Journal & Article

Theory & Methods

I/F
# Journal I/F

Information Fusion

MulMoSenT: Multimodal sentiment analysis for a low-resource language using textual-visual cross-attention and fusion Speech emotion recognition: A systematic mega-review of techniques and pipelines ExInCOACH: Strategic exploration meets interactive tutoring for context-aware game onboarding Fusion of quantum computing with smart agriculture: A systematic review of methods, implementation, applications, and challenges Dual-layer prompt ensembles: Leveraging system- and user-level instructions for robust LLM-based query expansion and rank fusion Lifting wavelet transform-guided network with histogram attention for liver segmentation in CT scans A novel knowledge distillation method for graph neural networks with gradient mapping and fusion GeoCraft: A Diffusion Model-based 3D Reconstruction Method driven by image and point cloud fusion GC-Fed: Gradient centralized federated learning with partial client participation Validity-aware context modeling for gradient-guided image inpainting Tokenized EEG signals with large language models for epilepsy detection via multimodal information fusion Integrating visual and audio cues for emotion and gender recognition: A multi modal and multi task approach Shrinkage matters: evidence from accuracy-diversity trade-off in regression ensembles FuseMeter: An efficient framework for generic per-flow traffic measurement ViP-HMNN: a visual pathway-inspired hybrid neural network incorporated with in-memory computing for object recognition ChatAssistDesign: A language-interactive framework for iterative vector floorplan generation via conditional diffusion Vision-language models for person re-identification: a survey and outlook Data augmentation with attentional feature aggregation for node classification in GNNs A comprehensive survey and taxonomy of mamba: Applications, Challenges, and Future Directions FedExIT - missing class-agnostic semi-supervised federated learning with extreme imbalance tackling scheme Span-aware temporal aggregation network for video moment retrieval ST-Imputer: Multivariate dependency-aware diffusion network with physics guidance for spatiotemporal imputation IAENet: An importance-aware ensemble model for 3D point cloud-based anomaly detection Parasite: planting durable backdoors against continual federated model fusion via discriminative feature pushing-pulling Uncertainty-aware multi-view evidence fusion for feature selection in brain network analysis Survey of uncertainty estimation in LLMs - Sources, methods, applications, and challenges Attention-driven contrastive learning for cross-modal hashing with prototypical separation EBMADDPG: Shapley-based explainable moving target defense for edge intelligence-enabled SIoT systems via joint Bayesian Markov games and DRL Multimodal brain network analysis: Research advances and challenges MFF-MTT: a multi-feature fusion-based deep learning algorithm for maneuvering target tracking A comprehensive benchmark of spatial encoding methods for tabular data with deep neural networks VLDBench Evaluating multimodal disinformation with regulatory alignment Deep learning-based astronomical multimodal data fusion: A comprehensive review Dimensional compensation for small-sample and small-size insulator burn mark via RGB-point cloud fusion in power grid inspection TPIN: Text-based parallel interaction network with modality-common and modality-specific for multimodal sentiment analysis Multi-source information fusion through tucker tensor decomposition-based transfer learning for handwriting-Based Alzheimer's disease detection Hierarchical cross-module knowledge transfer based on structural multi-view least squares support vector classification MoMD Transformer: adaptive multi-modal fault diagnosis via knowledge transfer with vibration-current signals GCEPANet: A lightweight and efficient remote sensing image cloud removal network model for optical-SAR image fusion Subgraph-focused biomedical knowledge embedding with bi-semantic encoder for multi-type drug-drug interaction prediction Generating vision-language navigation instructions incorporated fine-grained alignment annotations SynJAC: synthetic-data-driven joint-granular adaptation and calibration for domain specific scanned document key information extraction Multi-modal and multi-condition fault diagnosis of rotating machinery via a heterogeneous graph learning framework DepressInstruct: Instruction tuning of large speech-language models for depression detection Rethink: reveal the impact of semantic distribution transfer from the cross-modal hashing perspective Few-shot harmful meme detection via self-adaption mixture-of-experts Scoping review of multimodal sentiment analysis and summarization: State of the art, challenges and future directions Bridging the sim-to-real gap in RF localization with large-scale synthetic pretraining Internet meme on social media: A comprehensive review and new perspectives A hierarchical information policy fusion framework with multimodal large language models for autonomous guidewire navigation in endovascular procedures