Baolin Liu

Orcid: 0000-0003-0975-2316

Affiliations:
  • University of Science and Technology Beijing, School of Computer and Communication Engineering, China


According to our database1, Baolin Liu authored at least 15 papers between 2018 and 2025.

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

Timeline

2018
2019
2020
2021
2022
2023
2024
2025
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Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
An fMRI-based auditory decoding framework combined with convolutional neural network for predicting the semantics of real-life sounds from brain activity.
Appl. Intell., January, 2025

2024
An fMRI-based visual decoding framework combined with two-stage learning and asynchronous iterative update strategy.
Pattern Anal. Appl., December, 2024

Semantic-guided spatio-temporal attention for few-shot action recognition.
Appl. Intell., February, 2024

TFRS: A task-level feature rectification and separation method for few-shot video action recognition.
Neural Networks, 2024

A multimodal fusion-based deep learning framework combined with local-global contextual TCNs for continuous emotion recognition from videos.
Appl. Intell., 2024

2023
Construction of the brain-inspired computing model verified by spatiotemporal correspondence between the hierarchical computation of the model and the complex multi-stage processing of the human brain during facial expression recognition.
Appl. Intell., November, 2023

OTDE: optimal transport distribution enhancement for few-shot video recognition.
Appl. Intell., July, 2023

Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

PS-SA: An Efficient Self-Attention via Progressive Sampling for User Behavior Sequence Modeling.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
KDM: A knowledge-guided and data-driven method for few-shot video action recognition.
Neurocomputing, 2022

2021
Reconstruction of natural images from evoked brain activity with a dictionary-based invertible encoding procedure.
Neurocomputing, 2021

2020
Investigating the Impact of the Missing Significant Objects in Scene Recognition Using Multivariate Pattern Analysis.
Frontiers Neurorobotics, 2020

Visual Encoding and Decoding of the Human Brain Based on Shared Features.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
Modality-general representations of valences perceived from visual and auditory modalities.
NeuroImage, 2019

2018
Decoding natural images from evoked brain activities using encoding models with invertible mapping.
Neural Networks, 2018


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