Journal & Article

Theory & Methods

I/F
# Journal I/F

Information Fusion

Evaluating and regulating agentic AI: A study of benchmarks, metrics, and regulation Generalization saturation and reasoning divergence in synthetic persona construction for role-enacted language modeling Knowledge-enhanced consistency learning with disentangled multimodal representation for misinformation detection DAP-former: A physics-aware dual-stream fusion transformer for robust industrial time-series forecasting FDSMM: fusion-driven signals-to-mechanisms modelling with physics-constrained information integration and entropy-based fault evolution CausalCEM: Self-improved causal counterfactual emotion modeling for multimodal physiological signals Federated learning with context-aware client collaboration: Challenges, advances, and open problems SGA-SAC: Fusing Bayesian Stackelberg games to DRL with graph attention for explainable task offloading in vehicular edge computing Fusion of advanced machine learning techniques in digital manipulation detection on identity card attacks U2ENet: Unified end-to-end network for monocular image-based single-object and multi-object 3D visual grounding Responsible AI in healthcare: Mitigating hallucinations and enhancing multimodal fusion - based reasoning in medical imaging Knowledge-enhanced explicitly disentangled representation with missing modality for medical image diagnosis A brain-inspired low-light and infrared multimodal remote sensing detection network for nighttime personnel search and rescue Rank-aware routing decomposition for hyperspectral and multispectral image fusion Probabilistic multi-label classification via a divide-and-conquer and fusion approach Physics-guided stokes-consistent fusion of DoLP–AoP representations for polarization image restoration MeSIF-Net: Multi-level cross-scale information fusion via knowledge distillation for low-resolution industrial surface defect detection Motion estimation for multi-object tracking using KalmanNet with semantic-independent encoding TA-Diff: Topology-aware diffusion networks for joint 3D hand pose estimation and mesh reconstruction GIF-Calib: Geometry-intensity fusion for 4D radar-camera calibration in autonomous driving vehicles Bridging 3D geometry and 1D temporal signals: A symmetric masked pre-training framework for heterogeneous multimodal fusion PhraseEx: Enhancing back-translation data augmentation with phrase-level extraction for neural machine translation Conditional diffusion transformer enabled few-shot spatiotemporal modeling Toward trustworthy digital healthcare: A system-level convergence of IoMT, large language models, and explainable AI VQFusion : Infrared and visible image fusion via codebook prior guidance Trusted multi-factor fusion: A quantitative model for the confidence of naturalistic stimuli and multimodal neural responses Listen2Track: Plug-and-play audio-visual matching for generic multi-object tracking Hinting the unknown: Effective open-set multimodal emotion recognition with a hierarchical cross-modal emotion-interactive prompting approach FEAP-DiT: Frequency-decoupled efficient adversarial purification with diffusion transformers Decoding emotional nuances: A multimodal approach to detecting depression through audio, video, and text Multi-Gaussian target tracking with binary detectors SAFEDEC: Unifying proprioceptive and exteroceptive sensing for safe autonomous driving Fusion of pseudo-label learning and subspace-structured graph for embedded feature selection Nash equilibrium-guided dynamic cross-scale fusion and manifold alignment for remote sensing image semantic segmentation Adaptive retrieval-augmented evidence-fusion for highly heterogeneous temporal entity alignment Bridging quantum walks and graph learning: A fusion approach to structural encoding Prediction of postoperative outcomes in spinal cord surgery via fusion of point-cloud geometric features and radiomics DinoMamba: Semantic-prior-guided sequence modeling paradigm for underwater image enhancement Mitigating Clever Hans strategies in image classifiers through generating counterexamples LGCS-WA: Loss-guided clustering and dynamic client selection with weight adaptation for clustered federated learning Diffusion-based frequency degradation prior fusion with hierarchical wavelet decompositions for underwater image enhancement FedKSS: One-shot federated learning with kernel space statistics A language-guided visual feature learning strategy for multimodal teacher action quality assessment UFFL: Bridging slide- and cell-level annotations via unified feature fusion learning for cervical cancer screening CCRDet: Cross-modal complementary region-aware framework for drone-based RGBT tiny person detection BuildingCD-Mamba: An efficient shuffle-scan mamba with temporal-spatial feature fusion for urban building change detection MTF-BFE: a multi-task learning framework for building footprint extraction by fusing historical cadastral maps with up-to-date remote sensing images Dominance and complementarity in cross-modal representation learning for wearable time series TGC-Net: a structure-aware and semantically-aligned framework for text-guided medical image segmentation Heterogeneous model fusion for privacy-aware multi-Camera surveillance via synthetic domain adaptation