Xi Peng

According to our database, Xi Peng authored at least 115 papers between 2012 and 2024.

Collaborative distances:

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

2024

Semantic Invariant Multi-View Clustering With Fully Incomplete Information.

Pengxin Zeng, Mouxing Yang, Yiding Lu, Changqing Zhang, Peng Hu, Xi Peng

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Augmented Sparse Representation for Incomplete Multiview Clustering.

Jie Chen, Shengxiang Yang, Xi Peng, Dezhong Peng, Zhu Wang

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Cross-Modal Retrieval With Noisy Correspondence via Consistency Refining and Mining.

Xinran Ma, Mouxing Yang, Yunfan Li, Peng Hu, Jiancheng Lv, Xi Peng

IEEE Trans. Image Process., 2024

PointCloud-Text Matching: Benchmark Datasets and a Baseline.

Yanglin Feng, Yang Qin, Dezhong Peng, Hongyuan Zhu, Xi Peng, Peng Hu

CoRR, 2024

An Empirical Study of Parameter Efficient Fine-tuning on Vision-Language Pre-train Model.

Yuxin Tian, Mouxing Yang, Yunfan Li, Dayiheng Liu, Xingzhang Ren, Xi Peng, Jiancheng Lv

CoRR, 2024

Decoupled Contrastive Multi-View Clustering with High-Order Random Walks.

Yiding Lu, Yijie Lin, Mouxing Yang, Dezhong Peng, Peng Hu, Xi Peng

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

PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation.

Siyuan Hu, Zheng Wang, Peng Hu, Xi Peng, Jie Wu, Hongyuan Zhu, Yew Soon Ong

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

2023

Low-Rank Tensor Learning for Incomplete Multiview Clustering.

Jie Chen, Zhu Wang, Hua Mao, Xi Peng

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

Cross-Modal Retrieval With Partially Mismatched Pairs.

Peng Hu, Zhenyu Huang, Dezhong Peng, Xu Wang, Xi Peng

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Dual Contrastive Prediction for Incomplete Multi-View Representation Learning.

Yijie Lin, Yuanbiao Gou, Xiaotian Liu, Jinfeng Bai, Jiancheng Lv, Xi Peng

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Unsupervised Contrastive Cross-Modal Hashing.

Peng Hu, Hongyuan Zhu, Jie Lin, Dezhong Peng, Yin-Ping Zhao, Xi Peng

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Multiview Clustering by Consensus Spectral Rotation Fusion.

Jie Chen, Hua Mao, Dezhong Peng, Changqing Zhang, Xi Peng

IEEE Trans. Image Process., 2023

Robust Multi-View Clustering With Incomplete Information.

Mouxing Yang, Yunfan Li, Peng Hu, Jinfeng Bai, Jiancheng Lv, Xi Peng

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Exploiting Diffusion Priors for All-in-One Image Restoration.

Yuanbiao Gou, Haiyu Zhao, Boyun Li, Xinyan Xiao, Xi Peng

CoRR, 2023

Cross-View Graph Consistency Learning for Invariant Graph Representations.

Jie Chen, Zhiming Li, Hua Mao, Wai Lok Woo, Xi Peng

CoRR, 2023

Cross-modal Active Complementary Learning with Self-refining Correspondence.

Yang Qin, Yuan Sun, Dezhong Peng, Joey Tianyi Zhou, Xi Peng, Peng Hu

CoRR, 2023

Image Clustering with External Guidance.

Yunfan Li, Peng Hu, Dezhong Peng, Jiancheng Lv, Jianping Fan, Xi Peng

CoRR, 2023

Noisy-Correspondence Learning for Text-to-Image Person Re-identification.

Yang Qin, Yingke Chen, Dezhong Peng, Xi Peng, Joey Tianyi Zhou, Peng Hu

CoRR, 2023

Cross-modal Active Complementary Learning with Self-refining Correspondence.

Yang Qin, Yuan Sun, Dezhong Peng, Joey Tianyi Zhou, Xi Peng, Peng Hu

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

ROAD: Robust Unsupervised Domain Adaptation with Noisy Labels.

Yanglin Feng, Hongyuan Zhu, Dezhong Peng, Xi Peng, Peng Hu

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

Incomplete Multi-view Clustering via Prototype-based Imputation.

Haobin Li, Yunfan Li, Mouxing Yang, Peng Hu, Dezhong Peng, Xi Peng

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

Provable Dynamic Fusion for Low-Quality Multimodal Data.

Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng

Proceedings of the International Conference on Machine Learning, 2023

dugMatting: Decomposed-Uncertainty-Guided Matting.

