Jingwei Sun - RankMe

39 papers A* 1A 4B 5C 2Journal 16Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	CommitMoE: Efficient Fallback-Free MoE Inference with Offloading Under GPU Memory Constraints. AAAI Han Li, Jingwei Sun, Junqing Lin, Guangzhong Sun
2026	J	`jnl`	GCL-Sampler: Discovering Kernel Similarity for Sampled GPU Simulation via Graph Contrastive Learning. CoRR Jiaqi Wang, Jingwei Sun, Jiyu Luo, Han Li, Guangzhong Sun
2026	J	`jnl`	RSH-SpMM: A Row-Structured Hybrid Kernel for Sparse Matrix-Matrix Multiplication on GPUs. CoRR Aiying Li, Jingwei Sun, Han Li, Wence Ji, Guangzhong Sun
2026	J	`jnl`	Token Pruning for In-Context Generation in Diffusion Transformers. CoRR Junqing Lin, Xingyu Zheng, Pei Cheng, Bin Fu, Jingwei Sun, Guangzhong Sun
2025	B	`conf`	A Fast Sparse Triangular Solve for Structured-grid Problems on Heterogeneous Processors. ICPP Zhengding Hu, Yi Zong, Jingwei Sun, Wei Xue, Guangzhong Sun
2025	A	`conf`	ConCo: Optimizing Compilation of Concurrent Tensor Programs on Shared GPU. ICS Jiamin Lu, Jingwei Sun, Yunlong Xu, Peng Sun, Guangzhong Sun
2025	J	`jnl`	GNNPilot: A Holistic Framework for High-Performance Graph Neural Network Computations on GPUs. ACM Trans. Archit. Code Optim. Zhengding Hu, Jingwei Sun, Guangzhong Sun
2025	—	`conf`	Introducing Graph Context into Language Models through Parameter-Efficient Fine-Tuning for Lexical Relation Mining. ACL (1) Jingwen Sun, Zhiyi Tian, Yu He, Jingwei Sun, Guangzhong Sun
2025	J	`jnl`	Toward Efficient SpMV in Sparse LLMs via Block Extraction and Compressed Storage. CoRR Junqing Lin, Jingwei Sun, Mingge Lu, Guangzhong Sun
2025	B	`conf`	WinRS: Accelerate Winograd Backward-Filter Convolution with Tiny Workspace. ICPP Zhiyi Zhang, Junshi Chen, Jingwei Sun, Pengfei Zhang, Zhuopin Xu, Jun Shi, Qi Wang
2024	A	`conf`	A Learning-path based Supervised Method for Concept Prerequisite Relations Extraction in Educational Data. CIKM Jingwen Sun, Yu He, Yiyu Xu, Jingwei Sun, Guangzhong Sun
2024	J	`jnl`	AG-SpTRSV: An Automatic Framework to Optimize Sparse Triangular Solve on GPUs. ACM Trans. Archit. Code Optim. Zhengding Hu, Jingwei Sun, Zhongyang Li, Guangzhong Sun
2024	J	`jnl`	AdaSAM: Boosting sharpness-aware minimization with adaptive learning rate and momentum for training deep neural networks. Neural Networks Hao Sun, Li Shen, Qihuang Zhong, Liang Ding, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao
2024	—	`conf`	DNN-Schedule: A Predictive Scheduler for Minimizing Interference of Co-located DNN Workload. Bench Jiamin Lu, Hengquan Mei, Jingwei Sun, Guangzhong Sun
2024	—	`conf`	DProbe: Profiling and Predicting Multi-tenant Deep Learning Workloads for GPU Resource Scaling. Euro-Par (1) Zechun Zhou, Jingwei Sun, Hengquan Mei, Peng Sun, Guangzhong Sun
2024	J	`jnl`	LO-SpMM: Low-cost Search for High-performance SpMM Kernels on GPUs. ACM Trans. Archit. Code Optim. Junqing Lin, Jingwei Sun, Xiaolong Shi, Honghe Zhang, Xianzhi Yu, Xinzhi Wang, Jun Yao, Guangzhong Sun
2024	A	`conf`	PckGNN: Optimizing Aggregation Operators with Packing Strategies in Graph Neural Networks. IPDPS Zhengding Hu, Jingwei Sun, Zhongyang Li, Guangzhong Sun
2024	C	`conf`	Siesta: Synthesizing Proxy Applications for MPI Programs. CLUSTER Jiyu Luo, Tao Yan, Qingguo Xu, Jingwei Sun, Guangzhong Sun
