PPaperPicks

Xiao Luo

University of Wisconsin-Madison, Department of Statistics, Madison, WI, USA

72 papers at tracked venues · 55 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-7987-3714 ↗Google Scholar ↗Homepage ↗

Venues

ACL ×15NeurIPS ×11EMNLP ×8ICML ×8AAAI ×5NAACL ×4ACM MM ×3SIGIR ×3SIGKDD ×3WWW ×3CIKM ×2ICLR ×2IJCAI ×2CVPR ×1ICDE ×1ICDM ×1

Frequent coauthors

Junyu Luo
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Yusheng Zhao
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Yiyang Gu
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Hao Wu
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Fan Zhang
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Zhiyin Yu
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Yingtao Ren
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Yuhang Pei
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Jiawei Gu
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Ziyue Qiao
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Yijia Xiao
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Shunge Zou
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Papers

  1. A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions
    ACL 2026 ·
    Zhiyin Yu
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  2. CogniTrust: Cognitive Memory-Driven Verifiable Supervision for Robust Hashing
    AAAI 2026 ·
    Yiyang Gu
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  3. Context-attended Adversarial Reinforcement Learning for Robust Multi-step Retrieval Augmented Generation
    ACL 2026 ·
    Yingtao Ren
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  4. DANCE: Diversity-attended Dynamic Caching with Asymmetric Quantization for Test-time Adaptation of Vision-Language Models
    ACL 2026 ·
    Shunge Zou
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  5. DisCo: Diffusion-guided Unbiased Discriminative Learning for Unsupervised Graph Domain Adaptation
    SIGKDD 2026 ·
    Haodong Zhang
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  6. Dual Data-centric Separation with Circular Mixup for Noise-resistant Time Series Learning
    SIGKDD 2026 ·
    Yuhang Pei
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  7. Easy Samples Are All You Need: Self-Evolving LLMs via Data-Efficient Reinforcement Learning
    ACL 2026 ·
    Zhiyin Yu
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  8. EviRAG: Evidence-Guided Retrieval-Augmented Generation for Medical Vision-Language Models
    SIGIR 2026 ·
    Yiyang Gu
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  9. FLAIR: Steering LLM Mathematical Problem Solving based on A Fuzzy-Logic-AssIsted Reasoner
    ACL 2026 ·
    Hao Wu
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  10. GALA: Geometric Data Selection with Strategic Prospecting for Large Language Model Self-training
    ACL 2026 ·
    Zhongwei Xie
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  11. Graph Cross-Domain Continual Fine-Tuning via Orthogonal LoRA Routing with Contrastive Expert Specialization
    WWW 2026 ·
    Qianyi Cai
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  12. InstructDiff: Domain-Adaptive Data Selection via Contrastive Entropy for Efficient LLM Fine-Tuning
    ACL 2026 ·
    Junyou Su
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  13. SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models
    ACL 2026 ·
    Yiyang Gu
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  14. Space-based Parameter Evolving with Lightweight Optimization for Graph Adaptation to Evolving Shifts
    WWW 2026 ·
    Junyu Luo
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  15. When Context Bites: Detecting RAG Poisoning via Document-Level Attention Collapse
    SIGIR 2026 ·
    Yingtao Ren
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  16. A Survey of RAG-Reasoning Systems in Large Language Models
    EMNLP 2025 ·
    Yangning Li
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  17. A Survey on Efficient Large Language Model Training: From Data-centric Perspectives
    ACL 2025 ·
    Junyu Luo
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  18. Adaptive Context-Infused Performance Evaluator for Iterative Feature Space Optimization
    CIKM 2025 ·
    Yanping Wu
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  19. Attention Bootstrapping for Multi-Modal Test-Time Adaptation
    AAAI 2025 ·
    Yusheng Zhao
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  20. CODE: Towards Partial Label Graph Learning via Coupled Dual Separation
    ACM MM 2025 ·
    Yiyang Gu
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  21. DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning
    ICML 2025 ·
    Yifan Wang
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  22. DATE: Dual Prompt Learning with Information Bottleneck for Graph Out-of-Distribution Generalization
    ACM MM 2025 ·
    Jiayi Zeng
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  23. DREAM: Decoupled Discriminative Learning with Bigraph-aware Alignment for Semi-supervised 2D-3D Cross-modal Retrieval
    AAAI 2025 ·
    Fan Zhang
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  24. Don't Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models
    NeurIPS 2025 ·
    Zitong Shi
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  25. Dual Prototype-Enhanced Contrastive Framework for Class-Imbalanced Graph Domain Adaptation
    NeurIPS 2025 ·
    Xin Ma
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  26. Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs
    NeurIPS 2025 ·
    Yusheng Zhao
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  27. Embracing Large Language Models in Traffic Flow Forecasting
    ACL 2025 ·
    Yusheng Zhao
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  28. FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation
    ACL 2025 ·
    Junyu Luo
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  29. Flow Field Reconstruction with Sensor Placement Policy Learning
    NeurIPS 2025 ·
    Ruoyan Li
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  30. Fourier Clouds: Fast Bias Correction for Imbalanced Semi-Supervised Learning
    NeurIPS 2025 ·
    Jiawei Gu
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  31. Future Matters for Present: Towards Effective Physical Simulation over Meshes
    SIGKDD 2025 · Xiao Luo
  32. GCAL: Adapting Graph Models to Evolving Domain Shifts
