Xueying Wang

According to our database, Xueying Wang authored at least 23 papers between 2018 and 2025.

Collaborative distances:

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

2025

OptiFX: Automatic Optimization for Convolutional Neural Networks with Aggressive Operator Fusion on GPUs.

Xueying Wang, Shigang Li, Hao Qian, Fan Luo, Zhaoyang Hao, Tong Wu, Ruiyuan Xu, Huimin Cui, Xiaobing Feng, Guangli Li, Jingling Xue

ACM Trans. Archit. Code Optim., June, 2025

Libra: Synergizing CUDA and Tensor Cores for High-Performance Sparse Matrix Multiplication.

Jinliang Shi, Shigang Li, Youxuan Xu, Xueying Wang, Rongtian Fu, Zhi Ma, Tong Wu

CoRR, June, 2025

SparkAttention: high-performance multi-head attention for large models on Volta GPU architecture.

Youxuan Xu, Tong Wu, Shigang Li, Xueying Wang, Jingjing Wang

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

FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores.

Jinliang Shi, Shigang Li, Youxuan Xu, Rongtian Fu, Xueying Wang, Tong Wu

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

2024

Fast Convolution Meets Low Precision: Exploring Efficient Quantized Winograd Convolution on Modern CPUs.

Xueying Wang, Guangli Li, Zhen Jia, Xiaobing Feng, Yida Wang

ACM Trans. Archit. Code Optim., March, 2024

2023

CoAxNN: Optimizing on-device deep learning with conditional approximate neural networks.

Guangli Li, Xiu Ma, Qiuchu Yu, Lei Liu, Huaxiao Liu, Xueying Wang

J. Syst. Archit., October, 2023

Facilitating hardware-aware neural architecture search with learning-based predictive models.

Xueying Wang, Guangli Li, Xiu Ma, Xiaobing Feng

J. Syst. Archit., April, 2023

2022

An Application-oblivious Memory Scheduling System for DNN Accelerators.

Jiansong Li, Xueying Wang, Xiaobing Chen, Guangli Li, Xiao Dong, Peng Zhao, Xianzhi Yu, Yongxin Yang, Wei Cao, Lei Liu, Xiaobing Feng

ACM Trans. Archit. Code Optim., 2022

Optimizing deep neural networks on intelligent edge accelerators via flexible-rate filter pruning.

Guangli Li, Xiu Ma, Xueying Wang, Hengshan Yue, Jiansong Li, Lei Liu, Xiaobing Feng, Jingling Xue

J. Syst. Archit., 2022

Accelerating deep neural network filter pruning with mask-aware convolutional computations on modern CPUs.

Xiu Ma, Guangli Li, Lei Liu, Huaxiao Liu, Xueying Wang

Neurocomputing, 2022

2021

Compiler-assisted Operator Template Library for DNN Accelerators.

Jiansong Li, Wei Cao, Xiao Dong, Guangli Li, Xueying Wang, Peng Zhao, Lei Liu, Xiaobing Feng

Int. J. Parallel Program., 2021

Pinpointing the Memory Behaviors of DNN Training.

Jiansong Li, Xiao Dong, Guangli Li, Peng Zhao, Xueying Wang, Xiaobing Chen, Xianzhi Yu, Yongxin Yang, Zihan Jiang, Wei Cao, Lei Liu, Xiaobing Feng

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

Unleashing the Low-Precision Computation Potential of Tensor Cores on GPUs.

Guangli Li, Jingling Xue, Lei Liu, Xueying Wang, Xiu Ma, Xiao Dong, Jiansong Li, Xiaobing Feng

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2021

2020

Fusion-Catalyzed Pruning for Optimizing Deep Learning on Intelligent Edge Devices.

Guangli Li, Xiu Ma, Xueying Wang, Lei Liu, Jingling Xue, Xiaobing Feng

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Compiler-Assisted Operator Template Library for DNN Accelerators.

Jiansong Li, Wei Cao, Xiao Dong, Guangli Li, Xueying Wang, Lei Liu, Xiaobing Feng

Proceedings of the Network and Parallel Computing, 2020

Characterizing the I/O Pipeline in the Deployment of CNNs on Commercial Accelerators.

Jiansong Li, Zihan Jiang, Fangxin Liu, Xiao Dong, Guangli Li, Xueying Wang, Wei Cao, Lei Liu, Yanzhi Wang, Tao Li, Xiaobing Feng

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Lance: efficient low-precision quantized winograd convolution for neural networks based on graphics processing units.

Guangli Li, Lei Liu, Xueying Wang, Xiu Ma, Xiaobing Feng

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Accelerating Deep Learning Inference with Cross-Layer Data Reuse on GPUs.

Xueying Wang, Guangli Li, Xiao Dong, Jiansong Li, Lei Liu, Xiaobing Feng

Proceedings of the Euro-Par 2020: Parallel Processing, 2020

2019

Exploiting the input sparsity to accelerate deep neural networks: poster.

Xiao Dong, Lei Liu, Guangli Li, Jiansong Li, Peng Zhao, Xueying Wang, Xiaobing Feng

Proceedings of the 24th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2019

XDN: Towards Efficient Inference of Residual Neural Networks on Cambricon Chips.

Guangli Li, Xueying Wang, Xiu Ma, Lei Liu, Xiaobing Feng

Proceedings of the Benchmarking, Measuring, and Optimizing, 2019

Acorns: A Framework for Accelerating Deep Neural Networks with Input Sparsity.

Xiao Dong, Lei Liu, Peng Zhao, Guangli Li, Jiansong Li, Xueying Wang, Xiaobing Feng

Proceedings of the 28th International Conference on Parallel Architectures and Compilation Techniques, 2019

2018

Background Subtraction on Depth Videos with Convolutional Neural Networks.

Xueying Wang, Lei Liu, Guangli Li, Xiao Dong, Peng Zhao, Xiaobing Feng

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge.

Guangli Li, Lei Liu, Xueying Wang, Xiao Dong, Peng Zhao, Xiaobing Feng

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018