SmallBigNet: Integrating Core and Contextual Views for Video Classification. - Xianhang Li; Yali Wang 001; Zhipeng Zhou; Yu Qiao 001 (CVPR, 2020)

CT-Net: Channel Tensorization Network for Video Classification. - Kunchang Li 002; Xianhang Li; Yali Wang 001; Jun Wang; Yu Qiao 001 (ICLR, 2021)

In Defense of Image Pre-Training for Spatiotemporal Recognition. - Xianhang Li; Huiyu Wang; Chen Wei 005; Jieru Mei; Alan L. Yuille; Yuyin Zhou; Cihang Xie (ECCV (25), 2022)

Fast AdvProp. - Jieru Mei; Yucheng Han; Yutong Bai; Yixiao Zhang 001; Yingwei Li 002; Xianhang Li; Alan L. Yuille; Cihang Xie (ICLR, 2022)

Pose-guided Generative Adversarial Net for Novel View Action Synthesis. - Xianhang Li; Junhao Zhang; Kunchang Li 002; Shruti Vyas; Yogesh Singh Rawat (WACV, 2022)

Learning to Bootstrap for Combating Label Noise. - Yuyin Zhou; Xianhang Li; Fengze Liu; Xuxi Chen; Lequan Yu; Cihang Xie; Matthew P. Lungren; Lei Xing 001 (CoRR, 2022)

Consistency-Guided Meta-learning for Bootstrapping Semi-supervised Medical Image Segmentation. - Qingyue Wei; Lequan Yu; Xianhang Li; Wei Shao 008; Cihang Xie; Lei Xing 001; Yuyin Zhou (MICCAI (4), 2023)

3D-TransUNet for Brain Metastases Segmentation in the BraTS2023 Challenge. - Siwei Yang; Xianhang Li; Jieru Mei; Jieneng Chen; Cihang Xie; Yuyin Zhou (BraTS/CrossMoDA@MICCAI, 2023)

An Inverse Scaling Law for CLIP Training. - Xianhang Li; Zeyu Wang 008; Cihang Xie (NeurIPS, 2023)

CLIPA-v2: Scaling CLIP Training with 81.1% Zero-shot ImageNet Accuracy within a $10, 000 Budget; An Extra $4, 000 Unlocks 81.8% Accuracy. - Xianhang Li; Zeyu Wang 008; Cihang Xie (CoRR, 2023)

3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers. - Jieneng Chen; Jieru Mei; Xianhang Li; Yongyi Lu; Qihang Yu; Qingyue Wei; Xiangde Luo; Yutong Xie 001; Ehsan Adeli 001; Yan Wang 033; Matthew P. Lungren; Lei Xing 001; et al. (CoRR, 2023)

Revisiting Adversarial Training at Scale. - Zeyu Wang 008; Xianhang Li; Hongru Zhu; Cihang Xie (CVPR, 2024)

Masked Autoencoders are Secretly Efficient Learners. - Zihao Wei; Chen Wei 005; Jieru Mei; Yutong Bai; Zeyu Wang 008; Xianhang Li; Hongru Zhu; Huiyu Wang; Alan L. Yuille; Yuyin Zhou; Cihang Xie (CVPR Workshops, 2024)

L2B: Learning to Bootstrap Robust Models for Combating Label Noise. - Yuyin Zhou; Xianhang Li; Fengze Liu; Qingyue Wei; Xuxi Chen; Lequan Yu; Cihang Xie; Matthew P. Lungren; Lei Xing 001 (CVPR, 2024)

Brain Tumor Segmentation Through Supervoxel Transformer. - Yunfei Xie; Ce Zhou; Jieru Mei; Xianhang Li; Cihang Xie; Yuyin Zhou (ISBI, 2024)

Scaling White-Box Transformers for Vision. - Jinrui Yang; Xianhang Li; Druv Pai; Yuyin Zhou; Yi Ma 001; Yaodong Yu; Cihang Xie (NeurIPS, 2024)

Medical Vision Generalist: Unifying Medical Imaging Tasks in Context. - Sucheng Ren; Xiaoke Huang; Xianhang Li; Junfei Xiao; Jieru Mei; Zeyu Wang 008; Alan L. Yuille; Yuyin Zhou (CoRR, 2024)

What If We Recaption Billions of Web Images with LLaMA-3? - Xianhang Li; Haoqin Tu; Mude Hui; Zeyu Wang 008; Bingchen Zhao; Junfei Xiao; Sucheng Ren; Jieru Mei; Qing Liu 017; Huangjie Zheng; Yuyin Zhou; Cihang Xie (CoRR, 2024)

CLIPS: An Enhanced CLIP Framework for Learning with Synthetic Captions. - Yanqing Liu; Xianhang Li; Zeyu Wang 008; Bingchen Zhao; Cihang Xie (CoRR, 2024)

TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers. - Jieneng Chen; Jieru Mei; Xianhang Li; Yongyi Lu; Qihang Yu; Qingyue Wei; Xiangde Luo; Yutong Xie 001; Ehsan Adeli 001; Yan Wang 033; Matthew P. Lungren; Shaoting Zhang 001; et al. (Medical Image Anal., 2024)

Unleashing the Power of Visual Prompting At the Pixel Level. - Junyang Wu; Xianhang Li; Chen Wei 005; Huiyu Wang; Alan L. Yuille; Yuyin Zhou; Cihang Xie (Trans. Mach. Learn. Res., 2024)

Efficient VideoMAE via Temporal Progressive Training. - Xianhang Li; Peng Wang; Xinyu Li; Heng Wang; Hongru Zhu; Cihang Xie (CVPR Workshops, 2025)

Autoregressive Pretraining with Mamba in Vision. - Sucheng Ren; Xianhang Li; Haoqin Tu; Feng Wang; Fangxun Shu; Lei Zhang; Jieru Mei; Linjie Yang; Peng Wang; Heng Wang; Alan L. Yuille; Cihang Xie (ICLR, 2025)

MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine. - Yunfei Xie; Ce Zhou; Lang Gao; Juncheng Wu; Xianhang Li; Hong-Yu Zhou; Sheng Liu; Lei Xing 001; James Zou 001; Cihang Xie; Yuyin Zhou (ICLR, 2025)

OpenVision: A Fully-Open, Cost-Effective Family of Advanced Vision Encoders for Multimodal Learning. - Xianhang Li; Yanqing Liu; Haoqin Tu; Hongru Zhu; Cihang Xie (CoRR, 2025)