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Songning Lai

Orcid: 0009-0007-3132-9414

According to our database¹, Songning Lai authored at least 56 papers between 2022 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2026

Da Yu: Toward ASV-Based Image Captioning for Waterway Surveillance and Scene Understanding.

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IEEE Trans. Circuits Syst. Video Technol., May, 2026

SECURE: Stable Early Collision Understanding via Robust Embeddings in Autonomous Driving.

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CoRR, April, 2026

Multimodal Deception in Explainable AI: Concept-Level Backdoor Attacks on Concept Bottleneck Models.

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Trans. Mach. Learn. Res., 2026

TPTD: A trusted privacy-preserving truth discovery scheme for quality enhancement in team-based mobile crowd sensing.

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Houbing Herbert Song

Knowl. Based Syst., 2026

Orientation-aware detection system for real-time monitoring of cracks in steel structures.

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Expert Syst. Appl., 2026

Towards Better Evaluation Metrics for Text-to-Motion Generation.

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Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

2025

Towards more holistic interpretability: A lightweight disentangled Concept Bottleneck Model.

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CoRR, October, 2025

RadioFlow: Efficient Radio Map Construction Framework with Flow Matching.

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CoRR, October, 2025

ACE: Attribution-Controlled Knowledge Editing for Multi-hop Factual Recall.

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CoRR, October, 2025

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

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CoRR, September, 2025

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

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CoRR, August, 2025

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

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CoRR, June, 2025

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

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CoRR, June, 2025

ANT: Adaptive Neural Temporal-Aware Text-to-Motion Model.

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CoRR, June, 2025

Towards Reliable Time Series Forecasting under Future Uncertainty: Ambiguity and Novelty Rejection Mechanisms.

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CoRR, March, 2025

Adaptive H&E-IHC information fusion staining framework based on feature extra.

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CoRR, February, 2025

RMDM: Radio Map Diffusion Model with Physics Informed.

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CoRR, January, 2025

Free-T2M: Frequency Enhanced Text-to-Motion Diffusion Model With Consistency Loss.

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CoRR, January, 2025

Enhancing domain adaptation for plant diseases detection through Masked Image Consistency in Multi-Granularity Alignment.

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Expert Syst. Appl., 2025

Generative knowledge-guided review system for construction disclosure documents.

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Adv. Eng. Informatics, 2025

Stable Vision Concept Transformers for Medical Diagnosis.

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Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

Can Audio Language Models Listen Between the Lines? A Study on Metaphorical Reasoning via Unspoken.

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ZhixueSong ZhixueSong

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Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Text2Weight: Bridging Natural Language and Neural Network Weight Spaces.

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Proceedings of the 33rd ACM International Conference on Multimedia, 2025

CFSSeg: Closed-Form Solution for Class-Incremental Semantic Segmentation of 2D Images and 3D Point Clouds.

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Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Learning New Concepts, Remembering the Old: Continual Learning for Multimodal Concept Bottleneck Models.

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Proceedings of the 33rd ACM International Conference on Multimedia, 2025

From Guesswork to Guarantee: Towards Faithful Multimedia Web Forecasting with TimeSieve.

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Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Physics-Informed Representation Alignment for Sparse Radio-Map Reconstruction.

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Proceedings of the 33rd ACM International Conference on Multimedia, 2025

ANT: Adaptive Neural Temporal-Aware Text-to-Motion Model.

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Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction.

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Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

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

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Proceedings of the IEEE International Conference on Robotics and Automation, 2025

IMTS is Worth Time × Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction.

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Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

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MohammadAli Hamidi

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Rakhil Immidisetti

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Ajay Narasimha Mopidevi

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Vishwajeet Shukla

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Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

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

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Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

A comprehensive review of community detection in graphs.

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Neurocomputing, 2024

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

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CoRR, 2024

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

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CoRR, 2024

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

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CoRR, 2024

Beyond Task Vectors: Selective Task Arithmetic Based on Importance Metrics.

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CoRR, 2024

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

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CoRR, 2024

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

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CoRR, 2024

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

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Houbing Herbert Song

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CoRR, 2024

Wolf2Pack: The AutoFusion Framework for Dynamic Parameter Fusion.

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CoRR, 2024

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

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CoRR, 2024

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

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CoRR, 2024

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

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CoRR, 2024

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

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CoRR, 2024

TimeSieve: Extracting Temporal Dynamics through Information Bottlenecks.

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CoRR, 2024

FTS: A Framework to Find a Faithful TimeSieve.

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CoRR, 2024

Towards Multi-dimensional Explanation Alignment for Medical Classification.

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Proceedings of the Advances in Neural Information Processing Systems 37: 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.

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Proceedings of the International Joint Conference on Neural Networks, 2024

Faithful Vision-Language Interpretation via Concept Bottleneck Models.

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Laure Berti-Équille

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Cross-domain car detection model with integrated convolutional block attention mechanism.

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Image Vis. Comput., December, 2023

Multimodal sentiment analysis: A survey.

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Displays, December, 2023

A Comprehensive Review of Community Detection in Graphs.

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CoRR, 2023

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

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CoRR, 2023

2022

Predicting Lysine Phosphoglycerylation Sites using Bidirectional Encoder Representations with Transformers & Protein Feature Extraction and Selection.

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Subhas Mukhopadhyay

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Proceedings of the 15th International Congress on Image and Signal Processing, 2022

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