About
👋🏻 Hi! I’m an undergraduate student and researcher at the University of Washington. I double major in Computer Science (with Honors) and Statistics, with a minor in Mathematics. I also work with the PRIOR team at the Allen Institute for AI.
During undergrad, I am fortunate to be co-advised by Professor Ranjay Krishna at the RAIVN Lab and Professor Dieter Fox at the Robotics and State Estimation Lab in UW Allen School, and advised by Professor Jenq-Neng Hwang at the Information Processing Lab in UW ECE. I am also pleased to collaborate with Dr Jiafei Duan and Dr Ying Jin.
My research interests are broadly in the fields of computer vision, machine learning, and embodied AI. I am especially passionate about robot learning, imitation learning, behavior cloning, and foundation models for robotics.
🔥 News
- [Apr 2025] Our paper SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation has been featured by The 2025 AI Index Report.
- [Feb 2025] Our paper SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation has been accepted to WRL @ ICLR 2025 and selected as Oral Spotlight.
- [Oct 2024] Our paper DAug: Diffusion-based Channel Augmentation for Radiology Image Retrieval and Classification has been accepted to AIM-FM @ NeurIPS 2024.
📑 Selected Publications
* Equal Contribution † Equal Advising
SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation
Haoquan Fang, Markus Grotz, Wilbert Pumacay, Yi Ru Wang, Dieter Fox†, Ranjay Krishna†, Jiafei Duan†
International Conference on Learning Representations (ICLR) 2025 Workshop on Robot Learning (WRL) Oral Spotlight
DAug: Diffusion-based Channel Augmentation for Radiology Image Retrieval and Classification
Ying Jin, Zhuoran Zhou, Haoquan Fang, Jenq-Neng Hwang
Conference on Neural Information Processing Systems (NeurIPS) 2024 Workshop on Advancements In Medical Foundation Models (AIM-FM)
📖 Professional Services
- Conference Reviewer
- International Conference on Learning Representations (ICLR) 2025 Workshops
- Conference on Computer Vision and Pattern Recognition (CVPR) 2025 Workshops
- Teaching Assistant
- CSE 493G1/599G1: Deep Learning (Spring 2025, Undergrad/Grad)
🎓 Education
- University of Washington, 2022 - 2026 (expected)
Bachelor of Science in Computer Science with Honors
Bachelor of Science in Statistics
Minor in Mathematics- GPA: 3.99/4.00 (Straight A in All Courses), Dean’s List (All Quarters & Years)
💼 Industrial Experience
- Nokia Shanghai Bell, Jul 2023 - Aug 2023
Research Engineer Intern- Supervised by Dr Quan Wang, Explored on COSMIC Report Generation