Ning, Xuefei

37 publications

ICLR 2025 Accelerating Auto-Regressive Text-to-Image Generation with Training-Free Speculative Jacobi Decoding Yao Teng, Han Shi, Xian Liu, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu

CVPR 2025 Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning Qianli Ma, Xuefei Ning, Dongrui Liu, Li Niu, Linfeng Zhang

ICLR 2025 Distilled Decoding 1: One-Step Sampling of Image Auto-Regressive Models with Flow Matching Enshu Liu, Xuefei Ning, Yu Wang, Zinan Lin

NeurIPS 2025 Distilled Decoding 2: One-Step Sampling of Image Auto-Regressive Models with Conditional Score Distillation Enshu Liu, Qian Chen, Xuefei Ning, Shengen Yan, Guohao Dai, Zinan Lin, Yu Wang

ICCV 2025 FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Vision Language Models Tianyu Fu, Tengxuan Liu, Qinghao Han, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang

NeurIPS 2025 Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification Zinan Lin, Enshu Liu, Xuefei Ning, Junyi Zhu, Wenyu Wang, Sergey Yekhanin

ICLR 2025 Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Shuaiqi Wang, Matthew B. Blaschko, Sergey Yekhanin, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang

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

ICLRW 2025 MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression Tianyu Fu, Haofeng Huang, Xuefei Ning, Genghan Zhang, Boju Chen, Tianqi Wu, Hongyi Wang, Zixiao Huang, Shiyao Li, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang

CVPR 2025 ProReflow: Progressive Reflow with Decomposed Velocity Lei Ke, Haohang Xu, Xuefei Ning, Yu Li, Jiajun Li, Haoling Li, Yuxuan Lin, Dongsheng Jiang, Yujiu Yang, Linfeng Zhang

AAAI 2025 Training-Free and Hardware-Friendly Acceleration for Diffusion Models via Similarity-Based Token Pruning Evelyn Zhang, Jiayi Tang, Xuefei Ning, Linfeng Zhang

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

ICLR 2024 A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models Enshu Liu, Xuefei Ning, Huazhong Yang, Yu Wang

NeurIPS 2024 Can LLMs Learn by Teaching for Better Reasoning? a Preliminary Study Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang

NeurIPS 2024 DiTFastAttn: Attention Compression for Diffusion Transformer Models Zhihang Yuan, Hanling Zhang, Pu Lu, Xuefei Ning, Linfeng Zhang, Tianchen Zhao, Shengen Yan, Guohao Dai, Yu Wang

ICML 2024 Evaluating Quantized Large Language Models Shiyao Li, Xuefei Ning, Luning Wang, Tengxuan Liu, Xiangsheng Shi, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang

CVPR 2024 FlashEval: Towards Fast and Accurate Evaluation of Text-to-Image Diffusion Generative Models Lin Zhao, Tianchen Zhao, Zinan Lin, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang

NeurIPSW 2024 LiteVAR: Compressing Visual Autoregressive Modelling with Efficient Attention and Quantization Rui Xie, Tianchen Zhao, Zhihang Yuan, Rui Wan, Wenxi Gao, Zhenhua Zhu, Xuefei Ning, Yu Wang

ECCV 2024 MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization Tianchen Zhao, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang

NeurIPS 2024 Rad-NeRF: Ray-Decoupled Training of Neural Radiance Field Lidong Guo, Xuefei Ning, Yonggan Fu, Tianchen Zhao, Zhuoliang Kang, Jincheng Yu, Yingyan Lin, Yu Wang

ICLR 2024 Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation Xuefei Ning, Zinan Lin, Zixuan Zhou, Zifu Wang, Huazhong Yang, Yu Wang

WACV 2024 TCP: Triplet Contrastive-Relationship Preserving for Class-Incremental Learning Shiyao Li, Xuefei Ning, Shanghang Zhang, Lidong Guo, Tianchen Zhao, Huazhong Yang, Yu Wang

WACV 2024 THInImg: Cross-Modal Steganography for Presenting Talking Heads in Images Lin Zhao, Hongxuan Li, Xuefei Ning, Xinru Jiang

ICCV 2023 Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang

AAAI 2023 Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS "Cold-Start" Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang

AAAI 2023 Ensemble-in-One: Ensemble Learning Within Random Gated Networks for Enhanced Adversarial Robustness Yi Cai, Xuefei Ning, Huazhong Yang, Yu Wang

NeurIPS 2023 Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels Zifu Wang, Xuefei Ning, Matthew Blaschko

AAAI 2023 Memory-Oriented Structural Pruning for Efficient Image Restoration Xiangsheng Shi, Xuefei Ning, Lidong Guo, Tianchen Zhao, Enshu Liu, Yi Cai, Yuhan Dong, Huazhong Yang, Yu Wang

ICML 2023 OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang

ECCV 2022 CLOSE: Curriculum Learning on the Sharing Extent Towards Better One-Shot NAS Zixuan Zhou, Xuefei Ning, Yi Cai, Jiashu Han, Yiping Deng, Yuhan Dong, Huazhong Yang, Yu Wang

CVPR 2022 CodedVTR: Codebook-Based Sparse Voxel Transformer with Geometric Guidance Tianchen Zhao, Niansong Zhang, Xuefei Ning, He Wang, Li Yi, Yu Wang

CVPR 2022 FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning Minxue Tang, Xuefei Ning, Yitu Wang, Jingwei Sun, Yu Wang, Hai Li, Yiran Chen

CVPRW 2022 Searching for Energy-Efficient Hybrid Adder-Convolution Neural Networks Wenshuo Li, Xinghao Chen, Jinyu Bai, Xuefei Ning, Yunhe Wang

NeurIPS 2022 TA-GATES: An Encoding Scheme for Neural Network Architectures Xuefei Ning, Zixuan Zhou, Junbo Zhao, Tianchen Zhao, Yiping Deng, Changcheng Tang, Shuang Liang, Huazhong Yang, Yu Wang

NeurIPS 2021 Evaluating Efficient Performance Estimators of Neural Architectures Xuefei Ning, Changcheng Tang, Wenshuo Li, Zixuan Zhou, Shuang Liang, Huazhong Yang, Yu Wang

ECCV 2020 A Generic Graph-Based Neural Architecture Encoding Scheme for Predictor-Based NAS Xuefei Ning, Yin Zheng, Tianchen Zhao, Yu Wang, Huazhong Yang

ECCV 2020 DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation Xuefei Ning, Tianchen Zhao, Wenshuo Li, Peng Lei, Yu Wang, Huazhong Yang