Jihan Yang
Member of Technical Staff @ AMI Labs |
|
Biography
I am a founding scientist at AMI Labs. Before that, I was a postdoctoral fellow at NYU Courant, working with Prof. Saining Xie. I received my Ph.D degree from The University of Hong Kong, advised by Prof. Xiaojuan Qi. Prior to that, I obtained my Bachelor's degree from Sun Yat-sen University.
My research interests lie in machine learning and computer vision, focusing on world modeling and multimodal learning.
Selected Projects [Google Scholar]
*: Equal Contribution
Cambrian-S: Towards Spatial Supersensing in Video
Shusheng Yang*, Jihan Yang*, Pinzhi Huang†, Ellis Brown†, Zihao Yang, Yue Yu, Shengbang Tong, Zihan Zheng, Yifan Xu, Muhan Wang, Daohan Lu, Rob Fergus, Yann LeCun, Li Fei-Fei, Saining Xie
International Conference on Learning Representations (ICLR), 2026
[PDF]
[BLOG]
[CODE]
Benchmark Designers Should “Train on the Test Set” to Expose Exploitable Non-Visual Shortcuts
Ellis Brown, Jihan Yang, Shusheng Yang, Rob Fergus, Saining Xie
arXiv preprint arXiv:2511.04655, 2025
[PDF]
[BLOG]
[CODE]
UniTok: A Unified Tokenizer for Visual Generation and Understanding
Chuofan Ma, Yi Jiang, Junfeng Wu, Jihan Yang, Xin Yu, Zehuan Yuan, Bingyue Peng, Xiaojuan Qi
Advances in Neural Information Processing Systems (NeurIPS) 2025.
[Spotlight]
[PDF]
[BLOG]
[CODE]
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Tianzhe Chu*, Yuexiang Zhai*, Jihan Yang, Shengbang Tong, Saining Xie, Dale Schuurmans, Quoc V. Le, Sergey Levine, Yi Ma
International Conference on Machine Learning (ICML), 2025
[PDF]
[BLOG]
[CODE]
Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces
Jihan Yang*, Shusheng Yang*, Anjali W. Gupta*, Rilyn Han*, Li Fei-Fei, Saining Xie.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025
[Oral]
[PDF]
[BLOG]
[CODE]
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
Shengbang Tong*, Ellis Brown*, Penghao Wu*, Sanghyun Woo, Manoj Middepogu, Sai Charitha Akula, Jihan Yang,
Shusheng Yang, Adithya Iyer, Xichen Pan, Austin Wang, Rob Fergus, Yann LeCun, Saining Xie.
Advances in Neural Information Processing Systems (NeurIPS) 2024.
[Oral]
[PDF]
[BLOG]
[CODE]
V-IRL: Grounding Virtual Intelligence in Real Life
Jihan Yang, Runyu Ding, Ellis Brown, Xiaojuan Qi, Saining Xie.
European Conference on Computer Vision (ECCV), 2024.
[PDF]
[BLOG]
[CODE]
RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding
Jihan Yang*, Runyu Ding*, Weipeng Deng, Zhe Wang, Xiaojuan Qi.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[PDF]
[BLOG]
[CODE]
PLA: Language-driven Open-Vocabulary 3D Scene Understanding
Runyu Ding*, Jihan Yang*, Chuhui Xue, Wenqing Zhang, Song Bai, Xiaojuan Qi.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[PDF]
[BLOG]
[CODE]
OpenPCDet: An Open-source Toolbox for 3D Object Detection from Point Cloud
OpenPCDet Development Team (2nd Core Developer)
[CODE]
Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation
Ruijia Xu, Guanbin Li, Jihan Yang, Liang Lin
IEEE International Conference on Computer Vision (ICCV), 2019.[Oral]
Best Paper Award Nomination (one of the seven among 1,075 accepted papers) refer to here.
[PDF]
[CODE] 
Experience
-
Courant Institute of Mathematical Sciences, NYU
Sep 2024 - Apr 2026
Postdoctoral fellow with Prof. Saining Xie -
Courant Institute of Mathematical Sciences, NYU
April 2023 - Aug 2024
Research intern with Prof. Saining Xie -
Autonomous Driving Group, SenseTime
May 2020 - Oct 2020
Research intern with Dr. Zhe Wang -
Youtu Lab, Tencent
Feb 2019 - Feb 2020
Research intern with Dr. Ruiyu Li and Dr. Xiaoyong Shen -
Research Group, YITU Technology
Jul 2018 - Sep 2019
Research intern
Invited Talks
| 2025/10: Invited talk @ Spatial Intelligence Seminar, Shanghai AI Lab | Towards Spatial Supersensing |
| 2025/09: Invited talk @ Twelve Labs | Thinking in Space |
| 2025/06: Invited talk @ University of Hong Kong | Thinking in Space |
| 2025/04: Invited talk @ University of Washington, NeuroAI Shlizerman Lab | Thinking in Space |
| 2025/03: Invited talk @ Johns Hopkins University, CCVL Research Group | Thinking in Space |
| 2025/02: Invited talk @ Bytedance, Seed Team | Thinking in Space and SFTvsRL |
Honors & Awards
| 2nd place on 3D detection, 3D tracking and domain adaptation three tracks of Waymo Open Challenges | 2020 |
| Postgraduate Scholarship, HKU | 2020 - 2024 |
| Best Paper Nomination, IEEE International Conference on Computer Vision (0.2%) | 2019 |
| Excellent Graduate Award of Sun Yat-sen University (2%) | 2019 |
| Excellent Dissertations of Sun Yat-sen University (2%) | 2019 |
| First Prize Scholarship of Sun Yat-sen University (4%) | 2017, 2018 |
Academic Services
Conference Reviewer:
- CVPR: 21/22/23/24/25
- ICCV: 21/25
- ECCV: 22/24
- NeurIPS: 23/24
- ICLR: 24/25
- ICML: 25
- IROS: 23
- AAAI: 21
- MM: 24
- IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)
- International Journal of Computer Vision (IJCV)
Teaching
| ELEC3249 Pattern Recognition and Machine Intelligence | 2022-2023 | |
| ENGG1310 Electricity and Electronics | 2021-2022 | |
| ELEC3249 Pattern Recognition and Machine Intelligence | 2020-2021 |