Shen, Zhiqiang

Learning Efficient Convolutional Networks through Network Slimming

Liu, Z., Li, J., Shen, Z., Huang, G., Yan, S., & Zhang, C. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2,761

Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space

Chavan, A., Shen, Z., Liu, Z., Liu, Z., Cheng, K.-T., & Xing, E. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 72

Do More Dropouts in Pool5 Feature Maps for Better Object Detection

Shen, Z., & Xue, X. (2014) · arXiv

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 7

SlimPajama-DC: Understanding Data Combinations for LLM Training

Shen, Z., Tao, T., Ma, L., Neiswanger, W., Liu, Z., Wang, H., Tan, B., Hestness, J., Vassilieva, N., Soboleva, D., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

LLM360: Towards Fully Transparent Open-Source LLMs

Liu, Z., Qiao, A., Neiswanger, W., Wang, H., Tan, B., Tao, T., Li, J., Wang, Y., Sun, S., Pangarkar, O., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3