Fei Guo

Orcid: 0009-0002-5209-2309

Affiliations:
  • Xi'an Jiaotong University, School of Software Engineering, Shaanxi, China


According to our database1, Fei Guo authored at least 15 papers between 2023 and 2025.

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

Timeline

Legend:

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Links

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Bibliography

2025
Graph Feedback Bandits on Similar Arms: With and Without Graph Structures.
CoRR, January, 2025

GSLTA-CDFSAR: Global Sequences and Local Tuples Alignment for Cross-Domain Few-Shot Action Recognition.
Knowl. Based Syst., 2025

Consistency Prototype Module and Motion Compensation for few-shot action recognition (CLIP-CPM2C).
Neurocomputing, 2025

DMSD-CDFSAR: Distillation from Mixed-Source Domain for Cross-Domain Few-shot Action Recognition.
Expert Syst. Appl., 2025

Incremental self-supervised learning based on transformer for anomaly detection and localization.
Eng. Appl. Artif. Intell., 2025

2024
Multi-view distillation based on multi-modal fusion for few-shot action recognition (CLIP-MDMF).
Knowl. Based Syst., 2024

Task-Specific Alignment and Multiple-level Transformer for few-shot action recognition.
Neurocomputing, 2024

Graph Feedback Bandits with Similar Arms.
CoRR, 2024

Multi-view Distillation based on Multi-modal Fusion for Few-shot Action Recognition(CLIP-M<sup>2</sup>DF).
CoRR, 2024

Graph Feedback Bandits with Similar Arms.
Proceedings of the Uncertainty in Artificial Intelligence, 2024

SFMM: Semantic-to-Frame Matching with Multi-Classifier for Few-shot Action Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2024

Forced Exploration in Bandit Problems.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Consistency Prototype Module and Motion Compensation for Few-Shot Action Recognition (CLIP-CPM<sup>2</sup>C).
CoRR, 2023

Task-Specific Alignment and Multiple Level Transformer for Few-Shot Action Recognition.
CoRR, 2023

Incremental Self-Supervised Learning Based on Transformer for Anomaly Detection and Localization.
CoRR, 2023


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