Graph Pooling in Graph Neural Networks with Node Feature Correlation. - Jianjian Jiang; Fangyuan Lei; Qingyun Dai; Zhengmin Li (DSIT, 2020)

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)

Graph convolutional networks with higher-order pooling for semisupervised node classification. - Fangyuan Lei; Xun Liu; Jianjian Jiang; Liping Liao; Jun Cai 002; Huimin Zhao 001 (Concurr. Comput. Pract. Exp., 2022)

Smiley Theorem for Spectral Operators Whose Radical Part Is Locally Nilpotent. - Jianjian Jiang; Xiao Chen; Xiaolin Li (Symmetry, 2022)

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., 2023)

DA-NAS: Learning Transferable Architecture for Unsupervised Domain Adaptation. - Xiao Li; Gaojie Wu; Jianjian Jiang; Wei-Shi Zheng 001 (KSEM (3), 2024)

PTMA: Pre-trained Model Adaptation for Transfer Learning. - Xiao Li; Junkai Yan; Jianjian Jiang; Wei-Shi Zheng 001 (KSEM (1), 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)

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 001 (Knowl. Based Syst., 2024)

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)

Stacked and decorrelated hashing with AdapTanh for large-scale fine-grained image retrieval. - Xianxian Zeng; Jie Zhou; Canqing Ye; Jun Yuan; Jiawen Li 001; Jianjian Jiang; Rongjun Chen; Shun Liu (Signal Process. Image Commun., 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., 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), 2025)