Jiawei Wu, Changqing Zhang, Zuoyong Li, Huazhu Fu, Xi Peng, Joey Tianyi Zhou

Proceedings of the International Conference on Machine Learning, 2023

Deep Multiview Clustering by Contrasting Cluster Assignments.

Jie Chen, Hua Mao, Wai Lok Woo, Xi Peng

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

Graph Matching with Bi-level Noisy Correspondence.

Yijie Lin, Mouxing Yang, Jun Yu, Peng Hu, Changqing Zhang, Xi Peng

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

Comprehensive and Delicate: An Efficient Transformer for Image Restoration.

Haiyu Zhao, Yuanbiao Gou, Boyun Li, Dezhong Peng, Jiancheng Lv, Xi Peng

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

Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric.

Pengxin Zeng, Yunfan Li, Peng Hu, Dezhong Peng, Jiancheng Lv, Xi Peng

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

Rethinking Image Super Resolution from Long-Tailed Distribution Learning Perspective.

Yuanbiao Gou, Peng Hu, Jiancheng Lv, Hongyuan Zhu, Xi Peng

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

RONO: Robust Discriminative Learning with Noisy Labels for 2D-3D Cross-Modal Retrieval.

Yanglin Feng, Hongyuan Zhu, Dezhong Peng, Xi Peng, Peng Hu

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

Robust Domain Adaptation for Machine Reading Comprehension.

Liang Jiang, Zhenyu Huang, Jia Liu, Zujie Wen, Xi Peng

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

2022

Deep Multimodal Transfer Learning for Cross-Modal Retrieval.

Liangli Zhen, Peng Hu, Xi Peng, Rick Siow Mong Goh, Joey Tianyi Zhou

IEEE Trans. Neural Networks Learn. Syst., 2022

Unsupervised Neural Rendering for Image Hazing.

Boyun Li, Yijie Lin, Jinfeng Bai, Peng Hu, Jiancheng Lv, Xi Peng

IEEE Trans. Image Process., 2022

Memory-Assistant Collaborative Language Understanding for Artificial Intelligence of Things.

Ming Yan, Cen Chen, Jiawei Du, Xi Peng, Joey Tianyi Zhou, Zeng Zeng

IEEE Trans. Ind. Informatics, 2022

Deep Semisupervised Multiview Learning With Increasing Views.

Peng Hu, Xi Peng, Hongyuan Zhu, Liangli Zhen, Jie Lin, Huaibai Yan, Dezhong Peng

IEEE Trans. Cybern., 2022

Locality-Aware Crowd Counting.

Joey Tianyi Zhou, Le Zhang, Jiawei Du, Xi Peng, Zhiwen Fang, Zhe Xiao, Hongyuan Zhu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

XAI Beyond Classification: Interpretable Neural Clustering.

Xi Peng, Yunfan Li, Ivor W. Tsang, Hongyuan Zhu, Jiancheng Lv, Joey Tianyi Zhou

J. Mach. Learn. Res., 2022

Twin Contrastive Learning for Online Clustering.

Yunfan Li, Mouxing Yang, Dezhong Peng, Taihao Li, Jiantao Huang, Xi Peng

Int. J. Comput. Vis., 2022

Relationship Quantification of Image Degradations.

Wenxin Wang, Boyun Li, Yuanbiao Gou, Peng Hu, Xi Peng

CoRR, 2022

Deep Fair Clustering via Maximizing and Minimizing Mutual Information.

Pengxin Zeng, Yunfan Li, Peng Hu, Dezhong Peng, Jiancheng Lv, Xi Peng

CoRR, 2022

Multi-Scale Adaptive Network for Single Image Denoising.

Yuanbiao Gou, Peng Hu, Jiancheng Lv, Xi Peng

CoRR, 2022

Multi-Scale Adaptive Network for Single Image Denoising.

Yuanbiao Gou, Peng Hu, Jiancheng Lv, Joey Tianyi Zhou, Xi Peng

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Deep Evidential Learning with Noisy Correspondence for Cross-modal Retrieval.

Yang Qin, Dezhong Peng, Xi Peng, Xu Wang, Peng Hu

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

Improve Interpretability of Neural Networks via Sparse Contrastive Coding.

Junhong Liu, Yijie Lin, Liang Jiang, Jia Liu, Zujie Wen, Xi Peng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Learning with Twin Noisy Labels for Visible-Infrared Person Re-Identification.

Mouxing Yang, Zhenyu Huang, Peng Hu, Taihao Li, Jiancheng Lv, Xi Peng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

All-In-One Image Restoration for Unknown Corruption.