2024	—	`conf`	Structured Pruning for Large Language Models Using Coupled Components Elimination and Minor Fine-tuning. NAACL-HLT (Findings) Honghe Zhang, Xiaolong Shi, Jingwei Sun, Guangzhong Sun
2023	J	`jnl`	AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks. CoRR Hao Sun, Li Shen, Qihuang Zhong, Liang Ding, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao
2023	—	`conf`	Automated HPC Workload Generation Combining Statistical Modeling and Autoregressive Analysis. Bench Zechun Zhou, Jingwei Sun, Guangzhong Sun
2023	B	`conf`	EC-SpMM: Efficient Compilation of SpMM Kernel on GPUs. ICPP Junqing Lin, Honghe Zhang, Xiaolong Shi, Jingwei Sun, Xianzhi Yu, Jun Yao, Guangzhong Sun
2023	J	`jnl`	FedLALR: Client-Specific Adaptive Learning Rates Achieve Linear Speedup for Non-IID Data. CoRR Hao Sun, Li Shen, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao
2023	C	`conf`	GPU Occupancy Prediction of Deep Learning Models Using Graph Neural Network. CLUSTER Hengquan Mei, Huaizhi Qu, Jingwei Sun, Yanjie Gao, Haoxiang Lin, Guangzhong Sun
2023	—	`conf`	Scalable Tracing of MPI Events and Performance Metrics. IPDPS Workshops Tao Yan, Qingguo Xu, Jiyu Luo, Jingwei Sun, Guangzhong Sun
2023	J	`jnl`	Synthesizing Proxy Applications for MPI Programs. CoRR Tao Yan, Qingguo Xu, Jiyu Luo, Jingwei Sun, Guangzhong Sun
2022	—	`conf`	Accelerating GNN Inference by Soft Channel Pruning. PAAP Wenbo Zhang, Jingwei Sun, Guangzhong Sun
2022	J	`jnl`	Lossy Compression of Communication Traces Using Recurrent Neural Networks. IEEE Trans. Parallel Distributed Syst. Jingwei Sun, Tao Yan, Hao Sun, Huancheng Lin, Guangzhong Sun
2022	J	`jnl`	Multi-Net strategy: Accelerating physics-informed neural networks for solving partial differential equations. Softw. Pract. Exp. Yunzhuo Wang, Jianfeng Li, Liangying Zhou, Jingwei Sun, Guangzhong Sun
2021	B	`conf`	An Efficient Channel-level Pruning for CNNs without Fine-tuning. IJCNN Zhongtian Xu, Jingwei Sun, Yunjie Liu, Guangzhong Sun
2021	B	`conf`	Performance Analysis of Graph Neural Network Frameworks. ISPASS Junwei Wu, Jingwei Sun, Hao Sun, Guangzhong Sun
2020	A	`conf`	An Active Learning Method for Empirical Modeling in Performance Tuning. IPDPS Jiepeng Zhang, Jingwei Sun, Wenju Zhou, Guangzhong Sun
2020	J	`jnl`	Automated Performance Modeling of HPC Applications Using Machine Learning. IEEE Trans. Computers Jingwei Sun, Guangzhong Sun, Shiyan Zhan, Jiepeng Zhang, Yong Chen
2020	—	`conf`	Fast Training of POI Recommendation Models Using Gradient Compression. SpatialDI Hao Sun, Yunzhuo Wang, Jingwei Sun, Guangzhong Sun
2020	—	`conf`	Using Small-Scale History Data to Predict Large-Scale Performance of HPC Application. IPDPS Workshops Wenju Zhou, Jiepeng Zhang, Jingwei Sun, Guangzhong Sun
2019	—	`conf`	Constructing Skeleton for Parallel Applications with Machine Learning Methods. ICPP Workshops Zihang Zhang, Jingwei Sun, Jiepeng Zhang, Yuze Qin, Guangzhong Sun
2017	—	`conf`	Automated Performance Modeling Based on Runtime Feature Detection and Machine Learning. ISPA/IUCC Jingwei Sun, Shiyan Zhan, Guangzhong Sun, Yong Chen
2016	J	`jnl`	SPLZ: An efficient algorithm for single source shortest path problem using compression method. GeoInformatica Jingwei Sun, Guangzhong Sun
2014	J	`jnl`	SPLZ: An Efficient Algorithm for Single Source Shortest Path Problem Using Compression Method. CoRR Jingwei Sun, Guangzhong Sun