Songning Lai

Orcid: 0009-0007-3132-9414

According to our database1, Songning Lai authored at least 45 papers between 2022 and 2026.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2026
Orientation-aware detection system for real-time monitoring of cracks in steel structures.
Expert Syst. Appl., 2026

2025
Towards more holistic interpretability: A lightweight disentangled Concept Bottleneck Model.
CoRR, October, 2025

RadioFlow: Efficient Radio Map Construction Framework with Flow Matching.
CoRR, October, 2025

ACE: Attribution-Controlled Knowledge Editing for Multi-hop Factual Recall.
CoRR, October, 2025

LUMA: Low-Dimension Unified Motion Alignment with Dual-Path Anchoring for Text-to-Motion Diffusion Model.
CoRR, September, 2025

VQualA 2025 Challenge on Face Image Quality Assessment: Methods and Results.
CoRR, August, 2025

Mimicking the Physicist's Eye:A VLM-centric Approach for Physics Formula Discovery.
CoRR, August, 2025

Text2Weight: Bridging Natural Language and Neural Network Weight Spaces.
CoRR, August, 2025

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding.
CoRR, June, 2025

You Only Train Once: A Flexible Training Framework for Code Vulnerability Detection Driven by Vul-Vector.
CoRR, June, 2025

ANT: Adaptive Neural Temporal-Aware Text-to-Motion Model.
CoRR, June, 2025

IMTS is Worth Time ⨉ Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction.
CoRR, May, 2025

Towards Reliable Time Series Forecasting under Future Uncertainty: Ambiguity and Novelty Rejection Mechanisms.
CoRR, March, 2025

Adaptive H&E-IHC information fusion staining framework based on feature extra.
CoRR, February, 2025

RMDM: Radio Map Diffusion Model with Physics Informed.
CoRR, January, 2025

Free-T2M: Frequency Enhanced Text-to-Motion Diffusion Model With Consistency Loss.
CoRR, January, 2025

Enhancing domain adaptation for plant diseases detection through Masked Image Consistency in Multi-Granularity Alignment.
Expert Syst. Appl., 2025

Generative knowledge-guided review system for construction disclosure documents.
Adv. Eng. Informatics, 2025

Stable Vision Concept Transformers for Medical Diagnosis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

PEPL: Precision-Enhanced Pseudo-Labeling for Fine-Grained Image Classification in Semi-Supervised Learning.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

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

SegACIL: Solving the Stability-Plasticity Dilemma in Class-Incremental Semantic Segmentation.
CoRR, 2024

Learning New Concepts, Remembering the Old: A Novel Continual Learning.
CoRR, 2024

Guarding the Gate: ConceptGuard Battles Concept-Level Backdoors in Concept Bottleneck Models.
CoRR, 2024

Beyond Task Vectors: Selective Task Arithmetic Based on Importance Metrics.
CoRR, 2024

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation.
CoRR, 2024

Maintaining Informative Coherence: Migrating Hallucinations in Large Language Models via Absorbing Markov Chains.
CoRR, 2024

TS-ACL: A Time Series Analytic Continual Learning Framework for Privacy-Preserving and Class-Incremental Pattern Recognition.
CoRR, 2024

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

CAT: Concept-level backdoor ATtacks for Concept Bottleneck Models.
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

Towards Multi-dimensional Explanation Alignment for Medical Classification.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

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


  Loading...