Non-rigid 3D Object Retrieval with a Learned Shape Descriptor. - Xiangfu Shi; Jieyu Zhao 002; Long Zhang; Xulun Ye (ICIG (2), 2017)

Local and Global Sparsity for Deep Learning Networks. - Long Zhang; Jieyu Zhao 002; Xiangfu Shi; Xulun Ye (ICIG (2), 2017)

A Nonparametric Model for Multi-Manifold Clustering with Mixture of Gaussians and Graph Consistency. - Xulun Ye; Jieyu Zhao 002; Yu Chen 067 (Entropy, 2018)

Open Set Deep Learning with A Bayesian Nonparametric Generative Model. - Xulun Ye; Jieyu Zhao 002 (ACM Multimedia, 2019)

Multi-manifold clustering: A graph-constrained deep nonparametric method. - Xulun Ye; Jieyu Zhao 002 (Pattern Recognit., 2019)

A Nonparametric Deep Generative Model for Multimanifold Clustering. - Xulun Ye; Jieyu Zhao 002; Long Zhang; Lijun Guo (IEEE Trans. Cybern., 2019)

Cooperation: A new force for boosting generative adversarial nets with dual-network structure. - Long Zhang; Jieyu Zhao 002; Xulun Ye; Yu Chen 067 (IET Image Process., 2020)

Bayesian Adversarial Spectral Clustering With Unknown Cluster Number. - Xulun Ye; Jieyu Zhao 002; Yu Chen 067; Lijun Guo (IEEE Trans. Image Process., 2020)

Dynamic Relevance Learning for Few-Shot Object Detection. - Weijie Liu; Chong Wang 001; Haohe Li; Shenghao Yu; Song Chen; Xulun Ye; Jiafei Wu (CoRR, 2021)

Deep Bayesian Sparse Subspace Clustering. - Xulun Ye; Shuhui Luo; Jieyu Zhao 002 (IEEE Signal Process. Lett., 2021)

mmGaitSet: multimodal based gait recognition for countering carrying and clothing changes. - Liming Zhao; Lijun Guo; Rong Zhang 007; Xijiong Xie; Xulun Ye (Appl. Intell., 2022)

One-Step Adaptive Spectral Clustering Networks. - Fuping Zhang; Jieyu Zhao 002; Xulun Ye; Hao Chen (IEEE Signal Process. Lett., 2022)

Integrating biplane information and context for spine landmark detection. - Menghao Gao; Lijun Guo; Xulun Ye; Rong Zhang 007 (EMBC, 2023)

Heterogeneous clustering via adversarial deep Bayesian generative model. - Xulun Ye; Jieyu Zhao 002 (Frontiers Comput. Sci., 2023)

BUSIFusion: Blind Unsupervised Single Image Fusion of Hyperspectral and RGB Images. - Jiabao Li; Yuqi Li; Chong Wang 001; Xulun Ye; Wolfgang Heidrich (IEEE Trans. Computational Imaging, 2023)

Graph Convolutional Network With Unknown Class Number. - Xulun Ye; Jieyu Zhao 002 (IEEE Trans. Multim., 2023)

Laplacian Lp norm least squares twin support vector machine. - Xijiong Xie; Feixiang Sun; Jiangbo Qian; Lijun Guo; Rong Zhang 007; Xulun Ye; Zhijin Wang (Pattern Recognit., 2023)

Harmonized Portrait-Background Image Composition. - Yijiang Wang; Yuqi Li; Chong Wang 001; Xulun Ye (Comput. Graph. Forum, 2023)

Blind inverse light transport using unrolling network. - Wenting Yin; Yuqi Li; Jiabao Li; Xulun Ye; Lijun Guo (Appl. Intell., 2023)

Few Shot Contrastive Spectral Clustering with Meta Learning and Neighbor Mining. - Nongxiao Wang; Xulun Ye; Jieyu Zhao 002; Qing Wang (IJCNN, 2024)

SoftmaxU: Open softmax to be aware of unknowns. - Xulun Ye; Jieyu Zhao 002; Jiangbo Qian; Yuqi Li (Eng. Appl. Artif. Intell., 2024)

A Vision Enhancement and Feature Fusion Multiscale Detection Network. - Chengwu Qian; Jiangbo Qian; Chong Wang 001; Xulun Ye; Caiming Zhong (Neural Process. Lett., 2024)

Semantic Spectral Clustering with Contrastive Learning and Neighbor Mining. - Nongxiao Wang; Xulun Ye; Jieyu Zhao 002; Qing Wang (Neural Process. Lett., 2024)

Learning Low-Rank Representation Approximation for Few-Shot Deep Subspace Clustering. - Qing Wang; Xulun Ye; Nongxiao Wang (IEEE Trans. Circuits Syst. Video Technol., 2024)

Few-Shot Meta Spectral Clustering with knowledge reuse. - Zijie Gu; Xulun Ye; Qi Xu (Expert Syst. Appl., 2025)