Yong Xu

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 82

Top Venues

CoRR

IEEE Trans. Multim.

IEEE Trans. Image Process.

Neural Comput. Appl.

Publications

Feng Lin, Wenze Hu, Yaowei Wang, Yonghong Tian, Guangming Lu, Fanglin Chen, Yong Xu, Xiaoyu Wang
Universal Object Detection with Large Vision Model. Int. J. Comput. Vis. 132 (4) (2024)
Shaohui Pan, Yong Xu, Ruotao Xu
PU-SDF: Arbitrary-Scale Uniformly Upsampling Point Clouds via Signed Distance Functions. 3DV (2024)
Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang
UrbanGPT: Spatio-Temporal Large Language Models. CoRR (2024)
Liting Lin, Heng Fan, Zhipeng Zhang, Yaowei Wang, Yong Xu, Haibin Ling
Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance. CoRR (2024)
Zhile Chen, Yuhui Quan, Ruotao Xu, Lianwen Jin, Yong Xu
Enhancing texture representation with deep tracing pattern encoding. Pattern Recognit. 146 (2024)
Yong Xu, Xin Yao, Baoling Liu, Yuhui Quan, Hui Ji
Text-Guided Portrait Image Matting. IEEE Trans. Artif. Intell. 5 (8) (2024)
Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang
UrbanGPT: Spatio-Temporal Large Language Models. KDD (2024)
Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo
Multi-Behavior Graph Neural Networks for Recommender System. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Chi Zhang, Lingyu Liang, Jijun Zhou, Yong Xu
Multi-view depth estimation based on multi-feature aggregation for 3D reconstruction. Comput. Graph. 122 (2024)
Xuyi He, Yuhui Quan, Yong Xu, Ruotao Xu
Image Smoothing via Multiscale Global Perception. IEEE Signal Process. Lett. 31 (2024)
Yong Xu, Shaohui Pan, Ruotao Xu, Haibin Ling
View-aligned pixel-level feature aggregation for 3D shape classification. Comput. Vis. Image Underst. 248 (2024)
Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction. CoRR (2024)
Yuhui Quan, Xiaoheng Tan, Yan Huang, Yong Xu, Hui Ji
Image Desnowing via Deep Invertible Separation. IEEE Trans. Circuits Syst. Video Technol. 33 (7) (2023)
Lianghao Xia, Chao Huang, Yong Xu, Jian Pei
Multi-Behavior Sequential Recommendation With Temporal Graph Transformer. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang
Graph Transformer for Recommendation. CoRR (2023)
Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang
Graph Transformer for Recommendation. SIGIR (2023)
Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo
Multi-Behavior Graph Neural Networks for Recommender System. CoRR (2023)
Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang
GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks. CoRR (2023)
Mingqin Chen, Yuhui Quan, Yong Xu, Hui Ji
Self-Supervised Blind Image Deconvolution via Deep Generative Ensemble Learning. IEEE Trans. Circuits Syst. Video Technol. 33 (2) (2023)
Lianghao Xia, Yizhen Shao, Chao Huang, Yong Xu, Huance Xu, Jian Pei
Disentangled Graph Social Recommendation. ICDE (2023)
Jinxiu Liang, Yixin Yang, Boyu Li, Peiqi Duan, Yong Xu, Boxin Shi
Coherent Event Guided Low-Light Video Enhancement. ICCV (2023)
Liting Lin, Heng Fan, Zhipeng Zhang, Yong Xu, Haibin Ling
SwinTrack: A Simple and Strong Baseline for Transformer Tracking. NeurIPS (2022)
