"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! One paper accepted in ECCV 2022.
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.
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
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
EST: Evaluating Scientific Thinking in Artificial Agents
MPI: Evaluating and Inducing Personality in Pre-trained Language Models
Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning
DETR++: Taming Your Multi-Scale Detection Transformer
T4V: Transformers for Vision @ CVPR 2022.
ACRE: Abstract Causal REasoning Beyond Covariation
Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution
Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance
Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense
Engineering, Volume 6, Issue 3
Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational
Learning Perceptual Inference by Contrasting
Spotlight (2.43% acceptance rate)
Learning Virtual Grasp with Failed Demonstrations via Bayesian Inverse Reinforcement Learning
RAVEN: A Dataset for Relational and Analogical Visual
MetaStyle: Three-Way Trade-Off Among Speed, Flexibility, and Quality in Neural Style Transfer
Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions
Learning Unmanned Aerial Vehicle Control for Autonomous Target Following
Question Retrieval for Community-based Question Answering via Heterogeneous Social
Neurocomputing, Volume 285
A Method of Exact 3D Modeling Based on Natural Gestures via Data Gloves (in Chinese)
Patent publication number: CN104778746 B
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
Machine Learning Engineer
04.2017 - 06.2017 | Hangzhou, Zhejiang, China
Didi Research Institute
Target following with drones
09.2016 - 03.2017 | Clear Water Bay, Kowloon, Hong Kong
Hong Kong University of Science and Technology
Automatic number plate detection
03.2015 - 06.2016 | Hangzhou, Zhejiang, China
State Key Lab of CAD & CG, Zhejiang University
09.2016 - 04.2017
Automatic Number Plate Detection
03.2015 - 06.2016