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Ruixuan Li

Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China

53 papers at tracked venues · 47 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-7791-5511 ↗Homepage ↗

Venues

NeurIPS ×13ICML ×11AAAI ×4WWW ×4ACL ×3ACM MM ×3CVPR ×3ECAI ×3ICLR ×2ECCV ×1ECML-PKDD ×1ICCV ×1ICDE ×1IJCAI ×1SIGIR ×1SIGKDD ×1

Frequent coauthors

Yichen Li
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Shiwei Li
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Jintao Tong
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Wei Liu
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Yixiong Zou
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Haozhao Wang
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Xiaoquan Yi
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Yang Qiu
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Shuai Yi
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Zhenyu Zhang
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Heyu Huang
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Hao Wu
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Papers

  1. Data-Centric Sequential Recommendation with Relation-Augmented Generation
    AAAI 2026 ·
    Yichen Li
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  2. EchoMLLM: Incentivizing Echocardiographic Video Understanding with Keyframe Grounding and Report Generation
    ACL 2026 ·
    Heyu Huang
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  3. Language-Guided Game-Theoretic Fairness in Web-Enabled Energy Networks
    WWW 2026 ·
    Hao Wu
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  4. RoTE: Coarse-to-Fine Multi-Level Rotary Time Embedding for Sequential Recommendation
    SIGIR 2026 ·
    Haolin Zhang
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  5. UMPIRE: Unveiling LLM-generated Posts via Redundant Expressions
    ACL 2026 ·
    Xiaoquan Yi
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  6. Unbiased Rectification for Sequential Recommender Systems Under Fake Orders
    AAAI 2026 ·
    Qiyu Qin
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  7. Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation
    ICML 2025 ·
    Jintao Tong
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  8. Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets
    ICML 2025 ·
    Wei Liu
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  9. BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach
    ICML 2025 ·
    Haozhao Wang
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  10. Beyond Higher Rank: Token-wise Input-Output Projections for Efficient Low-Rank Adaptation
    NeurIPS 2025 ·
    Shiwei Li
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  11. Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics
    ICML 2025 ·
    Shiwei Li
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  12. Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization
    ICLR 2025 ·
    Wei Liu
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  13. ChatbotID: Identifying Chatbots with Granger Causality Test
    NeurIPS 2025 ·
    Xiaoquan Yi
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  14. Efficient Knowledge Transfer in Federated Recommendation for Joint Venture Ecosystem
    NeurIPS 2025 ·
    Yichen Li
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  15. Enhancing Privacy in Multimodal Federated Learning with Information Theory
    NeurIPS 2025 ·
    Tianzhe Xiao
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  16. Feature Distillation is the Better Choice for Model-Heterogeneous Federated Learning
    NeurIPS 2025 ·
    Yichen Li
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  17. FedRNL: Federated Rationalization with Soft Parameter Sharing
    ECML-PKDD 2025 ·
    Lingxiao Kong
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  18. FedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence
    ICML 2025 ·
    Yichen Li
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  19. FlowCut: Rethinking Redundancy via Information Flow for Efficient Vision-Language Models
    NeurIPS 2025 ·
    Jintao Tong
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  20. Migician: Revealing the Magic of Free-Form Multi-Image Grounding in Multimodal Large Language Models
    ACL 2025 ·
    You Li
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  21. Personalized Federated Recommendation for Cold-Start Users via Adaptive Knowledge Fusion
    WWW 2025 ·
    Yichen Li
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  22. Privacy-Friendly Cross-Domain Recommendation via Distilling User-irrelevant Information
    WWW 2025 ·
    Cheng Wang
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  23. Quantifying Distributional Invariance in Causal Subgraph for IRM-Free Graph Generalization
    NeurIPS 2025 ·
    Yang Qiu
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  24. Random Registers for Cross-Domain Few-Shot Learning
    ICML 2025 ·
    Shuai Yi
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  25. Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning
    AAAI 2025 ·
    Ran Ma
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  26. Resource-Constrained Federated Continual Learning: What Does Matter?
    NeurIPS 2025 ·
    Yichen Li
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  27. Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning
    ICML 2025 ·
    Shuai Yi
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  28. Revisiting Pool-Based Prompt Learning for Few-Shot Class-Incremental Learning
    ICCV 2025 ·
    Yongwei Jiang
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  29. Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation
    ICML 2025 ·
    Jintao Tong
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  30. The Devil is in Low-Level Features for Cross-Domain Few-Shot Segmentation
    CVPR 2025 ·
    Yuhan Liu
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  31. The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning
    ICML 2025 ·
    Shiwei Li
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  32. A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning
    NeurIPS 2024 ·
    Yixiong Zou
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  33. Adversarial Attack for Explanation Robustness of Rationalization Models
    ECAI 2024 ·
    Yuankai Zhang
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  34. Attention Temperature Matters in ViT-Based Cross-Domain Few-Shot Learning
    NeurIPS 2024 ·
    Yixiong Zou
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  35. Breaking the Weak Semantics Bottleneck of Transformers in Time Series Forecasting
    ECAI 2024 ·
    Ziang Yang
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  36. Compositional Few-Shot Class-Incremental Learning
    ICML 2024 ·
    Yixiong Zou
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  37. Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling
    AAAI 2024 ·
    Jie Han
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  38. Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning
    IJCAI 2024 ·
    Haichen Zhou
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  39. Enhancing the Rationale-Input Alignment for Self-explaining Rationalization
    ICDE 2024 ·
    Wei Liu
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  40. FedBAT: Communication-Efficient Federated Learning via Learnable Binarization
    ICML 2024 ·
    Shiwei Li
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  41. FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation
    ICLR 2024 ·
    Haozhao Wang
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  42. FedNLR: Federated Learning with Neuron-wise Learning Rates
    SIGKDD 2024 ·
    Haozhao Wang
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  43. Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning
    CVPR 2024 ·
    Yixiong Zou
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  44. Generate Universal Adversarial Perturbations for Few-Shot Learning
    NeurIPS 2024 ·
    Yiman Hu
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  45. Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization
    NeurIPS 2024 ·
    Wei Liu
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  46. Learning Unknowns from Unknowns: Diversified Negative Prototypes Generator for Few-shot Open-Set Recognition
    ACM MM 2024 ·
    Zhenyu Zhang
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  47. Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation
    NeurIPS 2024 ·
    Jintao Tong
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  48. MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot Learning
    ACM MM 2024 ·
    Zhenyu Zhang
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  49. Masked Graph Autoencoder with Non-discrete Bandwidths
    WWW 2024 ·
    Ziwen Zhao
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  50. Masked Random Noise for Communication-Efficient Federated Learning
    ACM MM 2024 ·
    Shiwei Li
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  51. PAGE: Parametric Generative Explainer for Graph Neural Network
    ECAI 2024 ·
    Yang Qiu
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  52. Personalized Federated Domain-Incremental Learning Based on Adaptive Knowledge Matching
    ECCV 2024 ·
    Yichen Li
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  53. Towards Efficient Replay in Federated Incremental Learning
    CVPR 2024 ·
    Yichen Li
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