Lingyu Liang, Lianwen Jin, Yong Xu
PDE Learning of Filtering and Propagation for Task-Aware Facial Intrinsic Image Analysis. IEEE Trans. Cybern. 52 (2) (2022)
Tianyi Chen, Yunfei Zhang, Xiaoyang Huo, Si Wu, Yong Xu, Hau-San Wong
SphericGAN: Semi-supervised Hyper-spherical Generative Adversarial Networks for Fine-grained Image Synthesis. CVPR (2022)
Jinxiu Liang, Yong Xu, Yuhui Quan, Boxin Shi, Hui Ji
Self-Supervised Low-Light Image Enhancement Using Discrepant Untrained Network Priors. IEEE Trans. Circuits Syst. Video Technol. 32 (11) (2022)
Xiyue Zhang, Yong Xu, Yizhen Shao
Forecasting traffic flow with spatial-temporal convolutional graph attention networks. Neural Comput. Appl. 34 (18) (2022)
Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy Xiangji Huang
Hypergraph Contrastive Collaborative Filtering. CoRR (2022)
Yong Xu, Baoling Liu, Yuhui Quan, Hui Ji
Unsupervised Deep Background Matting Using Deep Matte Prior. IEEE Trans. Circuits Syst. Video Technol. 32 (7) (2022)
Zhonghang Li, Chao Huang, Lianghao Xia, Yong Xu, Jian Pei
Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction. ICDE (2022)
Jinxiu Liang, Jingwen Wang, Yuhui Quan, Tianyi Chen, Jiaying Liu, Haibin Ling, Yong Xu
Recurrent Exposure Generation for Low-Light Face Detection. IEEE Trans. Multim. 24 (2022)
Lianghao Xia, Chao Huang, Yong Xu, Jian Pei
Multi-Behavior Sequential Recommendation with Temporal Graph Transformer. CoRR (2022)
Sihao Lin, Wenhao Wu, Si Wu, Yong Xu, Hau-San Wong
Unreliable-to-Reliable Instance Translation for Semi-Supervised Pedestrian Detection. IEEE Trans. Multim. 24 (2022)
Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy X. Huang
Hypergraph Contrastive Collaborative Filtering. SIGIR (2022)
Zihan Zhou, Yong Xu, Yuhui Quan, Ruotao Xu
Deep Blind Image Quality Assessment Using Dual-Order Statistics. ICME (2022)
Zhonghang Li, Chao Huang, Lianghao Xia, Yong Xu, Jian Pei
Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction. CoRR (2022)
Tianyi Chen, Si Wu, Xuhui Yang, Yong Xu, Hau-San Wong
Semantic Regularized Class-Conditional GANs for Semi-Supervised Fine-Grained Image Synthesis. IEEE Trans. Multim. 24 (2022)
Zhuojie Chen, Xin Yao, Yong Xu, Junle Wang, Yuhui Quan
Unsupervised knowledge transfer for nonblind image deconvolution. Pattern Recognit. Lett. 164 (2022)
Yuhui Quan, Peikang Lin, Yong Xu, Yuesong Nan, Hui Ji
Nonblind Image Deblurring via Deep Learning in Complex Field. IEEE Trans. Neural Networks Learn. Syst. 33 (10) (2022)
Lianghao Xia, Chao Huang, Yong Xu, Huance Xu, Xiang Li, Weiguo Zhang
Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems. ACM Trans. Inf. Syst. 40 (1) (2022)
Zihan Zhou, Yong Xu, Ruotao Xu, Yuhui Quan
No-Reference Image Quality Assessment Using Dynamic Complex-Valued Neural Model. ACM Multimedia (2022)
Boxi Yu, Yong Xu, Yan Huang, Shuai Yang, Jiaying Liu
Mask-guided GAN for robust text editing in the scene. Neurocomputing 441 (2021)
Yong Xu, Ye Zhu, Yuhui Quan, Hui Ji
Attentive deep network for blind motion deblurring on dynamic scenes. Comput. Vis. Image Underst. 205 (2021)
