Shen, Sheng

Learned Token Pruning for Transformers

Kim, S., Shen, S., Thorsley, D., Gholami, A., Kwon, W., Hassoun, J., & Keutzer, K. (2022) · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Advanced Neural Network ApplicationsTopic Modeling

Cited by 139

Ship Type Classification by Convolutional Neural Networks with Auditory-Like Mechanisms

Shen, S., Yang, H., Yao, X., Li, J., Xu, G., & Sheng, M. (2020) · Sensors

Music and Audio ProcessingUnderwater Acoustics Research

Cited by 57

Auditory Inspired Convolutional Neural Networks for Ship Type Classification with Raw Hydrophone Data

Shen, S., Yang, H., Li, J., Xu, G., & Sheng, M. (2018) · Entropy

Underwater Acoustics ResearchMusic and Audio Processing

Cited by 55

Improved Auditory Inspired Convolutional Neural Networks for Ship Type Classification

Shen, S., Yang, H., & Li, J. (2019) · OCEANS 2019 - Marseille

Music and Audio ProcessingUnderwater Acoustics Research

Cited by 19

Enhancing Large Vision Language Models with Self-Training on Image Comprehension

Deng, Y., Lu, P., Yin, F., Hu, Z., Shen, S., Gu, Q., Zou, J., Chang, K.-W., & Wang, W. (2024) · Advances in Neural Information Processing Systems 37

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 7

HallE-Control: Controlling Object Hallucination in Large Multimodal Models

Zhai, B., Yang, S., Xu, C., Shen, S., Keutzer, K., Li, C., & Li, M. (2023) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 2