Ruixuan Li

Addressing Exacerbated Attention Sink for Source-Free Cross-Domain Few-Shot Learning CVPR 2026 CascadeNet: Generating Network Traffic with High-Fidelity Temporal Patterns NSDI 2026 Data-Centric Sequential Recommendation with Relation-Augmented Generation AAAI 2026 E$^2$-SCI: Elastic Edge-Cloud Speculative Decoding via Credit Inertia CVPR 2026 Interpretable Cross-Domain Few-Shot Learning with Rectified Target-Domain Local Alignment CVPR 2026 Mind the Discriminability Trap in Source-Free Cross-domain Few-shot Learning CVPR 2026 MR-RAG: Multimodal Relevance-Aware Retrieval-Augmented Generation for Medical Visual Question Answering CVPR 2026 Reclaiming Lost Text Layers for Source-Free Cross-Domain Few-Shot Learning CVPR 2026 Remedying Target-Domain Astigmatism for Cross-Domain Few-Shot Object Detection CVPR 2026 UMPIRE: Unveiling LLM-generated Posts via Redundant Expressions ACL 2026 Unbiased Rectification for Sequential Recommender Systems Under Fake Orders AAAI 2026 Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation ICML 2025 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 FedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence ICML 2025 Migician: Revealing the Magic of Free-Form Multi-Image Grounding in Multimodal Large Language Models ACL 2025 Random Registers for Cross-Domain Few-Shot Learning ICML 2025 Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning AAAI 2025 Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning ICML 2025 Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning ICCV 2025 Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation ICML 2025 The Devil is in Low-Level Features for Cross-Domain Few-Shot Segmentation CVPR 2025 The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning ICML 2025 A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning NeurIPS 2024 Attention Temperature Matters in ViT-Based Cross-Domain Few-Shot Learning NeurIPS 2024 Compositional Few-Shot Class-Incremental Learning ICML 2024 Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling AAAI 2024 Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning IJCAI 2024 FedBAT: Communication-Efficient Federated Learning via Learnable Binarization ICML 2024 FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation ICLR 2024 Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning CVPR 2024 Generate Universal Adversarial Perturbations for Few-Shot Learning NeurIPS 2024 Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization NeurIPS 2024 Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation NeurIPS 2024 Personalized Federated Domain-Incremental Learning based on Adaptive Knowledge Matching ECCV 2024 Towards Efficient Replay in Federated Incremental Learning CVPR 2024 Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction AAAI 2023 CSGCL: Community-Strength-Enhanced Graph Contrastive Learning IJCAI 2023 DaFKD: Domain-Aware Federated Knowledge Distillation CVPR 2023 D-Separation for Causal Self-Explanation NeurIPS 2023 MGR: Multi-generator Based Rationalization ACL 2023 FR: Folded Rationalization with a Unified Encoder NeurIPS 2022 Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation NeurIPS 2022