Xueying Wang - RankMe

34 papers A 3B 5C 1Misc 1Journal 19Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	DyPARS: Dynamic-Shape DNN Optimization via Pareto-Aware MCTS for Graph Variants. CGO Hao Qian, Guangli Li, Qiuchu Yu, Xueying Wang, Jingling Xue
2026	A	`conf`	Progressive Low-Precision Approximation of Tensor Operators on GPUs: Enabling Greater Trade-Offs between Performance and Accuracy. CGO Fan Luo, Guangli Li, Zhaoyang Hao, Xueying Wang, Xiaobing Feng, Huimin Cui, Jingling Xue
2025	B	`conf`	FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores. PPoPP Jinliang Shi, Shigang Li, Youxuan Xu, Rongtian Fu, Xueying Wang, Tong Wu
2025	J	`jnl`	Libra: Synergizing CUDA and Tensor Cores for High-Performance Sparse Matrix Multiplication. CoRR Jinliang Shi, Shigang Li, Youxuan Xu, Xueying Wang, Rongtian Fu, Zhi Ma, Tong Wu
2025	J	`jnl`	OptiFX: Automatic Optimization for Convolutional Neural Networks with Aggressive Operator Fusion on GPUs. ACM Trans. Archit. Code Optim. Xueying Wang, Shigang Li, Hao Qian, Fan Luo, Zhaoyang Hao, Tong Wu, Ruiyuan Xu, Huimin Cui, Xiaobing Feng, Guangli Li, Jingling Xue
2025	J	`jnl`	SparkAttention: High-Performance Multi-Head Attention for Large Models on Volta GPU Architecture. CoRR Youxuan Xu, Tong Wu, Shigang Li, Xueying Wang, Jingjing Wang
2025	J	`jnl`	SparkAttention: high-performance multi-head attention for large models on Volta GPU architecture. CCF Trans. High Perform. Comput. Youxuan Xu, Tong Wu, Shigang Li, Xueying Wang, Jingjing Wang
2025	—	`conf`	TopServe: Task-Operator Co-scheduling for Efficient Multi-DNN Inference Serving on GPUs. Euro-Par (2) Ao Chen, Guangli Li, Feng Yu, Xueying Wang, Jiacheng Zhao, Huimin Cui, Xiaobing Feng, Jingling Xue
2024	J	`jnl`	Fast Convolution Meets Low Precision: Exploring Efficient Quantized Winograd Convolution on Modern CPUs. ACM Trans. Archit. Code Optim. Xueying Wang, Guangli Li, Zhen Jia, Xiaobing Feng, Yida Wang
2024	J	`jnl`	FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores. CoRR Jinliang Shi, Shigang Li, Youxuan Xu, Rongtian Fu, Xueying Wang, Tong Wu
2023	J	`jnl`	CoAxNN: Optimizing on-device deep learning with conditional approximate neural networks. J. Syst. Archit. Guangli Li, Xiu Ma, Qiuchu Yu, Lei Liu, Huaxiao Liu, Xueying Wang
2023	J	`jnl`	Facilitating hardware-aware neural architecture search with learning-based predictive models. J. Syst. Archit. Xueying Wang, Guangli Li, Xiu Ma, Xiaobing Feng
2022	J	`jnl`	Accelerating deep neural network filter pruning with mask-aware convolutional computations on modern CPUs. Neurocomputing Xiu Ma, Guangli Li, Lei Liu, Huaxiao Liu, Xueying Wang
2022	J	`jnl`	An Application-oblivious Memory Scheduling System for DNN Accelerators. ACM Trans. Archit. Code Optim. Jiansong Li, Xueying Wang, Xiaobing Chen, Guangli Li, Xiao Dong, Peng Zhao, Xianzhi Yu, Yongxin Yang, Wei Cao, Lei Liu, Xiaobing Feng
2022	J	`jnl`	Optimizing deep neural networks on intelligent edge accelerators via flexible-rate filter pruning. J. Syst. Archit. Guangli Li, Xiu Ma, Xueying Wang, Hengshan Yue, Jiansong Li, Lei Liu, Xiaobing Feng, Jingling Xue
2021	J	`jnl`	Compiler-assisted Operator Template Library for DNN Accelerators. Int. J. Parallel Program. Jiansong Li, Wei Cao, Xiao Dong, Guangli Li, Xueying Wang, Peng Zhao, Lei Liu, Xiaobing Feng
