Yixiao Wang

I'm a second-year PhD student at UC Berkeley, honored to be advised by Professor Masayoshi Tomizuka and affiliated with Berkeley Artificial Intelligence Research (BAIR).

Email / CV / Scholar / Github

News

September, 2024: One paper got accepted by CoRL 2024!
July, 2024: One paper got accepted by ECCV 2024!
June, 2024: One paper got accepted by IROS 2024!

Research

I am interested in generative AI, specifically diffusion models, robotics, multi-modal foundation models, reasoning, and planning. I am continuously pursuing the study of world models from the perspective of data distribution, focusing on how interactions can be learned and ensured under physical and social rules. I'm always open to collaborating and discussing on exciting research projects. Feel free to reach out!

	Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning Yixiao Wang^, Yifei Zhang^, Mingxiao Huo^, Ran Tian, Xiang Zhang, Yichen Xie, Chenfeng Xu, Pengliang Ji, Wei Zhan, Mingyu Ding, Masayoshi Tomizuka CoRL*, 2024 project page / arXiv
	OptTrajDiff: Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation Yixiao Wang, Chen Tang, Lingfeng Sun, Simone Rossi, Yichen Xie, Chensheng Peng, Thomas Hannagan, Stefano Sabatini, Nicola Poerio, Masayoshi Tomizuka, Wei Zhan ECCV, 2024 project page / arXiv
	Joint Pedestrian Trajectory Prediction through Posterior Sampling Haotian Lin, Yixiao Wang^†, Mingxiao Huo, Chensheng Peng, Zhiyuan Liu, Masayoshi Tomizuka IROS, 2024 arXiv
	Composition Vision-Language Understanding via Segment and Depth Anything Model Mingxiao Huo, Pengliang Ji, Haotian Lin, Junchen Liu, Yixiao Wang, Yijun Chen arXiv,2024 arXiv

Thank Jon Barron for sharing his website's source code.