Jiong Zhu

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 21

Top Topics

Data Processing

Graph Representation

Dimensionality Reduction

Top Venues

DASFAA (Workshops)

J. Comput. Assist. Learn.

Publications

Jueqi Guan, Xiao-Feng Wang, Wen-Zhuo Wang, Jiong Zhu, Gwo-Jen Hwang
Creating in the metaverse: An SSRL-based collaborative painting approach to promote students' creativity, socially shared regulation and positive painting behaviours. J. Comput. Assist. Learn. 40 (4) (2024)
Charles Dickens, Edward W. Huang, Aishwarya Reganti, Jiong Zhu, Karthik Subbian, Danai Koutra
Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training. WWW (Companion Volume) (2024)
Jiong Zhu, Aishwarya Reganti, Edward W. Huang, Charles Dickens, Nikhil Rao, Karthik Subbian, Danai Koutra
Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation. CoRR (2023)
Donald Loveland, Jiong Zhu, Mark Heimann, Benjamin Fish, Michael T. Schaub, Danai Koutra
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks. CoRR (2023)
Jiong Zhu, Yujun Yan, Mark Heimann, Lingxiao Zhao, Leman Akoglu, Danai Koutra
Heterophily and Graph Neural Networks: Past, Present and Future. IEEE Data Eng. Bull. 46 (2) (2023)
Jiaqi Ma, Jiong Zhu, Yuxiao Dong, Danai Koutra, Jingrui He, Qiaozhu Mei, Anton Tsitsulin, Xingjian Zhang, Marinka Zitnik
The 3rd Workshop on Graph Learning Benchmarks (GLB 2023). KDD (2023)
Donald Loveland, Jiong Zhu, Mark Heimann, Benjamin Fish, Michael T. Schaub, Danai Koutra
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks. LoG (2023)
Charles Dickens, Eddie W. Huang, Aishwarya Reganti, Jiong Zhu, Karthik Subbian, Danai Koutra
Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training. CoRR (2023)
Jiayin Huang, Wenjing Yue, Yiqiao Wang, Jiong Zhu, Liqiang Ni
Syndrome-Aware Herb Recommendation with Heterogeneous Graph Neural Network. DASFAA (Workshops) (2023)
Ying Huang, Gang Dong, Zhangyin Liu, Jiong Zhu, Weidong Peng
Voice broadcast based on 5G sensor in urban fire emergency system application. J. Comput. Methods Sci. Eng. 23 (3) (2023)
Donald Loveland, Jiong Zhu, Mark Heimann, Ben Fish, Michael T. Schaub, Danai Koutra
On Graph Neural Network Fairness in the Presence of Heterophilous Neighborhoods. CoRR (2022)
Jiong Zhu, Junchen Jin, Donald Loveland, Michael T. Schaub, Danai Koutra
How does Heterophily Impact the Robustness of Graph Neural Networks?: Theoretical Connections and Practical Implications. KDD (2022)
Jiong Zhu, Junchen Jin, Michael T. Schaub, Danai Koutra
Improving Robustness of Graph Neural Networks with Heterophily-Inspired Designs. CoRR (2021)
Yi Xuan, Weiguo Si, Jiong Zhu, Zhiqing Sun, Jian Zhao, Mingjie Xu, Shouliang Xu
Multi-Model Fusion Short-Term Load Forecasting Based on Random Forest Feature Selection and Hybrid Neural Network. IEEE Access 9 (2021)
Yuncong Zhao, Yuan Zhang, Hongyan Wang, Xin Du, Qiangzi Li, Jiong Zhu
Intraday Variation Mapping of Population Age Structure via Urban-Functional-Region-Based Scaling. Remote. Sens. 13 (4) (2021)
Jiong Zhu, Ryan A. Rossi, Anup Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra
Graph Neural Networks with Heterophily. AAAI (2021)
Jiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu, Danai Koutra
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs. NeurIPS (2020)
Jiong Zhu, Ryan A. Rossi, Anup B. Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra
Graph Neural Networks with Heterophily. CoRR (2020)
Jiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu, Danai Koutra
Generalizing Graph Neural Networks Beyond Homophily. CoRR (2020)
Yujun Yan, Jiong Zhu, Marlena Duda, Eric Solarz, Chandra Sekhar Sripada, Danai Koutra
GroupINN: Grouping-based Interpretable Neural Network for Classification of Limited, Noisy Brain Data. KDD (2019)
Xinzheng Xu, Tianming Liang, Jiong Zhu, Dong Zheng, Tongfeng Sun
Review of classical dimensionality reduction and sample selection methods for large-scale data processing. Neurocomputing 328 (2019)
Zhaoqiang Lai, Jiaxi Hu, Chang Liu, Vahid Taimouri, Darshan Pai, Jiong Zhu, Jianrong Xu, Jing Hua
Intra-Patient Supine-Prone Colon Registration in CT Colonography Using Shape Spectrum. MICCAI (1) (2010)
Satoshi Tamura, Koji Hashimoto, Jiong Zhu, Satoru Hayamizu, Hirotsugu Asai, Hideki Tanahashi, Makoto Kanagawa
Automatic metadata generation and video editing based on speech and image recognition for medical education contents. INTERSPEECH (2006)