Separable Spatial Single-cell Transcriptome Representation Learning via Graph Transformer and Hyperspherical Prototype Clustering

Laiyi Fu, Penglei Wang, Gaoyuan Xu, Jitao Lu, Hequan Sun, Danyang Wu$^*$

[Paper]

NP$^2$L: Negative Pseudo Partial Labels Extraction for Graph Neural Networks

Xinjie Shen, Danyang Wu$^*$, Feiping Nie, Rong Wang, Xuelong Li

[Paper]

Comprehensive Information Extraction with Separable Representation Learning for Multi-View Clustering

Penglei Wang, Danyang Wu$^*$, Jin Xu, Feiping Nie

IEEE Transactions on Circuits and Systems for Video Technology, 2025

[Paper] [Code]

Triangle Topology Enhancement for Multi-View Graph Clustering

Danyang Wu$^1$, Penglei Wang$^1$, Jitao Lu, Zhanxuan Hu, Hongming Zhang, Feiping Nie

IEEE Transactions on Knowledge and Data Engineering, 2025

[Paper] [Code]

Parallel Seeds: From Foundation Models to Foundation Intelligence for Agricultural Sustainability

Laiyi Fu, Shunkang Ling, Danyang Wu, Mengzhen Kang, Feiyue Wang, Hequan Sun

IEEE/CAA Journal of Automatica Sinica, 2025

[Paper] [Code]

EBMGC-GNF: Efficient Balanced Multi-view Graph Clustering via Good Neighbor Fusion

Danyang Wu$^1$, Zhenkun Yang$^1$, Jitao Lu, Jin Xu, Xiangmin Xu, Feiping Nie

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

[Paper] [Code]

Cross-view Approximation on Grassmann Manifold for Multi-view Clustering

Yidan Ma, Xinjie Shen, Danyang Wu$^*$, Jianfu Cao, Feiping Nie

IEEE Transactions on Neural Networks and Learning Systems, 2024

[Paper] [Code]

Adaptive Local Modularity Learning for Efficient Multilayer Graph Clustering

Danyang Wu, Penglei Wang, Junjie Liang, Jitao Lu, Jin Xu, Rong Wang, Feiping Nie

IEEE Transactions on Signal Processing, 2024

[Paper] [Code]

Hyperspherical Prototype Node Clustering

Jitao Lu, Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li

Transactions on Machine Learning Research, 2024

[Paper] [Code]

Effective Clustering via Structured Graph Learning

Danyang Wu, Feiping Nie, Jitao Lu, Rong Wang, Xuelong Li

IEEE Transactions on Knowledge and Data Engineering, 2023

[Paper] [Code]

Bidirectional Probabilistic Subspaces Approximation for Multiview Clustering

Danyang Wu, Xia Dong, Jianfu Cao, Rong Wang, Feiping Nie, Xuelong Li

IEEE Transactions on Neural Networks and Learning Systems, 2022

[Paper] [Code]

Parameter-free Consensus Embedding Learning for Multiview Graph-based Clustering

Danyang Wu, Feiping Nie, Xia Dong, Rong Wang, Xuelong Li

IEEE Transactions on Neural Networks and Learning Systems, 2022

[Paper] [Code]

Balanced Graph Cut With Exponential Inter-Cluster Compactness

Danyang Wu, Feiping Nie, Jitao Lu, Rong Wang, Xuelong Li

IEEE Transactions on Artificial Intelligence, 2022

[Paper] [Code]

Truncated Robust Principle Component Analysis with a General Optimization Framework

Feiping Nie, Danyang Wu, Rong Wang, Xuelong Li

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022

[Paper] [Code]

Simple Multigraph Convolution Networks

Danyang Wu, Xinjie Shen, Jitao Lu, Jin Xu, Feiping Nie

WWW, 2024

[Paper] [Code]

Multi-view Graph Clustering via Efficient Global-Local Spectral Embedding Fusion

Penglei Wang$^1$, Danyang Wu$^1$, Rong Wang, Feiping Nie

ACM MM, 2023

[Paper] [Code]

EMGC$^2$F: Efficient Multi-view Graph Clustering with Comprehensive Fusion

Danyang Wu$^1$, Jitao Lu$^1$, Feiping Nie, Rong Wang, Yuan Yuan

IJCAI, 2022

[Paper] [Code]

GSPL: A Succinct Kernel Model for Group-Sparse Projections Learning of Multiview Data.

Danyang Wu, Jin Xu, Xia Dong, Meng Liao, Rong Wang, Feiping Nie, Xuelong Li

IJCAI, 2021

[Paper] [Code]

She is ZhuangZhuang (壮壮).

She is a member who has ‘contributed’ greatly to my research. But due to some restrictions, she cannot appear in my author list.

I would like to express my gratitude to her here.

Sometimes she feels like she’s a serious alien.

Sometimes a laid-back alien.

Serious viewer…