Short Bio

Haocheng Lian is a fourth-year Ph.D. student at China University of Petroleum-Beijing, supervised by Prof. Weifeng Liu. He received his B.S. degree in Computer Science and Technology from the same university in 2021. His research interests include high-performance computing, sparse matrix computation, and corresponding architecture design. Currently, his research focuses on accelerating sparse linear algebra (SpBLAS) kernels on CPUs and GPUs, as well as designing Domain-Specific Architectures (DSAs) for sparse computation. Notably, he has proposed Uni-STC, a unified sparse tensor core that can accelerate various SpBLAS kernels. He is a Student Member of IEEE.

Publications

• [HPCA '26] Haocheng Lian, Qiyue Zhang, Xinran Zhao, Meichen Dong, Yijie Nie, Zhengyi Zhao, Junzhong Shen, Wei Guo, Chun Huang, Bingcai Sui and Weifeng Liu. Uni-STC: Unified Sparse Tensor Core. 32nd IEEE International Symposium on High-Performance Computer Architecture. 2026. [PDF] [Slides] [DOI] [Bibtex] [Code]
• [CCF THPC] Yuechen Lu, Yuchen Luo, Haocheng Lian, Zhou Jin, Weifeng Liu. Implementing LU and Cholesky Factorizations on Artificial Intelligence Accelerators. CCF Transactions on High Performance Computing. 2021. [PDF] [DOI] [Bibtex] [Code]