Boyun Li, Xiao Liu, Peng Hu, Zhongqin Wu, Jiancheng Lv, Xi Peng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Deep Spectral Representation Learning From Multi-View Data.

Zhenyu Huang, Joey Tianyi Zhou, Hongyuan Zhu, Changqing Zhang, Jiancheng Lv, Xi Peng

IEEE Trans. Image Process., 2021

Single-Image Dehazing via Compositional Adversarial Network.

Hongyuan Zhu, Yi Cheng, Xi Peng, Joey Tianyi Zhou, Zhao Kang, Shijian Lu, Zhiwen Fang, Liyuan Li, Joo-Hwee Lim

IEEE Trans. Cybern., 2021

Joint Versus Independent Multiview Hashing for Cross-View Retrieval.

Peng Hu, Xi Peng, Hongyuan Zhu, Jie Lin, Liangli Zhen, Dezhong Peng

IEEE Trans. Cybern., 2021

Hierarchical Regulated Iterative Network for Joint Task of Music Detection and Music Relative Loudness Estimation.

Bijue Jia, Jiancheng Lv, Xi Peng, Yao Chen, Shenglan Yang

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Structured graph learning for clustering and semi-supervised classification.

Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian

Pattern Recognit., 2021

Cross-modal discriminant adversarial network.

Peng Hu, Xi Peng, Hongyuan Zhu, Jie Lin, Liangli Zhen, Wei Wang, Dezhong Peng

Pattern Recognit., 2021

Dual Adversarial Transfer for Sequence Labeling.

Joey Tianyi Zhou, Hao Zhang, Di Jin, Xi Peng

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Video Anomaly Detection with Sparse Coding Inspired Deep Neural Networks.

Weixin Luo, Wen Liu, Dongze Lian, Jinhui Tang, Lixin Duan, Xi Peng, Shenghua Gao

IEEE Trans. Pattern Anal. Mach. Intell., 2021

You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network.

Boyun Li, Yuanbiao Gou, Shuhang Gu, Zitao Liu, Joey Tianyi Zhou, Xi Peng

Int. J. Comput. Vis., 2021

Unsupervised Neural Rendering for Image Hazing.

Boyun Li, Yijie Lin, Xiao Liu, Peng Hu, Jiancheng Lv, Xi Peng

CoRR, 2021

Learning with Noisy Correspondence for Cross-modal Matching.

Zhenyu Huang, Guocheng Niu, Xiao Liu, Wenbiao Ding, Xinyan Xiao, Hua Wu, Xi Peng

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

Cross-View Equivariant Auto-Encoder.

Zhibin Wan, Changqing Zhang, Yu Geng, Huazhu Fu, Xi Peng, Pengfei Zhu, Qinghua Hu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Partially View-Aligned Representation Learning With Noise-Robust Contrastive Loss.

Mouxing Yang, Yunfan Li, Zhenyu Huang, Zitao Liu, Peng Hu, Xi Peng

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

Learning Cross-Modal Retrieval With Noisy Labels.

Peng Hu, Xi Peng, Hongyuan Zhu, Liangli Zhen, Jie Lin

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

COMPLETER: Incomplete Multi-View Clustering via Contrastive Prediction.

Yijie Lin, Yuanbiao Gou, Zitao Liu, Boyun Li, Jiancheng Lv, Xi Peng

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

Contrastive Clustering.

Yunfan Li, Peng Hu, Jerry Zitao Liu, Dezhong Peng, Joey Tianyi Zhou, Xi Peng

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization.

Peng Hu, Xi Peng, Hongyuan Zhu, Mohamed M. Sabry Aly, Jie Lin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

RoSeq: Robust Sequence Labeling.

Joey Tianyi Zhou, Hao Zhang, Di Jin, Xi Peng, Yang Xiao, Zhiguo Cao

IEEE Trans. Neural Networks Learn. Syst., 2020

Deep Clustering With Sample-Assignment Invariance Prior.

Xi Peng, Hongyuan Zhu, Jiashi Feng, Chunhua Shen, Haixian Zhang, Joey Tianyi Zhou

IEEE Trans. Neural Networks Learn. Syst., 2020

Deep Subspace Clustering.

Xi Peng, Jiashi Feng, Joey Tianyi Zhou, Yingjie Lei, Shuicheng Yan

IEEE Trans. Neural Networks Learn. Syst., 2020

Zero-Shot Image Dehazing.

Boyun Li, Yuanbiao Gou, Jerry Zitao Liu, Hongyuan Zhu, Joey Tianyi Zhou, Xi Peng

IEEE Trans. Image Process., 2020

Dual Shared-Specific Multiview Subspace Clustering.

