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Xia Hu

Rice University, Department of Computer Science, Houston, TX, USA

30 papers at tracked venues · 19 at CORE A* · active 2024–2026

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Venues

ICML ×6EMNLP ×5ACL ×3NAACL ×3NeurIPS ×3CVPR ×2EACL ×2ICLR ×2AAAI ×1ICDE ×1WSDM ×1WWW ×1

Frequent coauthors

Yu-Neng Chuang
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Jiamu Zhang
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Shaochen (Henry) Zhong
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Jiayi Yuan
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Zhimeng Jiang
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Guanchu Wang
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Feng Luo
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Zijie Liu
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Songyuan Sui
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Tianyi Zhang
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Lingxi Zhang
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Tiankai Yang
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Papers

  1. AutoL2S: Auto Long-Short Reasoning for Efficient Large Language Models
    ACL 2026 ·
    Feng Luo
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  2. Dialogue is Better Than Monologue: Instructing Meidcal LLMs via Strategic Conversations
    EACL 2026 ·
    Zijie Liu
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  3. ECLAD: An Edge-Cloud Collaborative Agentic Framework for Interpretable Anomaly Detection in Predictive Maintenance
    WWW 2026 ·
    Songyuan Sui
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  4. FaithLM: Towards Faithful Explanations for Large Language Models
    EACL 2026 ·
    Yu-Neng Chuang
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  5. 70% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float (DFloat11)
    NeurIPS 2025 ·
    Tianyi Zhang
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  6. A Decoupled Multi-Agent Framework for Complex Text Style Transfer
    EMNLP 2025 ·
    Lingxi Zhang
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  7. AD-LLM: Benchmarking Large Language Models for Anomaly Detection
    ACL 2025 ·
    Tiankai Yang
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  8. DHP Benchmark: Are LLMs Good NLG Evaluators?
    NAACL 2025 ·
    Yicheng Wang
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  9. Flexible Group Count Enables Hassle-Free Structured Pruning
    CVPR 2025 ·
    Jiamu Zhang
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  10. Learning to Route LLMs with Confidence Tokens
    ICML 2025 ·
    Yu-Neng Chuang
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  11. LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem
    EMNLP 2025 ·
    Hongyi Liu
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  12. MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations
    ICLR 2025 ·
    Shaochen (Henry) Zhong
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  13. ReasonerRank: Redefining Language Model Evaluation with Ground-Truth-Free Ranking Frameworks
    ACL 2025 ·
    Jiamu Zhang
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  14. Self-Ensemble: Mitigating Confidence Distortion for Large Language Models
    EMNLP 2025 ·
    Zicheng Xu
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  15. TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model
    CVPR 2025 ·
    Cheng Yang
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  16. Understanding and Mitigating Numerical Sources of Nondeterminism in LLM Inference
    NeurIPS 2025 ·
    Jiayi Yuan
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  17. Chasing Fairness in Graphs: A GNN Architecture Perspective
    AAAI 2024 ·
    Zhimeng Jiang
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  18. FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
    ICLR 2024 ·
    Xiaotian Han
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  19. GNNs Also Deserve Editing, and They Need It More Than Once
    ICML 2024 ·
    Shaochen (Henry) Zhong
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  20. Gradient Rewiring for Editable Graph Neural Network Training
    NeurIPS 2024 ·
    Zhimeng Jiang
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  21. KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
    ICML 2024 ·
    Zirui Liu
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  22. KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches
    EMNLP 2024 ·
    Jiayi Yuan
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  23. LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning
    ICML 2024 ·
    Hongye Jin
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  24. Learning to Compress Prompt in Natural Language Formats
    NAACL 2024 ·
    Yu-Neng Chuang
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  25. Secure Your Model: An Effective Key Prompt Protection Mechanism for Large Language Models
    NAACL 2024 ·
    Ruixiang Tang
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  26. Soft Prompt Recovers Compressed LLMs, Transferably
    ICML 2024 ·
    Zhaozhuo Xu
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  27. TVE: Learning Meta-attribution for Transferable Vision Explainer
    ICML 2024 ·
    Guanchu Wang
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  28. Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion
    EMNLP 2024 ·
    Guanchu Wang
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  29. Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering
    WSDM 2024 ·
    Huiyuan Chen
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  30. Unraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution
    ICDE 2024 ·
    Yuting Sun
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