Zonghan Wu - RankMe

31 papers A* 5Journal 19Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	PanFoMa: A Lightweight Foundation Model and Benchmark for Pan-Cancer. AAAI Xiaoshui Huang, Tianlin Zhu, Yifan Zuo, Xue Xia, Zonghan Wu, Jiebin Yan, Dingli Hua, Zongyi Xu, Yuming Fang, Jian Zhang
2025	J	`jnl`	A Comprehensive Survey of Knowledge-Based Vision Question Answering Systems: The Lifecycle of Knowledge in Visual Reasoning Task. CoRR Jiaqi Deng, Zonghan Wu, Huan Huo, Guandong Xu
2025	J	`jnl`	PanFoMa: A Lightweight Foundation Model and Benchmark for Pan-Cancer. CoRR Xiaoshui Huang, Tianlin Zhu, Yifan Zuo, Xue Xia, Zonghan Wu, Jiebin Yan, Dingli Hua, Zongyi Xu, Yuming Fang, Jian Zhang
2025	—	`conf`	Self-generated Cross-Modal Prompt Tuning. ECML/PKDD (3) Guiming Cao, Zonghan Wu, Huan Huo, Yuming Ou, Guandong Xu
2025	J	`jnl`	Towards Competent AI for Fundamental Analysis in Finance: A Benchmark Dataset and Evaluation. CoRR Zonghan Wu, Junlin Wang, Congyuan Zou, Chenhan Wang, Yilei Shao
2025	J	`jnl`	UniRVQA: A Unified Framework for Retrieval-Augmented Vision Question Answering via Self-Reflective Joint Training. CoRR Jiaqi Deng, Kaize Shi, Zonghan Wu, Huan Huo, Dingxian Wang, Guandong Xu
2024	J	`jnl`	ConTIG: Continuous representation learning on temporal interaction graphs. Neural Networks Zihui Wang, Peizhen Yang, Xiaoliang Fan, Xu Yan, Zonghan Wu, Shirui Pan, Longbiao Chen, Yu Zang, Cheng Wang, Rongshan Yu
2024	J	`jnl`	Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting. IEEE Trans. Knowl. Data Eng. Chuanpan Zheng, Xiaoliang Fan, Shirui Pan, Haibing Jin, Zhaopeng Peng, Zonghan Wu, Cheng Wang, Philip S. Yu
2024	J	`jnl`	TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting. IEEE Trans. Neural Networks Learn. Syst. Zonghan Wu, Da Zheng, Shirui Pan, Quan Gan, Guodong Long, George Karypis
2023	J	`jnl`	Beyond Low-Pass Filtering: Graph Convolutional Networks With Automatic Filtering. IEEE Trans. Knowl. Data Eng. Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang
2022	J	`jnl`	Personalized Federated Learning With Structure. CoRR Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou, Jing Jiang
2022	A*	`conf`	Personalized Federated Learning With a Graph. IJCAI Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou, Jing Jiang
2021	J	`jnl`	A Comprehensive Survey on Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, Philip S. Yu
2021	J	`jnl`	Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic Filtering. CoRR Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang
2021	J	`jnl`	ConTIG: Continuous Representation Learning on Temporal Interaction Graphs. CoRR Xu Yan, Xiaoliang Fan, Peizhen Yang, Zonghan Wu, Shirui Pan, Longbiao Chen, Yu Zang, Cheng Wang
2021	—	`conf`	Heterogeneous Graph Attention Network for Small and Medium-Sized Enterprises Bankruptcy Prediction. PAKDD (1) Yizhen Zheng, Vincent C. S. Lee, Zonghan Wu, Shirui Pan
2021	—	`—`	Spatial-Temporal Data Modeling with Graph Neural Networks Zonghan Wu
2021	J	`jnl`	Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting. CoRR Chuanpan Zheng, Xiaoliang Fan, Shirui Pan, Zonghan Wu, Cheng Wang, Philip S. Yu
2021	J	`jnl`	TraverseNet: Unifying Space and Time in Message Passing. CoRR Zonghan Wu, Da Zheng, Shirui Pan, Quan Gan, Guodong Long, George Karypis
2020	J	`jnl`	Cerebrovascular segmentation from TOF-MRA using model- and data-driven method via sparse labels. Neurocomputing Baochang Zhang, Shuting Liu, Shoujun Zhou, Jian Yang, Cheng Wang, Na Li, Zonghan Wu, Jun Xia
2020	A*	`conf`	Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks. KDD Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang
2020	J	`jnl`	Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks. CoRR Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang
2020	J	`jnl`	Statistical modeling and knowledge-based segmentation of cerebral artery based on TOF-MRA and MR-T1. Comput. Methods Programs Biomed. Na Li, Shoujun Zhou, Zonghan Wu, Baochang Zhang, Gang Zhao
2019	J	`jnl`	A Comprehensive Survey on Graph Neural Networks. CoRR Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, Philip S. Yu
2019	—	`conf`	A Device-Independent Novel Statistical Modeling for Cerebral TOF-MRA Data Segmentation. UNSURE/CLIP@MICCAI Baochang Zhang, Zonghan Wu, Shuting Liu, Shoujun Zhou, Na Li, Gang Zhao
2019	A*	`conf`	Graph WaveNet for Deep Spatial-Temporal Graph Modeling. IJCAI Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang
2019	J	`jnl`	Graph WaveNet for Deep Spatial-Temporal Graph Modeling. CoRR Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang
2019	—	`conf`	Segmentation of Arteriovenous Malformation Based on Weighted Breadth-First Search of Vascular Skeleton. MIUA Zonghan Wu, Baochang Zhang, Jun Yang, Na Li, Shoujun Zhou
2019	—	`conf`	Statistical Intensity- and Shape-Modeling to Automate Cerebrovascular Segmentation from TOF-MRA Data. MICCAI (2) Shoujun Zhou, Na Li, Baochang Zhang, Cheng Wang, Zonghan Wu, Jun Yang, Aichi Chien
2017	A*	`conf`	Collaborative Filtering Fusing Label Features Based on SDAE. ICDM Huan Huo, Xiufeng Liu, Deyuan Zheng, Zonghan Wu, Shengwei Yu, Liang Liu
2015	—	`conf`	Anomalous Region Detection on the Mobility Data. CIT/IUCC/DASC/PICom Huan Huo, Shangye Chen, Liang Song, Leiyu Ban, Zonghan Wu, Liang Liu, Liping Gao