Xuefeng Xiao

According to our database, Xuefeng Xiao authored at least 59 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis.

Yanzuo Lu, Yuxi Ren, Xin Xia, Shanchuan Lin, Xing Wang, Xuefeng Xiao, Andy J. Ma, Xiaohua Xie, Jian-Huang Lai

CoRR, July, 2025

VmambaIR: Visual State Space Model for Image Restoration.

Yuan Shi, Bin Xia, Xiaoyu Jin, Xing Wang, Tianyu Zhao, Xin Xia, Xuefeng Xiao, Wenming Yang

IEEE Trans. Circuits Syst. Video Technol., June, 2025

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models.

Tianchen Zhao, Ke Hong, Xinhao Yang, Xuefeng Xiao, Huixia Li, Feng Ling, Ruiqi Xie, Siqi Chen, Hongyu Zhu, Yichong Zhang, Yu Wang

CoRR, June, 2025

Autoregressive Adversarial Post-Training for Real-Time Interactive Video Generation.

Shanchuan Lin, Ceyuan Yang, Hao He, Jianwen Jiang, Yuxi Ren, Xin Xia, Yang Zhao, Xuefeng Xiao, Lu Jiang

CoRR, June, 2025

Seedance 1.0: Exploring the Boundaries of Video Generation Models.

Yu Gao, Haoyuan Guo, Tuyen Hoang, Weilin Huang, Lu Jiang, Fangyuan Kong, Huixia Li, Jiashi Li, Liang Li, Xiaojie Li, Xunsong Li, Yifu Li, Shanchuan Lin, Zhijie Lin, Jiawei Liu, Shu Liu, Xiaonan Nie, Zhiwu Qing, Yuxi Ren, Limin Sun, Zhi Tian, Rui Wang, Sen Wang, Guoqiang Wei, Guohong Wu, Jie Wu, Ruiqi Xia, Fei Xiao, Xuefeng Xiao, Jiangqiao Yan, Ceyuan Yang, Jianchao Yang, Runkai Yang, Tao Yang, Yihang Yang, Zilyu Ye, Xuejiao Zeng, Yan Zeng, Heng Zhang, Yang Zhao, Xiaozheng Zheng, Peihao Zhu, Jiaxin Zou, Feilong Zuo

CoRR, June, 2025

SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training.

Jianyi Wang, Shanchuan Lin, Zhijie Lin, Yuxi Ren, Meng Wei, Zongsheng Yue, Shangchen Zhou, Hao Chen, Yang Zhao, Ceyuan Yang, Xuefeng Xiao, Chen Change Loy, Lu Jiang

CoRR, June, 2025

SeedEdit 3.0: Fast and High-Quality Generative Image Editing.

Peng Wang, Yichun Shi, Xiaochen Lian, Zhonghua Zhai, Xin Xia, Xuefeng Xiao, Weilin Huang, Jianchao Yang

CoRR, June, 2025

Seedream 3.0 Technical Report.

Yu Gao, Lixue Gong, Qiushan Guo, Xiaoxia Hou, Zhichao Lai, Fanshi Li, Liang Li, Xiaochen Lian, Chao Liao, Liyang Liu, Wei Liu, Yichun Shi, Shiqi Sun, Yu Tian, Zhi Tian, Peng Wang, Rui Wang, Xuanda Wang, Xun Wang, Ye Wang, Guofeng Wu, Jie Wu, Xin Xia, Xuefeng Xiao, Zhonghua Zhai, Xinyu Zhang, Qi Zhang, Yuwei Zhang, Shijia Zhao, Jianchao Yang, Weilin Huang

CoRR, April, 2025

Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model.

Team Seawead, Ceyuan Yang, Zhijie Lin, Yang Zhao, Shanchuan Lin, Zhibei Ma, Haoyuan Guo, Hao Chen, Lu Qi, Sen Wang, Feng Cheng, Feilong Zuo, Xuejiao Zeng, Ziyan Yang, Fangyuan Kong, Zhiwu Qing, Fei Xiao, Meng Wei, Tuyen Hoang, Siyu Zhang, Peihao Zhu, Qi Zhao, Jiangqiao Yan, Liangke Gui, Sheng Bi, Jiashi Li, Yuxi Ren, Rui Wang, Huixia Li, Xuefeng Xiao, Shu Liu, Feng Ling, Heng Zhang, Houmin Wei, Huafeng Kuang, Jerry Duncan, Junda Zhang, Junru Zheng, Li Sun, Manlin Zhang, Renfei Sun, Xiaobin Zhuang, Xiaojie Li, Xin Xia, Xuyan Chi, Yanghua Peng, Yuping Wang, Yuxuan Wang, Zhongkai Zhao, Zhuo Chen, Zuquan Song, Zhenheng Yang, Jiashi Feng, Jianchao Yang, Lu Jiang

CoRR, April, 2025

OrchMLLM: Orchestrate Multimodal Data with Batch Post-Balancing to Accelerate Multimodal Large Language Model Training.

