Jielong Lu

According to our database, Jielong Lu authored at least 19 papers between 2023 and 2026.

Collaborative distances:

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

2026

IRS-assisted communication performance optimization method for shipborne DFRC system.

Jielong Lu, Zhenkai Zhang, Boon-Chong Seet, Baiheng Wang

Signal Process., 2026

Position-aware and degree-adaptive graph neural networks for multi-view representation learning.

Haiyao Su, Yuhong Chen, Jielong Lu, Aiping Huang, Shiping Wang

Knowl. Based Syst., 2026

Deep dual contrastive learning for multi-view subspace clustering.

Xincan Lin, Jie Lian, Zhihao Wu, Jielong Lu, Shiping Wang

Inf. Sci., 2026

Unifying Multi-View Knowledge for Graph Learning via Model Collaboration.

Zhihao Wu, Jielong Lu, Zihan Fang, Jinyu Cai, Guangyong Chen, Jiajun Bu, Haishuai Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

From Static to Active: Knowledge-Aware Node State Selection in Multi-view Graph Learning.

Weiran Liao, Jielong Lu, Yuhong Chen, Shide Du, Hongrong Chen, Shiping Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Beyond Local Patterns: Multiscale Inconsistency Learning for Graph Anomaly Detection.

Jie Lian, Zhihao Wu, Jielong Lu, Jiajun Yu, Qianqian Shen, Haishuai Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors.

Jielong Lu, Zhihao Wu, Zhiling Cai, Yueyang Pi, Shiping Wang

CoRR, April, 2025

Dual-channel optimized multi-view learning via information bottleneck.

Jiacheng Li, Yuhong Chen, Jie Lian, Jielong Lu, Weiran Liao, Shiping Wang

Knowl. Based Syst., 2025

Where Graph Meets Heterogeneity: Multi-View Collaborative Graph Experts.

Zhihao Wu, Jinyu Cai, Yunhe Zhang, Jielong Lu, Zhaoliang Chen, Shuman Zhuang, Haishuai Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Where Views Meet Curves: Virtual Anchors for Hyperbolic Multi-View Graph Diffusion.

Jielong Lu, Zhihao Wu, Jiajun Yu, Qianqian Shen, Jiajun Bu, Haishuai Wang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

A Centrality-based Graph Learning Framework.

Jiajun Yu, Zhihao Wu, Jielong Lu, Tianyue Wang, Haishuai Wang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Divide and Conquer: Coordinating Multiplex Mixture of Graph Learners to Handle Multi-Omics Analysis.

Zhihao Wu, Jielong Lu, Jiajun Yu, Sheng Zhou, Yueyang Pi, Haishuai Wang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Multi-Omics Analysis for Cancer Subtype Inference via Unrolling Graph Smoothness Priors.

Jielong Lu, Zhihao Wu, Jiajun Yu, Jiajun Bu, Haishuai Wang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

Graph neural networks for multi-view learning: a taxonomic review.

Shunxin Xiao, Jiacheng Li, Jielong Lu, Sujia Huang, Bao Zeng, Shiping Wang

Artif. Intell. Rev., November, 2024

Adaptive multi-channel contrastive graph convolutional network with graph and feature fusion.

Luying Zhong, Jielong Lu, Zhaoliang Chen, Na Song, Shiping Wang

Inf. Sci., February, 2024

Generative Essential Graph Convolutional Network for Multi-View Semi-Supervised Classification.

Jielong Lu, Zhihao Wu, Luying Zhong, Zhaoliang Chen, Hong Zhao, Shiping Wang

IEEE Trans. Multim., 2024

Geometric localized graph convolutional network for multi-view semi-supervised classification.

Aiping Huang, Jielong Lu, Zhihao Wu, Zhaoliang Chen, Yuhong Chen, Shiping Wang, Hehong Zhang

Inf. Sci., 2024

Towards Multi-view Consistent Graph Diffusion.

Jielong Lu, Zhihao Wu, Zhaoliang Chen, Zhiling Cai, Shiping Wang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

Multi-level Knowledge Integration with Graph Convolutional Network for Cancer Molecular Subtype Classification.

Sujia Huang, Shunxin Xiao, Wenzhe Liu, Jielong Lu, Zhihao Wu, Shiping Wang, Jagath C. Rajapakse

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023