教师名录
近五年主要科研成果：
一、学术论文：
[1] Ye X, Zhao J, Chen Y, Guo L. Bayesian Adversarial Spectral Clustering with Unknown Cluster Number. IEEE Transactions on Image Processing. 2020. CCF A，中科院一区,IF: 10.856
[2] Ye X, Zhao J. Open Set Deep Learning with A Bayesian Nonparametric Generative Model. ACM MM 2019 FULL PAPER. CCF A
[3] Ye X, Zhao J, Zhang L, Guo L. A Nonparametric Deep Generative Model for Multimanifold Clustering[J]. IEEE Transactions on Cybernetics, 2019 49(7): 2664-2677. 中科院一区,IF: 11.448
[4]Ye X, Zhao J. Multi-manifold Clustering: A Graph-constrained Deep Nonparametric Method[J]. Pattern Recognition.2019 93 (2019) : 215–227. 中科院二区,IF: 7.740
[5]Ye X, Zhao J. Graph Convolutional Network with Unknown Class Number [J]. IEEE Transactions on Multimedia, 2022. 中科院一区, IF: 6.513
[6]Wang Q, Ye X*, Wang N. Learning Low-Rank Representation Approximation for Few-shot Deep Subspace Clustering [J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024. 中科院一区, IF: 8.4
[7]Ye X, Zhao J. SoftmaxU: Open Softmax to Be Aware of Unknowns, Engineering Applications of Artificial Intelligence, 2024. 中科院二区,IF:7.4
[8]Ye X, Zhao J. Heterogeneous Clustering via Adversarial Deep Bayesian Generative Model [J]. Frontiers of Computer Science, 2022. 中科院二区,IF: 2.061
[9]Ye X, Luo S, Zhao J. Deep Bayesian Sparse Subspace Clustering[J].IEEE Signal Processing Letters. 2021. 中科院二区,IF: 3.109
[10]Wang N,Ye X*, Semantic Spectral Clustering with Contrastive Learning and Neighbor Mining, Neural Processing Letters, 2024, 中科院四区
二、项目课题：
[1]高质量3D网格渲染（横向，企业合作项目，主持）
[2]PDF文档对比（横向，企业合作项目，主持）
[3]面向开放环境的图卷积网络研究及应用（国家自然科学基金青年项目，主持）
[4]面向多源异构数据的半监督多流形聚类算法研究及应用 （浙江省自然科学基金项目，主持）
[5]结合狄利克雷过程的变分图卷积网络及其应用（CAD&CG国家重点实验室开放课题，主持）
[6]三维形变目标内蕴特征提取与聚类分析（国家自然科学基金项目，主要参与人）
三、获奖情况：