Neural Information Processing

Frequency-Constraint VQ-VAE for Adaptive MRI Segmentation.- Mixed Text Recognition with Efficient Parameter Fine-Tuning and Transformer Importance Resides In Activations: Fast Input-Based Nonlinearity Pruning.- Open-Vocabulary Self-Interactive Semantic Segmentation.- Fine-Grained Transformer Encoder of Image-Text Retrieval for Streaming Data in Cross-Modal Continual Learning.- Generative AuDio Watermarking Technique (ADWT): robust identification for meaningful regulatory intervention.- CMGH:Label Co-occurrence-Enhanced Contrastive Multi-Granularity Hashing Cross-Modal Retrieval Optimizing Passage Retrieval with Dual-Directional Similarity Propagation.- Text2SPARQL: Grammar Pre-training for Text-to-QDMR Semantic Parsers from Intermediate Question Decompositions.- AMMCR: Adaptive Multi-view Multi-behavior Contrastive Learning Recommendation.- LGCMNet: Multimodal Sentiment Analysis Network Based on Language-Guided Cross-Modal Interaction.- Multi-modal Knowledge Graph Link Prediction via Neural Optimal Transport.- Cross modal Memory Attention Network with Multi-view for Multi-modal Rumor Detection.- NCSV: A Multimodal Benchmark for Negative Chinese Short Video Detection with Social Context Highlight Detection in Podcasts: A Multimodal Deep Learning Approach.- Wongsapat Phuengpanyaloet, Nonpipat Boonruengkhao, Viktor Enhanced Multimodal Aspect-Based Sentiment Analysis by LLM-Generated Rationales.- T-EPTNet: Multi-Task Acoustic Scene Classification with Efficient Parameter Tuning.- Multi-modal Scene Global Fusion Framework for Enhanced Depth Estimation.- AIM-MIL: Adversarial Instance Mining for Robust Multi-Instance Learning in Whole Slide Image Classification.- Asymmetric Language-Aware Feature Learning for Low-Resource Cross-lingual Image Caption.- Progtuning: Progressive Fine-tuning Framework for Transformer-based Language Models.- Optimizing Learnable Frequency-domain Filterbanks for Depression Detection via Speech Representation Disentanglement.- A Novel Visual-Enhanced Dual Stream Long-Term Decision Framework for Large Language Model Agents.- Tailored Domain-specific Summaries: A Two-Stage Method Combining Extractive and Abstractive Summarization Models.- Related Work Generation with Variational Sequential Planning.- Enhanced Stance Detection using Cascaded Siamese Networks with Attention Mechanism.- BPDec: Unveiling the Potential of Masked Language Modeling Decoder in BERT Model Pretraining.- AttentionMix: A guided text data augmentation method relying on attention.- Integrating Narrow-Deep Local and Wide-Shallow Global Convolutional Model for Cloud Workload Prediction.- Boosting Self-Effcacy and Performance of Large Language Models via Verbal Effcacy Stimulations.- OneWORD: Adversarial Text Detection and Prediction Restoration Using One-Word Perturbation.- PVEIN: A Pretrained Vertex Embedding Infer Network for Open-domain Question Answer Scoring.