"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! Three papers accepted in NeurIPS 2023 with one Spotlight.
News! One paper accepted as Oral in ICCV 2023.
News! One paper accepted in ICML 2023.
News! One paper accepted as Spotlight in NeurIPS 2022.
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.
About Me
I’m Chi Zhang (张驰). I recently joined 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)
CV / Email / GitHub
Publications
-
Active Reasoning in an Open-World Environment
Manjie Xu, Guangyuan Jiang, Wei Liang, Chi Zhang,
Yixin Zhu
NeurIPS 2023
-
Evaluating and Inducing Personality in Pre-trained Language Models
Guangyuan Jiang
*, Manjie
Xu
*, Song-Chun Zhu, Wenjuan Han,
Chi Zhang,
Yixin Zhu
NeurIPS 2023
Spotlight
-
Interactive Visual Reasoning under Uncertainty
Manjie Xu
*, Guangyuan
Jiang
*, Wei Liang,
Chi
Zhang,
Yixin Zhu
NeurIPS 2023 Datasets and Benchmarks
-
X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events
Bo Dai, Linge Wang, Baoxiong Jia, Zeyu Zhang, Song-Chun Zhu, Chi Zhang,
Yixin Zhu
ICCV 2023
Oral
-
MEWL: Few-shot multimodal word learning with referential uncertainty
Guangyuan Jiang, Xanjie Xu, Shiji Xin, Wei Liang, Yujia Peng, Chi Zhang,
Yixin Zhu
ICML 2023
-
On the Learning Mechanisms in Physical Reasoning
Shiqian Li
*, Kewen Wu
*,
Chi Zhang,
Yixin Zhu
NeurIPS 2022
Spotlight
-
Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning
Chi Zhang*, Sirui Xie
*, Baoxiong Jia
*, Ying Nian Wu, Song-Chun Zhu, Yixin Zhu
ECCV 2022
-
DETR++: Taming Your Multi-Scale Detection Transformer
Chi Zhang, Lijuan Liu, Xiaoxue Zang, Frederick Liu, Hao Zhang, Xinying
Song, Jindong Chen
T4V: Transformers for Vision @ CVPR 2022.
-
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 | 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