Xuefei Ning

25 papers at tracked venues · 21 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0003-2209-8312 ↗Homepage ↗

Venues

ICLR ×7 NeurIPS ×5 CVPR ×4 AAAI ×2 EACL ×1 ECCV ×1 EMNLP ×1 ICCV ×1 ICML ×1 MLSys ×1 WWW ×1

Frequent coauthors

Yu Wang

×19

Guohao Dai

×13

Zinan Lin

×11

Shengen Yan

×10

Huazhong Yang

×9

Enshu Liu

×8

Tianchen Zhao

×5

Linfeng Zhang

×4

Shiyao Li

×4

Xihui Liu

×3

Junyi Zhu

×3

Matthew B. Blaschko

×3

Papers

GENMAC: Compositional Text-to-Video Generation with Multi-Agent Collaboration
AAAI 2026 ·
Kaiyi Huang
,
Yukun Huang
, Xuefei Ning,
Zinan Lin
,
Yu Wang
,
Xihui Liu
How Quantization Shapes Bias in Large Language Models
EACL 2026 ·
Federico Marcuzzi
, Xuefei Ning,
Roy Schwartz
,
Iryna Gurevych
Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding
ICLR 2025 ·
Yao Teng
,
Han Shi
,
Xian Liu
, Xuefei Ning,
Guohao Dai
,
Yu Wang
,
Zhenguo Li
,
Xihui Liu
AgentSociety Challenge: Designing LLM Agents for User Modeling and Recommendation on Web Platforms
WWW 2025 ·
Yuwei Yan
,
Yu Shang
,
Qingbin Zeng
,
Yu Li
,
Keyu Zhao
,
Zhiheng Zheng
, Xuefei Ning,
Tianji Wu
,
Shengen Yan
,
Yu Wang
,
Fengli Xu
,
Yong Li
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning
CVPR 2025 ·
Qianli Ma
, Xuefei Ning,
Dongrui Liu
,
Li Niu
,
Linfeng Zhang
Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching
ICLR 2025 ·
Enshu Liu
, Xuefei Ning,
Yu Wang
,
Zinan Lin
Distilled Decoding 2: One-step Sampling of Image Auto-regressive Models with Conditional Score Distillation
NeurIPS 2025 ·
Enshu Liu
,
Qian Chen
, Xuefei Ning,
Shengen Yan
,
Guohao Dai
,
Zinan Lin
,
Yu Wang
Efficient Inference for Large Language Models -Algorithm, Model, and System
EMNLP 2025 · Xuefei Ning,
Guohao Dai
,
Haoli Bai
,
Lu Hou
,
Yu Wang
,
Qun Liu
FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Vision Language Models
ICCV 2025 ·
Tianyu Fu
,
Tengxuan Liu
,
Qinghao Han
,
Guohao Dai
,
Shengen Yan
,
Huazhong Yang
, Xuefei Ning,
Yu Wang
Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
NeurIPS 2025 ·
Zinan Lin
,
Enshu Liu
, Xuefei Ning,
Junyi Zhu
,
Wenyu Wang
,
Sergey Yekhanin
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better
ICLR 2025 ·
Enshu Liu
,
Junyi Zhu
,
Zinan Lin
, Xuefei Ning,
Shuaiqi Wang
,
Matthew B. Blaschko
,
Sergey Yekhanin
,
Shengen Yan
,
Guohao Dai
,
Huazhong Yang
,
Yu Wang
MBQ: Modality-Balanced Quantization for Large Vision-Language Models
CVPR 2025 ·
Shiyao Li
,
Yingchun Hu
, Xuefei Ning,
Xihui Liu
,
Ke Hong
,
Xiaotao Jia
,
Xiuhong Li
,
Yaqi Yan
,
Pei Ran
,
Guohao Dai
,
Shengen Yan
,
Huazhong Yang
,
Yu Wang
ProReflow: Progressive Reflow with Decomposed Velocity
CVPR 2025 ·
Lei Ke
,
Haohang Xu
, Xuefei Ning,
Yu Li
,
Jiajun Li
,
Haoling Li
,
Yuxuan Lin
,
Dongsheng Jiang
,
Yujiu Yang
,
Linfeng Zhang
SOLA: Optimizing SLO Attainment for Large Language Model Serving with State-Aware Scheduling
MLSys 2025 ·
Ke Hong
,
Xiuhong Li
,
Lufang Chen
,
Qiuli Mao
,
Guohao Dai
, Xuefei Ning,
Shengen Yan
,
Yun Liang
,
Yu Wang
Training-Free and Hardware-Friendly Acceleration for Diffusion Models via Similarity-based Token Pruning
AAAI 2025 ·
Evelyn Zhang
,
Jiayi Tang
, Xuefei Ning,
Linfeng Zhang
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
ICLR 2025 ·
Tianchen Zhao
,
Tongcheng Fang
,
Haofeng Huang
,
Rui Wan
,
Widyadewi Soedarmadji
,
Enshu Liu
,
Shiyao Li
,
Zinan Lin
,
Guohao Dai
,
Shengen Yan
,
Huazhong Yang
, Xuefei Ning,
Yu Wang
A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models
ICLR 2024 ·
Enshu Liu
, Xuefei Ning,
Huazhong Yang
,
Yu Wang
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study
NeurIPS 2024 · Xuefei Ning,
Zifu Wang
,
Shiyao Li
,
Zinan Lin
,
Peiran Yao
,
Tianyu Fu
,
Matthew B. Blaschko
,
Guohao Dai
,
Huazhong Yang
,
Yu Wang
DiTFastAttn: Attention Compression for Diffusion Transformer Models
NeurIPS 2024 ·
Zhihang Yuan
,
Hanling Zhang
,
Lu Pu
, Xuefei Ning,
Linfeng Zhang
,
Tianchen Zhao
,
Shengen Yan
,
Guohao Dai
,
Yu Wang
Evaluating Quantized Large Language Models
ICML 2024 ·
Shiyao Li
, Xuefei Ning,
Luning Wang
,
Tengxuan Liu
,
Xiangsheng Shi
,
Shengen Yan
,
Guohao Dai
,
Huazhong Yang
,
Yu Wang
FlashEval: Towards Fast and Accurate Evaluation of Text-to-Image Diffusion Generative Models
CVPR 2024 ·
Lin Zhao
,
Tianchen Zhao
,
Zinan Lin
, Xuefei Ning,
Guohao Dai
,
Huazhong Yang
,
Yu Wang
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization
ECCV 2024 ·
Tianchen Zhao
, Xuefei Ning,
Tongcheng Fang
,
Enshu Liu
,
Guyue Huang
,
Zinan Lin
,
Shengen Yan
,
Guohao Dai
,
Yu Wang
Rad-NeRF: Ray-decoupled Training of Neural Radiance Field
NeurIPS 2024 ·
Lidong Guo
, Xuefei Ning,
Yonggan Fu
,
Tianchen Zhao
,
Zhuoliang Kang
,
Jincheng Yu
,
Yingyan (Celine) Lin
,
Yu Wang
Rescaling Intermediate Features Makes Trained Consistency Models Perform Better
ICLR 2024 ·
Junyi Zhu
,
Zinan Lin
,
Enshu Liu
, Xuefei Ning,
Matthew B. Blaschko
Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation
ICLR 2024 · Xuefei Ning,
Zinan Lin
,
Zixuan Zhou
,
Zifu Wang
,
Huazhong Yang
,
Yu Wang