Songning Lai

According to our database, Songning Lai authored at least 38 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Text2Weight: Bridging Natural Language and Neural Network Weight Spaces.

Bowen Tian, Wenshuo Chen, Zexi Li, Songning Lai, Jiemin Wu, Yutao Yue

CoRR, August, 2025

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

Runwei Guan, Ningwei Ouyang, Tianhao Xu, Shaofeng Liang, Wei Dai, Yafeng Sun, Shang Gao, Songning Lai, Shanliang Yao, Xuming Hu, Ryan Wen Liu, Yutao Yue, Hui Xiong

CoRR, June, 2025

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

Bowen Tian, Zhengyang Xu, Mingqiang Wu, Songning Lai, Yutai Yue

CoRR, June, 2025

Stable Vision Concept Transformers for Medical Diagnosis.

Lijie Hu, Songning Lai, Yuan Hua, Shu Yang, Jingfeng Zhang, Di Wang

CoRR, June, 2025

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

Wenshuo Chen, Kuimou Yu, Haozhe Jia, Kaishen Yuan, Bowen Tian, Songning Lai, Hongru Xiao, Erhang Zhang, Lei Wang, Yutao Yue

CoRR, June, 2025

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

Zhangyi Hu, Jiemin Wu, Hua Xu, Mingqian Liao, Ninghui Feng, Bo Gao, Songning Lai, Yutao Yue

CoRR, May, 2025

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

Bonan Wang, Haicheng Liao, Chengyue Wang, Bin Rao, Yanchen Guan, Guyang Yu, Jiaxun Zhang, Songning Lai, Chengzhong Xu, Zhenning Li

CoRR, May, 2025

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

Ninghui Feng, Songning Lai, Xin Zhou, Jiayu Yang, Kunlong Feng, Zhenxiao Yin, Fobao Zhou, Zhangyi Hu, Yutao Yue, Yuxuan Liang, Boyu Wang, Hang Zhao

CoRR, March, 2025

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

Yifan Jia, Xingda Yu, Zhengyang Ji, Songning Lai, Yutao Yue

CoRR, February, 2025

RMDM: Radio Map Diffusion Model with Physics Informed.

Haozhe Jia, Wenshuo Chen, Zhihui Huang, Hongru Xiao, Nanqian Jia, Keming Wu, Songning Lai, Yutao Yue

CoRR, January, 2025

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

Wenshuo Chen, Haozhe Jia, Songning Lai, Keming Wu, Hongru Xiao, Lijie Hu, Yutao Yue

CoRR, January, 2025

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

Guinan Guo, Songning Lai, Qingyang Wu, Yuntao Shou, Wenxu Shi

Expert Syst. Appl., 2025

Generative knowledge-guided review system for construction disclosure documents.

Hongru Xiao, Jiankun Zhuang, Bin Yang, Jiale Han, Yantao Yu, Songning Lai

Adv. Eng. Informatics, 2025

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

Bowen Tian, Songning Lai, Lujundong Li, Zhihao Shuai, Runwei Guan, Tian Wu, Yutao Yue

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

A comprehensive review of community detection in graphs.

Jiakang Li, Songning Lai, Zhihao Shuai, Yuan Tan, Yifan Jia, Mianyang Yu, Zichen Song, Xiaokang Peng, Ziyang Xu, Yongxin Ni, Haifeng Qiu, Jiayu Yang, Yutong Liu, Yonggang Lu

Neurocomputing, 2024

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

Jiaxu Li, Songning Lai, Rui Li, Di Fang, Kejia Fan, Jianheng Tang, Yuhan Zhao, Rongchang Zhao, Dongzhan Zhou, Yutao Yue, Huiping Zhuang

CoRR, 2024

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

Songning Lai, Mingqian Liao, Zhangyi Hu, Jiayu Yang, Wenshuo Chen, Yutao Yue

CoRR, 2024

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

Songning Lai, Yu Huang, Jiayu Yang, Gaoxiang Huang, Wenshuo Chen, Yutao Yue

CoRR, 2024

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

Bowen Tian, Songning Lai, Jiemin Wu, Zhihao Shuai, Shiming Ge, Yutao Yue

CoRR, 2024

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

Ruiqiang Xiao, Songning Lai, Yijun Yang, Jiemin Wu, Yutao Yue, Lei Zhu

CoRR, 2024

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

Jiemin Wu, Songning Lai, Ruiqiang Xiao, Tianlang Xue, Jiayu Yang, Yutao Yue

CoRR, 2024

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

Kejia Fan, Jiaxu Li, Songning Lai, Linpu Lv, Anfeng Liu, Jianheng Tang, Houbing Herbert Song, Huiping Zhuang

CoRR, 2024

Wolf2Pack: The AutoFusion Framework for Dynamic Parameter Fusion.

Bowen Tian, Songning Lai, Yutao Yue

CoRR, 2024

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

Songning Lai, Jiayu Yang, Yu Huang, Lijie Hu, Tianlang Xue, Zhangyi Hu, Jiaxu Li, Haicheng Liao, Yutao Yue

CoRR, 2024

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

Songning Lai, Tianlang Xue, Hongru Xiao, Lijie Hu, Jiemin Wu, Ninghui Feng, Runwei Guan, Haicheng Liao, Zhenning Li, Yutao Yue

CoRR, 2024

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

Haicheng Liao, Yongkang Li, Chengyue Wang, Songning Lai, Zhenning Li, Zilin Bian, Jaeyoung Lee, Zhiyong Cui, Guohui Zhang, ChengZhong Xu

CoRR, 2024

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

Zichen Song, Jiakang Li, Songning Lai, Sitan Huang

CoRR, 2024

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

Zichen Song, Jiakang Li, Songning Lai, Sitan Huang

CoRR, 2024

TimeSieve: Extracting Temporal Dynamics through Information Bottlenecks.

Ninghui Feng, Songning Lai, Fobao Zhou, Zhenxiao Yin, Hang Zhao

CoRR, 2024

FTS: A Framework to Find a Faithful TimeSieve.

Songning Lai, Ninghui Feng, Haochen Sui, Ze Ma, Hao Wang, Zichen Song, Hang Zhao, Yutao Yue

CoRR, 2024

Towards Multi-dimensional Explanation Alignment for Medical Classification.

Lijie Hu, Songning Lai, Wenshuo Chen, Hongru Xiao, Hongbin Lin, Lu Yu, Jingfeng Zhang, Di Wang

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.

Songning Lai, Jiakang Li, Guinan Guo, Xifeng Hu, Yulong Li, Yuan Tan, Zichen Song, Yutong Liu, Zhaoxia Ren, Chun Wang, Danmin Miao, Zhi Liu

Proceedings of the International Joint Conference on Neural Networks, 2024

Faithful Vision-Language Interpretation via Concept Bottleneck Models.

Songning Lai, Lijie Hu, Junxiao Wang, Laure Berti-Équille, Di Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

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

Haoxuan Xu, Songning Lai, Xianyang Li, Yang Yang

Image Vis. Comput., December, 2023

Multimodal sentiment analysis: A survey.

Songning Lai, Xifeng Hu, Haoxuan Xu, Zhaoxia Ren, Zhi Liu

Displays, December, 2023

A Comprehensive Review of Community Detection in Graphs.

Songning Lai, Jiakang Li, Yonggang Lu

CoRR, 2023

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

Haoxuan Xu, Songning Lai, Yang Yang

CoRR, 2023

2022

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

Songning Lai, Xifeng Hu, Jing Han, Chun Wang, Subhas Mukhopadhyay, Zhi Liu, Lan Ye

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