Jingwei Sun

According to our database, Jingwei Sun authored at least 24 papers between 2016 and 2024.

Collaborative distances:

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

2024

AdaSAM: Boosting sharpness-aware minimization with adaptive learning rate and momentum for training deep neural networks.

Hao Sun, Li Shen, Qihuang Zhong, Liang Ding, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao

Neural Networks, January, 2024

Structured Pruning for Large Language Models Using Coupled Components Elimination and Minor Fine-tuning.

Honghe Zhang, Xiaolong Shi, Jingwei Sun, Guangzhong Sun

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

PckGNN: Optimizing Aggregation Operators with Packing Strategies in Graph Neural Networks.

Zhengding Hu, Jingwei Sun, Zhongyang Li, Guangzhong Sun

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

DProbe: Profiling and Predicting Multi-tenant Deep Learning Workloads for GPU Resource Scaling.

Zechun Zhou, Jingwei Sun, Hengquan Mei, Peng Sun, Guangzhong Sun

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

Siesta: Synthesizing Proxy Applications for MPI Programs.

Jiyu Luo, Tao Yan, Qingguo Xu, Jingwei Sun, Guangzhong Sun

Proceedings of the IEEE International Conference on Cluster Computing, 2024

A Learning-path based Supervised Method for Concept Prerequisite Relations Extraction in Educational Data.

Jingwen Sun, Yu He, Yiyu Xu, Jingwei Sun, Guangzhong Sun

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

FedLALR: Client-Specific Adaptive Learning Rates Achieve Linear Speedup for Non-IID Data.

Hao Sun, Li Shen, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao

CoRR, 2023

Synthesizing Proxy Applications for MPI Programs.

Tao Yan, Qingguo Xu, Jiyu Luo, Jingwei Sun, Guangzhong Sun

CoRR, 2023

Scalable Tracing of MPI Events and Performance Metrics.

Tao Yan, Qingguo Xu, Jiyu Luo, Jingwei Sun, Guangzhong Sun

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

EC-SpMM: Efficient Compilation of SpMM Kernel on GPUs.

Junqing Lin, Honghe Zhang, Xiaolong Shi, Jingwei Sun, Xianzhi Yu, Jun Yao, Guangzhong Sun

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

GPU Occupancy Prediction of Deep Learning Models Using Graph Neural Network.

Hengquan Mei, Huaizhi Qu, Jingwei Sun, Yanjie Gao, Haoxiang Lin, Guangzhong Sun

Proceedings of the IEEE International Conference on Cluster Computing, 2023

Automated HPC Workload Generation Combining Statistical Modeling and Autoregressive Analysis.

Zechun Zhou, Jingwei Sun, Guangzhong Sun

Proceedings of the Benchmarking, Measuring, and Optimizing, 2023

2022

Lossy Compression of Communication Traces Using Recurrent Neural Networks.

Jingwei Sun, Tao Yan, Hao Sun, Huancheng Lin, Guangzhong Sun

IEEE Trans. Parallel Distributed Syst., 2022

Multi-Net strategy: Accelerating physics-informed neural networks for solving partial differential equations.

Yunzhuo Wang, Jianfeng Li, Liangying Zhou, Jingwei Sun, Guangzhong Sun

Softw. Pract. Exp., 2022

Accelerating GNN Inference by Soft Channel Pruning.

Wenbo Zhang, Jingwei Sun, Guangzhong Sun

Proceedings of the 13th IEEE International Symposium on Parallel Architectures, 2022

2021

Performance Analysis of Graph Neural Network Frameworks.

Junwei Wu, Jingwei Sun, Hao Sun, Guangzhong Sun

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2021

An Efficient Channel-level Pruning for CNNs without Fine-tuning.

Zhongtian Xu, Jingwei Sun, Yunjie Liu, Guangzhong Sun

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Automated Performance Modeling of HPC Applications Using Machine Learning.

Jingwei Sun, Guangzhong Sun, Shiyan Zhan, Jiepeng Zhang, Yong Chen

IEEE Trans. Computers, 2020

Fast Training of POI Recommendation Models Using Gradient Compression.

Hao Sun, Yunzhuo Wang, Jingwei Sun, Guangzhong Sun

Proceedings of the Spatial Data and Intelligence - First International Conference, 2020

Using Small-Scale History Data to Predict Large-Scale Performance of HPC Application.

Wenju Zhou, Jiepeng Zhang, Jingwei Sun, Guangzhong Sun

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

An Active Learning Method for Empirical Modeling in Performance Tuning.

Jiepeng Zhang, Jingwei Sun, Wenju Zhou, Guangzhong Sun

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

2019

Constructing Skeleton for Parallel Applications with Machine Learning Methods.

Zihang Zhang, Jingwei Sun, Jiepeng Zhang, Yuze Qin, Guangzhong Sun

Proceedings of the 48th International Conference on Parallel Processing, 2019

2017

Automated Performance Modeling Based on Runtime Feature Detection and Machine Learning.

Jingwei Sun, Shiyan Zhan, Guangzhong Sun, Yong Chen

Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

2016

SPLZ: An efficient algorithm for single source shortest path problem using compression method.

Jingwei Sun, Guangzhong Sun

GeoInformatica, 2016