Suhan Guo

According to our database, Suhan Guo authored at least 9 papers between 2022 and 2025.

Collaborative distances:

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

2025

Enhancing Epidemic Forecasting: Evaluating the Role of Mobility Data and Graph Convolutional Networks.

Suhan Guo, Zhenghao Xu, Furao Shen, Jian Zhao

CoRR, June, 2025

SPAT: Sensitivity-based Multihead-attention Pruning on Time Series Forecasting Models.

Suhan Guo, Jiahong Deng, Mengjun Yi, Furao Shen, Jian Zhao

CoRR, May, 2025

2024

Investigating the effectiveness of data augmentation from similarity and diversity: An empirical study.

Suorong Yang, Suhan Guo, Jian Zhao, Furao Shen

Pattern Recognit., April, 2024

Estimating the treatment effect over time under general interference through deep learner integrated TMLE.

Suhan Guo, Furao Shen, Ni Li

CoRR, 2024

Approximate attention with MLP: a pruning strategy for attention-based model in multivariate time series forecasting.

Suhan Guo, Jiahong Deng, Yi Wei, Hui Dou, Furao Shen, Jian Zhao

CoRR, 2024

Multi-Scale Dilated Convolution Network for Long-Term Time Series Forecasting.

Feifei Li, Suhan Guo, Feng Han, Jian Zhao, Furao Shen

CoRR, 2024

2023

Sensitivity pruner: Filter-Level compression algorithm for deep neural networks.

Suhan Guo, Bilan Lai, Suorong Yang, Jian Zhao, Furao Shen

Pattern Recognit., August, 2023

Not All Data Matters: An End-to-End Adaptive Dataset Pruning Framework for Enhancing Model Performance and Efficiency.

Suorong Yang, Hongchao Yang, Suhan Guo, Furao Shen, Jian Zhao

CoRR, 2023

2022

Image Data Augmentation for Deep Learning: A Survey.

Suorong Yang, Weikang Xiao, Mengchen Zhang, Suhan Guo, Jian Zhao, Furao Shen

CoRR, 2022