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ORCIDZongqian Wu
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2020 – today
- 2026
[j10]Zongqian Wu, Mengmeng Zhan, Ping Hu, Zhengxia Wang, Xiaofeng Zhu:
Decoupled prompt learning guided by chain-of-task. Inf. Fusion 127: 103798 (2026)- [j9]Mengmeng Zhan
, Zongqian Wu, Jiaying Yang, Lin Peng, Jialie Shen, Xiaofeng Zhu:
Dual transferable knowledge interaction for source-free domain adaptation. Inf. Process. Manag. 63(1): 104302 (2026) - 2025
- [j8]Mengmeng Zhan, Zongqian Wu, Huafu Xu, Xiaofeng Zhu, Rongyao Hu:
Cascade-UDA: A Cascade paradigm for unsupervised domain adaptation. Neurocomputing 636: 129924 (2025) - [j7]Zongqian Wu, Peng Zhou, Guoqiu Wen, Xiaofeng Zhu:
A pseudo-labeling approach based on knowledge distillation for graph few-shot learning. Inf. Process. Manag. 62(6): 104268 (2025) - [c9]Yujing Liu, Zongqian Wu, Zhengyu Lu, Ci Nie, Guoqiu Wen, Yonghua Zhu, Xiaofeng Zhu:
Noisy Node Classification by Bi-level Optimization Based Multi-Teacher Distillation. AAAI 2025: 19033-19040 - [c8]Zongqian Wu, Baoduo Xu, Ruochen Cui, Mengmeng Zhan, Xiaofeng Zhu, Lei Feng:
Rethinking Chain-of-Thought from the Perspective of Self-Training. ICML 2025 - [i7]Zongqian Wu, Tianyu Li, Baoduo Xu, Jiaying Yang, Mengmeng Zhan, Xiaofeng Zhu, Lei Feng:
Is Depth All You Need? An Exploration of Iterative Reasoning in LLMs. CoRR abs/2502.10858 (2025) - [i6]Zongqian Wu, Baoduo Xu, Tianyu Li, Zhu Sun, Xiaofeng Zhu, Lei Feng:
Mitigating Strategy-Selection Bias in Reasoning for More Effective Test-Time Scaling. CoRR abs/2509.17905 (2025) - [i5]Songyue Cai, Zongqian Wu, Yujie Mo, Liang Peng, Ping Hu, Xiaoshuang Shi, Xiaofeng Zhu:
Background Prompt for Few-Shot Out-of-Distribution Detection. CoRR abs/2509.21055 (2025) - 2024
- [j6]Zhengyu Lu, Junbo Ma, Zongqian Wu, Bo Zhou, Xiaofeng Zhu:
A noise-resistant graph neural network by semi-supervised contrastive learning. Inf. Sci. 658: 120001 (2024) - [j5]Zongqian Wu, Peng Zhou, Junbo Ma, Jilian Zhang, Guoqin Yuan, Xiaofeng Zhu:
Graph augmentation for node-level few-shot learning. Knowl. Based Syst. 297: 111872 (2024) - [j4]Liang Peng, Songyue Cai, Zongqian Wu, Huifang Shang, Xiaofeng Zhu, Xiaoxiao Li:
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning. Medical Image Anal. 97: 103225 (2024) - [c7]Zongqian Wu, Yujie Mo, Peng Zhou, Shangbo Yuan, Xiaofeng Zhu:
Self-Training Based Few-Shot Node Classification by Knowledge Distillation. AAAI 2024: 15988-15995 - [c6]Mengmeng Zhan, Zongqian Wu, Rongyao Hu, Ping Hu, Heng Tao Shen, Xiaofeng Zhu:
Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation. IJCAI 2024: 1643-1651 - [c5]Zongqian Wu, Yujing Liu, Mengmeng Zhan, Ping Hu, Xiaofeng Zhu:
Adaptive Multi-Modality Prompt Learning. ACM Multimedia 2024: 8672-8680 - [i4]Yujing Liu, Zongqian Wu, Zhengyu Lu, Ci Nie, Guoqiu Wen, Ping Hu, Xiaofeng Zhu:
Noisy Node Classification by Bi-level Optimization based Multi-teacher Distillation. CoRR abs/2404.17875 (2024) - [i3]Zongqian Wu, Baoduo Xu, Ruochen Cui, Mengmeng Zhan, Xiaofeng Zhu, Lei Feng:
Rethinking Chain-of-Thought from the Perspective of Self-Training. CoRR abs/2412.10827 (2024) - 2023
- [j3]Xi Wang, Zongqian Wu, Ying Xiong, Qiao Li, Xiaoming Tao:
Fast NURBS-based parametric modeling of human calves with high-accuracy for personalized design of graduated compression stockings. Comput. Methods Programs Biomed. 229: 107292 (2023) - [j2]Peng Zhou, Zongqian Wu, Guoqiu Wen, Kun Tang, Junbo Ma:
Multi-scale graph classification with shared graph neural network. World Wide Web (WWW) 26(3): 949-966 (2023) - [c4]Yujie Mo, Zongqian Wu, Yuhuan Chen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu:
Multiplex Graph Representation Learning via Common and Private Information Mining. AAAI 2023: 9217-9225 - [c3]Peng Zhou, Zongqian Wu, Xiangxiang Zeng, Guoqiu Wen, Junbo Ma, Xiaofeng Zhu:
Totally Dynamic Hypergraph Neural Networks. IJCAI 2023: 2476-2483 - [c2]Yujing Liu, Zongqian Wu, Zhengyu Lu, Guoqiu Wen, Junbo Ma, Guangquan Lu, Xiaofeng Zhu:
Multi-teacher Self-training for Semi-supervised Node Classification with Noisy Labels. ACM Multimedia 2023: 2946-2954 - [i2]Zongqian Wu, Yujing Liu, Mengmeng Zhan, Jialie Shen, Ping Hu, Xiaofeng Zhu:
Adaptive Multi-Modality Prompt Learning. CoRR abs/2312.00823 (2023) - [i1]Liang Peng, Songyue Cai, Zongqian Wu, Huifang Shang, Xiaofeng Zhu, Xiaoxiao Li:
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning. CoRR abs/2312.14574 (2023) - 2022
- [j1]Zongqian Wu, Mengmeng Zhan, Haiqi Zhang, Qimin Luo, Kun Tang:
MTGCN: A multi-task approach for node classification and link prediction in graph data. Inf. Process. Manag. 59(3): 102902 (2022) - [c1]Zongqian Wu, Peng Zhou, Guoqiu Wen, Yingying Wan, Junbo Ma, Debo Cheng, Xiaofeng Zhu:
Information Augmentation for Few-shot Node Classification. IJCAI 2022: 3601-3607
Coauthor Index
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