|
Haoran Zhu I'm a PhD candidate in the Department of Electrical and Computer Engineering at New York University, advised by Prof. Anna Choromanska. I work on deep learning for autonomous driving. My ultimate vision is to build intelligent machines for the physical world. To enable that long term vision, I'm currently focusing on autonomous driving. To unlock fully autonomous driving, my answer is building self-supervised world models for end-to-end learning. |
|
ResearchI'm interested in deep learning for autonomous driving and general deep learning algorithms. In particular, I'm focusing on world models, self-supervised representation learning, end-to-end learning, multi-modal perception (camera, LiDAR, radar) and continual learning. |
|
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 / arxiv / code / video |
|
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 |
|
TAME: Task Agnostic Continual Learning using Multiple Experts
Haoran Zhu*, Maryam Majzoubi*, Arihant Jain*, Anna Choromanska CVPR Workshop, 2024 |
|
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 |
|
Understanding Why ViT Trains Badly on Small Datasets: An Intuitive
Perspective
Haoran Zhu*, Boyuan Chen*, Carter Yang arxiv (with 60+ citations), 2023 |
Miscellanea |
Academic Service |
TNNLS 2023; ICRA 2023; IROS 2022, 2024, 2025; NeurIPS 2020 Beyond Backpropagation Workshop |
Teaching |
Guest Lecturer, NYU ECE 7143 Advanced Machine Learning, 2025 Spring, 'Introduction to Self-Supervised
Learning, JEPA and World Models'
Teaching Assistant, NYU ECE 7143 Advanced Machine Learning, 2021 Spring Teaching Assistant, NYU ECE 6143 Machine Learning, 2020 Fall Machine Learning Instructor for NYU ARISE K12 STEM Education, 2021 Fall |
|
Design and source code from Jon Barron's website |