Image Data Augmentation for Deep Learning: A Survey. - Suorong Yang; Weikang Xiao; Mengchen Zhang 001; Suhan Guo; Jian Zhao 013; Furao Shen (CoRR, 2022)

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 013 (CoRR, 2023)

Sensitivity pruner: Filter-Level compression algorithm for deep neural networks. - Suhan Guo; Bilan Lai; Suorong Yang; Jian Zhao 013; Furao Shen (Pattern Recognit., 2023)

Multi-Scale Dilated Convolution Network for Long-Term Time Series Forecasting. - Feifei Li; Suhan Guo; Feng Han; Jian Zhao 013; Furao Shen (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 001; Furao Shen; Jian Zhao 013 (CoRR, 2024)

Estimating the treatment effect over time under general interference through deep learner integrated TMLE. - Suhan Guo; Furao Shen; Ni Li (CoRR, 2024)

Investigating the effectiveness of data augmentation from similarity and diversity: An empirical study. - Suorong Yang; Suhan Guo; Jian Zhao 013; Furao Shen (Pattern Recognit., 2024)

SPAT: Sensitivity-based Multihead-attention Pruning on Time Series Forecasting Models. - Suhan Guo; Jiahong Deng; Mengjun Yi; Furao Shen; Jian Zhao 013 (CoRR, 2025)

Enhancing Epidemic Forecasting: Evaluating the Role of Mobility Data and Graph Convolutional Networks. - Suhan Guo; Zhenghao Xu; Furao Shen; Jian Zhao 013 (CoRR, 2025)