Optimizing Sparse Matrix Multiplications for Graph Neural Networks. - Shenghao Qiu; You Liang; Zheng Wang 001 (LCPC, 2021)

AIACC-Training: Optimizing Distributed Deep Learning Training through Multi-streamed and Concurrent Gradient Communications. - Lixiang Lin; Shenghao Qiu; Ziqi Yu; Liang You; Long Xin; Xiaoyang Sun; Jie Xu 007; Zheng Wang 001 (ICDCS, 2022)

STRONGHOLD: Fast and Affordable Billion-Scale Deep Learning Model Training. - Xiaoyang Sun; Wei Wang 225; Shenghao Qiu; Renyu Yang; Songfang Huang; Jie Xu 007; Zheng Wang 001 (SC, 2022)

Enhancing High-dimensional Bayesian Optimization by Optimizing the Acquisition Function Maximizer Initialization. - Jiayu Zhao; Renyu Yang; Shenghao Qiu; Zheng Wang 001 (CoRR, 2023)

GraphCube: Interconnection Hierarchy-aware Graph Processing. - Xinbiao Gan; Guang Wu; Shenghao Qiu; Feng Xiong; Jiaqi Si; Jianbin Fang; Dezun Dong; Chunye Gong; Tiejun Li; Zheng Wang 001 (PPoPP, 2024)

Unleashing the Potential of Acquisition Functions in High-Dimensional Bayesian Optimization. - Jiayu Zhao; Renyu Yang; Shenghao Qiu; Zheng Wang 001 (Trans. Mach. Learn. Res., 2024)

Accelerating Tensor-Train Decomposition on Graph Neural Networks. - Shenghao Qiu; Chunwei Xia; Zheng Wang 001 (IPDPS, 2025)