Appearance changes detection during tracking. - Wei Chen; Xifeng Guo 001; Xinwang Liu 002; En Zhu; Jianping Yin (ICPR, 2016)

A simple approach for unsupervised domain adaptation. - Xifeng Guo 001; Wei Chen; Jianping Yin (ICPR, 2016)

一种基于交点权重图的指纹焦点检测方法 (Fingerprint Focal Point Detection Method Based on Map of Cross Points' Weights). - Xifeng Guo 001; En Zhu; Sihang Zhou 001; Xiaolong Shen; Jianping Yin (计算机科学, 2016)

Walking to singular points of fingerprints. - En Zhu; Xifeng Guo 001; Jianping Yin (Pattern Recognit., 2016)

Deep Clustering with Convolutional Autoencoders. - Xifeng Guo 001; Xinwang Liu 002; En Zhu; Jianping Yin (ICONIP (2), 2017)

Improved Deep Embedded Clustering with Local Structure Preservation. - Xifeng Guo 001; Long Gao; Xinwang Liu 002; Jianping Yin (IJCAI, 2017)

Deep Embedding for Determining the Number of Clusters. - Yiqi Wang 001; Zhan Shi; Xifeng Guo 001; Xinwang Liu 002; En Zhu; Jianping Yin (AAAI, 2018)

Deep Embedded Clustering with Data Augmentation. - Xifeng Guo 001; En Zhu; Xinwang Liu 002; Jianping Yin (ACML, 2018)

A framework of predicting drug resistance of lung tuberculosis by utilizing radiological images. - Jianping Yin; Mengchi Lu; Long Gao; Xifeng Guo 001 (ICACI, 2018)

Chronic Wounds Image Generator Based on Deep Convolutional Generative Adversarial Networks. - Junnan Zhang; En Zhu; Xifeng Guo 001; Haohao Chen; Jianping Yin (NCTCS, 2018)

A Survey of Clustering With Deep Learning: From the Perspective of Network Architecture. - Erxue Min; Xifeng Guo 001; Qiang Liu 004; Gen Zhang; Jianjing Cui; Jun Long (IEEE Access, 2018)

Incomplete Multiview Clustering via Late Fusion. - Yongkai Ye; Xinwang Liu 002; Qiang Liu 004; Xifeng Guo 001; Jianping Yin (Comput. Intell. Neurosci., 2018)

A fast and accurate method for detecting fingerprint reference point. - Xifeng Guo 001; En Zhu; Jianping Yin (Neural Comput. Appl., 2018)

Affine Equivariant Autoencoder. - Xifeng Guo 001; En Zhu; Xinwang Liu 002; Jianping Yin (IJCAI, 2019)

Fast and unsupervised outlier removal by recurrent adaptive reconstruction extreme learning machine. - Siqi Wang 001; Qiang Liu 004; Xifeng Guo 001; En Zhu; Jianping Yin (Int. J. Mach. Learn. Cybern., 2019)

An Efficient and Robust Unsupervised Anomaly Detection Method Using Ensemble Random Projection in Surveillance Videos. - Jingtao Hu; En Zhu; Siqi Wang 001; Xinwang Liu 002; Xifeng Guo 001; Jianping Yin (Sensors, 2019)

Multi-View Spectral Clustering with Optimal Neighborhood Laplacian Matrix. - Sihang Zhou 001; Xinwang Liu 002; Jiyuan Liu 003; Xifeng Guo 001; Yawei Zhao; En Zhu; Yongping Zhai; Jianping Yin; Wen Gao 001 (AAAI, 2020)

Image Representation Learning by Transformation Regression. - Xifeng Guo 001; Jiyuan Liu 003; Sihang Zhou 001; En Zhu; Shihao Dong (ICPR, 2020)

Anchor-Based Multiview Subspace Clustering With Diversity Regularization. - Qiyuan Ou; Siwei Wang 001; Sihang Zhou 001; Miaomiao Li 001; Xifeng Guo 001; En Zhu (IEEE Multim., 2020)

Adaptive Weighted Graph Fusion Incomplete Multi-View Subspace Clustering. - Pei Zhang 008; Siwei Wang 001; Jingtao Hu; Zhen Cheng 004; Xifeng Guo 001; En Zhu; Zhiping Cai (Sensors, 2020)

Adaptive Self-Paced Deep Clustering with Data Augmentation. - Xifeng Guo 001; Xinwang Liu 002; En Zhu; Xinzhong Zhu; Miaomiao Li 001; Xin Xu 001; Jianping Yin (IEEE Trans. Knowl. Data Eng., 2020)

Deep Fusion Clustering Network. - Wenxuan Tu; Sihang Zhou 001; Xinwang Liu 002; Xifeng Guo 001; Zhiping Cai; En Zhu; Jieren Cheng (AAAI, 2021)

Deep Distribution-preserving Incomplete Clustering with Optimal Transport. - Mingjie Luo; Siwei Wang 001; Xinwang Liu 002; Wenxuan Tu; Yi Zhang 104; Xifeng Guo 001; Sihang Zhou 001; En Zhu (CoRR, 2021)

A Survey of Deep Graph Clustering: Taxonomy, Challenge, and Application. - Yue Liu 008; Jun Xia 001; Sihang Zhou 001; Siwei Wang 001; Xifeng Guo 001; Xihong Yang; Ke Liang 006; Wenxuan Tu; Stan Z. Li; Xinwang Liu 002 (CoRR, 2022)

Auxiliary Graph for Attribute Graph Clustering. - Wang Li; Siwei Wang 001; Xifeng Guo 001; Zhenyu Zhou; En Zhu (Entropy, 2022)

Projective Multiple Kernel Subspace Clustering. - Mengjing Sun; Siwei Wang 001; Pei Zhang 008; Xinwang Liu 002; Xifeng Guo 001; Sihang Zhou 001; En Zhu (IEEE Trans. Multim., 2022)

Multiview Subspace Clustering via Co-Training Robust Data Representation. - Jiyuan Liu 003; Xinwang Liu 002; Yuexiang Yang; Xifeng Guo 001; Marius Kloft; Liangzhong He (IEEE Trans. Neural Networks Learn. Syst., 2022)

Attributed Graph Subspace Clustering with Graph-Boosting. - Wang Li; En Zhu; Siwei Wang 001; Xifeng Guo 001 (ACML, 2023)

Deep graph clustering with multi-level subspace fusion. - Wang Li; Siwei Wang 001; Xifeng Guo 001; En Zhu (Pattern Recognit., 2023)

Graph Clustering with High-Order Contrastive Learning. - Wang Li; En Zhu; Siwei Wang 001; Xifeng Guo 001 (Entropy, 2023)