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Yixiao Wang I'm a third-year PhD student at UC Berkeley, honored to be advised by Professor Masayoshi Tomizuka and affiliated with Berkeley Artificial Intelligence Research (BAIR). |
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ResearchI am interested in robotics, generative AI (specifically diffusion 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! |
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Imagined Potential Games: A Framework for Simulating, Learning and Evaluating Interactive Behaviors
Lingfeng Sun, Yixiao Wang, Pin-Yun Hung, Changhao Wang, Xiang Zhang, Zhuo Xu, Masayoshi Tomizuka Under Review, 2024 project page / arXiv |
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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 |
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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 |
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Joint Pedestrian Trajectory Prediction through Posterior Sampling
Haotian Lin, Yixiao Wang†, Mingxiao Huo, Chensheng Peng, Zhiyuan Liu, Masayoshi Tomizuka IROS, 2024 arXiv |
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Physics-Aware Robotic Palletization with Online Masking Inference
Tianqi Zhang, Zheng Wu, Yuxin Chen, Yixiao Wang, Boyuan Liang, Scott Moura, Masayoshi Tomizuka, Mingyu Ding, Wei Zhan Under Review, 2024 Paper |
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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 |
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Thank Jon Barron for sharing his website's source code. |