Xiaorong Pu

According to our database, Xiaorong Pu authored at least 59 papers between 2005 and 2024.

Collaborative distances:

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

2024

Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering.

Zichen Wen, Yawen Ling, Yazhou Ren, Tianyi Wu, Jianpeng Chen, Xiaorong Pu, Zhifeng Hao, Lifang He

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering.

Jingyu Pu, Chenhang Cui, Xinyue Chen, Yazhou Ren, Xiaorong Pu, Zhifeng Hao, Philip S. Yu, Lifang He

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction.

Jiaxin Huang, Qi Wu, Yazhou Ren, Fan Yang, Aodi Yang, Qianqian Yang, Xiaorong Pu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

CDDnet: Cross-domain denoising network for low-dose CT image via local and global information alignment.

Jiaxin Huang, Kecheng Chen, Yazhou Ren, Jiayu Sun, Yanmei Wang, Tao Tao, Xiaorong Pu

Comput. Biol. Medicine, September, 2023

Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering.

Jie Xu, Yazhou Ren, Huayi Tang, Zhimeng Yang, Lili Pan, Yang Yang, Xiaorong Pu, Philip S. Yu, Lifang He

IEEE Trans. Knowl. Data Eng., July, 2023

DC-FUDA: Improving deep clustering via fully unsupervised domain adaptation.

Zhimeng Yang, Yazhou Ren, Zirui Wu, Ming Zeng, Jie Xu, Yang Yang, Xiaorong Pu, Philip S. Yu, Lifang He

Neurocomputing, March, 2023

Self-Paced Neutral Expression-Disentangled Learning for Facial Expression Recognition.

Zhenqian Wu, Xiaoyuan Li, Yazhou Ren, Xiaorong Pu, Xiaofeng Zhu, Lifang He

CoRR, 2023

A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective.

Chenhang Cui, Yazhou Ren, Jingyu Pu, Jiawei Li, Xiaorong Pu, Tianyi Wu, Yutao Shi, Lifang He

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Generative Neutral Features-Disentangled Learning for Facial Expression Recognition.

Zhenqian Wu, Yazhou Ren, Xiaorong Pu, Zhifeng Hao, Lifang He

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Federated Deep Multi-View Clustering with Global Self-Supervision.

Xinyue Chen, Jie Xu, Yazhou Ren, Xiaorong Pu, Ce Zhu, Xiaofeng Zhu, Zhifeng Hao, Lifang He

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Deep Multi-view Subspace Clustering with Anchor Graph.

Chenhang Cui, Yazhou Ren, Jingyu Pu, Xiaorong Pu, Lifang He

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Dual Label-Guided Graph Refinement for Multi-View Graph Clustering.

Yawen Ling, Jianpeng Chen, Yazhou Ren, Xiaorong Pu, Jie Xu, Xiaofeng Zhu, Lifang He

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering.

Zongmo Huang, Yazhou Ren, Xiaorong Pu, Shudong Huang, Zenglin Xu, Lifang He

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

TEMDnet: A Novel Deep Denoising Network for Transient Electromagnetic Signal With Signal-to-Image Transformation.

Kecheng Chen, Xiaorong Pu, Yazhou Ren, Hang Qiu, Fanqiang Lin, Saimin Zhang

IEEE Trans. Geosci. Remote. Sens., 2022

Variational Graph Generator for Multi-View Graph Clustering.

Jianpeng Chen, Yawen Ling, Jie Xu, Yazhou Ren, Shudong Huang, Xiaorong Pu, Lifang He

CoRR, 2022

Deep Clustering: A Comprehensive Survey.

Yazhou Ren, Jingyu Pu, Zhimeng Yang, Jie Xu, Guofeng Li, Xiaorong Pu, Philip S. Yu, Lifang He

CoRR, 2022

Deep Embedded Multi-View Clustering via Jointly Learning Latent Representations and Graphs.

Zongmo Huang, Yazhou Ren, Xiaorong Pu, Lifang He

CoRR, 2022

EEGDnet: Fusing non-local and local self-similarity for EEG signal denoising with transformer.

Xiaorong Pu, Peng Yi, Kecheng Chen, Zhaoqi Ma, Di Zhao, Yazhou Ren

Comput. Biol. Medicine, 2022

BS-80K: The first large open-access dataset of bone scan images.

