SPLZ: An efficient algorithm for single source shortest path problem using compression method. - Jingwei Sun 001; Guangzhong Sun (GeoInformatica, 2016)

Automated Performance Modeling Based on Runtime Feature Detection and Machine Learning. - Jingwei Sun 001; Shiyan Zhan; Guangzhong Sun; Yong Chen 001 (ISPA/IUCC, 2017)

Constructing Skeleton for Parallel Applications with Machine Learning Methods. - Zihang Zhang; Jingwei Sun 001; Jiepeng Zhang; Yuze Qin; Guangzhong Sun (ICPP Workshops, 2019)

An Active Learning Method for Empirical Modeling in Performance Tuning. - Jiepeng Zhang; Jingwei Sun 001; Wenju Zhou; Guangzhong Sun (IPDPS, 2020)

Using Small-Scale History Data to Predict Large-Scale Performance of HPC Application. - Wenju Zhou; Jiepeng Zhang; Jingwei Sun 001; Guangzhong Sun (IPDPS Workshops, 2020)

Fast Training of POI Recommendation Models Using Gradient Compression. - Hao Sun 019; Yunzhuo Wang; Jingwei Sun 001; Guangzhong Sun (SpatialDI, 2020)

Automated Performance Modeling of HPC Applications Using Machine Learning. - Jingwei Sun 001; Guangzhong Sun; Shiyan Zhan; Jiepeng Zhang; Yong Chen 001 (IEEE Trans. Computers, 2020)

An Efficient Channel-level Pruning for CNNs without Fine-tuning. - Zhongtian Xu; Jingwei Sun 001; Yunjie Liu; Guangzhong Sun (IJCNN, 2021)

Performance Analysis of Graph Neural Network Frameworks. - Junwei Wu; Jingwei Sun 001; Hao Sun 019; Guangzhong Sun (ISPASS, 2021)

Accelerating GNN Inference by Soft Channel Pruning. - Wenbo Zhang; Jingwei Sun 001; Guangzhong Sun (PAAP, 2022)

Multi-Net strategy: Accelerating physics-informed neural networks for solving partial differential equations. - Yunzhuo Wang; Jianfeng Li 005; Liangying Zhou; Jingwei Sun 001; Guangzhong Sun (Softw. Pract. Exp., 2022)

Lossy Compression of Communication Traces Using Recurrent Neural Networks. - Jingwei Sun 001; Tao Yan; Hao Sun 019; Huancheng Lin; Guangzhong Sun (IEEE Trans. Parallel Distributed Syst., 2022)

Automated HPC Workload Generation Combining Statistical Modeling and Autoregressive Analysis. - Zechun Zhou; Jingwei Sun 001; Guangzhong Sun (Bench, 2023)

GPU Occupancy Prediction of Deep Learning Models Using Graph Neural Network. - Hengquan Mei; Huaizhi Qu; Jingwei Sun 001; Yanjie Gao; Haoxiang Lin; Guangzhong Sun (CLUSTER, 2023)

EC-SpMM: Efficient Compilation of SpMM Kernel on GPUs. - Junqing Lin; Honghe Zhang; Xiaolong Shi; Jingwei Sun 001; Xianzhi Yu; Jun Yao; Guangzhong Sun (ICPP, 2023)

Scalable Tracing of MPI Events and Performance Metrics. - Tao Yan; Qingguo Xu; Jiyu Luo; Jingwei Sun 001; Guangzhong Sun (IPDPS Workshops, 2023)

Synthesizing Proxy Applications for MPI Programs. - Tao Yan; Qingguo Xu; Jiyu Luo; Jingwei Sun 001; Guangzhong Sun (CoRR, 2023)

FedLALR: Client-Specific Adaptive Learning Rates Achieve Linear Speedup for Non-IID Data. - Hao Sun 019; Li Shen 008; Shixiang Chen; Jingwei Sun 001; Jing Li 047; Guangzhong Sun; Dacheng Tao (CoRR, 2023)

DNN-Schedule: A Predictive Scheduler for Minimizing Interference of Co-located DNN Workload. - Jiamin Lu; Hengquan Mei; Jingwei Sun 001; Guangzhong Sun (Bench, 2024)

A Learning-path based Supervised Method for Concept Prerequisite Relations Extraction in Educational Data. - Jingwen Sun; Yu He; Yiyu Xu; Jingwei Sun 001; Guangzhong Sun (CIKM, 2024)

Siesta: Synthesizing Proxy Applications for MPI Programs. - Jiyu Luo; Tao Yan; Qingguo Xu; Jingwei Sun 001; Guangzhong Sun (CLUSTER, 2024)

DProbe: Profiling and Predicting Multi-tenant Deep Learning Workloads for GPU Resource Scaling. - Zechun Zhou; Jingwei Sun 001; Hengquan Mei; Peng Sun; Guangzhong Sun (Euro-Par (1), 2024)

PckGNN: Optimizing Aggregation Operators with Packing Strategies in Graph Neural Networks. - Zhengding Hu; Jingwei Sun 001; Zhongyang Li; Guangzhong Sun (IPDPS, 2024)

Structured Pruning for Large Language Models Using Coupled Components Elimination and Minor Fine-tuning. - Honghe Zhang; Xiaolong Shi; Jingwei Sun 001; Guangzhong Sun (NAACL-HLT (Findings), 2024)

AdaSAM: Boosting sharpness-aware minimization with adaptive learning rate and momentum for training deep neural networks. - Hao Sun 019; Li Shen 008; Qihuang Zhong; Liang Ding 006; Shixiang Chen; Jingwei Sun 001; Jing Li 047; Guangzhong Sun; Dacheng Tao (Neural Networks, 2024)

AG-SpTRSV: An Automatic Framework to Optimize Sparse Triangular Solve on GPUs. - Zhengding Hu; Jingwei Sun 001; Zhongyang Li; Guangzhong Sun (ACM Trans. Archit. Code Optim., 2024)

LO-SpMM: Low-cost Search for High-performance SpMM Kernels on GPUs. - Junqing Lin; Jingwei Sun 001; Xiaolong Shi; Honghe Zhang; Xianzhi Yu; Xinzhi Wang; Jun Yao; Guangzhong Sun (ACM Trans. Archit. Code Optim., 2024)

Introducing Graph Context into Language Models through Parameter-Efficient Fine-Tuning for Lexical Relation Mining. - Jingwen Sun; Zhiyi Tian; Yu He; Jingwei Sun 001; Guangzhong Sun (ACL (1), 2025)

GNNPilot: A Holistic Framework for High-Performance Graph Neural Network Computations on GPUs. - Zhengding Hu; Jingwei Sun 001; Guangzhong Sun (ACM Trans. Archit. Code Optim., 2025)

Toward Efficient SpMV in Sparse LLMs via Block Extraction and Compressed Storage. - Junqing Lin; Jingwei Sun 001; Mingge Lu; Guangzhong Sun (CoRR, 2025)