An efficient segmented quantization for graph neural networks. - Yue Dai 005; Xulong Tang; Youtao Zhang (CCF Trans. High Perform. Comput., 2022)

CEGMA: Coordinated Elastic Graph Matching Acceleration for Graph Matching Networks. - Yue Dai 005; Youtao Zhang; Xulong Tang (HPCA, 2023)

FlexGM: An Adaptive Runtime System to Accelerate Graph Matching Networks on GPUs. - Yue Dai 005; Xulong Tang; Youtao Zhang (ICCD, 2023)

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)

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)

Cascade: A Dependency-aware Efficient Training Framework for Temporal Graph Neural Network. - Yue Dai 005; Xulong Tang; Youtao Zhang (ASPLOS (2), 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)

Reinforcement Learning-Guided Graph State Generation in Photonic Quantum Computers. - Yingheng Li; Yue Dai 005; Aditya Pawar; Rongchao Dong; Jun Yang 002; Youtao Zhang; Xulong Tang (ISCA, 2025)