Songning Lai

Orcid: 0009-0007-3132-9414

According to our database1, Songning Lai authored at least 18 papers between 2022 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A comprehensive review of community detection in graphs.
Neurocomputing, 2024

Wolf2Pack: The AutoFusion Framework for Dynamic Parameter Fusion.
CoRR, 2024

CAT: Concept-level backdoor ATtacks for Concept Bottleneck Models.
CoRR, 2024

DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving.
CoRR, 2024

PEPL: Precision-Enhanced Pseudo-Labeling for Fine-Grained Image Classification in Semi-Supervised Learning.
CoRR, 2024

Real-time Accident Anticipation for Autonomous Driving Through Monocular Depth-Enhanced 3D Modeling.
CoRR, 2024

Case-based reasoning approach for diagnostic screening of children with developmental delays.
CoRR, 2024

CCSRP: Robust Pruning of Spiking Neural Networks through Cooperative Coevolution.
CoRR, 2024

TimeSieve: Extracting Temporal Dynamics through Information Bottlenecks.
CoRR, 2024

FTS: A Framework to Find a Faithful TimeSieve.
CoRR, 2024

Shared and Private Information Learning in Multimodal Sentiment Analysis with Deep Modal Alignment and Self-supervised Multi-Task Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024

Faithful Vision-Language Interpretation via Concept Bottleneck Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Cross-domain car detection model with integrated convolutional block attention mechanism.
Image Vis. Comput., December, 2023

Multimodal sentiment analysis: A survey.
Displays, December, 2023

A Comprehensive Review of Community Detection in Graphs.
CoRR, 2023

Cross-Domain Car Detection Model with Integrated Convolutional Block Attention Mechanism.
CoRR, 2023

Shared and Private Information Learning in Multimodal Sentiment Analysis with Deep Modal Alignment and Self-supervised Multi-Task Learning.
CoRR, 2023

2022
Predicting Lysine Phosphoglycerylation Sites using Bidirectional Encoder Representations with Transformers & Protein Feature Extraction and Selection.
Proceedings of the 15th International Congress on Image and Signal Processing, 2022


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