Wu Chen

According to our database, Wu Chen authored at least 26 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Hierarchical graph augmented stacked autoencoders for multi-view representation learning.

Jianping Gou, Nannan Xie, Jinhua Liu, Baosheng Yu, Weihua Ou, Zhang Yi, Wu Chen

Inf. Fusion, February, 2024

Difference-Aware Distillation for Semantic Segmentation.

Jianping Gou, Xiabin Zhou, Lan Du, Yibing Zhan, Wu Chen, Zhang Yi

IEEE Trans. Multim., 2024

Subspace clustering based on latent low-rank representation with transformed Schatten-1 penalty function.

Dong Hu, Qin Qu, Zhuo Liu, Wu Chen, Zhi Wang

Knowl. Based Syst., 2024

TP-GNN: Continuous Dynamic Graph Neural Network for Graph Classification.

Jie Liu, Jiamou Liu, Kaiqi Zhao, Yanni Tang, Wu Chen

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Composite Object Normal Forms: Parameterizing Boyce-Codd Normal Form by the Number of Minimal Keys.

Zhuoxing Zhang, Wu Chen, Sebastian Link

Proc. ACM Manag. Data, 2023

Hyperspectral Image Denoising Using Nonconvex Fraction Function.

Tianyu Liu, Dong Hu, Zhi Wang, Jianping Gou, Wu Chen

IEEE Geosci. Remote. Sens. Lett., 2023

Graph-Based Log Anomaly Detection via Adversarial Training.

Zhangyue He, Yanni Tang, Kaiqi Zhao, Jiamou Liu, Wu Chen

Proceedings of the Dependable Software Engineering. Theories, Tools, and Applications, 2023

LGLog: Semi-supervised Graph Representation Learning for Anomaly Detection based on System Logs.

Jialong Liu, Yanni Tang, Jiamou Liu, Kaiqi Zhao, Wu Chen

Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

SupConFL: Fault Localization with Supervised Contrastive Learning.

Wei Chen, Wu Chen, Jiamou Liu, Kaiqi Zhao, Mingyue Zhang

Proceedings of the 14th Asia-Pacific Symposium on Internetware, 2023

Robust Principal Component Analysis via Truncated $L_{1-2}$ Minimization.

Ying Huang, Zhi Wang, Qiang Chen, Wu Chen

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Large-Scale Affine Matrix Rank Minimization With a Novel Nonconvex Regularizer.

Zhi Wang, Yu Liu, Xin Luo, Jianjun Wang, Chao Gao, Dezhong Peng, Wu Chen

IEEE Trans. Neural Networks Learn. Syst., 2022

An Anomaly Detection Framework for System Logs Based on Ensemble Learning.

Wenjing Xiong, Wu Chen, Jiamou Liu, Kaiqi Zhao

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022

Robust Subspace Clustering Based on Latent Low-rank Representation with Weighted Schatten-p Norm Minimization.

Qin Qu, Zhi Wang, Wu Chen

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Subspace Clustering based on Latent Low Rank Representation with Weighted Nuclear Norm Minimization.

Cuiying Huang, Zhi Wang, Wu Chen

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

2021

Time-Efficient Ensemble Learning with Sample Exchange for Edge Computing.

Wu Chen, Yong Yu, Keke Gai, Jiamou Liu, Kim-Kwang Raymond Choo

ACM Trans. Internet Techn., 2021

Performance guarantees of transformed Schatten-1 regularization for exact low-rank matrix recovery.

Zhi Wang, Dong Hu, Xiaohu Luo, Wendong Wang, Jianjun Wang, Wu Chen

Int. J. Mach. Learn. Cybern., 2021

Exchange, adopt, evolve: Modeling the spreading of opinions through cognition and interaction in a social network.

Yanni Tang, Jiamou Liu, Wu Chen

Inf. Sci., 2021

2020

Accelerated inexact matrix completion algorithm via closed-form q-thresholding (q = 1/2, 2/3) operator.

Zhi Wang, Chao Gao, Xiaohu Luo, Ming Tang, Jianjun Wang, Wu Chen

Int. J. Mach. Learn. Cybern., 2020

2019

Efficient and Robust Emergence of Conventions through Learning and Staying.

Wei Liu, Shuyue Hu, Jiamou Liu, Wu Chen, Siyuan Chen, Yong Yu

Proceedings of the IEEE International Conference on Agents, 2019

Maximizing Social Welfare in Fractional Hedonic Games using Shapley Value.

Siyuan Chen, Wei Liu, Jiamou Liu, Khí-Uí Soo, Wu Chen

Proceedings of the IEEE International Conference on Agents, 2019

How to Improve the Cohesion of a Social Network? A Structural Perspective.

Ruochen Jiang, Jiamou Liu, Wu Chen

Proceedings of the 2019 Seventh International Symposium on Computing and Networking, 2019

Decentralized Ensemble Learning Based on Sample Exchange among Multiple Agents.

Yong Yu, Jia Deng, Yanni Tang, Jiamou Liu, Wu Chen

Proceedings of the 2019 ACM International Symposium on Blockchain and Secure Critical Infrastructure, 2019

2018

A Search Optimization Method for Rule Learning in Board Games.

Hui Wang, Yanni Tang, Jiamou Liu, Wu Chen

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Establishing Connections in a Social Network - Radial Versus Medial Centrality Indices.

Yanni Tang, Jiamou Liu, Wu Chen, Zhuoxing Zhang

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Evaluating and Analyzing Reliability over Decentralized and Complex Networks.

Jaron Mar, Jiamou Liu, Yanni Tang, Wu Chen, Tianyi Sun

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

2017

A consensus value approach for influence maximization in social networks.

Fang Yang, Hui Wang, Yanni Tang, Jiamou Liu, Wu Chen

Proceedings of the IEEE International Conference on Agents, 2017