Cong Wang, Yan Huang, Yuexian Zou, Yong Xu
FWB-Net: Front White Balance Network for Color Shift Correction in Single Image Dehazing via Atmospheric Light Estimation. CoRR (2021)
Guanyue Li, Yi Liu, Xiwen Wei, Yang Zhang, Si Wu, Yong Xu, Hau-San Wong
Discovering Density-Preserving Latent Space Walks in GANs for Semantic Image Transformations. ACM Multimedia (2021)
Yong Xu, Haoyang Zou, Yan Huang, Lianwen Jin, Haibin Ling
Super-resolving blurry face images with identity preservation. Pattern Recognit. Lett. 146 (2021)
Ruotao Xu, Yong Xu, Yuhui Quan
Factorized Tensor Dictionary Learning for Visual Tensor Data Completion. IEEE Trans. Multim. 23 (2021)
Yuhui Quan, Yixin Chen, Yizhen Shao, Huan Teng, Yong Xu, Hui Ji
Image denoising using complex-valued deep CNN. Pattern Recognit. 111 (2021)
Xiaoling Long, Chao Huang, Yong Xu, Huance Xu, Peng Dai, Lianghao Xia, Liefeng Bo
Social Recommendation with Self-Supervised Metagraph Informax Network. CIKM (2021)
Tianyi Chen, Yi Liu, Yunfei Zhang, Si Wu, Yong Xu, Liangbing Feng, Hau-San Wong
Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation. ICCV (2021)
Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo
Graph Meta Network for Multi-Behavior Recommendation. SIGIR (2021)
Yong Xu, Chaoda Zheng, Ruotao Xu, Yuhui Quan, Haibin Ling
Multi-View 3D Shape Recognition via Correspondence-Aware Deep Learning. IEEE Trans. Image Process. 30 (2021)
Yong Xu, Feng Li, Zhile Chen, Jinxiu Liang, Yuhui Quan
Encoding Spatial Distribution of Convolutional Features for Texture Representation. NeurIPS (2021)
Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Mengyin Lu, Liefeng Bo
Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling. ICDE (2021)
Yan Huang, Zihan Zhou, Xiangyu Sai, Yong Xu, Yuexian Zou
Hierarchical hashing-based multi-source image retrieval method for image denoising. Appl. Soft Comput. 113 (Part) (2021)
Ruotao Xu, Yong Xu, Yuhui Quan
Structure-Texture Image Decomposition Using Discriminative Patch Recurrence. IEEE Trans. Image Process. 30 (2021)
Zhile Chen, Feng Li, Yuhui Quan, Yong Xu, Hui Ji
Deep Texture Recognition via Exploiting Cross-Layer Statistical Self-Similarity. CVPR (2021)
Jinxiu Liang, Yong Xu, Yuhui Quan, Jingwen Wang, Haibin Ling, Hui Ji
Deep Bilateral Retinex for Low-Light Image Enhancement. CoRR (2020)
Zihan Zhou, Jing Li, Yong Xu, Yuhui Quan
Full-reference image quality metric for blurry images and compressed images using hybrid dictionary learning. Neural Comput. Appl. 32 (16) (2020)
Xuhui Yang, Yong Xu, Yuhui Quan, Hui Ji
Image Denoising via Sequential Ensemble Learning. IEEE Trans. Image Process. 29 (2020)
Huance Xu, Chao Huang, Yong Xu, Lianghao Xia, Hao Xing, Dawei Yin
Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks. ICDM (2020)
Ruotao Xu, Yong Xu, Yuhui Quan, Hui Ji
Cartoon-Texture Image Decomposition using Orientation Characteristics in Patch Recurrence. SIAM J. Imaging Sci. 13 (3) (2020)
Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo
Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. SIGIR (2020)
Yuhui Quan, Jieting Yang, Yixin Chen, Yong Xu, Hui Ji
