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 (INTERSPEECH, 2006)

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 001 (MICCAI (1), 2010)

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 (KDD, 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)

Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs. - Jiong Zhu; Yujun Yan; Lingxiao Zhao; Mark Heimann; Leman Akoglu; Danai Koutra (NeurIPS, 2020)

Generalizing Graph Neural Networks Beyond Homophily. - Jiong Zhu; Yujun Yan; Lingxiao Zhao; Mark Heimann; Leman Akoglu; Danai Koutra (CoRR, 2020)

Graph Neural Networks with Heterophily. - Jiong Zhu; Ryan A. Rossi; Anup Rao 002; Tung Mai; Nedim Lipka; Nesreen K. Ahmed; Danai Koutra (AAAI, 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 023; Mingjie Xu; Shouliang Xu (IEEE Access, 2021)

Improving Robustness of Graph Neural Networks with Heterophily-Inspired Designs. - Jiong Zhu; Junchen Jin; Michael T. Schaub; Danai Koutra (CoRR, 2021)

Intraday Variation Mapping of Population Age Structure via Urban-Functional-Region-Based Scaling. - Yuncong Zhao; Yuan Zhang 010; Hongyan Wang; Xin Du 004; Qiangzi Li; Jiong Zhu (Remote. Sens., 2021)

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 (KDD, 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)

Syndrome-Aware Herb Recommendation with Heterogeneous Graph Neural Network. - Jiayin Huang; Wenjing Yue; Yiqiao Wang 004; Jiong Zhu; Liqiang Ni (DASFAA (Workshops), 2023)

The 3rd Workshop on Graph Learning Benchmarks (GLB 2023). - Jiaqi Ma 001; Jiong Zhu; Yuxiao Dong; Danai Koutra; Jingrui He; Qiaozhu Mei; Anton Tsitsulin; Xingjian Zhang 002; Marinka Zitnik (KDD, 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 (LoG, 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)

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)

On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks. - Jiong Zhu; Gaotang Li; Yao-An Yang; Jing Zhu 005; Xuehao Cui; Danai Koutra (NeurIPS, 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 (WWW (Companion Volume), 2024)

Advancing Graph Neural Networks for Complex Data: A Perspective Beyond Homophily - Jiong Zhu (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., 2024)

Learning Laplacian Positional Encodings for Heterophilous Graphs. - Michael Ito; Jiong Zhu; Dexiong Chen; Danai Koutra; Jenna Wiens (AISTATS, 2025)

Estimation of sugarcane biomass from Sentinel-2 leaf area index using an improved SAFY model (SAFY-Sugar). - Jingyuan Xu; Xin Du 004; Taifeng Dong; Qiangzi Li; Yuan Zhang 010; Hongyan Wang; Miao Liu; Jiong Zhu; Jian Yang (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation. - Jiong Zhu; Aishwarya Reganti; Edward W. Huang; Charles Dickens; Nikhil Rao 001; Karthik Subbian; Danai Koutra (ACM Trans. Knowl. Discov. Data, 2025)