Zhang, Changshui

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

Few Sample Knowledge Distillation for Efficient Network Compression

Li, T., Li, J., Liu, Z., & Zhang, C. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 149

An experimental evaluation of ensemble methods for EEG signal classification

Sun, S., Zhang, C., & Zhang, D. (2007) · Pattern Recognition Letters

EEG and Brain-Computer InterfacesEmotion and Mood Recognition

Cited by 130

A survey on machine learning from few samples

Lu, J., Gong, P., Ye, J., Zhang, J., & Zhang, C. (2023) · Pattern Recognition

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 100

Predicting Seizures from Electroencephalography Recordings: A Knowledge Transfer Strategy

Liang, J., Lu, R., Zhang, C., & Wang, F. (2016) · 2016 IEEE International Conference on Healthcare Informatics (ICHI)

EEG and Brain-Computer InterfacesEpilepsy research and treatment

Cited by 49

A Closer Look at the Self-Verification Abilities of Large Language Models in Logical Reasoning

Hong, R., Zhang, H., Pang, X., Yu, D., & Zhang, C. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingLogic, Reasoning, and Knowledge

Cited by 11