This is Jianhua Gao’s personal homepage.

A short introduction

I am currently a postdoctoral researcher at the School of Artificial Intelligence at Beijing Normal University and collaborate with Prof. HuangHua and Weixing Ji. I received the Ph.D. degree from the School of Computer Science and Technology at Beijing Institute of Technology in June 2023, under the supervisor of Prof. Feng Shi and Weixing Ji.

Research interest

Parallel and high performance computing

• Optimization on sparse matrix computation, especially sparse matrix-vector multiplication (SpMV) and general sparse matrix-matrix multiplication (SpGEMM)
• Performance optimization on GPU

Selected publications

Jianhua Gao, Weixing Ji, Fangli Chang, Shiyu Han, Bingxin Wei, Zeming Liu, and Yizhuo Wang. A Systematic Survey of General Sparse Matrix-matrix Multiplication. ACM Computing Surveys (CSUR, SCI一区), vol. 55, no. 12, Article 244, Dec. 2023, pp. 1-36. doi: 10.1145/3571157

Jianhua Gao, Weixing Ji, Zhaonian Tan, Yizhuo Wang and Feng Shi, TaiChi: A Hybrid Compression Format for Binary Sparse Matrix-Vector Multiplication on GPU, in IEEE Transactions on Parallel and Distributed Systems (TPDS, CCF A类), vol. 33, no. 12, pp. 3732-3745, 1 Dec. 2022, doi: 10.1109/TPDS.2022.3170501

Jianhua Gao, Weixing Ji, Jie Liu, Senhao Shao, Yizhuo Wang and Feng Shi, AMF-CSR: Adaptive Multi-Row Folding of CSR for SpMV on GPU, in IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS, CCF C类), 2021, pp. 418-425, doi: 10.1109/ICPADS53394.2021.00058.

Jianhua Gao, Weixing Ji, Lulu Zhang, Anmin Li, Yizhuo Wang, Zongyu Zhang, Cube-based incremental outlier detection for streaming computing, in Information Sciences (SCI一区), vol. 517, pp. 361-376, May 2020, doi: 10.1016/j.ins.2019.12.060.

Jianhua Gao, Weixing Ji, Lulu Zhang, Senhao Shao, Yizhuo Wang and Feng Shi, Fast Piecewise Polynomial Fitting of Time-Series Data for Streaming Computing, in IEEE Access, vol. 8, pp. 43764-43775, 2020, doi: 10.1109/ACCESS.2020.2976494.

Zhaonian Tan, Weixing Ji, Jianhua Gao, Yueyan Zhao, Akrem Benatia, Yizhuo Wang, Feng Shi, MMSparse: 2D partitioning of sparse matrix based on mathematical morphology, in Future Generation Computer Systems (FGCS, SCI一区), vol. 108, pp. 521-532, July 2020, doi: 10.1016/j.future.2020.02.076.

For more information

More info about me can be found in CV.