Collaborative Deep Learning for Super-Resolving Blurry Text Images. IEEE Trans. Computational Imaging 6 (2020)
Jiayi Peng, Yong Xu, Tianyi Chen, Yan Huang
Single-image raindrop removal using concurrent channel-spatial attention and long-short skip connections. Pattern Recognit. Lett. 131 (2020)
Jinxiu Liang, Jingwen Wang, Yuhui Quan, Tianyi Chen, Jiaying Liu, Haibin Ling, Yong Xu
Recurrent Exposure Generation for Low-Light Face Detection. CoRR (2020)
Wenhan Yang, Ye Yuan, Wenqi Ren, Jiaying Liu, Walter J. Scheirer, Zhangyang Wang, Taiheng Zhang, Qiaoyong Zhong, Di Xie, Shiliang Pu, Yuqiang Zheng, Yanyun Qu, Yuhong Xie, Liang Chen, Zhonghao Li, Chen Hong, Hao Jiang, Siyuan Yang, Yan Liu, Xiaochao Qu, Pengfei Wan, Shuai Zheng, Minhui Zhong, Taiyi Su, Lingzhi He, Yandong Guo, Yao Zhao, Zhenfeng Zhu, Jinxiu Liang, Jingwen Wang, Tianyi Chen, Yuhui Quan, Yong Xu, Bo Liu, Xin Liu, Qi Sun, Tingyu Lin, Xiaochuan Li, Feng Lu, Lin Gu, Shengdi Zhou, Cong Cao, Shifeng Zhang, Cheng Chi, Chubin Zhuang, Zhen Lei, Stan Z. Li, Shizheng Wang, Ruizhe Liu, Dong Yi, Zheming Zuo, Jianning Chi, Huan Wang, Kai Wang, Yixiu Liu, Xingyu Gao, Zhenyu Chen, Chang Guo, Yongzhou Li, Huicai Zhong, Jing Huang, Heng Guo, Jianfei Yang, Wenjuan Liao, Jiangang Yang, Liguo Zhou, Mingyue Feng, Likun Qin
Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study. IEEE Trans. Image Process. 29 (2020)
Yan Huang, Yuhui Quan, Yong Xu, Ruotao Xu, Hui Ji
Removing Reflection From a Single Image With Ghosting Effect. IEEE Trans. Computational Imaging 6 (2020)
Chaoda Zheng, Yong Xu, Ruotao Xu, Hongyu Chi, Yuhui Quan
Multi-view Rank Pooling for 3D Object Recognition*. VCIP (2019)
Yifan Wu, Fan Yang, Yong Xu, Haibin Ling
Privacy-Protective-GAN for Privacy Preserving Face De-Identification. J. Comput. Sci. Technol. 34 (1) (2019)
Tangquan Qi, Yong Xu, Haibin Ling
Tourism scene classification based on multi-stage transfer learning model. Neural Comput. Appl. 31 (8) (2019)
Yan Huang, Yuhui Quan, Tao Liu, Yong Xu
Exploiting label consistency in structured sparse representation for classification. Neural Comput. Appl. 31 (10) (2019)
Yong Xu, Chaoda Zheng, Ruotao Xu, Yuhui Quan
Deeply Exploiting Long-Term View Dependency for 3D Shape Recognition. IEEE Access 7 (2019)
Jinxiu Liang, Yong Xu, Chenglong Bao, Yuhui Quan, Hui Ji
Barzilai-Borwein-based adaptive learning rate for deep learning. Pattern Recognit. Lett. 128 (2019)
Si Wu, Qiujia Ji, Shufeng Wang, Hau-San Wong, Zhiwen Yu, Yong Xu
Semi-Supervised Image Classification With Self-Paced Cross-Task Networks. IEEE Trans. Multim. 20 (4) (2018)
Yong Xu, Qian Zhang, Lin Wang
Metric forests based on Gaussian mixture model for visual image classification. Soft Comput. 22 (2) (2018)
Ruotao Xu, Yuhui Quan, Yong Xu
Image Cartoon-Texture Decomposition Using Isotropic Patch Recurrence. CoRR (2018)
Si Wu, Shufeng Wang, Robert Laganière, Cheng Liu, Hau-San Wong, Yong Xu
Exploiting Target Data to Learn Deep Convolutional Networks for Scene-Adapted Human Detection. IEEE Trans. Image Process. 27 (3) (2018)
Yuhui Quan, Yuping Sun, Yong Xu
Spatiotemporal lacunarity spectrum for dynamic texture classification. Comput. Vis. Image Underst. 165 (2017)
