Information Augmentation for Few-shot Node Classification. - Zongqian Wu; Peng Zhou 006; Guoqiu Wen; Yingying Wan; Junbo Ma; Debo Cheng; Xiaofeng Zhu 001 (IJCAI, 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)

Multiplex Graph Representation Learning via Common and Private Information Mining. - Yujie Mo; Zongqian Wu; Yuhuan Chen; Xiaoshuang Shi; Heng Tao Shen; Xiaofeng Zhu 001 (AAAI, 2023)

Totally Dynamic Hypergraph Neural Networks. - Peng Zhou 006; Zongqian Wu; Xiangxiang Zeng; Guoqiu Wen; Junbo Ma; Xiaofeng Zhu 001 (IJCAI, 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 001 (ACM Multimedia, 2023)

Adaptive Multi-Modality Prompt Learning. - Zongqian Wu; Yujing Liu; Mengmeng Zhan; Jialie Shen 001; Ping Hu 001; Xiaofeng Zhu 001 (CoRR, 2023)

Fast NURBS-based parametric modeling of human calves with high-accuracy for personalized design of graduated compression stockings. - Xi Wang 007; Zongqian Wu; Ying Xiong; Qiao Li; Xiaoming Tao 002 (Comput. Methods Programs Biomed., 2023)

Multi-scale graph classification with shared graph neural network. - Peng Zhou 006; Zongqian Wu; Guoqiu Wen; Kun Tang; Junbo Ma (World Wide Web (WWW), 2023)

Self-Training Based Few-Shot Node Classification by Knowledge Distillation. - Zongqian Wu; Yujie Mo; Peng Zhou 011; Shangbo Yuan; Xiaofeng Zhu 001 (AAAI, 2024)

Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation. - Mengmeng Zhan; Zongqian Wu; Rongyao Hu; Ping Hu 001; Heng Tao Shen; Xiaofeng Zhu 001 (IJCAI, 2024)

Adaptive Multi-Modality Prompt Learning. - Zongqian Wu; Yujing Liu; Mengmeng Zhan; Ping Hu 001; Xiaofeng Zhu 001 (ACM Multimedia, 2024)

Noisy Node Classification by Bi-level Optimization based Multi-teacher Distillation. - Yujing Liu; Zongqian Wu; Zhengyu Lu; Ci Nie; Guoqiu Wen; Ping Hu 001; Xiaofeng Zhu 001 (CoRR, 2024)

Rethinking Chain-of-Thought from the Perspective of Self-Training. - Zongqian Wu; Baoduo Xu; Ruochen Cui; Mengmeng Zhan; Xiaofeng Zhu 001; Lei Feng 006 (CoRR, 2024)

Graph augmentation for node-level few-shot learning. - Zongqian Wu; Peng Zhou 011; Junbo Ma; Jilian Zhang; Guoqin Yuan; Xiaofeng Zhu 001 (Knowl. Based Syst., 2024)

MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning. - Liang Peng; Songyue Cai; Zongqian Wu; Huifang Shang; Xiaofeng Zhu 001; Xiaoxiao Li (Medical Image Anal., 2024)

A noise-resistant graph neural network by semi-supervised contrastive learning. - Zhengyu Lu; Junbo Ma; Zongqian Wu; Bo Zhou; Xiaofeng Zhu 001 (Inf. Sci., 2024)

Noisy Node Classification by Bi-level Optimization Based Multi-Teacher Distillation. - Yujing Liu; Zongqian Wu; Zhengyu Lu; Ci Nie; Guoqiu Wen; Yonghua Zhu; Xiaofeng Zhu 001 (AAAI, 2025)

Cascade-UDA: A Cascade paradigm for unsupervised domain adaptation. - Mengmeng Zhan; Zongqian Wu; Huafu Xu; Xiaofeng Zhu 001; Rongyao Hu (Neurocomputing, 2025)

A pseudo-labeling approach based on knowledge distillation for graph few-shot learning. - Zongqian Wu; Peng Zhou 006; Guoqiu Wen; Xiaofeng Zhu 001 (Inf. Process. Manag., 2025)

Is Depth All You Need? An Exploration of Iterative Reasoning in LLMs. - Zongqian Wu; Tianyu Li; Baoduo Xu; Jiaying Yang; Mengmeng Zhan; Xiaofeng Zhu 001; Lei Feng 006 (CoRR, 2025)

Dual transferable knowledge interaction for source-free domain adaptation. - Mengmeng Zhan; Zongqian Wu; Jiaying Yang; Lin Peng; Jialie Shen 001; Xiaofeng Zhu 001 (Inf. Process. Manag., 2026)