer Science and Engineering, at University of South Carolina. He works as a research assistant under the supervision of Dr. Yan Tong. Prior to joining USC, he worked as a research assistant at Zhejiang University with Prof. Bo Yuan.
Research Interests
Zibo Meng's research interests are on computer vision, pattern recognition, and machine learning. His major focuses are:
  • Facial Activity Analysis
  • Probabilistic Graphical Models and their applications in computer vision
  • Deep Learning and their applications in computer vision
Publications
  1. Jia Xue*, Zibo Meng*, Karthik Katipally, Haibo Wang, Kees van Zon, “Clothing Change Aware Person Identification”, accepted to Workshop at the IEEE Conference on Computer Vision and Pattern Recognition, 2018 (* means equal contribution).
  2. Jie Cai*, Zibo Meng*, Ahmed Shehab Khan, Zhiyuan Li, James O’Reilly, and Yan Tong, “Island Loss for Learning Discriminative Features in Facial Expression Recognition”, Inter national Conference on Automatic Face and Gesture Recognition (FG), 2018 (* means equal contribution).
  3. Shizhong Han, Zibo Meng, Zhiyuan Li, James OReilly, Jie Cai, Xiaofeng Wang, and Yan Tong, “Optimizing Filter Size in Convolutional Neural Networks for Facial Action Unit Recog nition”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
  4. Zibo Meng, Shizhong Han, Ping Liu, and Yan Tong, "Improving Speech Related Facial Action Unit Recognition by Audiovisual Information Fusion," arXiv 2017. [PDF]
  5. Zibo Meng, Shizhong Han, and Yan Tong, "Listen to Your Face: Inferring Face Action Units from Audio Channel," IEEE Transactions on Affective Computing 2017. [PDF]
  6. Zibo Meng, Xiaochuan Fan, Xin Chen, Min Chen, and Yan Tong, "Detecting Small Signs from Large Images," International Conference on Information Reuse and Integration (IRI) 2017. [PDF]
  7. Zibo Meng*, Ping Liu*, Jie Cai, Shizhong Han, and Yan Tong, "Identity-Aware Convolutional Neural Network for Facial Expression Recognition," International Conference on Automatic Face and Gesture Recognition (FG) 2017. (* indicates equal contribution) [PDF]
  8. Shizhong Han,Zibo Meng,Ahmed Shehab Khan, and Yan Tong, "Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition," Neural Information Processing Systems (NIPS) 2016. [PDF]
  9. Zibo Meng,Shizhong Han, Min Chen, and Yan Tong, "Audiovisual Facial Action Unit Recognition using Feature Level Fusion," in International Journal of Multimedia Data Engineering and management (IJMDEM) 2016. [PDF]
  10. Zibo Meng, Shizhong Han, Min Chen, and Yan Tong, “Feature Level Fusion for Bimodal Facial Action Unit Recognition,” IEEE International Symposium on Multimedia (ISM 2015), Miami, December, 2015.
  11. Shizhong Han, Zibo Meng, Ping Liu, and Yan Tong, “Facial Grid Transformation: A Novel Face Registration Approach for Improving Facial Action Unit Recognition,” IEEE International Conference on Image Processing (ICIP14), Paris, October, 2014. [PDF]
  12. Ping Liu, Joey Tianyi Zhou, Ivor Tsang, Zibo Meng, Shizhong Han, and Yan Tong, “Feature Disentangling Machine-A Novel Approach of Feature Selection and Disentangling in Facial Expression Analysis,” European Conference on Computer Vision (ECCV14), Zurich, September, 2014. [PDF]
  13. Ping Liu, Shizhong Han, Zibo Meng, and Yan Tong, “Facial Expression Recognition via a Boosted Deep Belief Network,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR14), Columbus, June, 2014. [PDF]
Academic Services
Reviewer
  • The Thirty-First AAAI Conference on Artificial Intelligence (AAAI 2017)
  • Pattern Recognition Letters 2015, 2016
  • Neural Information Processing Systems (NIPS 2016)
  • International Conference on Pattern Recognition (ICPR 2016)
  • ICCV Workshop on Looking at People 2015
  • FG Workshop on Context Based Affect Recognition (CBAR 2015)
  • International Conference on Affective Computing and Intelligent Interaction (ACII 2015)
Program Committee
  • CVPR Workshop on Looking at People, 2015
  • ICCV Workshop on Looking at People, 2015

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