Yijie Zheng, Bangjun Xiao, Lei Shi, Xiaoyang Li, Faming Wu, Tianyu Li, Xuefeng Xiao, Yang Zhang, Yuxuan Wang, Shouda Liu

CoRR, March, 2025

Training-free Diffusion Acceleration with Bottleneck Sampling.

Ye Tian, Xin Xia, Yuxi Ren, Shanchuan Lin, Xing Wang, Xuefeng Xiao, Yunhai Tong, Ling Yang, Bin Cui

CoRR, March, 2025

Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model.

Lixue Gong, Xiaoxia Hou, Fanshi Li, Liang Li, Xiaochen Lian, Fei Liu, Liyang Liu, Wei Liu, Wei Lu, Yichun Shi, Shiqi Sun, Yu Tian, Zhi Tian, Peng Wang, Xun Wang, Ye Wang, Guofeng Wu, Jie Wu, Xin Xia, Xuefeng Xiao, Linjie Yang, Zhonghua Zhai, Xinyu Zhang, Qi Zhang, Yuwei Zhang, Shijia Zhao, Jianchao Yang, Weilin Huang

CoRR, March, 2025

Training-free and Adaptive Sparse Attention for Efficient Long Video Generation.

Yifei Xia, Suhan Ling, Fangcheng Fu, Yujie Wang, Huixia Li, Xuefeng Xiao, Bin Cui

CoRR, February, 2025

Diffusion Adversarial Post-Training for One-Step Video Generation.

Shanchuan Lin, Xin Xia, Yuxi Ren, Ceyuan Yang, Xuefeng Xiao, Lu Jiang

CoRR, January, 2025

IDA-VLM: Towards Movie Understanding via ID-Aware Large Vision-Language Model.

Yatai Ji, Shilong Zhang, Jie Wu, Peize Sun, Weifeng Chen, Xuefeng Xiao, Sidi Yang, Yujiu Yang, Ping Luo

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

RayFlow: Instance-Aware Diffusion Acceleration via Adaptive Flow Trajectories.

Huiyang Shao, Xin Xia, Yuhong Yang, Yuxi Ren, Xing Wang, Xuefeng Xiao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

FlexSP: Accelerating Large Language Model Training via Flexible Sequence Parallelism.

Yujie Wang, Shiju Wang, Shenhan Zhu, Fangcheng Fu, Xinyi Liu, Xuefeng Xiao, Huixia Li, Jiashi Li, Faming Wu, Bin Cui

Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models.

Jiaxiang Cheng, Pan Xie, Xin Xia, Jiashi Li, Jie Wu, Yuxi Ren, Huixia Li, Xuefeng Xiao, Shilei Wen, Lean Fu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

OnlineVPO: Align Video Diffusion Model with Online Video-Centric Preference Optimization.

Jiacheng Zhang, Jie Wu, Weifeng Chen, Yatai Ji, Xuefeng Xiao, Weilin Huang, Kai Han

CoRR, 2024

Prompt-A-Video: Prompt Your Video Diffusion Model via Preference-Aligned LLM.

Yatai Ji, Jiacheng Zhang, Jie Wu, Shilong Zhang, Shoufa Chen, Chongjian Ge, Peize Sun, Weifeng Chen, Wenqi Shao, Xuefeng Xiao, Weilin Huang, Ping Luo

CoRR, 2024

Data-Centric and Heterogeneity-Adaptive Sequence Parallelism for Efficient LLM Training.

Yujie Wang, Shiju Wang, Shenhan Zhu, Fangcheng Fu, Xinyi Liu, Xuefeng Xiao, Huixia Li, Jiashi Li, Faming Wu, Bin Cui

CoRR, 2024

ID-Aligner: Enhancing Identity-Preserving Text-to-Image Generation with Reward Feedback Learning.

Weifeng Chen, Jiacheng Zhang, Jie Wu, Hefeng Wu, Xuefeng Xiao, Liang Lin

CoRR, 2024

UniFL: Improve Stable Diffusion via Unified Feedback Learning.

