Yaoxiu Lian

According to our database, Yaoxiu Lian authored at least 10 papers between 2023 and 2026.

Collaborative distances:

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

2026

FAST: A Scalable Framework for Accelerating Flexible Structured Sparse Training.

Shuaiheng Li, Jun Liu, Xinhao Li, Yaoxiu Lian, Tianlang Zhao, Li Ding, Guohao Dai

Proceedings of the Design, Automation & Test in Europe Conference, 2026

SpAct-NDP: Efficient LLM Inference via Sparse Activation on NDP-GPU Heterogeneous Architecture.

Jiaming Xu, Tongxin Xie, Yongkang Zhou, Jinhao Li, Yaoxiu Lian, Zhenhua Zhu, Yu Wang, Guohao Dai

Proceedings of the 31st Asia and South Pacific Design Automation Conference, 2026

MoSs: Mixture of Scales for Efficient High-Resolution Autoregressive Image Generation.

Yaoxiu Lian, Hao Liang, Zhihong Gou, Yijia Zhang, Jiaming Xu, Guohao Dai, Ningyi Xu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

A Point Transformer Accelerator With Distribution-Aware Heuristic Distance Calculation.

Yaoxiu Lian, Xinhao Yang, Ke Hong, Yu Wang, Ningyi Xu, Guohao Dai

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

SpecEE: Accelerating Large Language Model Inference with Speculative Early Exiting.

Jiaming Xu, Jiayi Pan, Yongkang Zhou, Siming Chen, Jinhao Li, Yaoxiu Lian, Junyi Wu, Guohao Dai

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

A Cross-model Fusion-aware Framework for Optimizing (gather-matmul-scatter)s Workload.

Yaoxiu Lian, Zhihong Gou, Yibo Han, Zhongming Yu, Jiaming Xu, Sheng Yuan, Zhilin Pei, Xingcheng Zhang, Ningyi Xu, Guohao Dai

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

2024

Large Language Model Inference Acceleration: A Comprehensive Hardware Perspective.

Jinhao Li, Jiaming Xu, Shan Huang, Yonghua Chen, Wen Li, Jun Liu, Yaoxiu Lian, Jiayi Pan, Li Ding, Hao Zhou, Yu Wang, Guohao Dai

CoRR, 2024

Fast and Efficient 2-bit LLM Inference on GPU: 2/4/16-bit in a Weight Matrix with Asynchronous Dequantization.

Jinhao Li, Jiaming Xu, Shiyao Li, Shan Huang, Jun Liu, Yaoxiu Lian, Guohao Dai

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

2023

Exploiting Hardware Utilization and Adaptive Dataflow for Efficient Sparse Convolution in 3D Point Clouds.

Ke Hong, Zhongming Yu, Guohao Dai, Xinhao Yang, Yaoxiu Lian, Zehao Liu, Ningyi Xu, Yuhan Dong, Yu Wang

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

A Point Transformer Accelerator with Fine-Grained Pipelines and Distribution-Aware Dynamic FPS.

Yaoxiu Lian, Xinhao Yang, Ke Hong, Yu Wang, Guohao Dai, Ningyi Xu

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023