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Xuefei Ning

36 papers · 2020–2026 · 10 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

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+11 more ↓ 🗺️ Taxonomy Completionist (62) 🌍 Conference Polyglot · Gold 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
👑 Triple Crown 🏆 Grand Slam 🧬 Topic Evolution 🔬 Deep Specialist (12) 🤝 Dynamic Duo (30) ⚡ Prolific Year · Prolific 🔥 Unstoppable · Bronze ❓ The Questioner 💎 Century Club · Bronze 📈 Trend Setter 🗃️ Keyword Collector (164)

Papers

CineScene: Implicit 3D as Effective Scene Representation for Cinematic Video Generation CVPR 2026 GENMAC: Compositional Text-to-Video Generation with Multi-Agent Collaboration AAAI 2026 How Quantization Shapes Bias in Large Language Models EACL 2026 Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding ICLR 2025 Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning CVPR 2025 Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching ICLR 2025 Efficient Inference for Large Language Models –Algorithm, Model, and System EMNLP 2025 FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Vision Language Models ICCV 2025 Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better ICLR 2025 MBQ: Modality-Balanced Quantization for Large Vision-Language Models CVPR 2025 ProReflow: Progressive Reflow with Decomposed Velocity CVPR 2025 Training-Free and Hardware-Friendly Acceleration for Diffusion Models via Similarity-based Token Pruning AAAI 2025 ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation ICLR 2025 A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models ICLR 2024 Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study NeurIPS 2024 DiTFastAttn: Attention Compression for Diffusion Transformer Models NeurIPS 2024 Evaluating Quantized Large Language Models ICML 2024 FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models CVPR 2024 MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization ECCV 2024 Rad-NeRF: Ray-decoupled Training of Neural Radiance Field NeurIPS 2024 Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation ICLR 2024 TCP: Triplet Contrastive-Relationship Preserving for Class-Incremental Learning WACV 2024 THInImg: Cross-Modal Steganography for Presenting Talking Heads in Images WACV 2024 Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection ICCV 2023 Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS “Cold-Start” AAAI 2023 Ensemble-in-One: Ensemble Learning within Random Gated Networks for Enhanced Adversarial Robustness AAAI 2023 Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels NeurIPS 2023 Memory-Oriented Structural Pruning for Efficient Image Restoration AAAI 2023 OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models ICML 2023 CLOSE: Curriculum Learning on the Sharing Extent towards Better One-Shot NAS ECCV 2022 CodedVTR: Codebook-Based Sparse Voxel Transformer With Geometric Guidance CVPR 2022 FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning CVPR 2022 TA-GATES: An Encoding Scheme for Neural Network Architectures NeurIPS 2022 Evaluating Efficient Performance Estimators of Neural Architectures NeurIPS 2021 A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS ECCV 2020 DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation ECCV 2020