I am Xinyu Yang (杨新宇), an first-year Ph.D. student at Carnegie Mellon University, advised by Prof. Beidi Chen. My research focuses on efficient deep learning and system. I am currently working on efficient algorithms for large generative model and autonomous driving.
Before coming to CMU, I was an undergraduate student from ACM Honors Class, Zhiyuan College, Shanghai Jiao Tong University, and a research intern working with Prof. Junchi Yan at SJTU-ReThinkLab. I also had a wonderful time as a research intern working with Prof. Song Han at MIT HAN Lab and remotely with Prof. Chelsea Finn at Stanford IRIS Lab.
 Huaxiu Yao*, Xinyu Yang*, Xinyi Pan, Shengchao Liu, Pang Wei Koh, Chelsea Finn, Leveraging Domain Relations for Domain Generalization, arXiv 2302.02609 (the short version is presented in NeurIPS 2022 Workshop on Distribution Shifts). [arXiv]
 Chenhang Cui*, Yiyang Zhou*, Xinyu Yang, Shirley Wu, Linjun Zhang, James Zou, Huaxiu Yao, Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges, arXiv 2311.03287. [arXiv]
 Xinyu Yang*, Huaxiu Yao*, Allan Zhou, Chelsea Finn, Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations, Transactions on Machine Learning Research (TMLR), 2023 (the short version is presented in NeurIPS 2022 Workshop on Distribution Shifts). [arXiv]
 Zhijian Liu*, Xinyu Yang*, Haotian Tang, Shang Yang, Song Han, Flattened Window Attention for Efficient Point Cloud Transformer, in The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023 (CVPR 2023), Vancouver, Canada, Jun. 2023. [arXiv]
 Zhijian Liu*, Haotian Tang*, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela Rus, Song Han, BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird’s-Eye View Representation, in 2023 IEEE International Conference on Robotics and Automation (ICRA 2023), London, UK, Jun. 2023. [Project Page] [Code] [arXiv]
 Danning Lao*, Xinyu Yang*, Qitian Wu, Junchi Yan, Variational Inference for Training Graph Neural Networks in Low-Data Regime through Joint Structure-Label Estimation, in Proceedings of the 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2022), Washington DC, Aug. 2022 (Research Track). [PDF] [Code] [Slides] [Poster]