Shuo Li

Orcid: 0000-0003-2002-3894

Affiliations:
  • Xidian University, School of Artificial Intelligent, MoE Key Laboratory of Intelligent Perception and Image Understanding / International Research Center for Intelligent Perception and Computation, Xi'an, China


According to our database1, Shuo Li authored at least 16 papers between 2022 and 2025.

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

Timeline

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Bibliography

2025
Preserving text space integrity for robust compositional zero-shot learning via mixture of pretrained experts.
Neurocomputing, 2025

2024
Multi-Grained Gradual Inference Model for Multimedia Event Extraction.
IEEE Trans. Circuits Syst. Video Technol., October, 2024

Self-Supervised Self-Organizing Clustering Network: A Novel Unsupervised Representation Learning Method.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Mask-Guided Correlation Learning for Few-Shot Segmentation in Remote Sensing Imagery.
IEEE Trans. Geosci. Remote. Sens., 2024

Multi-modal visual tracking based on textual generation.
Inf. Fusion, 2024

Self-restrained contrastive enhanced network for graph structure learning.
Expert Syst. Appl., 2024

ViLT-CLIP: Video and Language Tuning CLIP with Multimodal Prompt Learning and Scenario-Guided Optimization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Knowledge transfer evolutionary search for lightweight neural architecture with dynamic inference.
Pattern Recognit., November, 2023

Knowledge transduction for cross-domain few-shot learning.
Pattern Recognit., September, 2023

MinEnt: Minimum entropy for self-supervised representation learning.
Pattern Recognit., June, 2023

Learning Salient Feature for Salient Object Detection Without Labels.
IEEE Trans. Cybern., 2023

Task context transformer and GCN for few-shot learning of cross-domain.
Neurocomputing, 2023

2022
MFNet: A Novel GNN-Based Multi-Level Feature Network With Superpixel Priors.
IEEE Trans. Image Process., 2022

Augmentative contrastive learning for one-shot object detection.
Neurocomputing, 2022

Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space.
Proceedings of the Computer Vision - ECCV 2022, 2022

Self-Training Multi-Sequence Learning with Transformer for Weakly Supervised Video Anomaly Detection.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022


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