Jianjian Jiang

According to our database, Jianjian Jiang authored at least 15 papers between 2020 and 2025.

Collaborative distances:

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

2025

MHGCL: Combining Motif and Homogeneity in graph contrastive learning.

Chunying Li, Yanxi Guo, Zhikang Tang, Wenbo Li, Yang Chen, Jinli Cao, Yanchun Zhang, Jianjian Jiang

World Wide Web (WWW), August, 2025

Multi-granularity hypergraph-guided transformer learning framework for visual classification.

Jianjian Jiang, Ziwei Chen, Fangyuan Lei, Long Xu, Jiahao Huang, Xiaochen Yuan

Vis. Comput., March, 2025

Stacked and decorrelated hashing with AdapTanh for large-scale fine-grained image retrieval.

Xianxian Zeng, Jie Zhou, Canqing Ye, Jun Yuan, Jiawen Li, Jianjian Jiang, Rongjun Chen, Shun Liu

Signal Process. Image Commun., 2025

Dual-channel hypergraph networks in the time-frequency domain for learning advanced spatiotemporal dependencies in multivariate time series.

Ziwei Chen, Jianjian Jiang, Xiangmin Luo, Fangyuan Lei, Xiaochen Yuan, Jin Zhan

Neurocomputing, 2025

A novel Mamba-hypergraph enhanced time-frequency fusion network for multivariate time series classification.

Jianjian Jiang, Chuxin Zhuang, Fangyan Lei, Ziwei Chen, Lintao Xiao, Minjing Liang, Jianfeng Peng

Complex Intell. Syst., 2025

2024

Unveiling the potential of long-range dependence with mask-guided structure learning for hypergraph.

Fangyuan Lei, Jiahao Huang, Jianjian Jiang, Da Huang, Zhengming Li, Chang-Dong Wang

Knowl. Based Syst., 2024

AHFormer: Hypergraph embedding coding transformer and adaptive aggregation network for intelligent fault diagnosis under noise interference.

Fangyuan Lei, Ziwei Chen, Xiangmin Luo, Long Xu, Te Xue, Jianjian Jiang

Adv. Eng. Informatics, 2024

PTMA: Pre-trained Model Adaptation for Transfer Learning.

Xiao Li, Junkai Yan, Jianjian Jiang, Wei-Shi Zheng

Proceedings of the Knowledge Science, Engineering and Management, 2024

DA-NAS: Learning Transferable Architecture for Unsupervised Domain Adaptation.

Xiao Li, Gaojie Wu, Jianjian Jiang, Wei-Shi Zheng

Proceedings of the Knowledge Science, Engineering and Management, 2024

2023

Multiple kernel-based anchor graph coupled low-rank tensor learning for incomplete multi-view clustering.

Senhong Wang, Jiangzhong Cao, Fangyuan Lei, Jianjian Jiang, Qingyun Dai, Bingo Wing-Kuen Ling

Appl. Intell., February, 2023

Multi-order hypergraph convolutional networks integrated with self-supervised learning.

Jiahao Huang, Fangyuan Lei, Jianjian Jiang, Xi Zeng, Ruijun Ma, Qingyun Dai

Complex Intell. Syst., 2023

2022

Smiley Theorem for Spectral Operators Whose Radical Part Is Locally Nilpotent.

Jianjian Jiang, Xiao Chen, Xiaolin Li

Symmetry, 2022

Graph convolutional networks with higher-order pooling for semisupervised node classification.

Fangyuan Lei, Xun Liu, Jianjian Jiang, Liping Liao, Jun Cai, Huimin Zhao

Concurr. Comput. Pract. Exp., 2022

2021

PatentNet: A Large-Scale Incomplete Multiview, Multimodal, Multilabel Industrial Goods Image Database.

Fangyuan Lei, Da Huang, Jianjian Jiang, Ruijun Ma, Senhong Wang, Jiangzhong Cao, Yusen Lin, Qingyun Dai

CoRR, 2021

2020

Graph Pooling in Graph Neural Networks with Node Feature Correlation.

Jianjian Jiang, Fangyuan Lei, Qingyun Dai, Zhengmin Li

Proceedings of the 3rd International Conference on Data Science and Information Technology, 2020