Zhiyong Jin — accepted AI-conference papers

2026

Sparsification Under Siege: Dual-Level Defense Against Poisoning in Communication-Efficient Federated Learning

Zhiyong Jin, Runhua Xu, Chao Li, Yizhong Liu, Jianxin Li, James Joshi

IJCAI 2026

Gradient sparsification, while mitigating communication bottlenecks in Federated Learning (FL), fundamentally alters the geometric landscape of model updates. We reveal that the resultant high-dimensional orthogonality renders traditional Euclidean-based robust aggregation metrics mathematically amb

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2024

Towards Disease-Aware Self-Supervised Dynamic Brain Network Learning For Mental Diagnosis

Zhiyong Jin, Guangqi Wen, Peng Cao, Lingwen Liu, Jinzhu Yang, Xinrong Zhu +2

ICASSP 2024accepted

The dynamic brain network learning methods ignored the separation of redundant disease-irrelevant information, resulting in the model only achieving suboptimal diagnosis results. Meanwhile, the supervised learning scheme inevitably suffers from poor generalization due to the limited data. To address…

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