Biography
Lifeng Yan is an Assistant Professor at the Hetao Institute of Mathematics and Interdisciplinary Sciences, Shenzhen. He received his B.Eng. and Ph.D. degrees in Software Engineering from Shandong University in 2021 and 2026, respectively. During his doctoral study, he was supervised by Prof. Weiguo Liu. His research focuses on high-performance computing software design and applications, covering large-scale bioinformatics data processing and parallel software optimization on domestic supercomputing platforms.
On the bioinformatics side, his work addresses performance bottlenecks in high-throughput sequencing data analysis, including FASTQ quality control, short-read alignment, BAM file manipulation, and variant calling, and has led to the development of several high-performance bioinformatics software tools. On the supercomputing side, he works on software porting and optimization for the new Sunway heterogeneous many-core architecture, with applications in sequencing data analysis, earth system models, and ocean numerical models. His research has been published in journals and conferences such as Genome Biology, TCBB, FGCS, Euro-Par, Bioinformatics, and BIBM. He also serves as a reviewer for journals including TPDS.
Research Interests
· High-performance computing and parallel software optimization
· Large-scale bioinformatics data processing
· GPU and heterogeneous parallel computing
· Scientific software optimization on domestic supercomputing platforms
Education
· Ph.D. / 2021.09–2026.06 Shandong University / Software Engineering
· B.Eng. / 2017.09–2021.06 Shandong University / Software Engineering
Honors and Awards
· Champion, PAC National Parallel Application Challenge, 2020, 2021, 2022
· Champion, CPC Domestic CPU Parallel Application Challenge, 2022
· First Prize, ASC Student Supercomputer Challenge, 2021
· Silver Medal, International Collegiate Programming Contest, 2019, 2020
Publications
Yan L, Zhao Z, Yin Z, et al. RabbitBAM: Accelerating BAM File Manipulation on Multi-Core Platforms. IEEE Transactions on Computational Biology and Bioinformatics, 2025.
Yan L, Yin Z, Zhang T, et al. SWQC: Efficient sequencing data quality control on the next-generation Sunway platform. Future Generation Computer Systems, 2025.
Yan L, Yin Z, Zhang T, et al. SWBWA: A Highly Efficient NGS Aligner on the New Sunway Architecture. European Conference on Parallel Processing, 2025.
Yan L, Yin Z, Li J, et al. RabbitSAlign: Accelerating Short-Read Alignment for CPU-GPU Heterogeneous Platforms. International Symposium on Bioinformatics Research and Applications, 2024.
Yan L, Yin Z, Zhang H, et al. RabbitQCPlus 2.0: More efficient and versatile quality control for sequencing data. Methods, 2023.
Xu X, Yin Z, Yan L, et al. RabbitTClust: enabling fast clustering analysis of millions of bacteria genomes with MinHash sketches. Genome Biology, 2023, 24:121.
Yan L, Yin Z, Zhang H, et al. RabbitQCPlus: More Efficient Quality Control for Sequencing Data. IEEE International Conference on Bioinformatics and Biomedicine, 2022.