Tao Zhou, Changqing Zhang, Xi Peng, Harish Bhaskar, Jie Yang

IEEE Trans. Cybern., 2020

Attention-Driven Loss for Anomaly Detection in Video Surveillance.

Joey Tianyi Zhou, Le Zhang, Zhiwen Fang, Jiawei Du, Xi Peng, Yang Xiao

IEEE Trans. Circuits Syst. Video Technol., 2020

Multimodal image-to-image translation between domains with high internal variability.

Jian Wang, Jiancheng Lv, Xue Yang, Chenwei Tang, Xi Peng

Soft Comput., 2020

Partition level multiview subspace clustering.

Zhao Kang, Xinjia Zhao, Chong Peng, Hongyuan Zhu, Joey Tianyi Zhou, Xi Peng, Wenyu Chen, Zenglin Xu

Neural Networks, 2020

A Dynamic Parameter Enhanced Network for distant supervised relation extraction.

Yanjie Gou, Yinjie Lei, Lingqiao Liu, Pingping Zhang, Xi Peng

Knowl. Based Syst., 2020

Structured Graph Learning for Clustering and Semi-supervised Classification.

Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian

CoRR, 2020

Heterogeneous Representation Learning: A Review.

Joey Tianyi Zhou, Xi Peng, Yew-Soon Ong

CoRR, 2020

Partially View-aligned Clustering.

Zhenyu Huang, Peng Hu, Joey Tianyi Zhou, Jiancheng Lv, Xi Peng

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

CLEARER: Multi-Scale Neural Architecture Search for Image Restoration.

Yuanbiao Gou, Boyun Li, Zitao Liu, Songfan Yang, Xi Peng

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Semi-Supervised Multi-Modal Learning with Balanced Spectral Decomposition.

Peng Hu, Hongyuan Zhu, Xi Peng, Jie Lin

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning With Annotation of Various Degrees.

Joey Tianyi Zhou, Meng Fang, Hao Zhang, Chen Gong, Xi Peng, Zhiguo Cao, Rick Siow Mong Goh

IEEE Trans. Neural Networks Learn. Syst., 2019

AnomalyNet: An Anomaly Detection Network for Video Surveillance.

Joey Tianyi Zhou, Jiawei Du, Hongyuan Zhu, Xi Peng, Yong Liu, Rick Siow Mong Goh

IEEE Trans. Inf. Forensics Secur., 2019

Multiple Marginal Fisher Analysis.

Zhenyu Huang, Hongyuan Zhu, Joey Tianyi Zhou, Xi Peng

IEEE Trans. Ind. Electron., 2019

DNNRE: A Dynamic Neural Network for Distant Supervised Relation Extraction.

Yanjie Gou, Yinjie Lei, Lingqiao Liu, Pingping Zhang, Jingyi Zhang, Xi Peng

CoRR, 2019

Multi-view Spectral Clustering Network.

Zhenyu Huang, Joey Tianyi Zhou, Xi Peng, Changqing Zhang, Hongyuan Zhu, Jiancheng Lv

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

COMIC: Multi-view Clustering Without Parameter Selection.

Xi Peng, Zhenyu Huang, Jiancheng Lv, Hongyuan Zhu, Joey Tianyi Zhou

Proceedings of the 36th International Conference on Machine Learning, 2019

Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering.

Ruihuang Li, Changqing Zhang, Huazhu Fu, Xi Peng, Joey Tianyi Zhou, Qinghua Hu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms.

Canyi Lu, Xi Peng, Yunchao Wei

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective.

Hongyuan Zhu, Xi Peng, Joey Tianyi Zhou, Songfan Yang, Vijay Chanderasekh, Liyuan Li, Joo-Hwee Lim

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Transfer Hashing: From Shallow to Deep.

Joey Tianyi Zhou, Heng Zhao, Xi Peng, Meng Fang, Zheng Qin, Rick Siow Mong Goh

IEEE Trans. Neural Networks Learn. Syst., 2018

Connections Between Nuclear-Norm and Frobenius-Norm-Based Representations.

Xi Peng, Canyi Lu, Zhang Yi, Huajin Tang

IEEE Trans. Neural Networks Learn. Syst., 2018

Structured AutoEncoders for Subspace Clustering.

Xi Peng, Jiashi Feng, Shijie Xiao, Wei-Yun Yau, Joey Tianyi Zhou, Songfan Yang

IEEE Trans. Image Process., 2018

Orthogonal Principal Coefficients Embedding for Unsupervised Subspace Learning.

Xinxing Xu, Shijie Xiao, Zhang Yi, Xi Peng, Yong Liu

IEEE Trans. Cogn. Dev. Syst., 2018

k-meansNet: When k-means Meets Differentiable Programming.

