Kaiyu Feng — accepted AI-conference papers

2026

GenID: A Generalizable Physical-Layer Device Identification Method for Out-of-Distribution Environments

Yawei Zhang, Lanting Fang, Di Yao, Kaiyu Feng, Shuliang Wang

IJCAI 2026

Physical-layer device identification serves as a critical security mechanism for mitigating cyberattacks and enhancing network resilience. However, its deployment in modern full-duplex Ethernet networks faces two major challenges: (1) the presence of Out-of-Distribution (OOD) data caused by temporal

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2026

Invariant Graph Representations for Continuous-Time Dynamic Graphs Under Distribution Shifts

Lanting Fang, Yulian Yang, Yawei Zhang, Shanshan Feng, Kaiyu Feng, Hanning Yuan

IJCAI 2026

Continuous-Time Dynamic Graphs (CTDGs) enable fine-grained modeling of evolving relational systems. However, most existing CTDG representation learning methods are tailored to in-distribution settings and exhibit limited robustness under out-of-distribution (OOD) shifts. Although recent causal appro

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