Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning. - Zhuoning Guo; Hao Liu 026; Le Zhang 010; Qi Zhang 053; Hengshu Zhu; Hui Xiong 001 (KDD, 2022)

Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax. - Yang Liu 165; Yu Rong 001; Zhuoning Guo; Nuo Chen 001; Tingyang Xu; Fugee Tsung; Jia Li 009 (AAAI, 2023)

Aesthetics++: Refining Graphic Designs by Exploring Design Principles and Human Preference. - Wenyuan Kong; Zhaoyun Jiang; Shizhao Sun; Zhuoning Guo; Weiwei Cui 001; Ting Liu 002; Jianguang Lou; Dongmei Zhang 001 (IEEE Trans. Vis. Comput. Graph., 2023)

A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction. - Wenshuo Chao; Zhaopeng Qiu; Likang Wu; Zhuoning Guo; Zhi Zheng 008; Hengshu Zhu; Hao Liu 026 (AAAI, 2024)

HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning. - Zhuoning Guo; Duanyi Yao; Qiang Yang; Hao Liu 026 (KDD, 2024)

Convergence-aware Clustered Federated Graph Learning Framework for Collaborative Inter-company Labor Market Forecasting. - Zhuoning Guo; Hao Liu 026; Le Zhang 010; Qi Zhang 053; Hengshu Zhu; Hui Xiong 001 (CoRR, 2024)

Against Multifaceted Graph Heterogeneity via Asymmetric Federated Prompt Learning. - Zhuoning Guo; Ruiqian Han; Hao Liu 026 (CoRR, 2024)

Labor Migration Modeling Through Large-Scale Job Query Data. - Zhuoning Guo; Le Zhang 010; Hengshu Zhu; Weijia Zhang 003; Hui Xiong 001; Hao Liu 026 (PAKDD (1), 2025)

GPU-accelerated Multi-relational Parallel Graph Retrieval for Web-scale Recommendations. - Zhuoning Guo; Guangxing Chen; Qian Gao; Xiaochao Liao; Jianjia Zheng; Lu Shen; Hao Liu 026 (CoRR, 2025)