Xi Peng, Joey Tianyi Zhou, Hongyuan Zhu

CoRR, 2018

DehazeGAN: When Image Dehazing Meets Differential Programming.

Hongyuan Zhu, Xi Peng, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

SC2Net: Sparse LSTMs for Sparse Coding.

Joey Tianyi Zhou, Kai Di, Jiawei Du, Xi Peng, Hao Yang, Sinno Jialin Pan, Ivor W. Tsang, Yong Liu, Zheng Qin, Rick Siow Mong Goh

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Bag of Events: An Efficient Probability-Based Feature Extraction Method for AER Image Sensors.

Xi Peng, Bo Zhao, Rui Yan, Huajin Tang, Zhang Yi

IEEE Trans. Neural Networks Learn. Syst., 2017

Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering.

Xi Peng, Zhiding Yu, Zhang Yi, Huajin Tang

IEEE Trans. Cybern., 2017

Automatic Subspace Learning via Principal Coefficients Embedding.

Xi Peng, Jiwen Lu, Zhang Yi, Rui Yan

IEEE Trans. Cybern., 2017

Regularization techniques for high-dimensional data analysis.

Jiwen Lu, Xi Peng, Weihong Deng, Ajmal S. Mian

Image Vis. Comput., 2017

Deep Sparse Subspace Clustering.

Xi Peng, Jiashi Feng, Shijie Xiao, Jiwen Lu, Zhang Yi, Shuicheng Yan

CoRR, 2017

Cascade Subspace Clustering.

Xi Peng, Jiashi Feng, Jiwen Lu, Wei-Yun Yau, Zhang Yi

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

A Unified Framework for Representation-Based Subspace Clustering of Out-of-Sample and Large-Scale Data.

Xi Peng, Huajin Tang, Lei Zhang, Zhang Yi, Shijie Xiao

IEEE Trans. Neural Networks Learn. Syst., 2016

Semi-supervised subspace learning with L2graph.

Xi Peng, Miaolong Yuan, Zhiding Yu, Wei-Yun Yau, Lei Zhang

Neurocomputing, 2016

Deep Subspace Clustering with Sparsity Prior.

Xi Peng, Shijie Xiao, Jiashi Feng, Wei-Yun Yau, Zhang Yi

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Fast low rank representation based spatial pyramid matching for image classification.

Xi Peng, Rui Yan, Bo Zhao, Huajin Tang, Zhang Yi

Knowl. Based Syst., 2015

Connections Between Nuclear Norm and Frobenius Norm Based Representation.

Xi Peng, Canyi Lu, Zhang Yi, Huajin Tang

CoRR, 2015

Applying low rank representation based spatial pyramid matching in welding image classification.

Aditya Narayanamoorthy, Xi Peng, Huajin Tang

Proceedings of the 7th International Conference on Cybernetics and Intelligent Systems, 2015

Robust Subspace Clustering via Thresholding Ridge Regression.

Xi Peng, Zhang Yi, Huajin Tang

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Learning locality-constrained collaborative representation for robust face recognition.

Xi Peng, Lei Zhang, Zhang Yi, Kok Kiong Tan

Pattern Recognit., 2014

Principal Coefficients Embedding: Theory and Algorithm.

Xi Peng, Zhang Yi, Huajin Tang

CoRR, 2014

2013

Local Neighborhood Embedding for Unsupervised Nonlinear Dimension Reduction.

Liangli Zhen, Xi Peng, Dezhong Peng

J. Softw., 2013

Free-gram phrase identification for modeling Chinese text.

Xi Peng, Zhang Yi, Xiao-Yong Wei, Dezhong Peng, Yongsheng Sang

Inf. Process. Lett., 2013

Locally linear representation for subspace learning and clustering

Liangli Zhen, Zhang Yi, Xi Peng, Dezhong Peng

CoRR, 2013

Inductive Sparse Subspace Clustering

Xi Peng, Lei Zhang, Zhang Yi

CoRR, 2013

An Out-of-sample Extension of Sparse Subspace Clustering and Low Rank Representation for Clustering Large Scale Data Sets.

Xi Peng, Lei Zhang, Zhang Yi

CoRR, 2013

Scalable Sparse Subspace Clustering.

Xi Peng, Lei Zhang, Zhang Yi

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Learning Locality-Constrained Collaborative Representation for Face Recognition

Xi Peng, Lei Zhang, Zhang Yi, Kok Kiong Tan

CoRR, 2012

Constructing L2-Graph For Subspace Learning and Segmentation

Xi Peng, Lei Zhang, Zhang Yi

CoRR, 2012