Zongqian Wu

According to our database, Zongqian Wu authored at least 15 papers between 2022 and 2024.

Collaborative distances:

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

2024

A noise-resistant graph neural network by semi-supervised contrastive learning.

Zhengyu Lu, Junbo Ma, Zongqian Wu, Bo Zhou, Xiaofeng Zhu

Inf. Sci., February, 2024

MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning.

Liang Peng, Songyue Cai, Zongqian Wu, Huifang Shang, Xiaofeng Zhu, Xiaoxiao Li

Medical Image Anal., 2024

Graph augmentation for node-level few-shot learning.

Zongqian Wu, Peng Zhou, Junbo Ma, Jilian Zhang, Guoqin Yuan, Xiaofeng Zhu

Knowl. Based Syst., 2024

Noisy Node Classification by Bi-level Optimization based Multi-teacher Distillation.

Yujing Liu, Zongqian Wu, Zhengyu Lu, Ci Nie, Guoqiu Wen, Ping Hu, Xiaofeng Zhu

CoRR, 2024

Adaptive Multi-Modality Prompt Learning.

Zongqian Wu, Yujing Liu, Mengmeng Zhan, Ping Hu, Xiaofeng Zhu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation.

Mengmeng Zhan, Zongqian Wu, Rongyao Hu, Ping Hu, Heng Tao Shen, Xiaofeng Zhu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Self-Training Based Few-Shot Node Classification by Knowledge Distillation.

Zongqian Wu, Yujie Mo, Peng Zhou, Shangbo Yuan, Xiaofeng Zhu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Multi-scale graph classification with shared graph neural network.

Peng Zhou, Zongqian Wu, Guoqiu Wen, Kun Tang, Junbo Ma

World Wide Web (WWW), May, 2023

Fast NURBS-based parametric modeling of human calves with high-accuracy for personalized design of graduated compression stockings.

Xi Wang, Zongqian Wu, Ying Xiong, Qiao Li, Xiaoming Tao

Comput. Methods Programs Biomed., February, 2023

Adaptive Multi-Modality Prompt Learning.

Zongqian Wu, Yujing Liu, Mengmeng Zhan, Jialie Shen, Ping Hu, Xiaofeng Zhu

CoRR, 2023

Multi-teacher Self-training for Semi-supervised Node Classification with Noisy Labels.

Yujing Liu, Zongqian Wu, Zhengyu Lu, Guoqiu Wen, Junbo Ma, Guangquan Lu, Xiaofeng Zhu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Totally Dynamic Hypergraph Neural Networks.

Peng Zhou, Zongqian Wu, Xiangxiang Zeng, Guoqiu Wen, Junbo Ma, Xiaofeng Zhu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Multiplex Graph Representation Learning via Common and Private Information Mining.

Yujie Mo, Zongqian Wu, Yuhuan Chen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

MTGCN: A multi-task approach for node classification and link prediction in graph data.

Zongqian Wu, Mengmeng Zhan, Haiqi Zhang, Qimin Luo, Kun Tang

Inf. Process. Manag., 2022

Information Augmentation for Few-shot Node Classification.

Zongqian Wu, Peng Zhou, Guoqiu Wen, Yingying Wan, Junbo Ma, Debo Cheng, Xiaofeng Zhu

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