Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge. - Guangli Li; Lei Liu 030; Xueying Wang 003; Xiao Dong; Peng Zhao 008; Xiaobing Feng 002 (ICANN (1), 2018)

Background Subtraction on Depth Videos with Convolutional Neural Networks. - Xueying Wang 003; Lei Liu 030; Guangli Li; Xiao Dong; Peng Zhao 008; Xiaobing Feng 002 (IJCNN, 2018)

Acorns: A Framework for Accelerating Deep Neural Networks with Input Sparsity. - Xiao Dong; Lei Liu 030; Peng Zhao 008; Guangli Li; Jiansong Li; Xueying Wang 003; Xiaobing Feng 002 (PACT, 2019)

XDN: Towards Efficient Inference of Residual Neural Networks on Cambricon Chips. - Guangli Li; Xueying Wang 003; Xiu Ma; Lei Liu 030; Xiaobing Feng 002 (Bench, 2019)

Exploiting the input sparsity to accelerate deep neural networks: poster. - Xiao Dong; Lei Liu 030; Guangli Li; Jiansong Li; Peng Zhao 008; Xueying Wang 003; Xiaobing Feng 002 (PPoPP, 2019)

Accelerating Deep Learning Inference with Cross-Layer Data Reuse on GPUs. - Xueying Wang 003; Guangli Li; Xiao Dong; Jiansong Li; Lei Liu 030; Xiaobing Feng 002 (Euro-Par, 2020)

Lance: efficient low-precision quantized winograd convolution for neural networks based on graphics processing units. - Guangli Li; Lei Liu 030; Xueying Wang 003; Xiu Ma; Xiaobing Feng 002 (ICASSP, 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 003; Wei Cao 010; Lei Liu 030; Yanzhi Wang; Tao Li 022; Xiaobing Feng 002 (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Compiler-Assisted Operator Template Library for DNN Accelerators. - Jiansong Li; Wei Cao 010; Xiao Dong; Guangli Li; Xueying Wang 003; Lei Liu 030; Xiaobing Feng 002 (NPC, 2020)

Fusion-Catalyzed Pruning for Optimizing Deep Learning on Intelligent Edge Devices. - Guangli Li; Xiu Ma; Xueying Wang 003; Lei Liu 030; Jingling Xue; Xiaobing Feng 002 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Unleashing the Low-Precision Computation Potential of Tensor Cores on GPUs. - Guangli Li; Jingling Xue; Lei Liu 030; Xueying Wang 003; Xiu Ma; Xiao Dong; Jiansong Li; Xiaobing Feng 002 (CGO, 2021)

Pinpointing the Memory Behaviors of DNN Training. - Jiansong Li; Xiao Dong; Guangli Li; Peng Zhao 008; Xueying Wang 003; Xiaobing Chen; Xianzhi Yu; Yongxin Yang; Zihan Jiang; Wei Cao 010; Lei Liu 030; Xiaobing Feng 002 (ISPASS, 2021)

Compiler-assisted Operator Template Library for DNN Accelerators. - Jiansong Li; Wei Cao 010; Xiao Dong; Guangli Li; Xueying Wang 003; Peng Zhao 008; Lei Liu 030; Xiaobing Feng 002 (Int. J. Parallel Program., 2021)

Accelerating deep neural network filter pruning with mask-aware convolutional computations on modern CPUs. - Xiu Ma; Guangli Li; Lei Liu 040; Huaxiao Liu; Xueying Wang 003 (Neurocomputing, 2022)

Optimizing deep neural networks on intelligent edge accelerators via flexible-rate filter pruning. - Guangli Li; Xiu Ma; Xueying Wang 003; Hengshan Yue; Jiansong Li; Lei Liu 030; Xiaobing Feng 002; Jingling Xue (J. Syst. Archit., 2022)

An Application-oblivious Memory Scheduling System for DNN Accelerators. - Jiansong Li; Xueying Wang 003; Xiaobing Chen; Guangli Li; Xiao Dong; Peng Zhao 008; Xianzhi Yu; Yongxin Yang; Wei Cao 010; Lei Liu 030; Xiaobing Feng 002 (ACM Trans. Archit. Code Optim., 2022)

Facilitating hardware-aware neural architecture search with learning-based predictive models. - Xueying Wang 003; Guangli Li; Xiu Ma; Xiaobing Feng 002 (J. Syst. Archit., 2023)

CoAxNN: Optimizing on-device deep learning with conditional approximate neural networks. - Guangli Li; Xiu Ma; Qiuchu Yu; Lei Liu 040; Huaxiao Liu; Xueying Wang 003 (J. Syst. Archit., 2023)

Fast Convolution Meets Low Precision: Exploring Efficient Quantized Winograd Convolution on Modern CPUs. - Xueying Wang 003; Guangli Li; Zhen Jia 001; Xiaobing Feng 002; Yida Wang 003 (ACM Trans. Archit. Code Optim., 2024)

FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores. - Jinliang Shi; Shigang Li 002; Youxuan Xu; Rongtian Fu; Xueying Wang 003; Tong Wu (PPoPP, 2025)

SparkAttention: high-performance multi-head attention for large models on Volta GPU architecture. - Youxuan Xu; Tong Wu; Shigang Li 002; Xueying Wang 003; Jingjing Wang (CCF Trans. High Perform. Comput., 2025)

Libra: Synergizing CUDA and Tensor Cores for High-Performance Sparse Matrix Multiplication. - Jinliang Shi; Shigang Li 002; Youxuan Xu; Xueying Wang 003; Rongtian Fu; Zhi Ma; Tong Wu (CoRR, 2025)

OptiFX: Automatic Optimization for Convolutional Neural Networks with Aggressive Operator Fusion on GPUs. - Xueying Wang 003; Shigang Li 002; Hao Qian; Fan Luo; Zhaoyang Hao; Tong Wu; Ruiyuan Xu; Huimin Cui; Xiaobing Feng 002; Guangli Li; Jingling Xue (ACM Trans. Archit. Code Optim., 2025)