I received honours degree (summa cum laude) from Turing class at the School of Computer Science, Peking University. At Peking University, I was mainly advised by Prof. Hao Dong on robotics learning. I also collaborated closely with Prof. Zongqing Lu on the spatial cognitive abilities of machine learning models.

Reconfiguring a die to match desired goal orientations. This task require delicate coordination of various muscles to manipulate the die without dropping it.

In this study, we take advantage of visual affordance by using the contact information generated during the RL training process to predict contact maps of interest.

We investigated whether a compositional language for describing 2-D positional relation can emerge from communication under environmental pressure.

We achieved state-of-the-art manipulation performance by combining reinforcement learning and multi-view pose estimation.

We proposed an image-guided depth completion model which is SOTA on NYUv2 dataset and won the first place on KITTY benchmark at the time of submission.

We propose a framework that utilizes only RGB inputs and enables 3D articulated object manipulation.

This template is a modification to Jon Barron's website.