Jiong Zhu

31 papers A* 6A 2Journal 18Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Estimation of sugarcane biomass from Sentinel-2 leaf area index using an improved SAFY model (SAFY-Sugar).
Int. J. Appl. Earth Obs. Geoinformation
Jingyuan Xu, Xin Du, Taifeng Dong, Qiangzi Li, Yuan Zhang, Hongyan Wang, Miao Liu, Jiong Zhu, Jian Yang
2025 A conf
Learning Laplacian Positional Encodings for Heterophilous Graphs.
AISTATS
Michael Ito, Jiong Zhu, Dexiong Chen, Danai Koutra, Jenna Wiens
2025 J jnl
Learning Laplacian Positional Encodings for Heterophilous Graphs.
CoRR
Michael Ito, Jiong Zhu, Dexiong Chen, Danai Koutra, Jenna Wiens
2025 J jnl
Remote sensing-based winter wheat yield estimation integrating machine learning and crop growth multi-scenario simulations.
Int. J. Digit. Earth
Xin Du, Jiong Zhu, Jingyuan Xu, Qiangzi Li, Zui Tao, Yuan Zhang, Hongyan Wang, Haoxuan Hu
2025 J jnl
Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation.
ACM Trans. Knowl. Discov. Data
Jiong Zhu, Aishwarya Reganti, Edward W. Huang, Charles Dickens, Nikhil Rao, Karthik Subbian, Danai Koutra
2024 — —
Advancing Graph Neural Networks for Complex Data: A Perspective Beyond Homophily
Jiong Zhu
2024 J jnl
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.
Jueqi Guan, Xiao-Feng Wang, Wen-Zhuo Wang, Jiong Zhu, Gwo-Jen Hwang
2024 — conf
Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training.
WWW (Companion Volume)
Charles Dickens, Edward W. Huang, Aishwarya Reganti, Jiong Zhu, Karthik Subbian, Danai Koutra
2024 A* conf
On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks.
NeurIPS
Jiong Zhu, Gaotang Li, Yao-An Yang, Jing Zhu, Xuehao Cui, Danai Koutra
2024 J jnl
On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks.
CoRR
Jiong Zhu, Gaotang Li, Yao-An Yang, Jing Zhu, Xuehao Cui, Danai Koutra
2023 J jnl
Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training.
CoRR
Charles Dickens, Eddie W. Huang, Aishwarya Reganti, Jiong Zhu, Karthik Subbian, Danai Koutra
2023 J jnl
Heterophily and Graph Neural Networks: Past, Present and Future.
IEEE Data Eng. Bull.
Jiong Zhu, Yujun Yan, Mark Heimann, Lingxiao Zhao, Leman Akoglu, Danai Koutra
2023 — conf
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks.
LoG
Donald Loveland, Jiong Zhu, Mark Heimann, Benjamin Fish, Michael T. Schaub, Danai Koutra
2023 J jnl
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks.
CoRR
Donald Loveland, Jiong Zhu, Mark Heimann, Benjamin Fish, Michael T. Schaub, Danai Koutra
2023 J jnl
Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation.
CoRR
Jiong Zhu, Aishwarya Reganti, Edward W. Huang, Charles Dickens, Nikhil Rao, Karthik Subbian, Danai Koutra
2023 — conf
Syndrome-Aware Herb Recommendation with Heterogeneous Graph Neural Network.
DASFAA (Workshops)
Jiayin Huang, Wenjing Yue, Yiqiao Wang, Jiong Zhu, Liqiang Ni
2023 A* conf
The 3rd Workshop on Graph Learning Benchmarks (GLB 2023).
KDD
Jiaqi Ma, Jiong Zhu, Yuxiao Dong, Danai Koutra, Jingrui He, Qiaozhu Mei, Anton Tsitsulin, Xingjian Zhang, Marinka Zitnik
2023 J jnl
Voice broadcast based on 5G sensor in urban fire emergency system application.
J. Comput. Methods Sci. Eng.
Ying Huang, Gang Dong, Zhangyin Liu, Jiong Zhu, Weidong Peng
2022 A* conf
How does Heterophily Impact the Robustness of Graph Neural Networks?: Theoretical Connections and Practical Implications.
KDD
Jiong Zhu, Junchen Jin, Donald Loveland, Michael T. Schaub, Danai Koutra
2022 J jnl
On Graph Neural Network Fairness in the Presence of Heterophilous Neighborhoods.
CoRR
Donald Loveland, Jiong Zhu, Mark Heimann, Benjamin Fish, Michael T. Schaub, Danai Koutra
2021 A* conf
Graph Neural Networks with Heterophily.
AAAI
Jiong Zhu, Ryan A. Rossi, Anup Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra
2021 J jnl
Improving Robustness of Graph Neural Networks with Heterophily-Inspired Designs.
CoRR
Jiong Zhu, Junchen Jin, Michael T. Schaub, Danai Koutra
2021 J jnl
Intraday Variation Mapping of Population Age Structure via Urban-Functional-Region-Based Scaling.
Remote. Sens.
Yuncong Zhao, Yuan Zhang, Hongyan Wang, Xin Du, Qiangzi Li, Jiong Zhu
2021 J jnl
Multi-Model Fusion Short-Term Load Forecasting Based on Random Forest Feature Selection and Hybrid Neural Network.
IEEE Access
Yi Xuan, Weiguo Si, Jiong Zhu, Zhiqing Sun, Jian Zhao, Mingjie Xu, Shouliang Xu
2020 A* conf
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs.
NeurIPS
Jiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu, Danai Koutra
2020 J jnl
Generalizing Graph Neural Networks Beyond Homophily.
CoRR
Jiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu, Danai Koutra
2020 J jnl
Graph Neural Networks with Heterophily.
CoRR
Jiong Zhu, Ryan A. Rossi, Anup B. Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra
2019 A* conf
GroupINN: Grouping-based Interpretable Neural Network for Classification of Limited, Noisy Brain Data.
KDD
Yujun Yan, Jiong Zhu, Marlena Duda, Eric Solarz, Chandra Sekhar Sripada, Danai Koutra
2019 J jnl
Review of classical dimensionality reduction and sample selection methods for large-scale data processing.
Neurocomputing
Xinzheng Xu, Tianming Liang, Jiong Zhu, Dong Zheng, Tongfeng Sun
2010 — conf
Intra-Patient Supine-Prone Colon Registration in CT Colonography Using Shape Spectrum.
MICCAI (1)
Zhaoqiang Lai, Jiaxi Hu, Chang Liu, Vahid Taimouri, Darshan Pai, Jiong Zhu, Jianrong Xu, Jing Hua
2006 A conf
Automatic metadata generation and video editing based on speech and image recognition for medical education contents.
INTERSPEECH
Satoshi Tamura, Koji Hashimoto, Jiong Zhu, Satoru Hayamizu, Hirotsugu Asai, Hideki Tanahashi, Makoto Kanagawa