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Jingrui He

University of Illinois at Urbana-Champaign, IL, USA

54 papers at tracked venues · 45 at CORE A* · active 2024–2026

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Venues

ACL ×8NeurIPS ×8SIGKDD ×7ICLR ×6WWW ×6ICML ×5CIKM ×3AISTATS ×2EMNLP ×2ICCV ×2AAAI ×1EACL ×1ICDE ×1SIGIR ×1WSDM ×1

Frequent coauthors

Lecheng Zheng
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Zihao Li
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Wenxuan Bao
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Yikun Ban
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Xinrui He
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Jiaru Zou
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Zhining Liu
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Katherine Tieu
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Zhichen Zeng
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Xinyu He
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Dongqi Fu
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Tianxin Wei
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Papers

  1. AdaFuse: Adaptive Ensemble Decoding for Large Language Models
    ACL 2026 ·
    Chengming Cui
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  2. Copyright Detective: A Forensic System to Evidence LLMs Flickering Copyright Leakage Risks
    ACL 2026 ·
    Guangwei Zhang
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  3. FeDecider: An LLM-Based Framework for Federated Cross-Domain Recommendation
    WWW 2026 ·
    Xinrui He
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  4. Harnessing Consistency for Robust Test-Time LLM Ensemble
    EACL 2026 ·
    Zhichen Zeng
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  5. Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents
    ACL 2026 ·
    Yuanchen Bei
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  6. PAPERMIND: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs
    ACL 2026 ·
    Yanjun Zhao
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  7. Panda: Test-Time Adaptation with Negative Data Augmentation
    AAAI 2026 ·
    Ruxi Deng
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  8. PowerGrow: Feasible Co-Growth of Structures and Dynamics for Power Grid Synthesis
    SIGKDD 2026 ·
    Xinyu He
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  9. Prune as You Generate: Online Rollout Pruning for Faster and Better RLVR
    ACL 2026 ·
    Haobo Xu
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  10. RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and Benchmarking
    ACL 2026 ·
    Jiaru Zou
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  11. APEX2: Adaptive and Extreme Summarization for Personalized Knowledge Graphs
    SIGKDD 2025 ·
    Zihao Li
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  12. Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
    ICML 2025 ·
    Zhining Liu
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  13. CLIMB: Class-imbalanced Learning Benchmark on Tabular Data
    NeurIPS 2025 ·
    Zhining Liu
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  14. Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?
    ACL 2025 ·
    Zihao Li
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  15. ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method
    CIKM 2025 ·
    Dongqi Fu
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  16. Cluster Aware Graph Anomaly Detection
    WWW 2025 ·
    Lecheng Zheng
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  17. Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization
    SIGKDD 2025 ·
    Tianxin Wei
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  18. Dataset Distillation via the Wasserstein Metric
    ICCV 2025 ·
    Haoyang Liu
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  19. Graph4MM: Weaving Multimodal Learning with Structural Information
    ICML 2025 ·
    Xuying Ning
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  20. Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem
    AISTATS 2025 ·
    Katherine Tieu
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  21. LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation
    ACL 2025 ·
    Xinrui He
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  22. Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning
    ICCV 2025 ·
    Wenxuan Bao
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  23. Learnable Spatial-Temporal Positional Encoding for Link Prediction
    ICML 2025 ·
    Katherine Tieu
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  24. Learning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs
    EMNLP 2025 ·
    Yunzhe Qi
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  25. Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation
    ICLR 2025 ·
    Wenxuan Bao
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  26. Mint: A Simple Test-Time Adaptation of Vision-Language Models against Common Corruptions
    NeurIPS 2025 ·
    Wenxuan Bao
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  27. Not All Voices Are Rewarded Equally: Probing and Repairing Reward Models across Human Diversity
    EMNLP 2025 ·
    Zihao Li
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  28. PyG-SSL: A Graph Self-Supervised Learning Toolkit
    CIKM 2025 ·
    Lecheng Zheng
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  29. ReasonFlux-PRM: Trajectory-Aware PRMs for Long Chain-of-Thought Reasoning in LLMs
    NeurIPS 2025 ·
    Jiaru Zou
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  30. ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration
    SIGKDD 2025 ·
    Mengting Ai
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  31. Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency
    ICLR 2025 ·
    Xinyu He
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  32. Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning
    NeurIPS 2025 ·
    Jiaru Zou
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  33. Automated Contrastive Learning Strategy Search for Time Series
    CIKM 2024 ·
    Baoyu Jing
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  34. BOBA: Byzantine-Robust Federated Learning with Label Skewness
    AISTATS 2024 ·
    Wenxuan Bao
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  35. Class-Imbalanced Graph Learning without Class Rebalancing
    ICML 2024 ·
    Zhining Liu
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  36. Co-clustering for Federated Recommender System
    WWW 2024 ·
    Xinrui He
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  37. Contextual Bandits with Online Neural Regression
    ICLR 2024 ·
    Rohan Deb
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  38. Distributional Network of Networks for Modeling Data Heterogeneity
    SIGKDD 2024 ·
    Jun Wu
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  39. FairIF: Boosting Fairness in Deep Learning via Influence Functions with Validation Set Sensitive Attributes
    WSDM 2024 ·
    Haonan Wang
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  40. Fairgen: Towards Fair Graph Generation
    ICDE 2024 ·
    Lecheng Zheng
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  41. Graph Mixup on Approximate Gromov-Wasserstein Geodesics
    ICML 2024 ·
    Zhichen Zeng
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  42. Heterogeneous Contrastive Learning for Foundation Models and Beyond
    SIGKDD 2024 ·
    Lecheng Zheng
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  43. MULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems
    WWW 2024 ·
    Lecheng Zheng
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  44. Meta Clustering of Neural Bandits
    SIGKDD 2024 ·
    Yikun Ban
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  45. Neural Active Learning Beyond Bandits
    ICLR 2024 ·
    Yikun Ban
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  46. Neural Contextual Bandits for Personalized Recommendation
    WWW 2024 ·
    Yikun Ban
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  47. PageRank Bandits for Link Prediction
    NeurIPS 2024 ·
    Yikun Ban
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  48. Robust Neural Contextual Bandit against Adversarial Corruptions
    NeurIPS 2024 ·
    Yunzhe Qi
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  49. SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set Retrieval
    SIGIR 2024 ·
    Zihao Li
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  50. Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed
    NeurIPS 2024 ·
    Katherine Tieu
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  51. Towards Editing Time Series
    NeurIPS 2024 ·
    Baoyu Jing
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  52. Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond
    ICLR 2024 ·
    Tianxin Wei
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  53. TrustLOG: The Second Workshop on Trustworthy Learning on Graphs
    WWW 2024 · Jingrui He
  54. VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections
    ICLR 2024 ·
    Dongqi Fu
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