Mingzhen Li

According to our database, Mingzhen Li authored at least 40 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

JanusPipe: Efficient Pipeline Parallel Training for Machine Learning Interatomic Potentials.

Hongyu Wang, Weijian Liu, Hongtao Xu, Yan Wang, Mingzhen Li, Weile Jia, Guangming Tan

CoRR, May, 2026

Breaking the Training Barrier of Billion-Parameter Universal Machine Learning Interatomic Potentials.

Yuanchang Zhou, Hongyu Wang, Yiming Du, Yan Wang, Mingzhen Li, Siyu Hu, Xiangyu Zhang, Weijian Liu, Chen Wang, Zhuoqiang Guo, Long Wang, Jingde Bu, Yutong Lu, Guangming Tan, Weile Jia

CoRR, April, 2026

Efficient large-scale sparse LU factorization for fast radio frequency circuit simulation.

Guofeng Feng, Hongyu Wang, Zhuoqiang Guo, Mingzhen Li, Tong Zhao, Zhou Jin, Weile Jia, Guangming Tan, Ninghui Sun

Int. J. High Perform. Comput. Appl., 2026

2025

Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku.

Hongtao Xu, Zibo Wu, Mingzhen Li, Weile Jia

CoRR, June, 2025

29-Billion Atoms Molecular Dynamics Simulation With Ab Initio Accuracy on 35 Million Cores of New Sunway Supercomputer.

Xun Wang, Xiangyu Meng, Zhuoqiang Guo, Mingzhen Li, Lijun Liu, Mingfan Li, Qian Xiao, Tong Zhao, Ninghui Sun, Guangming Tan, Weile Jia

IEEE Trans. Computers, May, 2025

Scaling Neural-Network-Based Molecular Dynamics with Long-Range Electrostatic Interactions to 51 Nanoseconds per Day.

Jianxiong Li, Beining Zhang, Mingzhen Li, Siyu Hu, Jinzhe Zeng, Lijun Liu, Guojun Yuan, Zhan Wang, Guangming Tan, Weile Jia

CoRR, April, 2025

An interpretable DeePMD-kit performance model for emerging supercomputers.

Xiangyu Meng, Xun Wang, Mingzhen Li, Guangming Tan, Weile Jia

CCF Trans. High Perform. Comput., April, 2025

Scaling Neural-Network-Based Molecular Dynamics with Long-Range Electrostatic Interactions to 51 Nanoseconds per Day.

Jianxiong Li, Beining Zhang, Mingzhen Li, Siyu Hu, Jinzhe Zeng, Lijun Liu, Guojun Yuan, Zhan Wang, Guangming Tan, Weile Jia

Dataset, April, 2025

Mario: Near Zero-cost Activation Checkpointing in Pipeline Parallelism.

Weijian Liu, Mingzhen Li, Guangming Tan, Weile Jia

Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2025

Skrull: Towards Efficient Long Context Fine-tuning through Dynamic Data Scheduling.

Hongtao Xu, Wenting Shen, Yuanxin Wei, Ang Wang, Guo Runfan, Tianxing Wang, Yong Li, Mingzhen Li, Weile Jia

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

INSPIRIT: Adaptive Priority-based Task Scheduling for Heterogeneous Hardware.

Yiqing Wang, Hailong Yang, Xiaoyan Liu, Xinyu Yang, Pengbo Wang, Xin You, Qingxiao Sun, Mingzhen Li, Yi Liu, Zhongzhi Luan, Depei Qian

Proceedings of the 2025 IEEE International Parallel and Distributed Processing Symposium, 2025

ESC: Effective Submanifold Convolution using Tensor Cores.

Xuezhu Wang, Hailong Yang, Xin You, Yufan Xu, Xiaoyan Liu, Siqi Wang, Kaige Zhang, Mingzhen Li, Zhongzhi Luan, Yi Liu, Depei Qian

Proceedings of the 54th International Conference on Parallel Processing, 2025

Efficient Long Context Fine-tuning with Chunk Flow.

