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Haoran Zhu
I'm a postdoctoral researcher at
New York University,
working on world models with
Prof. Yann LeCun.
My ultimate vision is to build intelligent machines for the physical world. To enable
that long term vision, I'm interested in world models, self-supervised learning, and end-to-end learning.
Previously, I earned my Ph.D. from
New York University as well,
where I was advised by
Prof. Anna Choromanska and worked on deep learning for autonomous driving.
Email /
Scholar
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Github
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Zero-Shot Cross-City Generalization in End-to-End Autonomous Driving:
Self-Supervised versus Supervised Representations
Fatemeh Naeinian, Ali Hamza, Haoran Zhu, Anna Choromanska
arxiv, 2026
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AD-LiST-JEPA: Self-Supervised JEPA-based World Models for LiDAR Occupancy
Completion and
Forecasting
Haoran Zhu, Anna Choromanska
arxiv, 2026
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AD-L-JEPA: Self-Supervised Representation Learning with Joint Embedding
Predictive
Architecture for Automotive LiDAR Object Detection
Haoran Zhu, Zhenyuan Dong†, Kristi
Topollai†, Beiyao Sha†, Anna Choromanska
(† denotes equal contribution as second authors.)
AAAI, 2026
project page
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arxiv
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code
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video
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Multi-View Radar Autoencoder for Self-Supervised Automotive Radar
Representation Learning
Haoran Zhu, Haoze He, Anna Choromanska, Satish Ravindran, Binbin Shi, Lihui Chen
IV, 2024
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TAME: Task Agnostic Continual Learning using Multiple Experts
Haoran Zhu*, Maryam Majzoubi*, Arihant Jain*, Anna
Choromanska
CVPR Workshop, 2024
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ERASE-Net: Efficient segmentation networks for automotive radar
signals
Shihong Fang, Haoran Zhu, Devansh Bisla, Anna Choromanska, Satish Ravindran, Dongyin
Ren, Ryan Wu
ICRA, 2023
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