TripletRun: A Dataflow Runtime Simulator and Its Performance Model. - Han Lin; Hong An; Mingfan Li; Zeng Lin; Junshi Chen; Wenting Han (HPCC/SmartCity/DSS, 2019)

swFLOW: A Dataflow Deep Learning Framework on Sunway TaihuLight Supercomputer. - Han Lin; Zeng Lin; Jose Monsalve Diaz; Mingfan Li; Hong An; Guang R. Gao (HPCC/SmartCity/DSS, 2019)

Gdarts: A GPU-Based Runtime System for Dataflow Task Programming on Dependency Applications. - Mingfan Li; Qingcai Jiang; Han Lin; Hong An (ISPA/BDCloud/SocialCom/SustainCom, 2019)

Improving the Performance of Distributed MXNet with RDMA. - Mingfan Li; Ke Wen; Han Lin; Xu Jin; Zheng Wu; Hong An; Mengxian Chi (Int. J. Parallel Program., 2019)

Degree-of-Node Task Scheduling of Fine-Grained Parallel Programs on Heterogeneous Systems. - Han Lin; Mingfan Li; Chengfan Jia; Junnan Liu; Hong An (J. Comput. Sci. Technol., 2019)

Optimizing Astrophysical Simulation Software on Sunway Heterogeneous Manycore Architecture. - Tao Fang; Junshi Chen; Mingfan Li; Ziyu Zhang 003; Hong An; Wenting Han (HPCC/DSS/SmartCity, 2020)

Runtime Adaptive Matrix Multiplication for the SW26010 Many-Core Processor. - Zheng Wu; Mingfan Li; Mengxian Chi; Le Xu; Hong An (IEEE Access, 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)

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)

Machine Learning-enabled Performance Model for DNN Applications and AI Accelerator. - Ruohan Wu; Mingfan Li; Hanxi Li; Tianxiang Chen; Xinghui Tian; Xiaoxin Xu; Bin Zhou; Junshi Chen; Hong An (HPCC/DSS/SmartCity/DependSys, 2022)

AI for Quantum Mechanics: High Performance Quantum Many-Body Simulations via Deep Learning. - Xuncheng Zhao; Mingfan Li; Qian Xiao; Junshi Chen; Fei Wang; Li Shen; Meijia Zhao; Wenhao Wu; Hong An; Lixin He; Xiao Liang (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)

Deep learning representations for quantum many-body systems on heterogeneous hardware. - Xiao Liang; Mingfan Li; Qian Xiao; Junshi Chen; Chao Yang; Hong An; Lixin He (Mach. Learn. Sci. Technol., 2023)

Hybrid 3D Reconstruction of Indoor Scenes Integrating Object Recognition. - Mingfan Li; Minglei Li 003; Li Xu; Mingqiang Wei (Remote. Sens., 2024)

29-Billion Atoms Molecular Dynamics Simulation With Ab Initio Accuracy on 35 Million Cores of New Sunway Supercomputer. - Xun Wang 010; Xiangyu Meng 005; Zhuoqiang Guo; Mingzhen Li 001; Lijun Liu; Mingfan Li; Qian Xiao; Tong Zhao; Ninghui Sun; Guangming Tan; Weile Jia (IEEE Trans. Computers, 2025)