Xiulong Yuan, Hongtao Xu, Wenting Shen, Ang Wang, Xiafei Qiu, Jie Zhang, Yuqiong Liu, Bowen Yu, Junyang Lin, Mingzhen Li, Weile Jia, Yong Li, Wei Lin

Proceedings of the Forty-second International Conference on Machine Learning, 2025

FastSpMM: Leveraging Tensor Cores for Sparse Matrix Multiplication.

Hongyu Wang, Mingzhen Li, Weile Jia, Hailong Yang, Guangming Tan

Proceedings of the 22nd ACM International Conference on Computing Frontiers, 2025

2024

Towards optimized tensor code generation for deep learning on sunway many-core processor.

Mingzhen Li, Changxi Liu, Jianjin Liao, Xuegui Zheng, Hailong Yang, Rujun Sun, Jun Xu, Lin Gan, Guangwen Yang, Zhongzhi Luan, Depei Qian

Frontiers Comput. Sci., April, 2024

ElasticBatch: A Learning-Augmented Elastic Scheduling System for Batch Inference on MIG.

Jiaxing Qi, Wencong Xiao, Mingzhen Li, Chaojie Yang, Yong Li, Wei Lin, Hailong Yang, Zhongzhi Luan, Depei Qian

IEEE Trans. Parallel Distributed Syst., 2024

Building a domain-specific compiler for emerging processors with a reusable approach.

Mingzhen Li, Yi Liu, Bangduo Chen, Hailong Yang, Zhongzhi Luan, Depei Qian

Sci. China Inf. Sci., 2024

Scaling Molecular Dynamics with ab initio Accuracy to 149 Nanoseconds per Day.

Jianxiong Li, Boyang Li, Zhuoqiang Guo, Mingzhen Li, Enji Li, Lijun Liu, Guojun Yuan, Zhan Wang, Guangming Tan, Weile Jia

Proceedings of the International Conference for High Performance Computing, 2024

Retrospection on the Performance Analysis Tools for Large-Scale HPC Programs.

Zhibo Xuan, Xin You, Hailong Yang, Mingzhen Li, Zhongzhi Luan, Yi Liu, Depei Qian

Proceedings of the 31st IEEE International Conference on High Performance Computing, 2024

Accelerating Large-Scale Sparse LU Factorization for RF Circuit Simulation.

Guofeng Feng, Hongyu Wang, Zhuoqiang Guo, Mingzhen Li, Tong Zhao, Zhou Jin, Weile Jia, Guangming Tan, Ninghui Sun

Proceedings of the Euro-Par 2024: Parallel Processing, 2024

2023

Adapting combined tiling to stencil optimizations on sunway processor.

Biao Sun, Mingzhen Li, Hailong Yang, Jun Xu, Zhongzhi Luan, Depei Qian

CCF Trans. High Perform. Comput., September, 2023

EasyScale: Elastic Training with Consistent Accuracy and Improved Utilization on GPUs.

Mingzhen Li, Wencong Xiao, Hailong Yang, Biao Sun, Hanyu Zhao, Shiru Ren, Zhongzhi Luan, Xianyan Jia, Yi Liu, Yong Li, Wei Lin, Depei Qian

Proceedings of the International Conference for High Performance Computing, 2023

Exploiting Input Tensor Dynamics in Activation Checkpointing for Efficient Training on GPU.

Jianjin Liao, Mingzhen Li, Hailong Yang, Qingxiao Sun, Biao Sun, Jiwei Hao, Tianyu Feng, Fengwei Yu, Shengdong Chen, Ye Tao, Zicheng Zhang, Zhongzhi Luan, Depei Qian

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Exploiting Subgraph Similarities for Efficient Auto-tuning of Tensor Programs.

Mingzhen Li, Hailong Yang, Shanjun Zhang, Fengwei Yu, Ruihao Gong, Yi Liu, Zhongzhi Luan, Depei Qian

Proceedings of the 52nd International Conference on Parallel Processing, 2023

2022

QoS-aware dynamic resource allocation with improved utilization and energy efficiency on GPU.

Qingxiao Sun, Liu Yi, Hailong Yang, Mingzhen Li, Zhongzhi Luan, Depei Qian

Parallel Comput., 2022

Mimose: An Input-Aware Checkpointing Planner for Efficient Training on GPU.

