A quantitative analysis of the simplification genetic operator. - Haoxi Zhan (GECCO (Companion), 2014)

I-GCN: Robust Graph Convolutional Network via Influence Mechanism. - Haoxi Zhan; Xiaobing Pei (CoRR, 2020)

FHA: Fast Heuristic Attack Against Graph Convolutional Networks. - Haoxi Zhan; Xiaobing Pei (DS, 2021)

Black-box Gradient Attack on Graph Neural Networks: Deeper Insights in Graph-based Attack and Defense. - Haoxi Zhan; Xiaobing Pei (CoRR, 2021)

Fine-grained Graph Learning for Multi-view Subspace Clustering. - Yidi Wang; Xiaobing Pei; Haoxi Zhan (CoRR, 2022)

Dealing with the unevenness: deeper insights in graph-based attack and defense. - Haoxi Zhan; Xiaobing Pei (Mach. Learn., 2024)

Fine-Grained Graph Learning for Multi-View Subspace Clustering. - Yidi Wang 002; Xiaobing Pei; Haoxi Zhan (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Case-Based Reasoning in Generative Agents: Review and Prospect. - Haoxi Zhan; Youlin Wu; Jian Ding; Bo Xu 009; Liang Yang 003; Hongfei Lin (ICCBR, 2025)

IP2: Entity-Guided Interest Probing for Personalized News Recommendation. - Youlin Wu; Yuanyuan Sun 002; Xiaokun Zhang 001; Haoxi Zhan; Bo Xu 009; Liang Yang 003; Hongfei Lin (CoRR, 2025)