by Enshu Liu Papers
8 papers found
Conference
Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching
Enshu Liu, Xuefei Ning, Yu Wang et al.
ICLR 2025arXiv:2412.17153
14
citations
Distilled Decoding 2: One-step Sampling of Image Auto-regressive Models with Conditional Score Distillation
Enshu Liu, Qian Chen, Xuefei Ning et al.
NEURIPS 2025arXiv:2510.21003
3
citations
Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
Zinan Lin, Enshu Liu, Xuefei Ning et al.
NEURIPS 2025arXiv:2509.15591
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better
Enshu Liu, Junyi Zhu, Zinan Lin et al.
ICLR 2025arXiv:2404.02241
6
citations
R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing
Tianyu Fu, Yi Ge, Yichen You et al.
NEURIPS 2025arXiv:2505.21600
13
citations
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
Tianchen Zhao, Tongcheng Fang, Haofeng Huang et al.
ICLR 2025arXiv:2406.02540
68
citations
A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models
Enshu Liu, Xuefei Ning, Huazhong Yang et al.
ICLR 2024arXiv:2312.07243
13
citations
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization
Zhao Tianchen, Xuefei Ning, Tongcheng Fang et al.
ECCV 2024arXiv:2405.17873
37
citations