Xuefei Ning

Venues

Frequent coauthors

Papers

1. GENMAC: Compositional Text-to-Video Generation with Multi-Agent Collaboration
   AAAI 2026 ·

   Kaiyi Huang

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2. How Quantization Shapes Bias in Large Language Models
   EACL 2026 ·

   Federico Marcuzzi

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3. Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding
   ICLR 2025 ·

   Yao Teng

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4. AgentSociety Challenge: Designing LLM Agents for User Modeling and Recommendation on Web Platforms
   WWW 2025 ·

   Yuwei Yan

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5. Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning
   CVPR 2025 ·

   Qianli Ma

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6. Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching
   ICLR 2025 ·

   Enshu Liu

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7. Distilled Decoding 2: One-step Sampling of Image Auto-regressive Models with Conditional Score Distillation
   NeurIPS 2025 ·

   Enshu Liu

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8. Efficient Inference for Large Language Models -Algorithm, Model, and System
   EMNLP 2025 · Xuefei Ning
9. FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Vision Language Models
   ICCV 2025 ·

   Tianyu Fu

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10. Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
    NeurIPS 2025 ·

    Zinan Lin

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11. Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better
    ICLR 2025 ·

    Enshu Liu

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12. MBQ: Modality-Balanced Quantization for Large Vision-Language Models
    CVPR 2025 ·

    Shiyao Li

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13. ProReflow: Progressive Reflow with Decomposed Velocity
    CVPR 2025 ·

    Lei Ke

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14. SOLA: Optimizing SLO Attainment for Large Language Model Serving with State-Aware Scheduling
    MLSys 2025 ·

    Ke Hong

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15. Training-Free and Hardware-Friendly Acceleration for Diffusion Models via Similarity-based Token Pruning
    AAAI 2025 ·

    Evelyn Zhang

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16. ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
    ICLR 2025 ·

    Tianchen Zhao

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17. A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models
    ICLR 2024 ·

    Enshu Liu

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18. Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study
    NeurIPS 2024 · Xuefei Ning
19. DiTFastAttn: Attention Compression for Diffusion Transformer Models
    NeurIPS 2024 ·

    Zhihang Yuan

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20. Evaluating Quantized Large Language Models
    ICML 2024 ·

    Shiyao Li

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21. FlashEval: Towards Fast and Accurate Evaluation of Text-to-Image Diffusion Generative Models
    CVPR 2024 ·

    Lin Zhao

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22. MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization
    ECCV 2024 ·

    Tianchen Zhao

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23. Rad-NeRF: Ray-decoupled Training of Neural Radiance Field
    NeurIPS 2024 ·

    Lidong Guo

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24. Rescaling Intermediate Features Makes Trained Consistency Models Perform Better
    ICLR 2024 ·

    Junyi Zhu

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25. Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation
    ICLR 2024 · Xuefei Ning