Zonghan Wu

According to our database, Zonghan Wu authored at least 21 papers between 2015 and 2024.

Collaborative distances:

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

2024

TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting.

Zonghan Wu, Da Zheng, Shirui Pan, Quan Gan, Guodong Long, George Karypis

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting.

Chuanpan Zheng, Xiaoliang Fan, Shirui Pan, Haibing Jin, Zhaopeng Peng, Zonghan Wu, Cheng Wang, Philip S. Yu

IEEE Trans. Knowl. Data Eng., January, 2024

ConTIG: Continuous representation learning on temporal interaction graphs.

Zihui Wang, Peizhen Yang, Xiaoliang Fan, Xu Yan, Zonghan Wu, Shirui Pan, Longbiao Chen, Yu Zang, Cheng Wang, Rongshan Yu

Neural Networks, 2024

2023

Beyond Low-Pass Filtering: Graph Convolutional Networks With Automatic Filtering.

Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang

IEEE Trans. Knowl. Data Eng., July, 2023

2022

Personalized Federated Learning With Structure.

Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou, Jing Jiang

CoRR, 2022

Personalized Federated Learning With a Graph.

Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou, Jing Jiang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Spatial-Temporal Data Modeling with Graph Neural Networks

Zonghan Wu

PhD thesis, 2021

A Comprehensive Survey on Graph Neural Networks.

Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, Philip S. Yu

IEEE Trans. Neural Networks Learn. Syst., 2021

Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting.

Chuanpan Zheng, Xiaoliang Fan, Shirui Pan, Zonghan Wu, Cheng Wang, Philip S. Yu

CoRR, 2021

ConTIG: Continuous Representation Learning on Temporal Interaction Graphs.

Xu Yan, Xiaoliang Fan, Peizhen Yang, Zonghan Wu, Shirui Pan, Longbiao Chen, Yu Zang, Cheng Wang

CoRR, 2021

TraverseNet: Unifying Space and Time in Message Passing.

Zonghan Wu, Da Zheng, Shirui Pan, Quan Gan, Guodong Long, George Karypis

CoRR, 2021

Heterogeneous Graph Attention Network for Small and Medium-Sized Enterprises Bankruptcy Prediction.

Yizhen Zheng, Vincent C. S. Lee, Zonghan Wu, Shirui Pan

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

2020

Cerebrovascular segmentation from TOF-MRA using model- and data-driven method via sparse labels.

Baochang Zhang, Shuting Liu, Shoujun Zhou, Jian Yang, Cheng Wang, Na Li, Zonghan Wu, Jun Xia

Neurocomputing, 2020

Statistical modeling and knowledge-based segmentation of cerebral artery based on TOF-MRA and MR-T1.

Na Li, Shoujun Zhou, Zonghan Wu, Baochang Zhang, Gang Zhao

Comput. Methods Programs Biomed., 2020

Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks.

Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Segmentation of Arteriovenous Malformation Based on Weighted Breadth-First Search of Vascular Skeleton.

Zonghan Wu, Baochang Zhang, Jun Yang, Na Li, Shoujun Zhou

Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019

Statistical Intensity- and Shape-Modeling to Automate Cerebrovascular Segmentation from TOF-MRA Data.

Shoujun Zhou, Na Li, Baochang Zhang, Cheng Wang, Zonghan Wu, Jun Yang, Aichi Chien

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

A Device-Independent Novel Statistical Modeling for Cerebral TOF-MRA Data Segmentation.

Baochang Zhang, Zonghan Wu, Shuting Liu, Shoujun Zhou, Na Li, Gang Zhao

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019

Graph WaveNet for Deep Spatial-Temporal Graph Modeling.

Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2017

Collaborative Filtering Fusing Label Features Based on SDAE.

Huan Huo, Xiufeng Liu, Deyuan Zheng, Zonghan Wu, Shengwei Yu, Liang Liu

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2017

2015

Anomalous Region Detection on the Mobility Data.

Huan Huo, Shangye Chen, Liang Song, Leiyu Ban, Zonghan Wu, Liang Liu, Liping Gao

Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015