Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training. - Geng Yuan; Yanyu Li; Sheng Li 019; Zhenglun Kong; Sergey Tulyakov; Xulong Tang; Yanzhi Wang; Jian Ren 005 (NeurIPS, 2022)

Optimizing Data Layout for Training Deep Neural Networks. - Bingyao Li; Qi Xue; Geng Yuan; Sheng Li 019; Xiaolong Ma; Yanzhi Wang; Xulong Tang (WWW (Companion Volume), 2022)

Sustainable AI Processing at the Edge. - Sébastien Ollivier; Sheng Li 019; Yue Tang 002; Chayanika Chaudhuri; Peipei Zhou 001; Xulong Tang; Jingtong Hu; Alex K. Jones (CoRR, 2022)

An adaptive regression based single-image super-resolution. - Mingzheng Hou; Ziliang Feng; Haobo Wang; Zhiwei Shen; Sheng Li 019 (Multim. Tools Appl., 2022)

SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing. - Sheng Li 019; Geng Yuan; Yue Dai 005; Youtao Zhang; Yanzhi Wang; Xulong Tang (ICLR, 2023)

Sustainable AI Processing at the Edge. - Sébastien Ollivier; Sheng Li 019; Yue Tang 002; Stephen Cahoon; Ryan Caginalp; Chayanika Chaudhuri; Peipei Zhou 001; Xulong Tang; Jingtong Hu; Alex K. Jones (IEEE Micro, 2023)

Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning. - Sheng Li 019; Chao Wu 006; Ao Li 004; Yanzhi Wang; Xulong Tang; Geng Yuan (ICLR, 2024)

EdgeOL: Efficient in-situ Online Learning on Edge Devices. - Sheng Li 019; Geng Yuan; Yawen Wu; Yue Dai 005; Chao Wu 006; Alex K. Jones; Jingtong Hu; Yanzhi Wang; Xulong Tang (CoRR, 2024)

Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration. - Tianyu Wang; Sheng Li 019; Bingyao Li; Yue Dai 005; Ao Li 004; Geng Yuan; Yufei Ding 001; Youtao Zhang; Xulong Tang (CoRR, 2024)

A Computation and Energy Efficient Hardware Architecture for SSL Acceleration. - Huidong Ji; Sheng Li 019; Yue Cao; Chen Ding; Jiawei Xu 001; Qitao Tan; Jun Liu 075; Ao Li 004; Xulong Tang; Lirong Zheng 001; Geng Yuan; Zhuo Zou (ASP-DAC, 2025)

Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning. - Sheng Li 019; Qitao Tan; Yue Dai 005; Zhenglun Kong; Tianyu Wang; Jun Liu 075; Ao Li 004; Ninghao Liu; Yufei Ding 001; Xulong Tang; Geng Yuan (ICLR, 2025)