袁良，中国科学院计算技术研究所，副研究员。主要研究大规模并行应用优化、并行算法和并行计算模型。负责基金委面上项目和大科学装置项目，相关成果发表在SC、TPDS、TACO、IPDPS上，出版并行计算模型专著一本。

Kun Li, Liang Yuan, Yunquan Zhang, Yue Yue. Reducing Redundancy in Data Organization and Arithmetic Calculation for Stencil Computations. SC 2021. (CCF A)
Liang Yuan, Hang Cao, Yunquan Zhang, Kun Li, Yue Yue, Pengqi Lu. Temporal Vectorization for Stencils. SC 2021. (CCF A)
Kun Li, Liang Yuan, Yunquan Zhang, Gongwei Chen. An Accurate and Efficient Large-scale Regression Method through Best Friend Clustering. TPDS. Accepted. (CCF A)
Kun Li, Liang Yuan, Yunquan Zhang, Yue Yue, Hang Cao. An Efficient Vectorization Scheme for Stencil Computation. IPDPS 2022.(CCF B)
Zhihao Li, Haipeng Jia, Yunquan Zhang, Tun Chen, Liang Yuan, Luning Cao, and Xiao Wang. Automatic Generation of High-Performance FFT Kernels on Arm and x86 CPUs. IEEE TPDS 2020. (CCF A)
Hang Cao, Liang Yuan, He Zhang, Baodong Wu, Shigang Li, Pengqi Lu, Yunquan Zhang, Yongjun Xu, and Minghua Zhang. A Highly Efficient Dynamical Core of Atmospheric General Circulation Model based on Leap-Format. IPDPS 2020 (CCF B)
Liang Yuan, Chen Ding, Wesley Smith, Peter Denning, and Yunquan Zhang. A relational theory of locality. ACM Trans. Archit. Code Optim., 16(3):33:1– 33:26, August 2019.
Liang Yuan, Shan Huang, Yunquan Zhang, and Hang Cao. Tessellating star stencils. In Proceedings of the 48th International Conference on Parallel Processing, ICPP 2019, pages 43:1–43:10, New York, NY, USA, 2019. ACM.
Liang Yuan, Yunquan Zhang, Peng Guo, Shan Huang，Tessellating Stencils，SC 2017, Colorado Convention Center，November 12-17, 2017.

国家自然科学基金面上项目，62072431，一种新型Stencil并行算法研究与优化实现,2021/01-2024/12，56万，在研，主持
国家自然科学基金青年科学基金项目，61402441，众核处理器上并行稠密矩阵计算关键技术研究，2015/01-2017/12，已结题，主持
国家自然科学基金重点项目，61432018，面向气候和湍流模拟的百万量级异构众核可扩展并行算法与优化方法，2015/01-2019/12，300万，已结题，参加
国家自然科学基金重点项目，61133005，大规模异构并行系统的调度理论与方法，2012/01-2016/12，280万，已结题，参加
国家自然科学基金面上项目，61272136，众核体系架构并行计算模型与算法自适应调优框架研究，2013/01-2016/12，82万，已结题，参加