Xueyuan Liu

According to our database, Xueyuan Liu authored at least 6 papers between 2020 and 2024.

Collaborative distances:

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

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

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

FusionArch: A Fusion-Based Accelerator for Point-Based Point Cloud Neural Networks.

Xueyuan Liu, Zhuoran Song, Guohao Dai, Gang Li, Can Xiao, Yan Xiang, Dehui Kong, Ke Xu, 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

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

2020

VR-DANN: Real-Time Video Recognition via Decoder-Assisted Neural Network Acceleration.

Zhuoran Song, Feiyang Wu, Xueyuan Liu, Jing Ke, Naifeng Jing, Xiaoyao Liang

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020