Publications

2025

1. ASP-DAC

   A Computation and Energy Efficient Hardware Architecture for SSL Acceleration

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

   In 30th Asia and South Pacific Design Automation Conference, 2025

   to appear

2024

1. ICLR

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

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

   In The Twelfth International Conference on Learning Representations, 2024

   Bib HTML

   @inproceedings{li2024waxingandwaning,
     title = {Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning},
     author = {Li, Sheng and Wu, Chao and Li, Ao and Wang, Yanzhi and Tang, Xulong and Yuan, Geng},
     booktitle = {The Twelfth International Conference on Learning Representations},
     year = {2024},
     url = {https://openreview.net/forum?id=TilcG5C8bN}
   }

2. Preprint

   ETuner: A Redundancy-Aware Framework for Efficient Continual Learning Application on Edge Devices

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

   arXiv preprint arXiv:2401.16694, 2024

   Bib HTML

   @article{li2024etuner,
     title = {ETuner: A Redundancy-Aware Framework for Efficient Continual Learning Application on Edge Devices},
     author = {Li, Sheng and Yuan, Geng and Wu, Yawen and Dai, Yue and Wang, Tianyu and Wu, Chao and Jones, Alex K. and Hu, Jingtong and Wang, Yanzhi and Tang, Xulong},
     journal = {arXiv preprint arXiv:2401.16694},
     year = {2024}
   }

3. Preprint

   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, and Xulong Tang

   arXiv preprint arXiv:2407.13126, 2024

   Bib HTML

   @article{wang2024improving,
     title = {Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration},
     author = {Wang, Tianyu and Li, Sheng and Li, Bingyao and Dai, Yue and Li, Ao and Yuan, Geng and Ding, Yufei and Zhang, Youtao and Tang, Xulong},
     journal = {arXiv preprint arXiv:2407.13126},
     year = {2024}
   }

2023

1. ICLR

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

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

   In The Eleventh International Conference on Learning Representations , 2023

   Spotlight Bib HTML

   @inproceedings{li2023smartfrz,
     highlight = {Spotlight},
     title = {Smart{FRZ}: An Efficient Training Framework using Attention-Based Layer Freezing},
     author = {Li, Sheng and Yuan, Geng and Dai, Yue and Zhang, Youtao and Wang, Yanzhi and Tang, Xulong},
     booktitle = {The Eleventh International Conference on Learning Representations },
     year = {2023},
     url = {https://openreview.net/forum?id=i9UlAr1T_xl}
   }

2022

1. IEEE Micro

   Sustainable AI processing at the edge

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

   IEEE Micro, 2022

   Bib HTML

   @article{ollivier2022sustainable,
     title = {Sustainable AI processing at the edge},
     author = {Ollivier, S{\'e}bastien and Li, Sheng and Tang, Yue and Cahoon, Stephen and Caginalp, Ryan and Chaudhuri, Chayanika and Zhou, Peipei and Tang, Xulong and Hu, Jingtong and Jones, Alex K},
     journal = {IEEE Micro},
     volume = {43},
     number = {1},
     pages = {19--28},
     year = {2022},
     publisher = {IEEE}
   }

2. NeurIPS

   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, and Jian Ren

   Advances in Neural Information Processing Systems, 2022

   Bib HTML

   @article{yuan2022layer,
     title = {Layer freezing \& data sieving: missing pieces of a generic framework for sparse training},
     author = {Yuan, Geng and Li, Yanyu and Li, Sheng and Kong, Zhenglun and Tulyakov, Sergey and Tang, Xulong and Wang, Yanzhi and Ren, Jian},
     journal = {Advances in Neural Information Processing Systems},
     volume = {35},
     pages = {19061--19074},
     year = {2022},
     url = {https://proceedings.neurips.cc/paper_files/paper/2022/file/794a425a2e47e05d29d30f79b79a692d-Paper-Conference.pdf}
   }

3. WWW workshop

   Optimizing Data Layout for Training Deep Neural Networks

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

   In Companion Proceedings of the Web Conference, 2022

   Bib HTML

   @inproceedings{li2022optimizing,
     title = {Optimizing Data Layout for Training Deep Neural Networks},
     author = {Li, Bingyao and Xue, Qi and Yuan, Geng and Li, Sheng and Ma, Xiaolong and Wang, Yanzhi and Tang, Xulong},
     booktitle = {Companion Proceedings of the Web Conference},
     pages = {548--554},
     year = {2022}
   }

4. Multimed Tools Appl

   An adaptive regression based single-image super-resolution

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

   Multimedia Tools and Applications, 2022

   Bib HTML

   @article{hou2022adaptive,
     title = {An adaptive regression based single-image super-resolution},
     author = {Hou, Mingzheng and Feng, Ziliang and Wang, Haobo and Shen, Zhiwei and Li, Sheng},
     journal = {Multimedia Tools and Applications},
     volume = {81},
     number = {20},
     pages = {28231--28248},
     year = {2022},
     publisher = {Springer}
   }

2019

1. IHMSC

   A neural network-based teaching style analysis model

   Sheng Li, Zanhan Ding, and Honglv Chen

   In 2019 11th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2019

   Bib HTML

   @inproceedings{li2019neural,
     title = {A neural network-based teaching style analysis model},
     author = {Li, Sheng and Ding, Zanhan and Chen, Honglv},
     booktitle = {2019 11th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)},
     volume = {2},
     pages = {154--157},
     year = {2019},
     organization = {IEEE}
   }

2. CISCE

   EEG signal classification method based on feature priority analysis and CNN

   Sheng Li, and Hanxin Feng

   In 2019 international conference on communications, information system and computer engineering (CISCE), 2019

   Bib HTML

   @inproceedings{li2019eeg,
     title = {EEG signal classification method based on feature priority analysis and CNN},
     author = {Li, Sheng and Feng, Hanxin},
     booktitle = {2019 international conference on communications, information system and computer engineering (CISCE)},
     pages = {403--406},
     year = {2019},
     organization = {IEEE}
   }