Jiacheng Zhang, Jie Wu, Yuxi Ren, Xin Xia, Huafeng Kuang, Pan Xie, Jiashi Li, Xuefeng Xiao, Weilin Huang, Min Zheng, Lean Fu, Guanbin Li

CoRR, 2024

ByteEdit: Boost, Comply and Accelerate Generative Image Editing.

Yuxi Ren, Jie Wu, Yanzuo Lu, Huafeng Kuang, Xin Xia, Xionghui Wang, Qianqian Wang, Yixing Zhu, Pan Xie, Shiyin Wang, Xuefeng Xiao, Yitong Wang, Min Zheng, Lean Fu

CoRR, 2024

ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models.

Jiaxiang Cheng, Pan Xie, Xin Xia, Jiashi Li, Jie Wu, Yuxi Ren, Huixia Li, Xuefeng Xiao, Min Zheng, Lean Fu

CoRR, 2024

DiffusionGPT: LLM-Driven Text-to-Image Generation System.

Jie Qin, Jie Wu, Weifeng Chen, Yuxi Ren, Huixia Li, Hefeng Wu, Xuefeng Xiao, Rui Wang, Shilei Wen

CoRR, 2024

UniFL: Improve Latent Diffusion Model via Unified Feedback Learning.

Jiacheng Zhang, Jie Wu, Yuxi Ren, Xin Xia, Huafeng Kuang, Pan Xie, Jiashi Li, Xuefeng Xiao, Weilin Huang, Shilei Wen, Lean Fu, Guanbin Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis.

Yuxi Ren, Xin Xia, Yanzuo Lu, Jiacheng Zhang, Jie Wu, Pan Xie, Xing Wang, Xuefeng Xiao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

TreeReward: Improve Diffusion Model via Tree-Structured Feedback Learning.

Jiacheng Zhang, Jie Wu, Huafeng Kuang, Haiming Zhang, Yuxi Ren, Weifeng Chen, Manlin Zhang, Xuefeng Xiao, Guanbin Li

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Outlier-aware Slicing for Post-Training Quantization in Vision Transformer.

Yuexiao Ma, Huixia Li, Xiawu Zheng, Feng Ling, Xuefeng Xiao, Rui Wang, Shilei Wen, Fei Chao, Rongrong Ji

Proceedings of the Forty-first International Conference on Machine Learning, 2024

AffineQuant: Affine Transformation Quantization for Large Language Models.

Yuexiao Ma, Huixia Li, Xiawu Zheng, Feng Ling, Xuefeng Xiao, Rui Wang, Shilei Wen, Fei Chao, Rongrong Ji

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ByteEdit: Boost, Comply and Accelerate Generative Image Editing.

Yuxi Ren, Jie Wu, Yanzuo Lu, Huafeng Kuang, Xin Xia, Xionghui Wang, Qianqian Wang, Yixing Zhu, Pan Xie, Shiyin Wang, Xuefeng Xiao, Yitong Wang, Min Zheng, Lean Fu

Proceedings of the Computer Vision - ECCV 2024, 2024

ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback.

Ming Li, Taojiannan Yang, Huafeng Kuang, Jie Wu, Zhaoning Wang, Xuefeng Xiao, Chen Chen

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

DiffusionEngine: Diffusion Model is Scalable Data Engine for Object Detection.

Manlin Zhang, Jie Wu, Yuxi Ren, Ming Li, Jie Qin, Xuefeng Xiao, Wei Liu, Rui Wang, Min Zheng, Andy J. Ma

CoRR, 2023

DLIP: Distilling Language-Image Pre-training.

Huafeng Kuang, Jie Wu, Xiawu Zheng, Ming Li, Xuefeng Xiao, Rui Wang, Min Zheng, Rongrong Ji

CoRR, 2023

Control-A-Video: Controllable Text-to-Video Generation with Diffusion Models.

Weifeng Chen, Jie Wu, Pan Xie, Hefeng Wu, Jiashi Li, Xin Xia, Xuefeng Xiao, Liang Lin

CoRR, 2023

UGC: Unified GAN Compression for Efficient Image-to-Image Translation.

Yuxi Ren, Jie Wu, Peng Zhang, Manlin Zhang, Xuefeng Xiao, Qian He, Rui Wang, Min Zheng, Xin Pan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

AlignDet: Aligning Pre-training and Fine-tuning in Object Detection.

Ming Li, Jie Wu, Xionghui Wang, Chen Chen, Jie Qin, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration.

Lijiang Li, Huixia Li, Xiawu Zheng, Jie Wu, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan, Fei Chao, Rongrong Ji

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation.

Jie Qin, Jie Wu, Pengxiang Yan, Ming Li, Yuxi Ren, Xuefeng Xiao, Yitong Wang, Rui Wang, Shilei Wen, Xin Pan, Xingang Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective.

