Journal & Article

Theory & Methods

I/F
# Journal I/F

Information Fusion

Multimodal fusion for precision livestock behavior monitoring: A systematic review of deep learning, pose estimation, and sensor integration strategies USFnet: A UAV-Shore fusion visual perception framework for inland river shipping intersections Multi-Level collaborative optimization for Multi-Modal media manipulation detection and grounding SPARC: Spatial transcriptomics clustering via adversarially regularized graph and prototypical contrastive representation learning Learning fuzzy measures for multi-distance fusion in ordinal classification Multi-behavior popularity-aware recommendation BiSQAFusion: Multi-level fusion for personalized binaural speech quality assessment in hearing aids EPIPTrack: Rethinking prompt modeling with explicit and implicit prompts for multi-object tracking Trustworthy medical concept recalibration through logic-aware multimodal evidence fusion Reliability-guided hypergraph feature fusion for underwater object detection Rectifying spatiotemporal discrepancies for audio-visual emotion recognition via generative semantic anchors Fuzzy hyperbolic-aware fusion network for cross-domain few-shot hyperspectral image classification Target distribution and Jacobian prior guided lung ventilation image synthesis with global semantic enhancement RALoRA: Rank-adaptive LoRA for incomplete multi-view classification with vision-language foundation models Unsupervised feature selection via stage-wise feedback latent representation and iterative manifold learning A survey of multimodal remote sensing foundation models: Evolution, datasets, applications, and future directions Mixture-of-experts for robust multimodal object detection in UAV imagery with incomplete observations Coupling degree with self-supervised learning for multimodal recommendation Parameter-efficient fine-tuning for multimodal fusion: A survey of injection-driven integration mechanisms SAR: semantic ambiguity relief network for RGB-T semantic segmentation MRDR-SLAM: multi-robot LiDAR localization and mapping with rotation-invariant deep relocalization TARGET: Efficient and generalizable multi-view partial multi-label learning via anchor graphs and high-order tensor correlation Order-preserving fast fusion of discounted evidence for multi-attribute decision-making Learning to prefer: Reward-driven infrared-visible fusion via RWKV Neuro-symbolic information fusion for explainable retrieval-augmented generation in mental health applications: A survey and challenges Fractional class-specific weighted random forest optimization Q-informer: An informer-based framework with quantum-enhanced sparse attention for long-term time series forecasting A multi-modal data fusion and physics-guided temporal graph neural network for tropical cyclone track forecasting A three-stage interpretable linguistic group decision-making model: A perspective of combining concept lattice and adversarial interpretive structure modeling Multi-to-Uni modality knowledge distillation for remote sensing image semantic segmentation LM-PCVMNet: Pediatric cervical vertebral maturation analysis with deep fusion of landmarks and metadata Multi-source observational data fusion for imputing missing confounders in debiased recommendation MVRFDet: Malicious package detection in PyPI ecosystem using multi-view representation fusion Multi-view subspace clustering via latent representation learning and augmented tensorized self-representation Rethinking modality fusion: CT-assisted PET network for efficient 3D tumor segmentation GRL-DDC: A data-driven paradigm for sustainable governance of online information propagation State-of-the-art and future directions in autonomous navigation for UAVs in GNSS-denied environments: A comprehensive review of techniques, architectures, and applications FALCON : An effective and robust method for active clustering with pairwise constraints Brain-inspired synergistic-memory prompt tuning for few-shot class-incremental learning Robust geo-sparse and graph-fusion tensor learning for incomplete multi-view clustering Universal speech steganalysis via coupled-domain progressive fusion UMRL: A unified Multi-modal reinforcement learning for autonomous driving Decision-making at unsignalized intersections Adaptive semantic information fusion in diffusion models for point cloud segmentation with limited annotations Handling modality inconsistency via hierarchical mixture of experts for weakly supervised audio-visual violence detection Functional guidance for whole-protein virtual screening under pocket-unknown and structural ambiguity conditions NeuroAlign: Hierarchical multimodal fusion of dynamic and structural neuroimaging for MCI analysis Transforming noncooperative behavior with dynamic trust and weight incentives mechanism in social network group emergency decision making ASFFNet: Adaptive structural-functional brain connectome fusion for dynamic cognitive inference From single-modal to multi-modal: A survey and perspective on adversarial attacks in multi-modal visual systems 3D object detection and knowledge distillation in autonomous driving: A survey