Xueyuan Liu

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 16

Top Topics

Absorptive Capacity

Electric Vehicles

Top Venues

Frontiers Neuroinformatics

Publications

Xueyuan Liu, Zhuoran Song, Guohao Dai, Gang Li, Can Xiao, Yan Xiang, Dehui Kong, Ke Xu, Xiaoyao Liang
FusionArch: A Fusion-Based Accelerator for Point-Based Point Cloud Neural Networks. DATE (2024)
Xueyuan Liu, Zhuoran Song, Xiang Liao, Xing Li, Tao Yang, Fangxin Liu, Xiaoyao Liang
Sava: A Spatial- and Value-Aware Accelerator for Point Cloud Transformer. DATE (2024)
Chuliang Guo, Binglei Lou, Xueyuan Liu, David Boland, Philip H. W. Leong, Cheng Zhuo
BOOST: Block Minifloat-Based On-Device CNN Training Accelerator with Transfer Learning. ICCAD (2023)
Zongkai Zhu, Chao He, Jiaqiang Li, Xueyuan Liu, Rong Ma
The Prediction Model for Road Slope of Electric Vehicles Based on Stacking Framework of Deep Learning. IEEE Access 11 (2023)
Chuliang Guo, Binglei Lou, Xueyuan Liu, David Boland, Philip H. W. Leong
Single-Batch CNN Training using Block Minifloats on FPGAs. FPGA (2023)
Xing Li, Rachata Ausavarungnirun, Xiao Liu, Xueyuan Liu, Xuan Zhang, Heng Lu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang
Gzippo: Highly-Compact Processing-in-Memory Graph Accelerator Alleviating Sparsity and Redundancy. ICCAD (2022)
Xueyuan Liu, Carol Jingyi Li, Craig T. Jin, Philip H. W. Leong
Wireless Signal Representation Techniques for Automatic Modulation Classification. IEEE Access 10 (2022)
Xueyuan Liu
Automatic Modulation Classification Based on Improved R-Transformer. IWCMC (2021)
Kaimo Ni, Xueyuan Liu
A Matlab-Based Model of Diesel Engine Particulate Matter Lung Deposition. ACAI (2021)
Wei Wei, Lin Xu, Chang Liu, Caiyuan Zhang, Lei Ai, Dan Jin, Xueyuan Liu, Hua Yang
A Harmonic Model of EMU Based on Measured Data for Power Quality Pre-assessment. ICAIIS (2021)
Zhuoran Song, Feiyang Wu, Xueyuan Liu, Jing Ke, Naifeng Jing, Xiaoyao Liang
VR-DANN: Real-Time Video Recognition via Decoder-Assisted Neural Network Acceleration. MICRO (2020)
Julian Faraone, Martin Kumm, Martin Hardieck, Peter Zipf, Xueyuan Liu, David Boland, Philip H. W. Leong
AddNet: Deep Neural Networks Using FPGA-Optimized Multipliers. IEEE Trans. Very Large Scale Integr. Syst. 28 (1) (2020)
Guilin Meng, Yong Huang, Qi Yu, Ying Ding, David J. Wild, Yanxin Zhao, Xueyuan Liu, Min Song
Adopting Text Mining on Rehabilitation Therapy Repositioning for Stroke. Frontiers Neuroinformatics 13 (2019)
Julian Faraone, Martin Kumm, Martin Hardieck, Peter Zipf, Xueyuan Liu, David Boland, Philip H. W. Leong
AddNet: Deep Neural Networks Using FPGA-Optimized Multipliers. CoRR (2019)
Guilin Meng, Xiulin Meng, Xiaoye Ma, Gengping Zhang, Xiaolin Hu, Aiping Jin, Yanxin Zhao, Xueyuan Liu
Application of Ferulic Acid for Alzheimer's Disease: Combination of Text Mining and Experimental Validation. Frontiers Neuroinformatics 12 (2018)
Xueyuan Liu, Haiyun Zhao, Xiande Zhao
Absorptive capacity and business performance: The mediating effects of innovation and mass customization. Ind. Manag. Data Syst. 118 (9) (2018)
Jiang Li, Yongjuan Li, Xueyuan Liu
The effects of motor impulsiveness and optimism bias on risky driving behavior in Chinese urban areas. ITSC (2008)