*Information Sciences.* Developed a Higher-order Augmented Random Walk (HoRW) model to identify influencers, enabling multi-scale analysis according to the strength of higher-order effects.
*Communications Physics*. Proposed an entanglement-based metric - vertex entanglement (VE) - quantifying local perturbations on spectral entropy, with superior applications in network dismantling and brain network analysis.
Developed a cooperative network learning (CNL) framework using technologies like homomorphic encryption, enabling decentralized, multi-party trusted, and privacy-preserving graph learning.
*AAAI24*. Introduced a novel higher-order representation, the flower-petals (FP) model, and higher-order graph convolutional network (HiGCN), which achieves SOTA in various tasks and quantifies higher-order strength.
We proposed a novel coherence-based quantum steganalysis protocol to detect quantum steganography by comparing detected and theoretical distributions.