Xing Li

According to our database, Xing Li authored at least 10 papers between 2022 and 2025.

Collaborative distances:

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

2025

Vision Transformer Acceleration via a Versatile Attention Optimization Framework.

Xuhang Wang, Qiyue Huang, Xing Li, Haozhe Jiang, Qiang Xu, Xiaoyao Liang, Zhuoran Song

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., June, 2025

GIFTS: Efficient GCN Inference Framework on PyTorch-CPU via Exploring the Sparsity.

Ruiyang Chen, Xing Li, Xiaoyao Liang, Zhuoran Song

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2025

2024

Janus: A Flexible Processing-in-Memory Graph Accelerator Toward Sparsity.

Xing Li, Zhuoran Song, Rachata Ausavarungnirun, Xiao Liu, Xueyuan Liu, Xuan Zhang, Xuhang Wang, Jiayao Ling, Gang Li, Naifeng Jing, Xiaoyao Liang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2024

Early: An Importance-Aware Early Firing and Exit for SNN Acceleration.

Xuan Zhang, Zhuoran Song, Peng Zhou, Xing Li, Xueyuan Liu, Xiaolong Lin, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang

Proceedings of the 42nd IEEE International Conference on Computer Design, 2024

Watt: A Write-Optimized RRAM-Based Accelerator for Attention.

Xuan Zhang, Zhuoran Song, Xing Li, Zhezhi He, Naifeng Jing, Li Jiang, Xiaoyao Liang

Proceedings of the Euro-Par 2024: Parallel Processing, 2024

Sava: A Spatial- and Value-Aware Accelerator for Point Cloud Transformer.

Xueyuan Liu, Zhuoran Song, Xiang Liao, Xing Li, Tao Yang, Fangxin Liu, Xiaoyao Liang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

MoC: A Morton-Code-Based Fine-Grained Quantization for Accelerating Point Cloud Neural Networks.

Xueyuan Liu, Zhuoran Song, Hao Chen, Xing Li, Xiaoyao Liang

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

HyAcc: A Hybrid CAM-MAC RRAM-based Accelerator for Recommendation Model.

Xuan Zhang, Zhuoran Song, Xing Li, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang

Proceedings of the 41st IEEE International Conference on Computer Design, 2023

2022

GCNTrain: A Unified and Efficient Accelerator for Graph Convolutional Neural Network Training.

Heng Lu, Zhuoran Song, Xing Li, Naifeng Jing, Xiaoyao Liang

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

Gzippo: Highly-Compact Processing-in-Memory Graph Accelerator Alleviating Sparsity and Redundancy.

Xing Li, Rachata Ausavarungnirun, Xiao Liu, Xueyuan Liu, Xuan Zhang, Heng Lu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022