Jiong Zhu

According to our database, Jiong Zhu authored at least 21 papers between 2006 and 2024.

Collaborative distances:

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

2024

Creating in the metaverse: An SSRL-based collaborative painting approach to promote students' creativity, socially shared regulation and positive painting behaviours.

Jueqi Guan, Xiao-Feng Wang, Wen-Zhuo Wang, Jiong Zhu, Gwo-Jen Hwang

J. Comput. Assist. Learn., August, 2024

On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks.

Jiong Zhu, Gaotang Li, Yao-An Yang, Jing Zhu, Xuehao Cui, Danai Koutra

CoRR, 2024

Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training.

Charles Dickens, Edward W. Huang, Aishwarya Reganti, Jiong Zhu, Karthik Subbian, Danai Koutra

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023

Voice broadcast based on 5G sensor in urban fire emergency system application.

Ying Huang, Gang Dong, Zhangyin Liu, Jiong Zhu, Weidong Peng

J. Comput. Methods Sci. Eng., 2023

Heterophily and Graph Neural Networks: Past, Present and Future.

Jiong Zhu, Yujun Yan, Mark Heimann, Lingxiao Zhao, Leman Akoglu, Danai Koutra

IEEE Data Eng. Bull., 2023

Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation.

Jiong Zhu, Aishwarya Reganti, Edward W. Huang, Charles Dickens, Nikhil Rao, Karthik Subbian, Danai Koutra

CoRR, 2023

On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks.

Donald Loveland, Jiong Zhu, Mark Heimann, Benjamin Fish, Michael T. Schaub, Danai Koutra

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

The 3rd Workshop on Graph Learning Benchmarks (GLB 2023).

Jiaqi Ma, Jiong Zhu, Yuxiao Dong, Danai Koutra, Jingrui He, Qiaozhu Mei, Anton Tsitsulin, Xingjian Zhang, Marinka Zitnik

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Syndrome-Aware Herb Recommendation with Heterogeneous Graph Neural Network.

Jiayin Huang, Wenjing Yue, Yiqiao Wang, Jiong Zhu, Liqiang Ni

Proceedings of the Database Systems for Advanced Applications. DASFAA 2023 International Workshops, 2023

2022

On Graph Neural Network Fairness in the Presence of Heterophilous Neighborhoods.

Donald Loveland, Jiong Zhu, Mark Heimann, Benjamin Fish, Michael T. Schaub, Danai Koutra

CoRR, 2022

How does Heterophily Impact the Robustness of Graph Neural Networks?: Theoretical Connections and Practical Implications.

Jiong Zhu, Junchen Jin, Donald Loveland, Michael T. Schaub, Danai Koutra

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

2021

Intraday Variation Mapping of Population Age Structure via Urban-Functional-Region-Based Scaling.

Yuncong Zhao, Yuan Zhang, Hongyan Wang, Xin Du, Qiangzi Li, Jiong Zhu

Remote. Sens., 2021

Improving Robustness of Graph Neural Networks with Heterophily-Inspired Designs.

Jiong Zhu, Junchen Jin, Michael T. Schaub, Danai Koutra

CoRR, 2021

Multi-Model Fusion Short-Term Load Forecasting Based on Random Forest Feature Selection and Hybrid Neural Network.

Yi Xuan, Weiguo Si, Jiong Zhu, Zhiqing Sun, Jian Zhao, Mingjie Xu, Shouliang Xu

IEEE Access, 2021

Graph Neural Networks with Heterophily.

Jiong Zhu, Ryan A. Rossi, Anup Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Generalizing Graph Neural Networks Beyond Homophily.

Jiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu, Danai Koutra

CoRR, 2020

Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs.

Jiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu, Danai Koutra

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Review of classical dimensionality reduction and sample selection methods for large-scale data processing.

Xinzheng Xu, Tianming Liang, Jiong Zhu, Dong Zheng, Tongfeng Sun

Neurocomputing, 2019

GroupINN: Grouping-based Interpretable Neural Network for Classification of Limited, Noisy Brain Data.

Yujun Yan, Jiong Zhu, Marlena Duda, Eric Solarz, Chandra Sekhar Sripada, Danai Koutra

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2010

Intra-Patient Supine-Prone Colon Registration in CT Colonography Using Shape Spectrum.

Zhaoqiang Lai, Jiaxi Hu, Chang Liu, Vahid Taimouri, Darshan Pai, Jiong Zhu, Jianrong Xu, Jing Hua

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

2006

Automatic metadata generation and video editing based on speech and image recognition for medical education contents.

Satoshi Tamura, Koji Hashimoto, Jiong Zhu, Satoru Hayamizu, Hirotsugu Asai, Hideki Tanahashi, Makoto Kanagawa

Proceedings of the Ninth International Conference on Spoken Language Processing, 2006