Xianhang Li

According to our database, Xianhang Li authored at least 32 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Text-Conditional JEPA for Learning Semantically Rich Visual Representations.

Chen Huang, Xianhang Li, Vimal Thilak, Etai Littwin, Joshua M. Susskind

CoRR, May, 2026

OpenVision 3: A Family of Unified Visual Encoder for Both Understanding and Generation.

Letian Zhang, Sucheng Ren, Yanqing Liu, Xianhang Li, Zeyu Wang, Yuyin Zhou, Huaxiu Yao, Zeyu Zheng, Weili Nie, Guilin Liu, Zhiding Yu, Cihang Xie

CoRR, January, 2026

LVM-Lite: Training Large Vision Models with Efficient Sequential Modeling.

Xianhang Li, Hongru Zhu, Sucheng Ren, Linjie Yang, Peng Wang, Heng Wang, Xiaohui Shen, Qing Liu, Cihang Xie

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

Rethinking JEPA: Compute-Efficient Video SSL with Frozen Teachers.

Xianhang Li, Chen Huang, Chun-Liang Li, Eran Malach, Josh M. Susskind, Vimal Thilak, Etai Littwin

CoRR, September, 2025

A New Benchmark for Evaluating Code Translation with Third-Party Libraries.

Pengyu Xue, Kunwu Zheng, Zhen Yang, Yifei Pei, Linhao Wu, Jiahui Dong, Xiapu Luo, Yan Xiao, Fei Liu, Yuxuan Zhang, Xiran Lyu, Xianhang Li, Xuanyu Zhu, Chengyi Wang

CoRR, September, 2025

OpenVision 2: A Family of Generative Pretrained Visual Encoders for Multimodal Learning.

Yanqing Liu, Xianhang Li, Letian Zhang, Zirui Wang, Zeyu Zheng, Yuyin Zhou, Cihang Xie

CoRR, September, 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, May, 2025

What If We Recaption Billions of Web Images with LLaMA-3?

Xianhang Li, Haoqin Tu, Mude Hui, Zeyu Wang, Bingchen Zhao, Junfei Xiao, Sucheng Ren, Jieru Mei, Qing Liu, Huangjie Zheng, Yuyin Zhou, Cihang Xie

Proceedings of the Forty-second International Conference on Machine Learning, 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, James Zou, Cihang Xie, Yuyin Zhou

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

OpenVision: A Fully-Open, Cost-Effective Family of Advanced Vision Encoders for Multimodal Learning.

Xianhang Li, Yanqing Liu, Haoqin Tu, Cihang Xie

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Efficient VideoMAE via Temporal Progressive Training.

Xianhang Li, Peng Wang, Xinyu Li, Heng Wang, Hongru Zhu, Cihang Xie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

Unleashing the Power of Visual Prompting At the Pixel Level.

Junyang Wu, Xianhang Li, Chen Wei, Huiyu Wang, Alan L. Yuille, Yuyin Zhou, Cihang Xie

Trans. Mach. Learn. Res., 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, Ehsan Adeli, Yan Wang, Matthew P. Lungren, Shaoting Zhang, Lei Xing, Le Lu, Alan L. Yuille, Yuyin Zhou

Medical Image Anal., 2024

CLIPS: An Enhanced CLIP Framework for Learning with Synthetic Captions.

Yanqing Liu, Xianhang Li, Zeyu Wang, Bingchen Zhao, Cihang Xie

CoRR, 2024

Medical Vision Generalist: Unifying Medical Imaging Tasks in Context.

Sucheng Ren, Xiaoke Huang, Xianhang Li, Junfei Xiao, Jieru Mei, Zeyu Wang, Alan L. Yuille, Yuyin Zhou

CoRR, 2024

Scaling White-Box Transformers for Vision.

Jinrui Yang, Xianhang Li, Druv Pai, Yuyin Zhou, Yi Ma, Yaodong Yu, Cihang Xie

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Brain Tumor Segmentation Through Supervoxel Transformer.

Yunfei Xie, Ce Zhou, Jieru Mei, Xianhang Li, Cihang Xie, Yuyin Zhou

Proceedings of the IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Masked Autoencoders are Secretly Efficient Learners.

Zihao Wei, Chen Wei, Jieru Mei, Yutong Bai, Zeyu Wang, Xianhang Li, Hongru Zhu, Huiyu Wang, Alan L. Yuille, Yuyin Zhou, Cihang Xie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Revisiting Adversarial Training at Scale.

Zeyu Wang, Xianhang Li, Hongru Zhu, Cihang Xie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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, Ehsan Adeli, Yan Wang, Matthew P. Lungren, Lei Xing, Le Lu, Alan L. Yuille, Yuyin Zhou

CoRR, 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, Cihang Xie

CoRR, 2023

An Inverse Scaling Law for CLIP Training.

Xianhang Li, Zeyu Wang, Cihang Xie

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

3D-TransUNet for Brain Metastases Segmentation in the BraTS2023 Challenge.

Siwei Yang, Xianhang Li, Jieru Mei, Jieneng Chen, Cihang Xie, Yuyin Zhou

Proceedings of the Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, 2023

Consistency-Guided Meta-learning for Bootstrapping Semi-supervised Medical Image Segmentation.

Qingyue Wei, Lequan Yu, Xianhang Li, Wei Shao, Cihang Xie, Lei Xing, Yuyin Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

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

CoRR, 2022

Pose-guided Generative Adversarial Net for Novel View Action Synthesis.

Xianhang Li, Junhao Zhang, Kunchang Li, Shruti Vyas, Yogesh Singh Rawat

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Fast AdvProp.

Jieru Mei, Yucheng Han, Yutong Bai, Yixiao Zhang, Yingwei Li, Xianhang Li, Alan L. Yuille, Cihang Xie

Proceedings of the Tenth International Conference on Learning Representations, 2022

In Defense of Image Pre-Training for Spatiotemporal Recognition.

Xianhang Li, Huiyu Wang, Chen Wei, Jieru Mei, Alan L. Yuille, Yuyin Zhou, Cihang Xie

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

CT-Net: Channel Tensorization Network for Video Classification.

Kunchang Li, Xianhang Li, Yali Wang, Jun Wang, Yu Qiao

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

SmallBigNet: Integrating Core and Contextual Views for Video Classification.

Xianhang Li, Yali Wang, Zhipeng Zhou, Yu Qiao

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020