About Me

Hi, I'm Chi Zhang (张驰).

"The study of vision must therefore include not only the study of how to extract from images the various aspects of the world that are useful to us, but also an inquiry into the nature of the internal reprensentations by which we capture this information and thus make it available as a basis for decisions about our thoughts and actions." ‐ David Marr

News! Two papers accepted in CVPR 2021.

News! One paper accpeted in ICRA 2021.

News! Our position paper featured in Engineering.

News! One paper accepted as Oral in AAAI 2020.

News! One paper accepted as Spotlight in NeurIPS 2019.

News! One paper accepted in IROS 2019.

News! One paper accepted in CVPR 2019.

News! Two papers accepted in AAAI 2019.

About Me

I’m Chi Zhang (张驰)– a Ph.D. candidate of Department of Computer Science, University of California - Los Angeles. I’m a graduate student researcher at Center for Vision, Cognition, Learning and Autonomy (VCLA), advised by Professor Song-Chun Zhu.

My reseach interests include but are not limited to

  • Computer Vision: Visual Reasoning, Abstract Reasoning
  • Machine Learning: Neuro-Symbolic Methods, Concept Learning, Reinforcement Learning

I used to work with Professor Dit-Yan Yeung at Hong Kong University of Science and Technology and Professor Deng Cai at my alma mater, Zhejiang University.

I serve/served as

  • Conference reviewer: CVPR 2019, ICCV 2019, AAAI 2020, CVPR 2020, ECCV 2020, NeurIPS 2020, AAAI 2021, ICLR 2021, CVPR 2021, ICCV 2021, ICML 2021
  • Journal reviewer: IEEE Transactions on Image Processing (TIP)

CV / Email / GitHub

Publications

  • Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning
    Chi Zhang*, Sirui Xie*, Baoxiong Jia*, Ying Nian Wu, Song-Chun Zhu, Yixin Zhu
    arXiv preprint

  • ACRE: Abstract Causal REasoning Beyond Covariation
    Chi Zhang, Baoxiong Jia, Mark Edmonds, Song-Chun Zhu, Yixin Zhu
    CVPR 2021

  • Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution
    Chi Zhang*, Baoxiong Jia*, Song-Chun Zhu, Yixin Zhu
    CVPR 2021

  • Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance
    Xu Xie, Chi Zhang, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu
    ICRA 2021

  • Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense
    Yixin Zhu, Tao Gao, Lifeng Fan, Siyuan Huang, Mark Edmonds, Hangxin Liu, Feng Gao, Chi Zhang, Siyuan Qi, Ying Nian Wu, Joshua B. Tenenbaum, Song-Chun Zhu
    Engineering, Volume 6, Issue 3

  • Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning
    Wenhe Zhang, Chi Zhang, Yixin Zhu, Song-Chun Zhu
    AAAI 2020
    Oral

  • Learning Perceptual Inference by Contrasting
    Chi Zhang*, Baoxiong Jia*, Feng Gao, Yixin Zhu, Hongjing Lu, Song-Chun Zhu
    NeurIPS 2019
    Spotlight (2.43% acceptance rate)

  • Learning Virtual Grasp with Failed Demonstrations via Bayesian Inverse Reinforcement Learning
    Xu Xie*, Changyang Li*, Chi Zhang, Yixin Zhu, Song-Chun Zhu
    IROS 2019

  • RAVEN: A Dataset for Relational and Analogical Visual rEasoNing
    Chi Zhang*, Feng Gao*, Baoxiong Jia, Yixin Zhu, Song-Chun Zhu
    CVPR 2019

  • MetaStyle: Three-Way Trade-Off Among Speed, Flexibility, and Quality in Neural Style Transfer
    Chi Zhang, Yixin Zhu, Song-Chun Zhu
    AAAI 2019

  • Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions
    Hangxin Liu, Chi Zhang, Yixin Zhu, Chenfanfu Jiang, Song-Chun Zhu
    AAAI 2019

  • Learning Unmanned Aerial Vehicle Control for Autonomous Target Following
    Siyi Li, Tianbo Liu, Chi Zhang, Dit-Yan Yeung, Shaojie Shen
    IJCAI 2018

  • Question Retrieval for Community-based Question Answering via Heterogeneous Social Influential Network
    Zheqian Chen, Chi Zhang, Zhou Zhao, Chengwei Yao, Deng Cai
    Neurocomputing, Volume 285

  • A Method of Exact 3D Modeling Based on Natural Gestures via Data Gloves (in Chinese)
    Xiangdong Li, Sihong Lv, Yikun Wang, Xiaowo Sun, Chi Zhang
    Patent publication number: CN104778746 B

Education

  • Ph.D. in Computer Science

    09.2017 - Summer 2022 (expected) | Los Angeles, California, USA

    University of California, Los Angeles
  • Master of Science in Computer Science

    09.2017 - 03.2019 | Los Angeles, California, USA

    University of California, Los Angeles
  • Bachelor of Engineering in Computer Science

    09.2013 - 06.2017 | Hangzhou, Zhejiang, China

    Zhejiang University

Experience

  • Machine Learning Engineer

    Autonomous driving
    04.2017 - 06.2017 | Hangzhou, Zhejiang, China

    Didi Research Institute
  • Research Intern

    Target following with drones
    09.2016 - 03.2017 | Clear Water Bay, Kowloon, Hong Kong

    Hong Kong University of Science and Technology
  • Research Assistant

    Automatic number plate detection
    03.2015 - 06.2016 | Hangzhou, Zhejiang, China

    State Key Lab of CAD & CG, Zhejiang University

Projects

  • MXNet

    09.2016 - 04.2017

  • Automatic Number Plate Detection

    03.2015 - 06.2016