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 A survey of multimodal fusion for Alzheimer’s disease prediction: A new taxonomy and trends Multimodal spatio-temporal fusion: A generalizable GCN-LSTM with attention framework for urban application GIAFormer: A Gradient-Infused Attention and Transformer for Pain Assessment with EDA-fNIRS Fusion Code-driven programming prediction enhanced by LLM with a feature fusion approach Data fusion for low-cost sensors: A systematic literature review Adversarial perturbation for RGB-T tracking via intra-modal excavation and cross-modal collusion IDFL: Incentive-driven federated learning with selfish clients StegaFusion: Steganography for information hiding and fusion in multimodality An adaptive regularized topological segmentation network integrating inter-class relations and occlusion information for vehicle component recognition MSTFDN: An EEG-fNIRS multimodal spatial-temporal fusion decoding network for personalized multi-task scenarios Unsupervised multimodal graph completion networks with multi-level contrastiveness for modality-missing conversation understanding Crowdsourced federated learning with inconsistent label representation Grading-inspired complementary enhancing for multimodal sentiment analysis Vision-language model with siamese bilateral difference network and text-guided image feature enhancement for acute ischemic stroke outcome prediction on CT angiography MCIVA: A multi-view pedestrian detection framework with a central inverse nearest neighbor map and a view adaptive module Adaptive virtual anchors for efficient and stable clustering over large multi-view attributed graphs Information-theoretic graph fusion with vision-language-action model for policy reasoning and dual robotic control All-weather multi-modality image fusion: Unified framework and 100k benchmark Large multimodal models for low-resource languages: A survey Unleashing Mamba’s expressive power: A non-tradeoff approach to spatio-temporal forecasting SU-RMT: Toward bridging semantic representation and structural detail modeling for medical image segmentation Multiple channel access and power control for discount-average weighting criterion over multi-sensor and Markovian fading environments A two-stage learning network for PVINS modeling and fusion estimation in challenging environments Shape-aware osteoarthritis network: Bidirectional fusion of MRI and 3D point clouds for knee osteoarthritis diagnosis PGSC: A gradient sparsification communication optimization criterion for nonequilibrium thermodynamics 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