Zhenda Xie

According to our database, Zhenda Xie authored at least 21 papers between 2019 and 2024.

Collaborative distances:

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

2024

DeepSeek-VL: Towards Real-World Vision-Language Understanding.

Haoyu Lu, Wen Liu, Bo Zhang, Bingxuan Wang, Kai Dong, Bo Liu, Jingxiang Sun, Tongzheng Ren, Zhuoshu Li, Hao Yang, Yaofeng Sun, Chengqi Deng, Hanwei Xu, Zhenda Xie, Chong Ruan

CoRR, 2024

DeepSeek-Coder: When the Large Language Model Meets Programming - The Rise of Code Intelligence.

Daya Guo, Qihao Zhu, Dejian Yang, Zhenda Xie, Kai Dong, Wentao Zhang, Guanting Chen, Xiao Bi, Y. Wu, Y. K. Li, Fuli Luo, Yingfei Xiong, Wenfeng Liang

CoRR, 2024

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

Damai Dai, Chengqi Deng, Chenggang Zhao, R. X. Xu, Huazuo Gao, Deli Chen, Jiashi Li, Wangding Zeng, Xingkai Yu, Y. Wu, Zhenda Xie, Y. K. Li, Panpan Huang, Fuli Luo, Chong Ruan, Zhifang Sui, Wenfeng Liang

CoRR, 2024

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

Xiao Bi, Deli Chen, Guanting Chen, Shanhuang Chen, Damai Dai, Chengqi Deng, Honghui Ding, Kai Dong, Qiushi Du, Zhe Fu, Huazuo Gao, Kaige Gao, Wenjun Gao, Ruiqi Ge, Kang Guan, Daya Guo, Jianzhong Guo, Guangbo Hao, Zhewen Hao, Ying He, Wenjie Hu, Panpan Huang, Erhang Li, Guowei Li, Jiashi Li, Yao Li, Y. K. Li, Wenfeng Liang, Fangyun Lin, Alex X. Liu, Bo Liu, Wen Liu, Xiaodong Liu, Xin Liu, Yiyuan Liu, Haoyu Lu, Shanghao Lu, Fuli Luo, Shirong Ma, Xiaotao Nie, Tian Pei, Yishi Piao, Junjie Qiu, Hui Qu, Tongzheng Ren, Zehui Ren, Chong Ruan, Zhangli Sha, Zhihong Shao, Junxiao Song, Xuecheng Su, Jingxiang Sun, Yaofeng Sun, Minghui Tang, Bingxuan Wang, Peiyi Wang, Shiyu Wang, Yaohui Wang, Yongji Wang, Tong Wu, Y. Wu, Xin Xie, Zhenda Xie, Ziwei Xie, Yiliang Xiong, Hanwei Xu, R. X. Xu, Yanhong Xu, Dejian Yang, Yuxiang You, Shuiping Yu, Xingkai Yu, B. Zhang, Haowei Zhang, Lecong Zhang, Liyue Zhang, Mingchuan Zhang, Minghua Zhang, Wentao Zhang, Yichao Zhang, Chenggang Zhao, Yao Zhao, Shangyan Zhou, Shunfeng Zhou, Qihao Zhu, Yuheng Zou

CoRR, 2024

2023

DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior.

Jingxiang Sun, Bo Zhang, Ruizhi Shao, Lizhen Wang, Wen Liu, Zhenda Xie, Yebin Liu

CoRR, 2023

Drone-based quantum key distribution.

Xiao-Hui Tian, Ran Yang, Ji-Ning Zhang, Hua Yu, Yao Zhang, Pengfei Fan, Mengwen Chen, Changsheng Gu, Xin Ni, Mingzhe Hu, Xun Cao, Xiaopeng Hu, Gang Zhao, Yan-Qing Lu, Zhi-Jun Yin, Hua-Ying Liu, Yan-Xiao Gong, Zhenda Xie, Shi-Ning Zhu

CoRR, 2023

Improving CLIP Fine-tuning Performance.

Yixuan Wei, Han Hu, Zhenda Xie, Ze Liu, Zheng Zhang, Yue Cao, Jianmin Bao, Dong Chen, Baining Guo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

On Data Scaling in Masked Image Modeling.

Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Yixuan Wei, Qi Dai, Han Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Revealing the Dark Secrets of Masked Image Modeling.

Zhenda Xie, Zigang Geng, Jingcheng Hu, Zheng Zhang, Han Hu, Yue Cao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-training for Visual Recognition.

Yixuan Wei, Yue Cao, Zheng Zhang, Houwen Peng, Zhuliang Yao, Zhenda Xie, Han Hu, Baining Guo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation.

Yixuan Wei, Han Hu, Zhenda Xie, Zheng Zhang, Yue Cao, Jianmin Bao, Dong Chen, Baining Guo

CoRR, 2022

iCAR: Bridging Image Classification and Image-text Alignment for Visual Recognition.

Yixuan Wei, Yue Cao, Zheng Zhang, Zhuliang Yao, Zhenda Xie, Han Hu, Baining Guo

CoRR, 2022

SimMIM: a Simple Framework for Masked Image Modeling.

Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Jianmin Bao, Zhuliang Yao, Qi Dai, Han Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Swin Transformer V2: Scaling Up Capacity and Resolution.

Ze Liu, Han Hu, Yutong Lin, Zhuliang Yao, Zhenda Xie, Yixuan Wei, Jia Ning, Yue Cao, Zheng Zhang, Li Dong, Furu Wei, Baining Guo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learning.

Yansong Tang, Zhenyu Jiang, Zhenda Xie, Yue Cao, Zheng Zhang, Philip H. S. Torr, Han Hu

CoRR, 2021

Self-Supervised Learning with Swin Transformers.

Zhenda Xie, Yutong Lin, Zhuliang Yao, Zheng Zhang, Qi Dai, Yue Cao, Han Hu

CoRR, 2021

Long-time characterization of optical signal transmission through drone-to-ground link.

Xiao-Hui Tian, Changsheng Gu, Pengfei Fan, Mingzhe Hu, Hua-Ying Liu, Xin Ni, Ran Yang, Ji-Ning Zhang, Jian Guo, Yan-Xiao Gong, Zhenda Xie, Shi-Ning Zhu

Proceedings of the 13th International Conference on Wireless Communications and Signal Processing, 2021

Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning.

Zhenda Xie, Yutong Lin, Zheng Zhang, Yue Cao, Stephen Lin, Han Hu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Parametric Instance Classification for Unsupervised Visual Feature learning.

Yue Cao, Zhenda Xie, Bin Liu, Yutong Lin, Zheng Zhang, Han Hu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation.

Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Local Relation Networks for Image Recognition.

Han Hu, Zheng Zhang, Zhenda Xie, Stephen Lin

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019