Siying Zhu — accepted AI-conference papers

2026

Decision-Driven Orthogonal Learning with Complementary Feature Mining for Robust Synthetic Image Detection

Kai Li, Wei Wang, Linchao Zhang, Siying Zhu, Wenqi Ren

AAAI 2026technical

The widespread and inconsistent compression applied by Online Social Networks severely degrades the performance of synthetic image detectors. We attribute this degradation to two main issues: 1) the model confuses forgery artifacts with compression artifacts, and 2) compression erodes crucial discri

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2025

Inverse-Free and Data-Driven Motion Tracking Control for Redundant Robot with Fuzzy Recurrent Neural Network

Min Yang, Siying Zhu, Hui Zhang

IROS 2025

Precise motion tracking control with unknown structural knowledge and noise disturbance for redundant robots remains a critical and unresolved challenge. This article proposes a novel data-driven fuzzy discrete recurrent neural network (D<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlin

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