His research aims to advance the fundamental understanding and application of generative models. Currently, one of the core objectives is to innovate in the application of large generative models beyond their conventional use, such as lifting the 2D generation results to create sophisticated 3D objects or scens, or harnessing the capabilities of generative models to tackle persistent challenges in perception tasks.