I am a second-year master's student majoring computer science at Columbia University, advised by Prof. Shih-Fu Chang.
I am also fortunate to work under the supervision of Dr. Jim Fan, Prof. Yuke Zhu, and Prof. Anima Anandkumar at NVIDIA Research.
Previously, I graduated from Columbia's Fu Foundation Engineering school with a B.S in Computer Science (Summa Cum Laude)
My research interest lies at the intersection of Computer Vision and Robot Learning.
I am particularly interested in exploring approaches to capture and utilize rich "common sense" representations, which guide embodied agents to learn from interactions with the physical world.
We proposed TempCLR, a new contrastive learning framework that considers sequence-level temporal order consistency. The sequence-level framework improves multimodal representation learning in video understanding.