Zongmo Huang, Xiaorong Pu, Gongshun Tang, Ming Ping, Guo Jiang, Mengjie Wang, Xiaoyu Wei, Yazhou Ren

Comput. Biol. Medicine, 2022

Self-Paced Label Distribution Learning for In-The-Wild Facial Expression Recognition.

Jianjian Shao, Zhenqian Wu, Yuanyan Luo, Shudong Huang, Xiaorong Pu, Yazhou Ren

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

ClusterUDA: Latent Space Clustering in Unsupervised Domain Adaption for Pulmonary Nodule Detection.

Mengjie Wang, Yuxin Zhu, Xiaoyu Wei, Kecheng Chen, Xiaorong Pu, Chao Li, Yazhou Ren

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Shared-Attribute Multi-Graph Clustering with Global Self-Attention.

Jianpeng Chen, Zhimeng Yang, Jingyu Pu, Yazhou Ren, Xiaorong Pu, Li Gao, Lifang He

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Cross Domain Low-Dose CT Image Denoising With Semantic Information Alignment.

Jiaxin Huang, Kecheng Chen, Jiayu Sun, Xiaorong Pu, Yazhou Ren

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Dual self-paced multi-view clustering.

Zongmo Huang, Yazhou Ren, Xiaorong Pu, Lili Pan, Dezhong Yao, Guoxian Yu

Neural Networks, 2021

Probability-based Mask R-CNN for pulmonary embolism detection.

Kun Long, Lei Tang, Xiaorong Pu, Yazhou Ren, Mingxiu Zheng, Li Gao, Chunjiang Song, Su Han, Min Zhou, Fengbin Deng

Neurocomputing, 2021

Machine learning based early mortality prediction in the emergency department.

Cong Li, Zhuo Zhang, Yazhou Ren, Hu Nie, Yuqing Lei, Hang Qiu, Zenglin Xu, Xiaorong Pu

Int. J. Medical Informatics, 2021

EEGDnet: Fusing Non-Local and Local Self-Similarity for 1-D EEG Signal Denoising with 2-D Transformer.

Peng Yi, Kecheng Chen, Zhaoqi Ma, Di Zhao, Xiaorong Pu, Yazhou Ren

CoRR, 2021

RIDnet: Radiologist-Inspired Deep Neural Network for Low-dose CT Denoising.

Kecheng Chen, Jiayu Sun, Jiang Shen, Jixiang Luo, Xinyu Zhang, Xuelin Pan, Dongsheng Wu, Yue Zhao, Miguel Bento, Yazhou Ren, Xiaorong Pu

CoRR, 2021

Self-supervised Discriminative Feature Learning for Multi-view Clustering.

Jie Xu, Yazhou Ren, Huayi Tang, Zhimeng Yang, Lili Pan, Yang Yang, Xiaorong Pu

CoRR, 2021

Non-Linear Fusion for Self-Paced Multi-View Clustering.

Zongmo Huang, Yazhou Ren, Xiaorong Pu, Lifang He

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Lesion-Inspired Denoising Network: Connecting Medical Image Denoising and Lesion Detection.

Kecheng Chen, Kun Long, Yazhou Ren, Jiayu Sun, Xiaorong Pu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering.

Jie Xu, Yazhou Ren, Huayi Tang, Xiaorong Pu, Xiaofeng Zhu, Ming Zeng, Lifang He

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

2020

Multi-graph fusion for multi-view spectral clustering.

Zhao Kang, Guoxin Shi, Shudong Huang, Wenyu Chen, Xiaorong Pu, Joey Tianyi Zhou, Zenglin Xu

Knowl. Based Syst., 2020

Task-Driven Deep Learning for LDCT Image Denoising.

Kecheng Chen, Jiaxin Huang, Jiayu Sun, Yazhou Ren, Xiaorong Pu

Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020

Low-Dose CT Image Blind Denoising with Graph Convolutional Networks.

Kecheng Chen, Xiaorong Pu, Yazhou Ren, Hang Qiu, Haoliang Li, Jiayu Sun

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

Self-Paced Multi-View Clustering via a Novel Soft Weighted Regularizer.

Zongmo Huang, Yazhou Ren, Wenli Liu, Xiaorong Pu

IEEE Access, 2019

Automatic Identification of Alzheimer's Disease and Epilepsy Based on MRI.

Xijue Zhang, Wanling Li, Wangshu Shen, Lin Zhang, Xiaorong Pu, Lei Chen

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

A Semantic-Based Short-Text Fast Clustering Method on Hotline Records in Chengdu.

