Chuliang Guo

According to our database, Chuliang Guo authored at least 10 papers between 2020 and 2025.

Collaborative distances:

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

2025

FPGA-based component-wise LSTM training accelerator for neural granger causality analysis.

Chuliang Guo, Yufei Chen, Yu Fu

Neurocomputing, 2025

2023

GANDSE: Generative Adversarial Network-based Design Space Exploration for Neural Network Accelerator Design.

Lang Feng, Wenjian Liu, Chuliang Guo, Ke Tang, Cheng Zhuo, Zhongfeng Wang

ACM Trans. Design Autom. Electr. Syst., 2023

BOOST: Block Minifloat-Based On-Device CNN Training Accelerator with Transfer Learning.

Chuliang Guo, Binglei Lou, Xueyuan Liu, David Boland, Philip H. W. Leong, Cheng Zhuo

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

Single-Batch CNN Training using Block Minifloats on FPGAs.

Chuliang Guo, Binglei Lou, Xueyuan Liu, David Boland, Philip H. W. Leong

Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2023

2022

Landslide susceptibility assessment based on multi GPUs: a deep learning approach.

Chuliang Guo, Jinxia Wu, Shuaihe Zhao, Zihao Wang, Sansar Raj Meena, Feng Zhang

CCF Trans. High Perform. Comput., 2022

2021

A Reconfigurable Multiplier for Signed Multiplications with Asymmetric Bit-Widths.

Chuliang Guo, Li Zhang, Xian Zhou, Grace Li Zhang, Bing Li, Weikang Qian, Xunzhao Yin, Cheng Zhuo

ACM J. Emerg. Technol. Comput. Syst., 2021

Regularization-Free Structural Pruning for GPU Inference Acceleration.

Chuliang Guo, Yanbing Yang, Li Zhang, Shaodi Wang, He Li, Keyu Long, Xunzhao Yin, Cheng Zhuo

Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

Joint Sparsity with Mixed Granularity for Efficient GPU Implementation.

Chuliang Guo, Xingang Yan, Yufei Chen, He Li, Xunzhao Yin, Cheng Zhuo

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020

A Convolutional Neural Network Accelerator Architecture with Fine-Granular Mixed Precision Configurability.

Xian Zhou, Li Zhang, Chuliang Guo, Xunzhao Yin, Cheng Zhuo

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

A Reconfigurable Approximate Multiplier for Quantized CNN Applications.

Chuliang Guo, Li Zhang, Xian Zhou, Weikang Qian, Cheng Zhuo

Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020