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The last 5 uploaded publications
Amer: A New Attribute-Missing Network Embedding Approach
Di Jin, Rui Wang, Tao Wang, Dongxiao He, Weiping Ding, Yuxiao Huang, Longbiao Wang, Witold Pedrycz (2022). Amer: A New Attribute-Missing Network Embedding Approach. , 53(7), DOI: https://doi.org/10.1109/tcyb.2022.3166539.
Article132 days agoHeterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning
Cuiying Huo, Dongxiao He, Yawen Li, Di Jin, Jianwu Dang, Witold Pedrycz, Lingfei Wu, Weixiong Zhang (2024). Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning. , 16(1), DOI: https://doi.org/10.1145/3706115.
Article132 days agoDistill & Contrast: A New Graph Self-Supervised Method With Approximating Nature Data Relationships
Dongxiao He, Jitao Zhao, Ke Liu, Zhiyong Feng, Cuiying Huo, Di Jin, Witold Pedrycz, Weixiong Zhang (2025). Distill & Contrast: A New Graph Self-Supervised Method With Approximating Nature Data Relationships. , 37(6), DOI: https://doi.org/10.1109/tkde.2025.3554524.
Article132 days agoUnveiling Fine-grained Deceptive Patterns in Multi-modal Fake News: An Explainable Neuro-Symbolic Framework with LVLMs
Dongxiao He, Yiqi Dong, Xiaobao Wang, Meng Ge, Carl Yang, Di Jin, Witold Pedrycz (2025). Unveiling Fine-grained Deceptive Patterns in Multi-modal Fake News: An Explainable Neuro-Symbolic Framework with LVLMs. , PP, DOI: https://doi.org/10.1109/tpami.2025.3642831.
Article72 days ago