Yong Luo

Physics-Informed Multi-Task Learning for Battery State of Health Prediction with Uncertainty Quantification AAAI 2026 Refining Few-Step Text-to-Multiview Diffusion via Reinforcement Learning CVPR 2026 Rethinking Visual Token Reduction in LVLMs Under Cross-Modal Misalignment AAAI 2026 SRD: Reinforcement-Learned Semantic Perturbation for Backdoor Defense in VLMs AAAI 2026 A Dual Stream Visual Tokenizer for LLM Image Generation IJCAI 2025 Anatomy-Conserving Unpaired CBCT-to-CT Translation via Schrödinger Bridge MICCAI 2025 Decision Mixer: Integrating Long-term and Local Dependencies via Dynamic Token Selection for Decision-Making ICML 2025 Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models AAAI 2025 ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models ACL 2025 FIRING-Net: A filtered feature recycling network for speech enhancement ICLR 2025 FusionBench: A Unified Library and Comprehensive Benchmark for Deep Model Fusion JMLR 2025 MTGA: Multi-View Temporal Granularity Aligned Aggregation for Event-Based Lip-Reading AAAI 2025 Open-Vocabulary Fine-Grained Hand Action Detection IJCAI 2025 Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG ICML 2025 Targeted Low-rank Refinement: Enhancing Sparse Language Models with Precision ICML 2025 Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases ICML 2024 Cycle Self-Refinement for Multi-Source Domain Adaptation AAAI 2024 Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization NeurIPS 2024 Decomposing Semantic Shifts for Composed Image Retrieval AAAI 2024 Eliminating the Cross-Domain Misalignment in Text-guided Image Inpainting IJCAI 2024 Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names CVPR 2024 Joint Input and Output Coordination for Class-Incremental Learning IJCAI 2024 Merging Multi-Task Models via Weight-Ensembling Mixture of Experts ICML 2024 MG-Net: Learn to Customize QAOA with Circuit Depth Awareness NeurIPS 2024 MMSite: A Multi-modal Framework for the Identification of Active Sites in Proteins NeurIPS 2024 OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models ACL 2024 Parameter-Efficient Multi-Task Model Fusion with Partial Linearization ICLR 2024 Zero-shot Learning for Preclinical Drug Screening IJCAI 2024 FedABC: Targeting Fair Competition in Personalized Federated Learning AAAI 2023 Federated Learning with Manifold Regularization and Normalized Update Reaggregation NeurIPS 2023 Improving Heterogeneous Model Reuse by Density Estimation IJCAI 2023 Symmetric Pruning in Quantum Neural Networks ICLR 2023 Dependency Parsing via Sequence Generation EMNLP 2022 Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation AAAI 2022 Federated Learning for Non-IID Data via Unified Feature Learning and Optimization Objective Alignment ICCV 2021 Unsupervised Domain Adaptation Method with Semantic-Structural Alignment for Dependency Parsing EMNLP 2021 Deep Discrete Prototype Multilabel Learning IJCAI 2018 Online Heterogeneous Transfer Metric Learning IJCAI 2018 Exploiting High-Order Information in Heterogeneous Multi-Task Feature Learning IJCAI 2017 General Heterogeneous Transfer Distance Metric Learning via Knowledge Fragments Transfer IJCAI 2017 On Combining Side Information and Unlabeled Data for Heterogeneous Multi-Task Metric Learning IJCAI 2016