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Ruixuan Li

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 9:46 PM AMS

17

papers

301

total citations

papers (17)

Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation

NEURIPS 2022arXiv

Towards Efficient Replay in Federated Incremental Learning

Personalized Federated Domain-Incremental Learning based on Adaptive Knowledge Matching

FR: Folded Rationalization with a Unified Encoder

NEURIPS 2022arXiv

D-Separation for Causal Self-Explanation

NEURIPS 2023arXiv

Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning

Compositional Few-Shot Class-Incremental Learning

FedBAT: Communication-Efficient Federated Learning via Learnable Binarization

Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization

Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets

The Devil is in Low-Level Features for Cross-Domain Few-Shot Segmentation

Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning

Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning

Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling

Quantifying Distributional Invariance in Causal Subgraph for IRM-Free Graph Generalization

NEURIPS 2025arXiv

DaFKD: Domain-Aware Federated Knowledge Distillation

BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach