Sheng Li

According to our database, Sheng Li authored at least 11 papers between 2022 and 2025.

Collaborative distances:

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

2025

Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning.

Sheng Li, Qitao Tan, Yue Dai, Zhenglun Kong, Tianyu Wang, Jun Liu, Ao Li, Ninghao Liu, Yufei Ding, Xulong Tang, Geng Yuan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

A Computation and Energy Efficient Hardware Architecture for SSL Acceleration.

Huidong Ji, Sheng Li, Yue Cao, Chen Ding, Jiawei Xu, Qitao Tan, Jun Liu, Ao Li, Xulong Tang, Lirong Zheng, Geng Yuan, Zhuo Zou

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024

Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration.

Tianyu Wang, Sheng Li, Bingyao Li, Yue Dai, Ao Li, Geng Yuan, Yufei Ding, Youtao Zhang, Xulong Tang

CoRR, 2024

EdgeOL: Efficient in-situ Online Learning on Edge Devices.

Sheng Li, Geng Yuan, Yawen Wu, Yue Dai, Chao Wu, Alex K. Jones, Jingtong Hu, Yanzhi Wang, Xulong Tang

CoRR, 2024

Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning.

Sheng Li, Chao Wu, Ao Li, Yanzhi Wang, Xulong Tang, Geng Yuan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Sustainable AI Processing at the Edge.

Sébastien Ollivier, Sheng Li, Yue Tang, Stephen Cahoon, Ryan Caginalp, Chayanika Chaudhuri, Peipei Zhou, Xulong Tang, Jingtong Hu, Alex K. Jones

IEEE Micro, 2023

SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing.

Sheng Li, Geng Yuan, Yue Dai, Youtao Zhang, Yanzhi Wang, Xulong Tang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

An adaptive regression based single-image super-resolution.

Mingzheng Hou, Ziliang Feng, Haobo Wang, Zhiwei Shen, Sheng Li

Multim. Tools Appl., 2022

Sustainable AI Processing at the Edge.

Sébastien Ollivier, Sheng Li, Yue Tang, Chayanika Chaudhuri, Peipei Zhou, Xulong Tang, Jingtong Hu, Alex K. Jones

CoRR, 2022

Optimizing Data Layout for Training Deep Neural Networks.

Bingyao Li, Qi Xue, Geng Yuan, Sheng Li, Xiaolong Ma, Yanzhi Wang, Xulong Tang

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training.

Geng Yuan, Yanyu Li, Sheng Li, Zhenglun Kong, Sergey Tulyakov, Xulong Tang, Yanzhi Wang, Jian Ren

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022