Xiaorong Pu, Kun Long, Kecheng Chen, Mei Xie, Jiancheng Lv, Dezhong Peng

Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

2018

Training-Based Gradient LBP Feature Models for Multiresolution Texture Classification.

Luping Ji, Yan Ren, Guisong Liu, Xiaorong Pu

IEEE Trans. Cybern., 2018

Median local ternary patterns optimized with rotation-invariant uniform-three mapping for noisy texture classification.

Luping Ji, Yan Ren, Xiaorong Pu, Guisong Liu

Pattern Recognit., 2018

2017

Deep Semantics-Preserving Hashing Based Skin Lesion Image Retrieval.

Xiaorong Pu, Yan Li, Hang Qiu, Yinhui Sun

Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

2015

Facial expression recognition from image sequences using twofold random forest classifier.

Xiaorong Pu, Ke Fan, Xiong Chen, Luping Ji, Zhihu Zhou

Neurocomputing, 2015

One-dimensional pairwise CNN for the global alignment of two DNA sequences.

Luping Ji, Xiaorong Pu, Hong Qu, Guisong Liu

Neurocomputing, 2015

2011

Chaotic Modeling of Time-Delay Memristive System.

Ju Jin, Yongbin Yu, Yijing Liu, Xiaorong Pu, Xiaofeng Liao

Proceedings of the Advanced Intelligent Computing - 7th International Conference, 2011

2009

Manifold-Based Learning and Synthesis.

Dong Huang, Zhang Yi, Xiaorong Pu

IEEE Trans. Syst. Man Cybern. Part B, 2009

A New Incremental PCA Algorithm With Application to Visual Learning and Recognition.

Dong Huang, Zhang Yi, Xiaorong Pu

Neural Process. Lett., 2009

Modified PCNN Filtering for Fingerprint Enhancement.

Luping Ji, Xiaorong Pu, Guisong Liu

Proceedings of the Fifth International Conference on Natural Computation, 2009

2008

Holistic and partial facial features fusion by binary particle swarm optimization.

Xiaorong Pu, Zhang Yi, Zhongjie Fang

Neural Comput. Appl., 2008

A new local PCA-SOM algorithm.

Dong Huang, Zhang Yi, Xiaorong Pu

Neurocomputing, 2008

Efficient Speech Emotion Recognition Based on Multisurface Proximal Support Vector Machine.

Chengfu Yang, Xiaorong Pu, Xiaobin Wang

Proceedings of the 2008 IEEE Conference on Robotics, Automation and Mechatronics, 2008

Efficient Speaker Recognition based on Multi-class Twin Support Vector Machines and GMMs.

Hanhan Cong, Chengfu Yang, Xiaorong Pu

Proceedings of the 2008 IEEE Conference on Robotics, Automation and Mechatronics, 2008

A kernel view of manifold analysis for face images.

Dong Huang, Zhang Yi, Xiaorong Pu

Proceedings of the 3rd International Conference on Intelligent System and Knowledge Engineering, 2008

2007

Binary Fingerprint Image Thinning Using Template-Based PCNNs.

Luping Ji, Zhang Yi, Lifeng Shang, Xiaorong Pu

IEEE Trans. Syst. Man Cybern. Part B, 2007

Clustering Using an Improved Hybrid Genetic Algorithm.

Yongguo Liu, Xiaorong Pu, Yi-Dong Shen, Zhang Yi, Xiaofeng Liao

Int. J. Artif. Intell. Tools, 2007

Multilayer Perceptron Networks Training Using Particle Swarm Optimization with Minimum Velocity Constraints.

Xiaorong Pu, Zhongjie Fang, Yongguo Liu

Proceedings of the Advances in Neural Networks, 2007

2006

Parts-Based Holistic Face Recognition with RBF Neural Networks.

Wei Zhou, Xiaorong Pu, Ziming Zheng

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Recognizing Partially Damaged Facial Images by Subspace Auto-associative Memories.

Xiaorong Pu, Zhang Yi, Yue Wu

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Fingerprint Classification by SPCNN and Combined LVQ Networks.

Luping Ji, Zhang Yi, Xiaorong Pu

Proceedings of the Advances in Natural Computation, Second International Conference, 2006

2005

Face Recognition Using Fisher Non-negative Matrix Factorization with Sparseness Constraints.

Xiaorong Pu, Zhang Yi, Ziming Zheng, Wei Zhou, Mao Ye

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005