    ICML 2025 ·
    Ziyue Qiao
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  33. HEAL: Hybrid Enhancement with LLM-based Agents for Text-attributed Hypergraph Self-supervised Representation Learning
    EMNLP 2025 ·
    Ruochang Li
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  34. How Do Large Language Models Perform in Dynamical System Modeling
    NAACL 2025 · Xiao Luo
  35. How Do Large Language Models Perform on PDE Discovery: A Coarse-to-fine Perspective
    EMNLP 2025 · Xiao Luo
  36. How Effective is In-Context Learning with Large Language Models for Rare Cell Identification in Single-Cell Expression Data?
    ICDM 2025 ·
    Huaiyuan Yao
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  37. Identifying Cellular Niches in Spatial Transcriptomics: An Investigation into the Capabilities of Large Language Models
    ACL 2025 ·
    Huanhuan Wei
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  38. LEAF: Large Language Diffusion Model for Time Series Forecasting
    EMNLP 2025 ·
    Yuhang Pei
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  39. Learning Resistant Binary Descriptors Against Noise for Efficient Image Retrieval
    SIGIR 2025 ·
    Qingqing Long
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  40. MARK: Multi-agent Collaboration with Ranking Guidance for Text-attributed Graph Clustering
    ACL 2025 ·
    Yiwei Fu
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  41. Marrying LLMs with Dynamic Forecasting: A Graph Mixture-of-expert Perspective
    NAACL 2025 ·
    Dapeng Jiang
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  42. Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness
    EMNLP 2025 ·
    Yusheng Zhao
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  43. NeuBM: Mitigating Model Bias in Graph Neural Networks Through Neutral Input Calibration
    IJCAI 2025 ·
    Jiawei Gu
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  44. Protein Large Language Models: A Comprehensive Survey
    EMNLP 2025 ·
    Yijia Xiao
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  45. Rethink GraphODE Generalization within Coupled Dynamical System
    ICML 2025 ·
    Guancheng Wan
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  46. SEGA: Shaping Semantic Geometry for Robust Hashing under Noisy Supervision
    NeurIPS 2025 ·
    Yiyang Gu
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  47. SPAZER: Spatial-Semantic Progressive Reasoning Agent for Zero-shot 3D Visual Grounding
    NeurIPS 2025 ·
    Zhao Jin
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  48. Semi-supervised Fine-tuning for Large Language Models
    NAACL 2025 ·
    Junyu Luo
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  49. Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation
    ICML 2025 ·
    Junyu Luo
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  50. TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs
    AAAI 2025 ·
    Yusheng Zhao
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  51. Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes
    ICML 2025 ·
    Yusheng Zhao
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  52. Towards Continuous Reuse of Graph Models via Holistic Memory Diversification
    ICLR 2025 ·
    Ziyue Qiao
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  53. scRAG: Hybrid Retrieval-Augmented Generation for LLM-based Cross-Tissue Single-Cell Annotation
    ACL 2025 ·
    Zhiyin Yu
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  54. DEMO: A Statistical Perspective for Efficient Image-Text Matching
    NAACL 2024 ·
    Fan Zhang
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  55. DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption
    ICLR 2024 ·
    Nan Yin
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  56. EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics
    NeurIPS 2024 ·
    Jingyang Yuan
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  57. FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion
    ACL 2024 ·
    Fred Xu
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  58. Fast Inference of Removal-Based Node Influence
    WWW 2024 ·
    Weikai Li
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  59. Fine-grained Prototypical Voting with Heterogeneous Mixup for Semi-supervised 2D-3D Cross-modal Retrieval
    CVPR 2024 ·
    Fan Zhang
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  60. Geneverse: A Collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research
    EMNLP 2024 ·
    Tianyu Liu
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  61. Hypergraph-enhanced Dual Semi-supervised Graph Classification
    ICML 2024 ·
    Wei Ju
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  62. LION: Implicit Vision Prompt Tuning
    AAAI 2024 ·
    Haixin Wang
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  63. Large Language Models Can Be Contextual Privacy Protection Learners
    EMNLP 2024 ·
    Yijia Xiao
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  64. Multi- View Teacher with Curriculum Data Fusion for Robust Unsupervised Domain Adaptation
    ICDE 2024 ·
    Yuhao Tang
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  65. PGODE: Towards High-quality System Dynamics Modeling
    ICML 2024 · Xiao Luo
  66. PIXEL: Prompt-based Zero-shot Hashing via Visual and Textual Semantic Alignment
    CIKM 2024 ·
    Zeyu Dong
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  67. PURE: Prompt Evolution with Graph ODE for Out-of-distribution Fluid Dynamics Modeling
    NeurIPS 2024 ·
    Hao Wu
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  68. PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction
    ACM MM 2024 ·
    Hao Wu
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  69. Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling
    NeurIPS 2024 ·
    Zijie Huang
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  70. Prometheus: Out-of-distribution Fluid Dynamics Modeling with Disentangled Graph ODE
    ICML 2024 ·
    Hao Wu
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  71. Rank and Align: Towards Effective Source-free Graph Domain Adaptation
    IJCAI 2024 ·
    Junyu Luo
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  72. Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data
    NeurIPS 2024 ·
    Fan Zhang
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