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Jingwei Sun 0001
Person information
- affiliation: University of Science and Technology of China, Hefei, China
Other persons with the same name
- Jingwei Sun — disambiguation page
- Jingwei Sun 0002 — Duke University, Durham, NC, USA
- Jingwei Sun 0003 — Tianjin Normal University, Tianjin, China
- Jingwei Sun 0004 — Qiqihar University, Qiqihar, China
- Jingwei Sun 0005 — Lenovo Research, Beijing, China
- Jingwei Sun 0006 — PetroChina Jidong Oilfield Company, Tangshan, China
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2020 – today
- 2024
- [j5]Hao Sun, Li Shen, Qihuang Zhong, Liang Ding, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao:
AdaSAM: Boosting sharpness-aware minimization with adaptive learning rate and momentum for training deep neural networks. Neural Networks 169: 506-519 (2024) - [c15]Jingwen Sun, Yu He, Yiyu Xu, Jingwei Sun, Guangzhong Sun:
A Learning-path based Supervised Method for Concept Prerequisite Relations Extraction in Educational Data. CIKM 2024: 2168-2177 - [c14]Zechun Zhou, Jingwei Sun, Hengquan Mei, Peng Sun, Guangzhong Sun:
DProbe: Profiling and Predicting Multi-tenant Deep Learning Workloads for GPU Resource Scaling. Euro-Par (1) 2024: 239-253 - [c13]Zhengding Hu, Jingwei Sun, Zhongyang Li, Guangzhong Sun:
PckGNN: Optimizing Aggregation Operators with Packing Strategies in Graph Neural Networks. IPDPS 2024: 2-13 - 2023
- [c12]Zechun Zhou, Jingwei Sun, Guangzhong Sun:
Automated HPC Workload Generation Combining Statistical Modeling and Autoregressive Analysis. Bench 2023: 153-170 - [c11]Hengquan Mei, Huaizhi Qu, Jingwei Sun, Yanjie Gao, Haoxiang Lin, Guangzhong Sun:
GPU Occupancy Prediction of Deep Learning Models Using Graph Neural Network. CLUSTER 2023: 318-329 - [c10]Junqing Lin, Honghe Zhang, Xiaolong Shi, Jingwei Sun, Xianzhi Yu, Jun Yao, Guangzhong Sun:
EC-SpMM: Efficient Compilation of SpMM Kernel on GPUs. ICPP 2023: 21-30 - [c9]Tao Yan, Qingguo Xu, Jiyu Luo, Jingwei Sun, Guangzhong Sun:
Scalable Tracing of MPI Events and Performance Metrics. IPDPS Workshops 2023: 714-723 - [i4]Tao Yan, Qingguo Xu, Jiyu Luo, Jingwei Sun, Guangzhong Sun:
Synthesizing Proxy Applications for MPI Programs. CoRR abs/2301.06062 (2023) - [i3]Hao Sun, Li Shen, Qihuang Zhong, Liang Ding, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao:
AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks. CoRR abs/2303.00565 (2023) - [i2]Hao Sun, Li Shen, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao:
FedLALR: Client-Specific Adaptive Learning Rates Achieve Linear Speedup for Non-IID Data. CoRR abs/2309.09719 (2023) - 2022
- [j4]Yunzhuo Wang, Jianfeng Li, Liangying Zhou, Jingwei Sun, Guangzhong Sun:
Multi-Net strategy: Accelerating physics-informed neural networks for solving partial differential equations. Softw. Pract. Exp. 52(12): 2513-2536 (2022) - [j3]Jingwei Sun, Tao Yan, Hao Sun, Huancheng Lin, Guangzhong Sun:
Lossy Compression of Communication Traces Using Recurrent Neural Networks. IEEE Trans. Parallel Distributed Syst. 33(11): 3106-3116 (2022) - [c8]Wenbo Zhang, Jingwei Sun, Guangzhong Sun:
Accelerating GNN Inference by Soft Channel Pruning. PAAP 2022: 1-6 - 2021
- [c7]Zhongtian Xu, Jingwei Sun, Yunjie Liu, Guangzhong Sun:
An Efficient Channel-level Pruning for CNNs without Fine-tuning. IJCNN 2021: 1-8 - [c6]Junwei Wu, Jingwei Sun, Hao Sun, Guangzhong Sun:
Performance Analysis of Graph Neural Network Frameworks. ISPASS 2021: 118-127 - 2020
- [j2]Jingwei Sun, Guangzhong Sun, Shiyan Zhan, Jiepeng Zhang, Yong Chen:
Automated Performance Modeling of HPC Applications Using Machine Learning. IEEE Trans. Computers 69(5): 749-763 (2020) - [c5]Jiepeng Zhang, Jingwei Sun, Wenju Zhou, Guangzhong Sun:
An Active Learning Method for Empirical Modeling in Performance Tuning. IPDPS 2020: 244-253 - [c4]Wenju Zhou, Jiepeng Zhang, Jingwei Sun, Guangzhong Sun:
Using Small-Scale History Data to Predict Large-Scale Performance of HPC Application. IPDPS Workshops 2020: 787-795 - [c3]Hao Sun, Yunzhuo Wang, Jingwei Sun, Guangzhong Sun:
Fast Training of POI Recommendation Models Using Gradient Compression. SpatialDI 2020: 72-86
2010 – 2019
- 2019
- [c2]Zihang Zhang, Jingwei Sun, Jiepeng Zhang, Yuze Qin, Guangzhong Sun:
Constructing Skeleton for Parallel Applications with Machine Learning Methods. ICPP Workshops 2019: 16:1-16:8 - 2017
- [c1]Jingwei Sun, Shiyan Zhan, Guangzhong Sun, Yong Chen:
Automated Performance Modeling Based on Runtime Feature Detection and Machine Learning. ISPA/IUCC 2017: 744-751 - 2016
- [j1]Jingwei Sun, Guangzhong Sun:
SPLZ: An efficient algorithm for single source shortest path problem using compression method. GeoInformatica 20(1): 1-18 (2016) - 2014
- [i1]Jingwei Sun, Guangzhong Sun:
SPLZ: An Efficient Algorithm for Single Source Shortest Path Problem Using Compression Method. CoRR abs/1408.2292 (2014)
Coauthor Index
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last updated on 2024-11-20 21:01 CET by the dblp team
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