Hua Wang

Decoding with Structured Awareness: Integrating Directional, Frequency-Spatial, and Structural Attention for Medical Image Segmentation AAAI 2026 Exploiting All Mamba Fusion for Efficient RGB-D Tracking AAAI 2026 IdealTSF: Can Non-Ideal Data Contribute to Enhancing the Performance of Time Series Forecasting Models? AAAI 2026 IGIANet: Illumination Guided Implicit Alignment Network for Infrared–Visible UAV Detection AAAI 2026 MoEA-Net: Modality-Incremental Expert Aggregation Network for Retinal Prognostic Prediction AAAI 2026 Neural Outline Cache for Real-time Anti-aliasing Font Rendering AAAI 2026 Reallocating Attention Across Layers to Reduce Multimodal Hallucination CVPR 2026 TimeSAF: Towards LLM-Guided Semantic Asynchronous Fusion for Time Series Forecasting ACL 2026 URPO: A Unified Reward & Policy Optimization Framework for Large Language Models AAAI 2026 Round Attention: A Novel Round-Level Attention Mechanism to Accelerate LLM Inference ACML 2025 TurboRAG: Accelerating Retrieval-Augmented Generation with Precomputed KV Caches for Chunked Text EMNLP 2025 Skip-Timeformer: Skip-Time Interaction Transformer for Long Sequence Time-Series Forecasting IJCAI 2024 DP-HyPO: An Adaptive Private Framework for Hyperparameter Optimization NeurIPS 2023 I2CNet: An Intra- and Inter-Class Context Information Fusion Network for Blastocyst Segmentation IJCAI 2022 SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction EMNLP 2022 Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations NeurIPS 2021 Integrating Static and Dynamic Data for Improved Prediction of Cognitive Declines Using Augmented Genotype-Phenotype Representations AAAI 2021 Learning Multi-Modal Biomarker Representations via Globally Aligned Longitudinal Enrichments AAAI 2020 Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers CVPR 2020 The Complete Lasso Tradeoff Diagram NeurIPS 2020 Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L21-Norm Distances IJCAI 2019 Learning Strictly Orthogonal p-Order Nonnegative Laplacian Embedding via Smoothed Iterative Reweighted Method IJCAI 2019 Visual Place Recognition via Robust ℓ2-Norm Distance Based Holism and Landmark Integration AAAI 2019 High-Order Co-Clustering via Strictly Orthogonal and Symmetric L1-Norm Nonnegative Matrix Tri-Factorization IJCAI 2018 Learning Multi-Instance Enriched Image Representations via Non-Greedy Ratio Maximization of the l1-Norm Distances CVPR 2018 Neural Sparse Topical Coding ACL 2018 Enforcing Template Representability and Temporal Consistency for Adaptive Sparse Tracking IJCAI 2016 Robust Multimodal Sequence-Based Loop Closure Detection via Structured Sparsity RSS 2016 Robust Multi-Relational Clustering via ℓ1-Norm Symmetric Nonnegative Matrix Factorization ACL 2015 Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization ICML 2014 Adaptive Loss Minimization for Semi-Supervised Elastic Embedding IJCAI 2013 Early Active Learning via Robust Representation and Structured Sparsity IJCAI 2013 Heterogeneous Visual Features Fusion via Sparse Multimodal Machine CVPR 2013 Multi-View Clustering and Feature Learning via Structured Sparsity ICML 2013 Protein Function Prediction via Laplacian Network Partitioning Incorporating Function Category Correlations IJCAI 2013 Robust and Discriminative Self-Taught Learning ICML 2013 Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization ICCV 2013 High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction NeurIPS 2012 Maximum Margin Multi-Instance Learning NeurIPS 2011