Semantic-Specific Hierarchical Alignment Network for Heterogeneous Graph Adaptation. - Yuanxin Zhuang; Chuan Shi 001; Cheng Yang 002; Fuzhen Zhuang; Yangqiu Song (ECML/PKDD (2), 2021)

Data-Free Adversarial Knowledge Distillation for Graph Neural Networks. - Yuanxin Zhuang; Lingjuan Lyu; Chuan Shi 001; Carl Yang 001; Lichao Sun 001 (IJCAI, 2022)

Unveiling the Secrets without Data: Can Graph Neural Networks Be Exploited through Data-Free Model Extraction Attacks? - Yuanxin Zhuang; Chuan Shi 001; Mengmei Zhang; Jinghui Chen; Lingjuan Lyu; Pan Zhou 001; Lichao Sun 001 (USENIX Security Symposium, 2024)

A Comprehensive Survey on Self-Interpretable Neural Networks. - Yang Ji 004; Ying Sun 006; Yuting Zhang; Zhigaoyuan Wang; Yuanxin Zhuang; Zheng Gong 001; Dazhong Shen; Chuan Qin 002; Hengshu Zhu; Hui Xiong 001 (CoRR, 2025)

MolEditRL: Structure-Preserving Molecular Editing via Discrete Diffusion and Reinforcement Learning. - Yuanxin Zhuang; Dazhong Shen; Ying Sun 006 (CoRR, 2025)

NGTM: Substructure-based Neural Graph Topic Model for Interpretable Graph Generation. - Yuanxin Zhuang; Dazhong Shen; Ying Sun 006 (CoRR, 2025)