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 by email and follow this tips. Let’s do interesting, useful and warm research together!

πŸ”₯ News

  • 2024.10: Β πŸŽ‰πŸŽ‰ One paper has been accepted by TCSVT. Congrats to Zihua!
  • 2024.09: Β πŸŽ‰πŸŽ‰ One paper has been accepted by IEEE/CAA JAS. Congrats to all authors!
  • 2024.07: Β πŸŽ‰πŸŽ‰ Congrats to Xinjie (Lab Intern) for winning the Microsoft Star of Tomorrow award!
  • 2024.05: Β πŸŽ‰πŸŽ‰ One paper has been accepted by TKDE. Congrats to all authors!
  • 2024.05: Β πŸŽ‰πŸŽ‰ One paper has been accepted by TPAMI. Congrats to Zhenkun!
  • 2024.04: Β πŸŽ‰πŸŽ‰ One paper has been accepted by TNNLS. Congrats to Yidan!
  • 2024.04: Β πŸŽ‰πŸŽ‰ One paper has been accepted by TSP. Congrats to Penglei!
  • 2024.03: Β πŸŽ‰πŸŽ‰ One paper has been accepted by WWW. Congrats to Xinjie!
  • 2024.01: Β πŸŽ‰πŸŽ‰ One paper has been accepted by TNNLS. Congrats to Xia Dong!
  • 2024.01: Β πŸŽ‰πŸŽ‰ One paper has been accepted by TMLR. Congrats to Jitao!

πŸŽ– Research Interests

Our team’s research interests focus on the following areas:

  • Haplotype-resolved genome assembly of polyploid crop species
  • Multi-omics Analysis And Health Development Platform
  • Multi-modal Data Fusion, Learning and Inference

My interest is in designing AI models (especially graph-based models) for these areas.

πŸ“– Services

  • PC Member: ICLR 2024-2025, ICML 2024, NeurIPS 2023-2024, KDD 2025, ACM-MM 2023-2024, AAAI 2023-2024, etc.
  • Journal Reviewer: TPAMI, TNNLS, TCSVT, etc.

πŸ“ Selected Publications

Pre-print

Pre-print 2023
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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
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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
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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
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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
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Hyperspherical Prototype Node Clustering

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

Transactions on Machine Learning Research, 2024

[Paper] [Code]

TNNLS 2023
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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
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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
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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
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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
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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
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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
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Simple Multigraph Convolution Networks

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

WWW, 2024

[Paper] [Code]

ACM MM 2023
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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
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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
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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]

πŸ“– Gallery

TuanTuan
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She is TuanTuan.

She is a member who has β€˜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
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Sometimes she feels like she’s a serious alien.

TuanTuan
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Sometimes a laid-back alien.