About
I received my Ph.D. degree from ACALab, Shanghai Jiao Tong University (SJTU), advised by Prof. Xiaoyao Liang. My research focuses on computer architecture (ASIC and GPGPU), software-hardware co-design.
Research Interests
- Software-Hardware Co-design
- AI Acceleration Architecture
- General-Purpose Graphics Processing Units Architecture
News
- [2025.01] Paper "SAGA" accepted by DAC 2025 (CCF-A).
- [2024.03] Our paper "FusionArch" received Best Paper Award at DATE 2024.
- [2024.02] Paper "MoC" accepted by DAC 2024.
- [2023.11] Papers "FusionArch" and "Sava" accepted by DATE 2024.
Publications
2025
Ruiyang Chen, Xueyuan Liu, Chunyu Qi, Yuanzheng Yao, Yanan Sun, Xiaoyao Liang, and Zhuoran Song. "SAGA: A Memory-Efficient Accelerator for GANN Construction via Harnessing Vertex Similarity." Design Automation Conference (DAC 2025, CCF-A). [paper]
2024
Xueyuan Liu, Zhuoran Song, Hao Chen, Xing Li, and Xiaoyao Liang. "MoC: A Morton-Code-Based Fine-Grained Quantization for Accelerating Point Cloud Neural Networks." Design Automation Conference (DAC 2024). [paper]
Xueyuan Liu, Zhuoran Song, Guohao Dai, Gang Li, Can Xiao, Yan Xiang, Dehui Kong, Ke Xu and Xiaoyao Liang. "FusionArch: A Fusion-Based Accelerator for Point-Based Point Cloud Neural Networks." Design, Automation, and Test in Europe (DATE 2024). Best Paper Award. [paper]
Xueyuan Liu, Zhuoran Song, Xiang Liao, Xing Li, Tao Yang, Fangxin Liu and Xiaoyao Liang. "Sava: A Spatial- and Value-Aware Accelerator for Point Cloud Transformers." Design, Automation, and Test in Europe (DATE 2024). [paper]
Xing Li, Zhuoran Song, Rachata Ausavarungnirun, Xiao Liu, Xueyuan Liu, Xuan Zhang, Xuhang Wang, Jiayao Ling, Gang Li, Naifeng Jing, Xiaoyao Liang. "Janus: A Flexible Processing-in-Memory Graph Accelerator Towards Sparsity." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024. [paper]
Xuan Zhang, Zhuoran Song, Peng Zhou, Xing Li, Xueyuan Liu, Xiaolong Lin, Zhezhi He, Li Jiang, Naifeng Jing and Xiaoyao Liang. "WIFA: A Weight Importance- and Frequency-aware Accelerator for SNN." IEEE International Conference on Computer Design (ICCD 2024, CCF-B).
2022
Xing Li, Rachata Ausavarungnirun, Xiao Liu, Xueyuan Liu, Xuan Zhang, Heng Lu, Zhuoran Song, Naifeng Jing and Xiaoyao Liang. "Gzippo: Highly-compact Processing-In-Memory Graph Accelerator Alleviating Sparsity and Redundancy." IEEE/ACM International Conference on Computer-Aided Design (ICCAD 2022). [paper]
Contributed to the writing of "General-Purpose Graphics Processing Units Design — GPGPU Programming Model and Architecture Principles" (通用图形处理器设计——GPGPU编程模型和架构原理). Tsinghua University Press, 2022. [view]
2020
Zhuoran Song, Feiyang Wu, Xueyuan Liu, Naifeng Jing and Xiaoyao Liang. "VR-DANN: Real-Time Video Recognition via Decoder-Assisted Neural Network Acceleration." IEEE/ACM International Symposium on Microarchitecture (MICRO 2020). [paper]
Education
Ph.D. in Computer Science and Technology
Shanghai Jiao Tong University | Sep. 2020 – Jun. 2025
B.Eng. in Computer Science and Technology
Northeastern University | Sep. 2016 – Jun. 2020