Tangquan Qi, Yong Xu, Yuhui Quan, Yaodong Wang, Haibin Ling
Image-based action recognition using hint-enhanced deep neural networks. Neurocomputing 267 (2017)
Yuhui Quan, Yong Xu, Yuping Sun, Yan Huang, Hui Ji
Sparse Coding for Classification via Discrimination Ensemble. CVPR (2016)
Qian Zhang, Yong Xu
Block-based selection random forest for texture classification using multi-fractal spectrum feature. Neural Comput. Appl. 27 (3) (2016)
Yuhui Quan, Yong Xu, Yuping Sun, Yan Huang
Supervised dictionary learning with multiple classifier integration. Pattern Recognit. 55 (2016)
Yong Xu, Yuping Sun, Yuhui Quan, Yu Luo
Structured Sparse Coding for Classification via Reweighted l 2, 1 Minimization. CCCV (1) (2015)
Yong Xu, Yuping Sun, Yuhui Quan, Bo Zheng
Discriminative structured dictionary learning with hierarchical group sparsity. Comput. Vis. Image Underst. 136 (2015)
Yu Luo, Yong Xu, Hui Ji
Removing Rain from a Single Image via Discriminative Sparse Coding. ICCV (2015)
Yuping Sun, Yong Xu, Yuhui Quan
Characterizing dynamic textures with space-time lacunarity analysis. ICME (2015)
Yong Xu, Yuhui Quan, Zhuming Zhang, Haibin Ling, Hui Ji
Classifying dynamic textures via spatiotemporal fractal analysis. Pattern Recognit. 48 (10) (2015)
Delei Liu, Yong Xu, Yuhui Quan, Zhiwen Yu, Patrick Le Callet
Directional regularity for visual quality estimation. Signal Process. 110 (2015)
Yuhui Quan, Yong Xu, Yuping Sun, Yu Luo
Lacunarity Analysis on Image Patterns for Texture Classification. CVPR (2014)
Yuhui Quan, Yong Xu, Yuping Sun
A distinct and compact texture descriptor. Image Vis. Comput. 32 (4) (2014)
Delei Liu, Yong Xu, Yuhui Quan, Patrick Le Callet
Reduced reference image quality assessment using regularity of phase congruency. Signal Process. Image Commun. 29 (8) (2014)
Hui Ji, Xiong Yang, Haibin Ling, Yong Xu
Wavelet Domain Multifractal Analysis for Static and Dynamic Texture Classification. IEEE Trans. Image Process. 22 (1) (2013)
Yong Xu, Yue Yuan, Huabing Dong, Yuhui Quan
An Effective Method of 1-D Bar Code Image Identification. CSE (2013)
Yong Xu, Yuhui Quan, Zhuming Zhang, Hui Ji, Cornelia Fermüller, Morimichi Nishigaki, Daniel DeMenthon
Contour-based recognition. CVPR (2012)
Yong Xu, Si-Bin Huang, Hui Ji, Cornelia Fermüller
Scale-space texture description on SIFT-like textons. Comput. Vis. Image Underst. 116 (9) (2012)
Yong Xu, Yuhui Quan, Haibin Ling, Hui Ji
Dynamic texture classification using dynamic fractal analysis. ICCV (2011)
Yong Xu, Xiong Yang, Haibin Ling, Hui Ji
A new texture descriptor using multifractal analysis in multi-orientation wavelet pyramid. CVPR (2010)
Yong Xu, Si-Bin Huang, Hui Ji, Cornelia Fermüller
Combining powerful local and global statistics for texture description. CVPR (2009)
Yong Xu, Hui Ji, Cornelia Fermüller
Viewpoint Invariant Texture Description Using Fractal Analysis. Int. J. Comput. Vis. 83 (1) (2009)
Yong Xu, Si-Bin Huang, Hui Ji
Integrating local feature and global statistics for texture analysis. ICIP (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yong Xu