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 004; Lan Ye (CISP-BMEI, 2022)

Cross-Domain Car Detection Model with Integrated Convolutional Block Attention Mechanism. - Haoxuan Xu; Songning Lai; Yang Yang (CoRR, 2023)

A Comprehensive Review of Community Detection in Graphs. - Songning Lai; Jiakang Li; Yonggang Lu (CoRR, 2023)

Multimodal sentiment analysis: A survey. - Songning Lai; Xifeng Hu; Haoxuan Xu; Zhaoxia Ren; Zhi Liu 004 (Displays, 2023)

Cross-domain car detection model with integrated convolutional block attention mechanism. - Haoxuan Xu; Songning Lai; Xianyang Li; Yang Yang (Image Vis. Comput., 2023)

Faithful Vision-Language Interpretation via Concept Bottleneck Models. - Songning Lai; Lijie Hu; Junxiao Wang; Laure Berti-Équille; Di Wang 015 (ICLR, 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 004 (IJCNN, 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 015 (NeurIPS, 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)

TimeSieve: Extracting Temporal Dynamics through Information Bottlenecks. - Ninghui Feng; Songning Lai; Fobao Zhou; Zhenxiao Yin; Hang Zhao (CoRR, 2024)

CCSRP: Robust Pruning of Spiking Neural Networks through Cooperative Coevolution. - Zichen Song; Jiakang Li; Songning Lai; Sitan Huang (CoRR, 2024)

Case-based reasoning approach for diagnostic screening of children with developmental delays. - Zichen Song; Jiakang Li; Songning Lai; Sitan Huang (CoRR, 2024)

Real-time Accident Anticipation for Autonomous Driving Through Monocular Depth-Enhanced 3D Modeling. - Haicheng Liao; Yongkang Li 003; Chengyue Wang 001; Songning Lai; Zhenning Li; Zilin Bian; Jaeyoung Lee 001; Zhiyong Cui; Guohui Zhang 001; ChengZhong Xu 001 (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)

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)

Wolf2Pack: The AutoFusion Framework for Dynamic Parameter Fusion. - Bowen Tian; Songning Lai; 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 001; Houbing Herbert Song; Huiping Zhuang (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)

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)

Beyond Task Vectors: Selective Task Arithmetic Based on Importance Metrics. - Bowen Tian; Songning Lai; Jiemin Wu; Zhihao Shuai; Shiming Ge; 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)

Learning New Concepts, Remembering the Old: A Novel Continual Learning. - Songning Lai; Mingqian Liao; Zhangyi Hu; Jiayu Yang; Wenshuo Chen; Yutao Yue (CoRR, 2024)

SegACIL: Solving the Stability-Plasticity Dilemma in Class-Incremental Semantic Segmentation. - Jiaxu Li; Songning Lai; Rui Li; Di Fang 004; Kejia Fan; Jianheng Tang 001; Yuhan Zhao; Rongchang Zhao; Dongzhan Zhou; Yutao Yue; Huiping Zhuang (CoRR, 2024)

A comprehensive review of community detection in graphs. - Jiakang Li; Songning Lai; Zhihao Shuai; Yuan Tan; Yifan Jia 010; Mianyang Yu; Zichen Song; Xiaokang Peng; Ziyang Xu; Yongxin Ni; Haifeng Qiu; Jiayu Yang; et al. (Neurocomputing, 2024)

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 (ICASSP, 2025)

Generative knowledge-guided review system for construction disclosure documents. - Hongru Xiao; Jiankun Zhuang; Bin Yang 029; Jiale Han; Yantao Yu; Songning Lai (Adv. Eng. Informatics, 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)

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, 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, 2025)

Adaptive H&E-IHC information fusion staining framework based on feature extra. - Yifan Jia; Xingda Yu; Zhengyang Ji; Songning Lai; Yutao Yue (CoRR, 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, 2025)

Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction. - Bonan Wang; Haicheng Liao; Chengyue Wang 001; Bin Rao; Yanchen Guan; Guyang Yu; Jiaxun Zhang; Songning Lai; Chengzhong Xu 001; Zhenning Li (CoRR, 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, 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 029; Yutao Yue (CoRR, 2025)

Stable Vision Concept Transformers for Medical Diagnosis. - Lijie Hu; Songning Lai; Yuan Hua; Shu Yang; Jingfeng Zhang; Di Wang (CoRR, 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, 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; et al. (CoRR, 2025)

Text2Weight: Bridging Natural Language and Neural Network Weight Spaces. - Bowen Tian; Wenshuo Chen; Zexi Li; Songning Lai; Jiemin Wu; Yutao Yue (CoRR, 2025)