I am currently a full professor in College of Information Engineering at Northwest A&F University, start from spring 2024. Before that, I was a tenure-track assistant professor at Xi’an Jiaotong University. I received the Ph.D. degree in Computer Science at Northwestern Polytechnical University in 2022, and received the B.E. degree in Electronic Information Engineering at Northwestern Polytechnical University in 2017.
Moreover, I am the co-organizer of AI4BREAD lab that focuses on the interdisciplinary research of artificial intelligence. The intersection between different disciplines often brings unexpected surprises, which is the biggest driving force of my research.
I’m always looking for self-motivated Ph.D, Master students and undergraduate intern. If you’re interested, please feel free to contact me. Let’s do interesting, useful and warm research together!
🔥 News
- 2024.05: 🎉🎉 One paper has been accepted by TPAMI. Congrats to Zhenkun!
- 2024.04: 🎉🎉 One paper has been accepted by TNNLS. Congrats to Yidan!
- 2024.04: 🎉🎉 One paper has been accepted by TSP. Congrats to Penglei!
- 2024.03: 🎉🎉 One paper has been accepted by WWW. Congrats to Xinjie!
- 2024.01: 🎉🎉 One paper has been accepted by TNNLS. Congrats to Xia Dong!
- 2024.01: 🎉🎉 One paper has been accepted by TMLR. Congrats to Jitao!
- 2023.10: 🎉🎉 One paper has been accepted by KBS. Congrats to all authors!
- 2023.07: 🎉🎉 One paper has been accepted by ACM MM. Congrats to Penglei!
- 2023.05: 🎉🎉 One paper has been accepted by TNNLS. Congrats to all authors!
- 2023.02: 🎉🎉 One paper has been accepted by TPAMI. Congrats to all authors!
🎖 Research Interests
- Machine Learning & Signal Processing on Multi-modal Graphs
- AI for Bioinformatics: Single-cell analysis across Modalities, RNA 2D/3D Structure Prediction
- AI for Remote Sensing: Hyper/Multi-spectral Image Processing
- AI for Physics: Vortex Structures Recognition
📖 Services
- PC Member: ICLR 2024, ICML 2024, NeurIPS 2023, ACM-MM 2023-2024, AAAI 2023-2024, PRML 2023, etc.
- Journal Reviewer: TPAMI, TNNLS, TCSVT, Pattern Recognition, Knowledge-based System, Neural Networks, etc.
📝 Selected Publications
Pre-print
Pre-print 2023
NP$^2$L: Negative Pseudo Partial Labels Extraction for Graph Neural Networks
Xinjie Shen, Danyang Wu^, Feiping Nie, Rong Wang, Xuelong Li
[Paper]
Journal
TPAMI 2024
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]
TNNLS 2024
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]
TSP 2024
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]
TMLR 2024
Hyperspherical Prototype Node Clustering
Jitao Lu, Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li
Transactions on Machine Learning Research, 2024
[Paper] [Code]
TNNLS 2023
Multi-View and Multi-Order Structured Graph Learning
Rong Wang, Penglei Wang, Danyang Wu^, Zhensheng Sun^, Feiping Nie, Xuelong Li
IEEE Transactions on Neural Networks and Learning Systems, 2023
[Paper] [Code]
TKDE 2023
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]
TNNLS 2022
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]
TNNLS 2022
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]
TAI 2022
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]
TPAMI 2022
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]
Conference
WWW 2024
Simple Multigraph Convolution Networks
Danyang Wu, Xinjie Shen, Jitao Lu, Jin Xu, Feiping Nie
WWW, 2024
[Paper] [Code]
ACM MM 2023
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]
IJCAI 2022
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]
IJCAI 2021
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]
📖 Gallery
TuanTuan
She is TuanTuan.
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.
TuanTuan
Sometimes she feels like she’s a serious alien.
TuanTuan
Sometimes a laid-back alien.
