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Ruixuan Li

37 papers · 2022–2026 · 9 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (11) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (6)
🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (40) πŸ† Grand Slam 🀝 Dynamic Duo (20) πŸ† Keyword Champion (3) πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (10) πŸ’Ž Century Club (34) ⚑ Prolific Year (13) πŸ—ƒοΈ Keyword Collector (92) πŸ”₯ Unstoppable (5) ❓ The Questioner

Conferences

ICML (11) NIPS (8) AAAI (5) CVPR (4) ACL (3) ICLR (2) IJCAI (2) ECCV (1) ICCV (1)

Top co-authors

Yuhua Li (21) Haozhao Wang (19) Yixiong Zou (17) Yichen Li (8) Wei Liu (7) Jun Wang (7) Rui Zhang (5) YuanKai Zhang (4) Zhiying Deng (4) Shiwei Li (4)

Keywords

few-shot learning (7) domain adaptation (6) transfer learning (4) cross-domain few-shot learning (3) vision transformer (3) representation learning (3) few-shot class-incremental learning (3) causal inference (2) natural language processing (2) catastrophic forgetting (2) cross-domain learning (2) text classification (2) federated learning (2) loss landscape (2) class-incremental learning (2) self-supervised learning (1) feature selection (1) stochastic gradient descent (1) chain-of-thought reasoning (1) data augmentation (1)

Papers

Data-Centric Sequential Recommendation with Relation-Augmented Generation AAAI 2026 UMPIRE: Unveiling LLM-generated Posts via Redundant Expressions ACL 2026 Unbiased Rectification for Sequential Recommender Systems Under Fake Orders AAAI 2026 Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning ICCV 2025 Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning AAAI 2025 Migician: Revealing the Magic of Free-Form Multi-Image Grounding in Multimodal Large Language Models ACL 2025 The Devil is in Low-Level Features for Cross-Domain Few-Shot Segmentation CVPR 2025 Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization ICLR 2025 Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics ICML 2025 The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning ICML 2025 FedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence ICML 2025 Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets ICML 2025 Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation ICML 2025 Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation ICML 2025 BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach ICML 2025 Random Registers for Cross-Domain Few-Shot Learning ICML 2025 Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning ICML 2025 Personalized Federated Domain-Incremental Learning based on Adaptive Knowledge Matching ECCV 2024 Generate Universal Adversarial Perturbations for Few-Shot Learning NIPS 2024 Attention Temperature Matters in ViT-Based Cross-Domain Few-Shot Learning NIPS 2024 Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization NIPS 2024 Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling AAAI 2024 A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning NIPS 2024 Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning CVPR 2024 Towards Efficient Replay in Federated Incremental Learning CVPR 2024 FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation ICLR 2024 FedBAT: Communication-Efficient Federated Learning via Learnable Binarization ICML 2024 Compositional Few-Shot Class-Incremental Learning ICML 2024 Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning IJCAI 2024 Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation NIPS 2024 MGR: Multi-generator Based Rationalization ACL 2023 Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction AAAI 2023 DaFKD: Domain-Aware Federated Knowledge Distillation CVPR 2023 CSGCL: Community-Strength-Enhanced Graph Contrastive Learning IJCAI 2023 D-Separation for Causal Self-Explanation NIPS 2023 Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation NIPS 2022 FR: Folded Rationalization with a Unified Encoder NIPS 2022