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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Machine Learning
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image generation
(8)
diffusion model
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model compression
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post-training quantization
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ensemble learning
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video generation
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large language model
(3)
neural architecture search
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efficient computing
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memory optimization
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memory efficiency
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text-to-video generation
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knowledge distillation
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vision-language model
(2)
semantic segmentation
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computational efficiency
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model merging
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flow matching
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text-to-image generation
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autoregressive model
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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