Adaptive compressed sensing for acceleration data transmission in human motion capture. - Shaoshuai Zhang; Renjian Feng; Yinfeng Wu; Ning Yu 002 (CISP-BMEI, 2017)

xSVM: Scalable Distributed Kernel Support Vector Machine Training. - Ruchi Shah; Shaoshuai Zhang; Ying Lin; Panruo Wu (IEEE BigData, 2019)

High Accuracy Low Precision QR Factorization and Least Square Solver on GPU with TensorCore. - Shaoshuai Zhang; Panruo Wu (CoRR, 2019)

High Accuracy Matrix Computations on Neural Engines: A Study of QR Factorization and its Applications. - Shaoshuai Zhang; Elaheh Baharlouei; Panruo Wu (HPDC, 2020)

TensorSVM: accelerating kernel machines with tensor engine. - Shaoshuai Zhang; Ruchi Shah; Panruo Wu (ICS, 2020)

Basic Linear Algebra Operations on TensorCore GPU. - Shaoshuai Zhang; Vivek Karihaloo; Panruo Wu (ScalA@SC, 2020)

Recursion Brings Speedup to Out-of-Core TensorCore-based Linear Algebra Algorithms: A Case Study of Classic Gram-Schmidt QR Factorization. - Shaoshuai Zhang; Panruo Wu (ICPP, 2021)

Interpreting Convolutional Neural Networks via Layer-Wise Relevance Propagation. - Wohuan Jia; Shaoshuai Zhang; Yue Jiang; Li Xu (ICAIS (1), 2022)

Fast Symmetric Eigenvalue Decomposition via WY Representation on Tensor Core. - Shaoshuai Zhang; Ruchi Shah; Hiroyuki Ootomo; Rio Yokota; Panruo Wu (PPoPP, 2023)

Extracting the Potential of Emerging Hardware Accelerators for Symmetric Eigenvalue Decomposition. - Hansheng Wang; Lu Shi; Zhekai Duan; Panruo Wu; Liwei Guo; Shaoshuai Zhang (CoRR, 2024)

Improving Tridiagonalization Performance on GPU Architectures. - Hansheng Wang; Zhekai Duan; Zitian Zhao; Siqi Wu; Saiqi Zheng; Qiao Li 001; Xu Jiang 004; Shaoshuai Zhang (PPoPP, 2025)

High Performance Householder QR Factorization on Emerging GPU Architectures Using Tensor Cores. - Yuhan Leng; Gaoyuan Zou; Hansheng Wang; Panruo Wu; Shaoshuai Zhang (IEEE Trans. Parallel Distributed Syst., 2025)