Solving Nonsmooth Interval Equations with Slopes. - Rongfen Lin; Hao Jiang 001; Lizhi Cheng (SYNASC, 2009)

Towards Highly Efficient DGEMM on the Emerging SW26010 Many-Core Processor. - Lijuan Jiang; Chao Yang 002; Yulong Ao; Wanwang Yin; Wenjing Ma; Qiao Sun; Fangfang Liu; Rongfen Lin; Peng Zhang (ICPP, 2017)

Compiler Optimizing for Power Efficiency of On-Chip Memory. - Wei Wu; Qi Zhu; Fei Wang; Rongfen Lin; Fengbin Qi (ACA, 2020)

Distributed deep learning system for cancerous region detection on Sunway TaihuLight. - Guofeng Lv; Mingfan Li; Hong An; Han Lin; Junshi Chen; Wenting Han; Qian Xiao; Fei Wang; Rongfen Lin (CCF Trans. High Perform. Comput., 2020)

TensorKMC: kinetic Monte Carlo simulation of 50 trillion atoms driven by deep learning on a new generation of Sunway supercomputer. - Honghui Shang; Xin Chen 023; Xingyu Gao 003; Rongfen Lin; Lifang Wang; Fang Li; Qian Xiao; Lei Xu 023; Qiang Sun; Leilei Zhu; Fei Wang; Yunquan Zhang; et al. (SC, 2021)

Extreme-scale ab initio quantum raman spectra simulations on the leadership HPC system in China. - Honghui Shang; Fang Li; Yunquan Zhang; Libo Zhang; You Fu; Yingxiang Gao; Yangjun Wu; Xiaohui Duan; Rongfen Lin; Xin Liu 081; Ying Liu 055; Dexun Chen (SC, 2021)

swFLOW: A large-scale distributed framework for deep learning on Sunway TaihuLight supercomputer. - Mingfan Li; Han Lin; Junshi Chen; Jose Monsalve Diaz; Qian Xiao; Rongfen Lin; Fei Wang; Guang R. Gao; Hong An (Inf. Sci., 2021)

Large-Scale Simulation of Quantum Computational Chemistry on a New Sunway Supercomputer. - Honghui Shang; Li Shen 001; Yi Fan; Zhiqian Xu 005; Chu Guo; Jie Liu 069; Wenhao Zhou; Huan Ma; Rongfen Lin; Yuling Yang; Fang Li; Zhuoya Wang; et al. (SC, 2022)

Bridging the Gap between Deep Learning and Frustrated Quantum Spin System for Extreme-Scale Simulations on New Generation of Sunway Supercomputer. - Mingfan Li; Junshi Chen; Qian Xiao; Fei Wang; Qingcai Jiang; Xuncheng Zhao; Rongfen Lin; Hong An; Xiao Liang; Lixin He (IEEE Trans. Parallel Distributed Syst., 2022)

Rapid simulations of atmospheric data assimilation of hourly-scale phenomena with modern neural networks. - Yiyuan Li; Xiting Ju; Yi Xiao; Qilong Jia; Yongxiao Zhou; Simeng Qian; Rongfen Lin; Bin Yang 043; Shupeng Shi; Xin Liu 081; Jie Gao; Zhen Wang; et al. (SC, 2023)

5 ExaFlop/s HPL-MxP Benchmark with Linear Scalability on the 40-Million-Core Sunway Supercomputer. - Rongfen Lin; Xinhui Yuan; Wei Xue 003; Wanwang Yin; Jienan Yao; Junda Shi; Qiang Sun; Chaobo Song; Fei Wang 096 (SC, 2023)

TensorMD: Scalable Tensor-Diagram based Machine Learning Interatomic Potential on Heterogeneous Many-Core Processors. - Xin Chen 023; Yucheng Ouyang; Xin Chen 023; Zhenchuan Chen; Rongfen Lin; Xingyu Gao 003; Lifang Wang; Fang Li; Yin Liu; Honghui Shang; Haifeng Song 003 (CoRR, 2023)

TensorMD: Molecular Dynamics Simulation with Ab Initio Accuracy of 50 Billion Atoms. - Yucheng Ouyang; Ying Liu 055; Honghui Shang; Zhenchuan Chen; Jiahao Shan; Huimin Cui; Xiaobing Feng 002; Xin Chen 023; Xingyu Gao 003; Lifang Wang; Haifeng Song 003; Xin Chen 023; et al. (PPoPP, 2025)