Suhan Guo

Orcid: 0000-0002-7175-5414

According to our database1, Suhan Guo authored at least 12 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
IPF-RDA: An Information-Preserving Framework for Robust Data Augmentation.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2026

T-LLM: Teaching Large Language Models to Forecast Time Series via Temporal Distillation.
CoRR, February, 2026

MiCA: A Mobility-Informed Causal Adapter for Lightweight Epidemic Forecasting.
CoRR, January, 2026

2025
Enhancing Epidemic Forecasting: Evaluating the Role of Mobility Data and Graph Convolutional Networks.
CoRR, June, 2025

SPAT: Sensitivity-based Multihead-attention Pruning on Time Series Forecasting Models.
CoRR, May, 2025

2024
Investigating the effectiveness of data augmentation from similarity and diversity: An empirical study.
Pattern Recognit., April, 2024

Estimating the treatment effect over time under general interference through deep learner integrated TMLE.
CoRR, 2024

Approximate attention with MLP: a pruning strategy for attention-based model in multivariate time series forecasting.
CoRR, 2024

Multi-Scale Dilated Convolution Network for Long-Term Time Series Forecasting.
CoRR, 2024

2023
Sensitivity pruner: Filter-Level compression algorithm for deep neural networks.
Pattern Recognit., August, 2023

Not All Data Matters: An End-to-End Adaptive Dataset Pruning Framework for Enhancing Model Performance and Efficiency.
CoRR, 2023

2022
Image Data Augmentation for Deep Learning: A Survey.
CoRR, 2022


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