Anomalous Region Detection on the Mobility Data. - Huan Huo; Shangye Chen; Liang Song; Leiyu Ban; Zonghan Wu; Liang Liu 015; Liping Gao (CIT/IUCC/DASC/PICom, 2015)

Collaborative Filtering Fusing Label Features Based on SDAE. - Huan Huo; Xiufeng Liu; Deyuan Zheng; Zonghan Wu; Shengwei Yu; Liang Liu 015 (ICDM, 2017)

Graph WaveNet for Deep Spatial-Temporal Graph Modeling. - Zonghan Wu; Shirui Pan; Guodong Long; Jing Jiang 002; Chengqi Zhang (IJCAI, 2019)

A Device-Independent Novel Statistical Modeling for Cerebral TOF-MRA Data Segmentation. - Baochang Zhang 003; Zonghan Wu; Shuting Liu; Shoujun Zhou; Na Li; Gang Zhao (UNSURE/CLIP@MICCAI, 2019)

Statistical Intensity- and Shape-Modeling to Automate Cerebrovascular Segmentation from TOF-MRA Data. - Shoujun Zhou; Na Li; Baochang Zhang 003; Cheng Wang; Zonghan Wu; Jun Yang; Aichi Chien (MICCAI (2), 2019)

Segmentation of Arteriovenous Malformation Based on Weighted Breadth-First Search of Vascular Skeleton. - Zonghan Wu; Baochang Zhang 003; Jun Yang; Na Li; Shoujun Zhou (MIUA, 2019)

Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks. - Zonghan Wu; Shirui Pan; Guodong Long; Jing Jiang 002; Xiaojun Chang; Chengqi Zhang (KDD, 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 003; Gang Zhao (Comput. Methods Programs Biomed., 2020)

Cerebrovascular segmentation from TOF-MRA using model- and data-driven method via sparse labels. - Baochang Zhang 003; Shuting Liu; Shoujun Zhou; Jian Yang 009; Cheng Wang; Na Li; Zonghan Wu; Jun Xia 002 (Neurocomputing, 2020)

Heterogeneous Graph Attention Network for Small and Medium-Sized Enterprises Bankruptcy Prediction. - Yizhen Zheng; Vincent C. S. Lee; Zonghan Wu; Shirui Pan (PAKDD (1), 2021)

TraverseNet: Unifying Space and Time in Message Passing. - Zonghan Wu; Da Zheng; Shirui Pan; Quan Gan; Guodong Long; George Karypis (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 003 (CoRR, 2021)

Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting. - Chuanpan Zheng; Xiaoliang Fan; Shirui Pan; Zonghan Wu; Cheng Wang 003; Philip S. Yu (CoRR, 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)

Spatial-Temporal Data Modeling with Graph Neural Networks - Zonghan Wu (2021)

Personalized Federated Learning With a Graph. - Fengwen Chen; Guodong Long; Zonghan Wu; Tianyi Zhou 001; Jing Jiang 002 (IJCAI, 2022)

Personalized Federated Learning With Structure. - Fengwen Chen; Guodong Long; Zonghan Wu; Tianyi Zhou 001; Jing Jiang 002 (CoRR, 2022)

Beyond Low-Pass Filtering: Graph Convolutional Networks With Automatic Filtering. - Zonghan Wu; Shirui Pan; Guodong Long; Jing Jiang 002; Chengqi Zhang (IEEE Trans. Knowl. Data Eng., 2023)

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 003; Rongshan Yu (Neural Networks, 2024)

Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting. - Chuanpan Zheng; Xiaoliang Fan; Shirui Pan; Haibing Jin; Zhaopeng Peng; Zonghan Wu; Cheng Wang 003; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 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., 2024)

UniRVQA: A Unified Framework for Retrieval-Augmented Vision Question Answering via Self-Reflective Joint Training. - Jiaqi Deng; Kaize Shi; Zonghan Wu; Huan Huo; Dingxian Wang; Guandong Xu (CoRR, 2025)

A Comprehensive Survey of Knowledge-Based Vision Question Answering Systems: The Lifecycle of Knowledge in Visual Reasoning Task. - Jiaqi Deng; Zonghan Wu; Huan Huo; Guandong Xu (CoRR, 2025)

Towards Competent AI for Fundamental Analysis in Finance: A Benchmark Dataset and Evaluation. - Zonghan Wu; Junlin Wang; Congyuan Zou; Chenhan Wang; Yilei Shao (CoRR, 2025)