Journal & Article

Artificial Intelligence

I/F
# Journal I/F

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Uncertainty Quantification in Detection Transformers: Object-Level Calibration and Image-Level Reliability RBF++: Quantifying and Optimizing Reasoning Boundaries Across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning AnimateAnyMesh++: A Flexible Feed-Forward Framework for High-Fidelity Text-Driven Mesh Animation A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation How Powerful are Hypergraph Neural Networks? DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving A Unified and Fast-Sampling Diffusion Bridge Framework via Stochastic Optimal Control NP-Hardness of Minimizing Neurons in Two-Hidden-Layer ReLU Neural Networks Calibratable Disambiguation Loss for Multi-Instance Partial-Label Learning PI-H2T: Enhancing Long-Tailed Visual Recognition With Permutation-Invariant and Head-to-Tail Feature Fusion MEGO: Learning Mixture-of-Experts for General-Purpose Binary Optimization Discovering Utility-Driven Interval Rules FedAdOb: Privacy-Preserving Federated Deep Learning With Adaptive Obfuscation PrefixQuant: Eliminating Outliers by Prefixed Tokens for Large Language Models Quantization Robust Personalized Federated Continual Learning via Explainable Multi-Granularity Prompt Grad-ECLIP: Gradient-Based Visual and Textual Explanations for CLIP Foundation Models Based Scene Graph Generation Study of Full-View Finger Vein Biometrics on Redundancy-Compensated 3D Reconstruction and Frequency-Spatial Coupling Feature Extraction Retraction-Free Optimization Over the Stiefel Manifold for the LoRA Fine-Tuning Early Stopping Without Validation Data in Weakly Supervised Learning Oracle-Guided Masked Contrastive Reinforcement Learning for Visuomotor Policies Aligning Condensed Graph via Hashing: A New Insight for Federated Graph Learning STPP: Efficient and Progressive Structured Pruning via Enhanced Sparsification Paradigm AdaptCMVC++: Robust and Flexible Adaptation to Incremental Views in Continual Multi-View Clustering UniNDM: A Unified Noise-Driven Detection and Mitigation Framework Against Sexual Content in Text-to-Image Generation Replication in Visual Diffusion Models: A Survey and Outlook Threat in Frequency: Unveiling Hidden Attack Surfaces by Exploiting Stealthy Backdoors on Diffusion Models ManlyMM-VAE: Deep Clustering With Manly Transformation Mixture Latent Embeddings for High-Dimensional Skewed Data SymBOL: A General-Purpose Symbolic Learner for Scientific Discovery Using Bayesian Optimization-Enhanced Large Language Models CoNav: Collaborative Cross-Modal Reasoning for Embodied Navigation Factor-Assisted Federated Learning for Personalized Optimization With Heterogeneous Data Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Prototype-Anchored Generalized Manifold Regression for Unknown-Domain Object Detection Propagating Cross-View Semantics for Multi-View Clustering: A Unified Anchor Refinement Paradigm Integrating Agglomerative Perception With One-Step Action Generation for Robotic Manipulation On the Design of Mixture-of-Experts for Dynamic Gaussian Splatting Diminishing Return of Value Expansion Methods MFSR: Multi-Fractal Feature for Super-Resolution Reconstruction With Fine Details Recovery Generative Retrieval for Unsupervised Text-Based Person Search BRFedTD: A Novel Framework for Federated Reinforcement Learning With Byzantine-Resilient Policy Evaluation MIDAS: Mutual Information Disentanglement With Uncertainty-Aware Fusion for Incomplete Multimodal Sentiment Analysis How Relation Enrichment Improves Clustering Ensemble Performance: A Second Order Induced Relation View AI-Empowered Quantum Circuit Synthesis and Compilation Optimization: Overview and Prospects Incomplete Multimodal Probability Flow Recovery for Emotion Recognition Neurodynamic Approaches With Fixed-Step Optimality for Rank Minimization: A Data-Driven Framework Consensus-Driven Distillation for Trustworthy Explanations in Self-Interpretable GNNs Low-Precision Training of Large Language Models: Methods, Challenges, and Opportunities BitNet v2: Low-Bit and Sparsified Activations for 1-Bit Large Language Models RingMo-Agent: A Unified Remote Sensing Foundation Model for Multi-Platform and Multi-Modal Reasoning Universal Representation for Real-World Misaligned Infrared-Visible Image Fusion