Yuexiao Ma, Huixia Li, Xiawu Zheng, Xuefeng Xiao, Rui Wang, Shilei Wen, Xin Pan, Fei Chao, Rongrong Ji

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Multi-Objective Evolutionary for Object Detection Mobile Architectures Search.

Haichao Zhang, Jiashi Li, Xin Xia, Kuangrong Hao, Xuefeng Xiao

CoRR, 2022

Next-ViT: Next Generation Vision Transformer for Efficient Deployment in Realistic Industrial Scenarios.

Jiashi Li, Xin Xia, Wei Li, Huixia Li, Xing Wang, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan

CoRR, 2022

Parallel Pre-trained Transformers (PPT) for Synthetic Data-based Instance Segmentation.

Ming Li, Jie Wu, Jinhang Cai, Jie Qin, Yuxi Ren, Xuefeng Xiao, Min Zheng, Rui Wang, Xin Pan

CoRR, 2022

TRT-ViT: TensorRT-oriented Vision Transformer.

Xin Xia, Jiashi Li, Jie Wu, Xing Wang, Xuefeng Xiao, Min Zheng, Rui Wang

CoRR, 2022

SepViT: Separable Vision Transformer.

Wei Li, Xing Wang, Xin Xia, Jie Wu, Xuefeng Xiao, Min Zheng, Shiping Wen

CoRR, 2022

Progressive Automatic Design of Search Space for One-Shot Neural Architecture Search.

Xin Xia, Xuefeng Xiao, Xing Wang, Min Zheng

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

ScalableViT: Rethinking the Context-Oriented Generalization of Vision Transformer.

Rui Yang, Hailong Ma, Jie Wu, Yansong Tang, Xuefeng Xiao, Min Zheng, Xiu Li

Proceedings of the Computer Vision, 2022

Multi-granularity Distillation Scheme Towards Lightweight Semi-supervised Semantic Segmentation.

Jie Qin, Jie Wu, Ming Li, Xuefeng Xiao, Min Zheng, Xingang Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation.

Jie Qin, Jie Wu, Xuefeng Xiao, Lujun Li, Xingang Wang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report.

Andrey Ignatov, Grigory Malivenko, Radu Timofte, Sheng Chen, Xin Xia, Zhaoyan Liu, Yuwei Zhang, Feng Zhu, Jiashi Li, Xuefeng Xiao, Yuan Tian, Xinglong Wu, Christos Kyrkou, Yixin Chen, Zexin Zhang, Yunbo Peng, Yue Lin, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Himanshu Kumar, Chao Ge, Pei-Lin Wu, Jin-Hua Du, Andrew Batutin, Juan Pablo Federico, Konrad Lyda, Levon Khojoyan, Abhishek Thanki, Sayak Paul, Shahid Siddiqui

CoRR, 2021

Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme.

Shaojie Li, Jie Wu, Xuefeng Xiao, Fei Chao, Xudong Mao, Rongrong Ji

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Online Multi-Granularity Distillation for GAN Compression.

Yuxi Ren, Jie Wu, Xuefeng Xiao, Jianchao Yang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Box-Level Tube Tracking and Refinement for Vehicles Anomaly Detection.

Jie Wu, Xionghui Wang, Xuefeng Xiao, Yitong Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2019

An Empirical Study of Propagation-based Methods for Video Object Segmentation.

Hengkai Guo, Wenji Wang, Guanjun Guo, Huaxia Li, Jiachen Liu, Qian He, Xuefeng Xiao

CoRR, 2019

2018

Accelerating and Compressing LSTM Based Model for Online Handwritten Chinese Character Recognition.

Yafeng Yang, Kaihuan Liang, XueFeng Xiao, Zecheng Xie, Lianwen Jin, Jun Sun, Weiying Zhou

Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition, 2018

2017

Building fast and compact convolutional neural networks for offline handwritten Chinese character recognition.

XueFeng Xiao, Lianwen Jin, Yafeng Yang, Weixin Yang, Jun Sun, Tianhai Chang

Pattern Recognit., 2017

Design of a Very Compact CNN Classifier for Online Handwritten Chinese Character Recognition Using DropWeight and Global Pooling.

XueFeng Xiao, Yafeng Yang, Tasweer Ahmad, Lianwen Jin, Tianhai Chang

Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

A Comprehensive Analysis of Misclassified Handwritten Chinese Character Samples by Incorporating Human Recognition.

Kaihuan Liang, Lianwen Jin, Zecheng Xie, XueFeng Xiao, Weiguo Huang

Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017