Jianjin Liao, Mingzhen Li, Qingxiao Sun, Jiwei Hao, Fengwei Yu, Shengdong Chen, Ye Tao, Zicheng Zhang, Hailong Yang, Zhongzhi Luan, Depei Qian

CoRR, 2022

EasyScale: Accuracy-consistent Elastic Training for Deep Learning.

Mingzhen Li, Wencong Xiao, Biao Sun, Hanyu Zhao, Hailong Yang, Shiru Ren, Zhongzhi Luan, Xianyan Jia, Yi Liu, Yong Li, Depei Qian, Wei Lin

CoRR, 2022

FamilySeer: Towards Optimized Tensor Codes by Exploiting Computation Subgraph Similarity.

Shanjun Zhang, Mingzhen Li, Hailong Yang, Yi Liu, Zhongzhi Luan, Depei Qian

CoRR, 2022

CoGNN: Efficient Scheduling for Concurrent GNN Training on GPUs.

Qingxiao Sun, Yi Liu, Hailong Yang, Ruizhe Zhang, Ming Dun, Mingzhen Li, Xiaoyan Liu, Wencong Xiao, Yong Li, Zhongzhi Luan, Depei Qian

Proceedings of the SC22: International Conference for High Performance Computing, 2022

Toward accelerated stencil computation by adapting tensor core unit on GPU.

Xiaoyan Liu, Yi Liu, Hailong Yang, Jianjin Liao, Mingzhen Li, Zhongzhi Luan, Depei Qian

Proceedings of the ICS '22: 2022 International Conference on Supercomputing, Virtual Event, June 28, 2022

2021

The Deep Learning Compiler: A Comprehensive Survey.

Mingzhen Li, Yi Liu, Xiaoyan Liu, Qingxiao Sun, Xin You, Hailong Yang, Zhongzhi Luan, Lin Gan, Guangwen Yang, Depei Qian

IEEE Trans. Parallel Distributed Syst., 2021

swMR: A Framework for Accelerating MapReduce Applications on Sunway Taihulight.

Xiaogang Zhong, Mingzhen Li, Hailong Yang, Yi Liu, Depei Qian

IEEE Trans. Emerg. Top. Comput., 2021

Automatic Code Generation and Optimization of Large-scale Stencil Computation on Many-core Processors.

Mingzhen Li, Yi Liu, Hailong Yang, Yongmin Hu, Qingxiao Sun, Bangduo Chen, Xin You, Xiaoyan Liu, Zhongzhi Luan, Depei Qian

Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

PriPro: Towards Effective Privacy Protection on Edge-Cloud System running DNN Inference.

Ruiyuan Gao, Hailong Yang, Shaohan Huang, Ming Dun, Mingzhen Li, Zerong Luan, Zhongzhi Luan, Depei Qian

Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2020

Accelerating Sparse Cholesky Factorization on Sunway Manycore Architecture.

Mingzhen Li, Yi Liu, Hailong Yang, Zhongzhi Luan, Lin Gan, Guangwen Yang, Depei Qian

IEEE Trans. Parallel Distributed Syst., 2020

The Deep Learning Compiler: A Comprehensive Survey.

Mingzhen Li, Yi Liu, Xiaoyan Liu, Qingxiao Sun, Xin You, Hailong Yang, Zhongzhi Luan, Depei Qian

CoRR, 2020

Real-Time Polyp Detection for Colonoscopy Video on CPU.

Xuetong Li, Rui Liu, Mingzhen Li, Yi Liu, Lianghui Jiang, Changhong Zhou

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

swRodinia: A Benchmark Suite for Exploiting Architecture Properties of Sunway Processor.

Bangduo Chen, Mingzhen Li, Hailong Yang, Zhongzhi Luan, Lin Gan, Guangwen Yang, Depei Qian

Proceedings of the Benchmarking, Measuring, and Optimizing, 2020

2018

Block-Checksum-Based Fault Tolerance for Matrix Multiplication on Large-Scale Parallel Systems.

Yanchao Zhu, Yi Liu, Mingzhen Li, Depei Qian

Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

Multi-role SpTRSV on Sunway Many-Core Architecture.

Mingzhen Li, Yi Liu, Hailong Yang, Zhongzhi Luan, Depei Qian

Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018