"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
About Me
I'm Chi Zhang (张驰). I recently joined ByteDance Seed after a few wonderful years at Beijing Institute for General Artificial Intelligence (BIGAI), as a full-time research scientist. Before that, I obtained my Ph.D. degree from Department of Computer Science, University of California - Los Angeles, advised by Professor Song-Chun Zhu.
My recent reseach interests include abstract reasoning, active reasoning and applied research for challenging problems.
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 as
- Conference reviewer: CVPR (from 2019), ICCV (from 2019), ECCV (from 2020), NeurIPS (from 2020), ICLR (from 2020), ICML (from 2021), AAAI (from 2020)
- Journal reviewer: IEEE Transactions on Image Processing (TIP), Psychological Review
Publications
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Proposing and solving olympiad geometry with guided tree search -
A simulation-heuristics dual-process model for intuitive physicsCogSci 2025 -
Probing and Inducing Combinational Creativity in Vision-Language ModelsCogSci 2025 -
Human-level few-shot concept induction through minimax entropy learningScience Advances -
I-PHYRE: Interactive Physical ReasoningICLR 2024 -
Active Reasoning in an Open-World EnvironmentNeurIPS 2023 -
Evaluating and Inducing Personality in Pre-trained Language ModelsNeurIPS 2023Spotlight -
Interactive Visual Reasoning under UncertaintyNeurIPS 2023 Datasets and Benchmarks -
X-VoE: Measuring eXplanatory Violation of Expectation in Physical EventsICCV 2023Oral -
MEWL: Few-shot multimodal word learning with referential uncertaintyICML 2023 -
On the Learning Mechanisms in Physical ReasoningNeurIPS 2022Spotlight -
Learning Algebraic Representation for Systematic Generalization in Abstract ReasoningECCV 2022Paper / Supp / Poster / Code / Dataset / Blog / Project / Media: Institute for AI, PKU / Media: PKU News / Media: PKU Weibo -
DETR++: Taming Your Multi-Scale Detection TransformerT4V: Transformers for Vision @ CVPR 2022. -
ACRE: Abstract Causal REasoning Beyond CovariationCVPR 2021 -
Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and ExecutionCVPR 2021 -
Congestion-aware Multi-agent Trajectory Prediction for Collision AvoidanceICRA 2021 -
Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common SenseEngineering, Volume 6, Issue 3 -
Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational ReasoningAAAI 2020Oral -
Learning Perceptual Inference by ContrastingNeurIPS 2019Spotlight (2.43% acceptance rate) -
Learning Virtual Grasp with Failed Demonstrations via Bayesian Inverse Reinforcement LearningIROS 2019 -
RAVEN: A Dataset for Relational and Analogical Visual rEasoNingCVPR 2019 -
MetaStyle: Three-Way Trade-Off Among Speed, Flexibility, and Quality in Neural Style TransferAAAI 2019 -
Mirroring without Overimitation: Learning Functionally Equivalent Manipulation ActionsAAAI 2019 -
Learning Unmanned Aerial Vehicle Control for Autonomous Target FollowingIJCAI 2018 -
Question Retrieval for Community-based Question Answering via Heterogeneous Social Influential NetworkNeurocomputing, Volume 285 -
A Method of Exact 3D Modeling Based on Natural Gestures via Data Gloves (in Chinese)Patent publication number: CN104778746 B
Education
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Ph.D. in Computer Science
09.2017 - Summer 2022 | Los Angeles, California, USA
University of California, Los Angeles
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Master of Science in Computer Science
09.2017 - 03.2019 | Los Angeles, California, USA
University of California, Los Angeles
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Bachelor of Engineering in Computer Science
09.2013 - 06.2017 | Hangzhou, Zhejiang, China
Zhejiang University
