Zhu Wang

According to our database, Zhu Wang authored at least 19 papers between 2018 and 2026.

Collaborative distances:

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

2026

Learning Subspace-Preserving Sparse Attention Graphs from Heterogeneous Multiview Data.

Jie Chen, Yuanbiao Gou, Chuanbin Liu, Zhu Wang, Xi Peng

CoRR, May, 2026

Multiview Self-Representation Learning across Heterogeneous Views.

Jie Chen, Zhu Wang, Chuanbin Liu, Xi Peng

CoRR, February, 2026

Conditional Distribution Learning for Graph Classification.

Jie Chen, Hua Mao, Chuanbin Liu, Zhu Wang, Xi Peng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

One-Step Adaptive Graph Learning for Incomplete Multiview Subspace Clustering.

Jie Chen, Hua Mao, Wai Lok Woo, Chuanbin Liu, Zhu Wang, Xi Peng

IEEE Trans. Knowl. Data Eng., May, 2025

Online Sparse Representation Clustering for Evolving Data Streams.

Jie Chen, Shengxiang Yang, Conor Fahy, Zhu Wang, Yinan Guo, Yingke Chen

IEEE Trans. Neural Networks Learn. Syst., January, 2025

2024

Augmented Sparse Representation for Incomplete Multiview Clustering.

Jie Chen, Shengxiang Yang, Xi Peng, Dezhong Peng, Zhu Wang

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Spectral Embedding Fusion for Incomplete Multiview Clustering.

Jie Chen, Yingke Chen, Zhu Wang, Haixian Zhang, Xi Peng

IEEE Trans. Image Process., 2024

Self-Supervised Conditional Distribution Learning on Graphs.

Jie Chen, Hua Mao, Yuanbiao Gou, Zhu Wang, Xi Peng

CoRR, 2024

2023

Low-Rank Tensor Learning for Incomplete Multiview Clustering.

Jie Chen, Zhu Wang, Hua Mao, Xi Peng

IEEE Trans. Knowl. Data Eng., November, 2023

Two-Stage Sparse Representation Clustering for Dynamic Data Streams.

Jie Chen, Zhu Wang, Shengxiang Yang, Hua Mao

IEEE Trans. Cybern., October, 2023

Efficient Sparse Representation for Learning With High-Dimensional Data.

Jie Chen, Shengxiang Yang, Zhu Wang, Hua Mao

IEEE Trans. Neural Networks Learn. Syst., August, 2023

2022

Multi-view representation learning for data stream clustering.

Jie Chen, Shengxiang Yang, Zhu Wang

Inf. Sci., 2022

2021

Low-rank representation with adaptive dictionary learning for subspace clustering.

Jie Chen, Hua Mao, Zhu Wang, Xinpei Zhang

Knowl. Based Syst., 2021

Joint Extraction Methods for Semantic Retrieval in Chinese Judicial Cases.

Hao Wu, Songyuan Gu, Zhu Wang, Yang Weng

Proceedings of the 16th International Conference on Computer Science & Education, 2021

Semantic Matching of Legal Cases for large Scale Judgments of China.

Yanlin Mou, Yang Weng, Songyuan Gu, Zhu Wang

Proceedings of the 16th International Conference on Computer Science & Education, 2021

Scaling Analysis of Crime Rate with Large Scale Judgments of China.

Jing Li, Yang Weng, Zhu Wang, Suyuan Gu

Proceedings of the 16th International Conference on Computer Science & Education, 2021

Large-Scale Judgments Based Sentencing Analysis of Drunk Driving Crime.

Xiaoyi Jin, Yang Weng, Xin Li, Peiqi Liu, Zhu Wang

Proceedings of the 16th International Conference on Computer Science & Education, 2021

2020

Few-Shot Learning for Chinese Legal Controversial Issues Classification.

Yin Fang, Xin Tian, Hao Wu, Songyuan Gu, Zhu Wang, Feng Wang, Junliang Li, Yang Weng

IEEE Access, 2020

2018

K-Means Clustering for Controversial Issues Merging in Chinese Legal Texts.

Xin Tian, Yin Fang, Yang Weng, Yawen Luo, Huifang Cheng, Zhu Wang

Proceedings of the Legal Knowledge and Information Systems, 2018