Xie, Zhenda

Swin Transformer V2: Scaling Up Capacity and Resolution

Liu, Z., Hu, H., Lin, Y., Yao, Z., Xie, Z., Wei, Y., Ning, J., Cao, Y., Zhang, Z., Dong, L., et al. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2,679

DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning

Guo, D., Yang, D., Zhang, H., Song, J., Wang, P., Zhu, Q., Xu, R., Zhang, R., Ma, S., Bi, X., et al. (2025) · Nature

Topic ModelingNatural Language Processing Techniques

Cited by 1,701

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

DeepSeek-AI, Guo, D., Yang, D., Zhang, H., Song, J., Wang, P., Zhu, Q., Xu, R., Zhang, R., Ma, S., et al. (2025) · arXiv

Software Engineering ResearchWeb Application Security Vulnerabilities

Cited by 538

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

Xie, Z., Lin, Y., Zhang, Z., Cao, Y., Lin, S., & Hu, H. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 370

DeepSeek-V3 Technical Report

DeepSeek-AI, Liu, A., Feng, B., Xue, B., Wang, B., Wu, B., Lu, C., Zhao, C., Deng, C., Zhang, C., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 294

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

Dai, D., Deng, C., Zhao, C., Xu, R. X., Gao, H., Chen, D., Li, J., Zeng, W., Yu, X., Wu, Y., et al. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 291

Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Cheng, X., Tian, R., Zeng, W., Dai, D., Chen, Q., Wang, B., Xie, Z., Huang, K., Yu, X., Deng, C., et al. (2026) · arXiv

Topic ModelingAdvanced Neural Network Applications

Cited by 21

Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

Yuan, J., Gao, H., Dai, D., Luo, J., Zhao, L., Zhang, Z., Xie, Z., Wei, Y. X., Wang, L., Xiao, Z., et al. (2025) · arXiv

Topic ModelingAdvanced Neural Network Applications

Cited by 4

mHC: Manifold-Constrained Hyper-Connections

Xie, Z., Wei, Y., Cao, H., Zhao, C., Deng, C., Li, J., Dai, D., Gao, H., Chang, J., Yu, K., et al. (2025) · arXiv

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 0