Baolin Liu
Orcid: 0000-0003-0975-2316Affiliations:
- University of Science and Technology Beijing, School of Computer and Communication Engineering, China
According to our database1,
Baolin Liu authored at least 23 papers
between 2018 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
TPIN: Text-based parallel interaction network with modality-common and modality-specific for multimodal sentiment analysis.
Inf. Fusion, 2026
AVD-MDet : Knowledge-guided heterogeneous audio-visual alignment for small object detection.
Inf. Fusion, 2026
Expert Syst. Appl., 2026
2025
Creative4U: MLLMs-based Advertising Creative Image Selector with Comparative Reasoning.
CoRR, August, 2025
IEEE Trans. Neural Networks Learn. Syst., July, 2025
CoRR, February, 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
Interpretable Word Representation Learning Framework for Modeling Semantic Relevance in E-commerce.
Proceedings of the Database Systems for Advanced Applications, 2025
LLM-Based Keyphrase-Augmented Framework for Semantic Relevance Assessment in E-Commerce.
Proceedings of the Database Systems for Advanced Applications, 2025
2024
An fMRI-based visual decoding framework combined with two-stage learning and asynchronous iterative update strategy.
Pattern Anal. Appl., December, 2024
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
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
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