Yutong Bai

Yutong Bai (白雨桐)

I am Yutong Bai, a 4th-year CS Ph.D. student at Johns Hopkins University advised by Bloomberg Distinguished Professor Alan Yuille.

I am currently a visiting Ph.D. student at UC Berkeley (BAIR), advised by Prof. Alexei (Alyosha) Efros.

Previously I used to intern at Meta AI (FAIR Labs) and Google Brain.

I've been selected as 2023 Apple Scholar and 2023 EECS Rising Star.

Email / Google Scholar / LinkedIn / Twitter / Github / Zhihu (知乎)

News

I am looking for self-motivated graduate/undergraduate students to collaborate. Please email me if you are interested.
Currently on the job market!

Research

My research aim to build up the AI system with less supervision and strong robustness, hopefully bring AI closer to human-level intelligence. With this goal, I have explored topics, including representation learning, self-supervised learning, image generation and scalable multi-modality learning. Representative papers are highlighted.

	Sequential Modeling Enables Scalable Learning for Large Vision Models Yutong Bai, Xinyang Geng, Karttikeya Mangalam, Amir Bar, Alan Yuille, Trevor Darrell, Jitendra Malik, Alexei A. Efros arxiv paper / Project Page / code & data (coming soon)
	Masked Autoencoders Enable Efficient Knowledge Distillers Yutong Bai, Zeyu Wang, Junfei Xiao, Chen Wei, Huiyu Wang, Alan Yuille, Yuyin Zhou, Cihang Xie CVPR, 2023 paper / code
	Point-Level Region Contrast for Object Detection Pre-Training Yutong Bai, Xinlei Chen, Alexander Kirillov, Alan Yuille, Alexander C. Berg CVPR, 2022 (Oral Presentation, Best Paper Finalist - Top 0.4%) paper / code / video / poster
	Can CNNs Be More Robust Than Transformers? Zeyu Wang, Yutong Bai, Yuyin Zhou, Cihang Xie ICLR, 2023 paper / code
	Fast AdvProp Jieru Mei, Yucheng Han, Yutong Bai, Yixiao Zhang, Yingwei Li, Xianhang Li, Alan Yuille, Cihang Xie ICLR, 2022 paper / project page
	TransFG: A Transformer Architecture for Fine-grained Recognition Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang AAAI, 2022 paper / code
	Are Transformers More Robust than CNNs? Yutong Bai, Jieru Mei, Alan L Yuille, Cihang Xie NeurIPS, 2021 paper / code
	Glance-and-Gaze Vision Transformer Qihang Yu, Yingda Xia, Yutong Bai, Yongyi Lu, Alan L Yuille, Wei Shen NeurIPS, 2021 paper / project page
	Mask Guided Matting via Progressive Refinement Network Qihang Yu, Jianming Zhang, He Zhang, Yilin Wang, Zhe Lin, Ning Xu, Yutong Bai, Alan Yuille CVPR, 2021 paper / project page
	Can Temporal Information Help with Contrastive Self-Supervised Learning? Yutong Bai Haoqi Fan, Ishan Misra, Ganesh Venkatesh, Yongyi Lu, Yuyin Zhou, Qihang Yu Vikas Chandra, Alan Yuille Tech report, arXiv paper
	C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation Qihang Yu, Dong Yang, Holger Roth, Yutong Bai, Yixiao Zhang, Alan Yuille, Daguang Xu CVPR, 2020 paper
	Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints from Limited Training Data Yutong Bai, Qing Liu, Lingxi Xie, Weichao Qiu, Yan Zheng, Alan Yuille ICCV, 2019 paper / code
	Clevr-ref+: Diagnosing Visual Reasoning with Referring Expressions Runtao Liu, Chenxi Liu, Yutong Bai, Alan L Yuille CVPR, 2019 paper / project page
	CoKe: Contrastive Learning for Robust Keypoint Detection Yutong Bai, Angtian Wang, Adam Kortylewski, Alan Yuille WACV, 2023 paper
	Delving Into Masked Autoencoders for Multi-Label Thorax Disease Classification Junfei Xiao, Yutong Bai, Alan Yuille, Zongwei Zhou WACV, 2023 paper / code

Stolen from Jon Barron. Big thanks!