Yiqing XU's resume

Education

2016, Aug - 2020, Jun

B.A. Computer Science and B.A. Applied Mathematics

National University of Singapore
2020, Aug - 2025, Jun (Expected)

Ph.D. in Computer Science

National University of Singapore

Research Experience

2023, Aug - Present
Visiting PhD student

CSAIL, MIT
- Advised by Prof. Prof. Leslie Kaelbling and Prof. Tomás Lozano-Pérez
- Building a system to ground and optimize common-sense and multi-factorial objectives such as ``tidiness''. In particular, we ground the concept using multiple Diffusion Models (DMs) for the basic object relationships and optimize them jointly.
2020, Aug - Present
PhD student

School of Computing, National Univeristy of Singapore
- Advised by Prof. David Hsu
- Designed IRL methods to scale up reward learning (Inverse RL) to long-horizon and high-dimensional tasks.
- Built a simulator and benchmark for the Differentiable Deformable Object Manipulation methods.
- Learnt/represented human objectives through various data forms such as demonstration, unstructured play, and foundational models.