Zhuoning Guo

According to our database, Zhuoning Guo authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Against Multifaceted Graph Heterogeneity via Asymmetric Federated Prompt Learning.

Zhuoning Guo, Ruiqian Han, Hao Liu

CoRR, 2024

Labor Migration Modeling through Large-scale Job Query Data.

Zhuoning Guo, Le Zhang, Hengshu Zhu, Weijia Zhang, Hui Xiong, Hao Liu

CoRR, 2024

Convergence-aware Clustered Federated Graph Learning Framework for Collaborative Inter-company Labor Market Forecasting.

Zhuoning Guo, Hao Liu, Le Zhang, Qi Zhang, Hengshu Zhu, Hui Xiong

CoRR, 2024

HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning.

Zhuoning Guo, Duanyi Yao, Qiang Yang, Hao Liu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction.

Wenshuo Chao, Zhaopeng Qiu, Likang Wu, Zhuoning Guo, Zhi Zheng, Hengshu Zhu, Hao Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Aesthetics++: Refining Graphic Designs by Exploring Design Principles and Human Preference.

Wenyuan Kong, Zhaoyun Jiang, Shizhao Sun, Zhuoning Guo, Weiwei Cui, Ting Liu, Jianguang Lou, Dongmei Zhang

IEEE Trans. Vis. Comput. Graph., June, 2023

Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax.

Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu, Fugee Tsung, Jia Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning.

Zhuoning Guo, Hao Liu, Le Zhang, Qi Zhang, Hengshu Zhu, Hui Xiong

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022