2021	B	`conf`	Pinpointing the Memory Behaviors of DNN Training. ISPASS Jiansong Li, Xiao Dong, Guangli Li, Peng Zhao, Xueying Wang, Xiaobing Chen, Xianzhi Yu, Yongxin Yang, Zihan Jiang, Wei Cao, Lei Liu, Xiaobing Feng
2021	J	`jnl`	Pinpointing the Memory Behaviors of DNN Training. CoRR Jiansong Li, Xiao Dong, Guangli Li, Peng Zhao, Xueying Wang, Xiaobing Chen, Xianzhi Yu, Yongxin Yang, Zihan Jiang, Wei Cao, Lei Liu, Xiaobing Feng
2021	A	`conf`	Unleashing the Low-Precision Computation Potential of Tensor Cores on GPUs. CGO Guangli Li, Jingling Xue, Lei Liu, Xueying Wang, Xiu Ma, Xiao Dong, Jiansong Li, Xiaobing Feng
2020	—	`conf`	Accelerating Deep Learning Inference with Cross-Layer Data Reuse on GPUs. Euro-Par Xueying Wang, Guangli Li, Xiao Dong, Jiansong Li, Lei Liu, Xiaobing Feng
2020	J	`jnl`	Accelerating Deep Learning Inference with Cross-Layer Data Reuse on GPUs. CoRR Xueying Wang, Guangli Li, Xiao Dong, Jiansong Li, Lei Liu, Xiaobing Feng
2020	—	`conf`	Characterizing the I/O Pipeline in the Deployment of CNNs on Commercial Accelerators. ISPA/BDCloud/SocialCom/SustainCom Jiansong Li, Zihan Jiang, Fangxin Liu, Xiao Dong, Guangli Li, Xueying Wang, Wei Cao, Lei Liu, Yanzhi Wang, Tao Li, Xiaobing Feng
2020	C	`conf`	Compiler-Assisted Operator Template Library for DNN Accelerators. NPC Jiansong Li, Wei Cao, Xiao Dong, Guangli Li, Xueying Wang, Lei Liu, Xiaobing Feng
2020	J	`jnl`	Fusion-Catalyzed Pruning for Optimizing Deep Learning on Intelligent Edge Devices. CoRR Guangli Li, Xiu Ma, Xueying Wang, Lei Liu, Jingling Xue, Xiaobing Feng
2020	J	`jnl`	Fusion-Catalyzed Pruning for Optimizing Deep Learning on Intelligent Edge Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Guangli Li, Xiu Ma, Xueying Wang, Lei Liu, Jingling Xue, Xiaobing Feng
2020	J	`jnl`	LANCE: Efficient Low-Precision Quantized Winograd Convolution for Neural Networks Based on Graphics Processing Units. CoRR Guangli Li, Lei Liu, Xueying Wang, Xiu Ma, Xiaobing Feng
2020	Misc	`conf`	Lance: efficient low-precision quantized winograd convolution for neural networks based on graphics processing units. ICASSP Guangli Li, Lei Liu, Xueying Wang, Xiu Ma, Xiaobing Feng
2019	B	`conf`	Acorns: A Framework for Accelerating Deep Neural Networks with Input Sparsity. PACT Xiao Dong, Lei Liu, Peng Zhao, Guangli Li, Jiansong Li, Xueying Wang, Xiaobing Feng
2019	J	`jnl`	Background subtraction on depth videos with convolutional neural networks. CoRR Xueying Wang, Lei Liu, Guangli Li, Xiao Dong, Peng Zhao, Xiaobing Feng
2019	B	`conf`	Exploiting the input sparsity to accelerate deep neural networks: poster. PPoPP Xiao Dong, Lei Liu, Guangli Li, Jiansong Li, Peng Zhao, Xueying Wang, Xiaobing Feng
2019	—	`conf`	XDN: Towards Efficient Inference of Residual Neural Networks on Cambricon Chips. Bench Guangli Li, Xueying Wang, Xiu Ma, Lei Liu, Xiaobing Feng
2018	—	`conf`	Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge. ICANN (1) Guangli Li, Lei Liu, Xueying Wang, Xiao Dong, Peng Zhao, Xiaobing Feng
2018	J	`jnl`	Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge. CoRR Guangli Li, Lei Liu, Xueying Wang, Xiao Dong, Peng Zhao, Xiaobing Feng
2018	B	`conf`	Background Subtraction on Depth Videos with Convolutional Neural Networks. IJCNN Xueying Wang, Lei Liu, Guangli Li, Xiao Dong, Peng Zhao, Xiaobing Feng