About
Publications
(* indicates equal contribution)

D3Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Rearrangement
[Project Page] [Paper] [Code]

RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation
[Project Page] [Paper] [Code]
Selected Honors & Awards
- Dean's List, NUS
- Certificate of Oustanding Performance & Top Students in CS4243 Computer Vision and Pattern Recognition (graduate level course), NUS
- Certificate of Best Project Award in CS4246/CS5446 AI Planning and Decision Making (graduate level course), NUS
- The Science & Technology Undergraduate Scholarship (an undergraduate full scholarship offered to support outstanding students), NUS & Singapore Ministry of Education
Experiences

Undergraduate Research Assistant @ NUS
Group of Learning and Optimization Working in AI (GLOW.AI)
Advisor: Prof. Bryan Low
Worked on my undergraduate honors thesis about leveraging large multimodal models (LMMs) for decision making and planning under uncertainty, with applications in autonomous driving and robotics.
Advisor: Prof. Bryan Low
Worked on my undergraduate honors thesis about leveraging large multimodal models (LMMs) for decision making and planning under uncertainty, with applications in autonomous driving and robotics.

Undergraduate Research Assistant @ UIUC
Robotic Perception, Interaction, and Learning Lab (RoboPIL)
Advisor: Prof. Yunzhu Li
Worked on action-conditioned scene graph building via interactive exploration for robotic manipulation, incorporating the large multimodal model (LMM).
Advisor: Prof. Yunzhu Li
Worked on action-conditioned scene graph building via interactive exploration for robotic manipulation, incorporating the large multimodal model (LMM).

Undergraduate Visiting Research Intern @ Stanford
Stanford Vision and Learning Lab (SVL)
Advisor: Prof. Jiajun Wu and Prof. Yunzhu Li
Worked on designing an ideal scene representation for embodied AI by leveraging foundation models, which is 3D, dynamic, and semantic.
Advisor: Prof. Jiajun Wu and Prof. Yunzhu Li
Worked on designing an ideal scene representation for embodied AI by leveraging foundation models, which is 3D, dynamic, and semantic.

Undergraduate Research Assistant @ NUS
Adaptive Computing Lab (AdaComp)
Advisor: Prof. David Hsu
Worked on designing the control and system architecture for autonomous long-horizon visual navigation.
Advisor: Prof. David Hsu
Worked on designing the control and system architecture for autonomous long-horizon visual navigation.
Academic Service
Teaching Assistant- CS3244: Machine Learning, Fall 2021, NUS
- CS2040: Data Structures and Algorithms, Fall 2020, NUS
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