Haozhao Wang

Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs AAAI 2026 Data-Centric Sequential Recommendation with Relation-Augmented Generation AAAI 2026 E$^2$-SCI: Elastic Edge-Cloud Speculative Decoding via Credit Inertia CVPR 2026 FedCD: Towards Consolidated Distillation for Heterogeneous Federated Learning AAAI 2026 MR-RAG: Multimodal Relevance-Aware Retrieval-Augmented Generation for Medical Visual Question Answering CVPR 2026 Ripple Shapley: Data Influence Attribution in One Federated Training Run AAAI 2026 UMPIRE: Unveiling LLM-generated Posts via Redundant Expressions ACL 2026 Unbiased Rectification for Sequential Recommender Systems Under Fake Orders AAAI 2026 Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets ICML 2025 Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics ICML 2025 Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization ICLR 2025 BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach ICML 2025 DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning Under Two-sided Incomplete Information IJCAI 2025 FedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence ICML 2025 Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack ICCV 2025 Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models ICLR 2025 The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning ICML 2025 C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation CVPR 2024 Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling AAAI 2024 Dual Expert Distillation Network for Generalized Zero-Shot Learning IJCAI 2024 FedBAT: Communication-Efficient Federated Learning via Learnable Binarization ICML 2024 FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation ICLR 2024 Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization NeurIPS 2024 Knowledge-Aware Parameter Coaching for Personalized Federated Learning AAAI 2024 Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement AAAI 2024 Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection ECCV 2024 Personalized Federated Domain-Incremental Learning based on Adaptive Knowledge Matching ECCV 2024 ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning AAAI 2024 Towards Efficient Replay in Federated Incremental Learning CVPR 2024 Aligning Language Models with Human Preferences via a Bayesian Approach NeurIPS 2023 DaFKD: Domain-Aware Federated Knowledge Distillation CVPR 2023 D-Separation for Causal Self-Explanation NeurIPS 2023 MGR: Multi-generator Based Rationalization ACL 2023 PMR: Prototypical Modal Rebalance for Multimodal Learning CVPR 2023 FR: Folded Rationalization with a Unified Encoder NeurIPS 2022 Parameterized Knowledge Transfer for Personalized Federated Learning NeurIPS 2021