Quanshi Zhang

Postdoctoral Researcher


Affiliate Appt:


Email: zhangqs@ucla.edu

Office: 9406 Boelter Hall

Explainable AI group

   
      


Biography

Currently, I am a postdoctoral researcher at the University of California, Los Angeles, under the supervision of Song-Chun Zhu. Before that, I received the B.S. degree in machine intelligence at the Peking University, China, in 2009, and obtained the M.Eng. degree and the Ph.D. degree at University of Tokyo, in 2011 and 2014, respectively.
(Curriculum Vita)

Now, I am leading a group for explainable AI.


Research Interests

My research interests range across computer vision, machine learning, robotics, and data mining. I have published top-tier journal and conference papers in these four fields, which include topics of deep learning, graph theory, unsupervised learning, object detection, 3D reconstruction, 3D point cloud processing, knowledge mining, and etc.


Now, I am leading a group for explainable AI. The related topics include explainable CNNs, explainable generative networks, unsupervised semanticization of pre-trained neural networks, and unsupervised/weakly-supervised learning of neural networks. I aim to end-to-end learn interpretable models and/or unsupervisedly transform the black-box knowledge representation of pre-trained neural networks into a hierarchical and semantically interpretable model. Meanwhile, I also expect strong interpretability can ensure high transferability of features and help unsupervised/weakly-supervised learning from small data.



Professional Activities

Workshop Co-organizer:
Workshop on Language and Vision at CVPR 2017

Journal Reviewer:
Journal of Machine Learning Research
IEEE Transactions on Knowledge and Data Engineering
IEEE Signal Processing Letters
IEEE Robotics and Automation Letters

Neurocomputing


Conference Reviewer:
International Conference on Computer Vision (ICCV
2015, 2017)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017, 2016)
European Conference on Computer Vision (ECCV 2016)
Conference on Neural Information Processing Systems (NIPS 2016)
International Joint Conference on Artificial Intelligence (IJCAI 2016)
International Conference on Robotics and Automation (ICRA 2017, 2016, 2015, 2014)
Asian Conference on Computer Vision (ACCV 2016)
British Machine Vision Conference (BMVC 2016)

Ph.D Admission Review

CS Department, UCLA, 2016

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