| 2026 | HPDC | Deterministic and Efficient Low Rank Approximation on GPUs. | Lu Shi, Weijie Shen, Ruiyi Zhan, Dajun Huang, Weiwei Xu, Shaoshuai Zhang |
| 2026 | ICS | Non-Delayed Cholesky Factorization. | Yuchen Luo, Hongyu Chen, Shaoshuai Zhang, Weifeng Liu |
| 2026 | PPoPP | Towards Singular Value Decomposition for Rank-Deficient Matrices: An Efficient and Accurate Algorithm on GPU Architectures. | Lu Shi, Weiwei Xu, Shaoshuai Zhang |
| 2025 | PPoPP | Improving Tridiagonalization Performance on GPU Architectures. | Hansheng Wang, Zhekai Duan, Zitian Zhao, Siqi Wu, Saiqi Zheng, Qiao Li, Xu Jiang, Shaoshuai Zhang |
| 2025 | SC | Rethinking Back Transformation in 2-stage Eigenvalue Decomposition on Heterogeneous Architectures. | Hansheng Wang, Dajun Huang, Gaoyuan Zou, Lu Shi, Xu Jiang, Xi Wu, Hancong Duan, Shaoshuai Zhang |
| 2025 | RTSS | On the Scalability and Efficiency of Intra-Process Communication in Ros 2. | Xiantong Luo, Xu Jiang, Yichen Liu, Nan Guan, Yue Tang, Shaoshuai Zhang |
| 2023 | PPoPP | Fast Symmetric Eigenvalue Decomposition via WY Representation on Tensor Core. | Shaoshuai Zhang, Ruchi Shah, Hiroyuki Ootomo, Rio Yokota, Panruo Wu |
| 2021 | ICPP | 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 |
| 2020 | HPDC | High Accuracy Matrix Computations on Neural Engines: A Study of QR Factorization and its Applications. | Shaoshuai Zhang, Elaheh Baharlouei, Panruo Wu |
| 2020 | ICS | TensorSVM: accelerating kernel machines with tensor engine. | Shaoshuai Zhang, Ruchi Shah, Panruo Wu |