Zongqian Wu - RankMe

28 papers A* 9Journal 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Decoupled prompt learning guided by chain-of-task. Inf. Fusion Zongqian Wu, Mengmeng Zhan, Ping Hu, Zhengxia Wang, Xiaofeng Zhu
2026	J	`jnl`	Dual transferable knowledge interaction for source-free domain adaptation. Inf. Process. Manag. Mengmeng Zhan, Zongqian Wu, Jiaying Yang, Lin Peng, Jialie Shen, Xiaofeng Zhu
2026	J	`jnl`	Enhancing Few-Shot Out-of-Distribution Detection via the Refinement of Foreground and Background. CoRR Tianyu Li, Songyue Cai, Zongqian Wu, Ping Hu, Xiaofeng Zhu
2025	J	`jnl`	A pseudo-labeling approach based on knowledge distillation for graph few-shot learning. Inf. Process. Manag. Zongqian Wu, Peng Zhou, Guoqiu Wen, Xiaofeng Zhu
2025	J	`jnl`	An end-to-end deep learning pipeline for hematoma expansion prediction in spontaneous intracerebral hemorrhage based on non-contrast computed tomography. npj Digit. Medicine Qiang Yu, Xin Fan, Jinwei Li, Qianyu Hao, Youquan Ning, Shichao Long, Wenhao Jiang, Fajin Lv, Xianlei Yan, Quan Liu, Xiaoquan Xu, Zongqian Wu, Juan Peng, Min Wu
2025	J	`jnl`	Background Prompt for Few-Shot Out-of-Distribution Detection. CoRR Songyue Cai, Zongqian Wu, Yujie Mo, Liang Peng, Ping Hu, Xiaoshuang Shi, Xiaofeng Zhu
2025	J	`jnl`	Cascade-UDA: A Cascade paradigm for unsupervised domain adaptation. Neurocomputing Mengmeng Zhan, Zongqian Wu, Huafu Xu, Xiaofeng Zhu, Rongyao Hu
2025	J	`jnl`	Is Depth All You Need? An Exploration of Iterative Reasoning in LLMs. CoRR Zongqian Wu, Tianyu Li, Baoduo Xu, Jiaying Yang, Mengmeng Zhan, Xiaofeng Zhu, Lei Feng
2025	J	`jnl`	Mitigating Strategy-Selection Bias in Reasoning for More Effective Test-Time Scaling. CoRR Zongqian Wu, Baoduo Xu, Tianyu Li, Zhu Sun, Xiaofeng Zhu, Lei Feng
2025	A*	`conf`	Noisy Node Classification by Bi-level Optimization Based Multi-Teacher Distillation. AAAI Yujing Liu, Zongqian Wu, Zhengyu Lu, Ci Nie, Guoqiu Wen, Yonghua Zhu, Xiaofeng Zhu
2025	A*	`conf`	Rethinking Chain-of-Thought from the Perspective of Self-Training. ICML Zongqian Wu, Baoduo Xu, Ruochen Cui, Mengmeng Zhan, Xiaofeng Zhu, Lei Feng
2024	J	`jnl`	A noise-resistant graph neural network by semi-supervised contrastive learning. Inf. Sci. Zhengyu Lu, Junbo Ma, Zongqian Wu, Bo Zhou, Xiaofeng Zhu
2024	A*	`conf`	Adaptive Multi-Modality Prompt Learning. ACM Multimedia Zongqian Wu, Yujing Liu, Mengmeng Zhan, Ping Hu, Xiaofeng Zhu
2024	J	`jnl`	Graph augmentation for node-level few-shot learning. Knowl. Based Syst. Zongqian Wu, Peng Zhou, Junbo Ma, Jilian Zhang, Guoqin Yuan, Xiaofeng Zhu
2024	J	`jnl`	MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning. Medical Image Anal. Liang Peng, Songyue Cai, Zongqian Wu, Huifang Shang, Xiaofeng Zhu, Xiaoxiao Li
2024	J	`jnl`	Noisy Node Classification by Bi-level Optimization based Multi-teacher Distillation. CoRR Yujing Liu, Zongqian Wu, Zhengyu Lu, Ci Nie, Guoqiu Wen, Ping Hu, Xiaofeng Zhu
2024	J	`jnl`	Rethinking Chain-of-Thought from the Perspective of Self-Training. CoRR Zongqian Wu, Baoduo Xu, Ruochen Cui, Mengmeng Zhan, Xiaofeng Zhu, Lei Feng
2024	A*	`conf`	Self-Training Based Few-Shot Node Classification by Knowledge Distillation. AAAI Zongqian Wu, Yujie Mo, Peng Zhou, Shangbo Yuan, Xiaofeng Zhu
2024	A*	`conf`	Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation. IJCAI Mengmeng Zhan, Zongqian Wu, Rongyao Hu, Ping Hu, Heng Tao Shen, Xiaofeng Zhu
2023	J	`jnl`	Adaptive Multi-Modality Prompt Learning. CoRR Zongqian Wu, Yujing Liu, Mengmeng Zhan, Jialie Shen, Ping Hu, Xiaofeng Zhu
2023	J	`jnl`	Fast NURBS-based parametric modeling of human calves with high-accuracy for personalized design of graduated compression stockings. Comput. Methods Programs Biomed. Xi Wang, Zongqian Wu, Ying Xiong, Qiao Li, Xiaoming Tao
2023	J	`jnl`	MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning. CoRR Liang Peng, Songyue Cai, Zongqian Wu, Huifang Shang, Xiaofeng Zhu, Xiaoxiao Li
2023	J	`jnl`	Multi-scale graph classification with shared graph neural network. World Wide Web (WWW) Peng Zhou, Zongqian Wu, Guoqiu Wen, Kun Tang, Junbo Ma
2023	A*	`conf`	Multi-teacher Self-training for Semi-supervised Node Classification with Noisy Labels. ACM Multimedia Yujing Liu, Zongqian Wu, Zhengyu Lu, Guoqiu Wen, Junbo Ma, Guangquan Lu, Xiaofeng Zhu
2023	A*	`conf`	Multiplex Graph Representation Learning via Common and Private Information Mining. AAAI Yujie Mo, Zongqian Wu, Yuhuan Chen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu
2023	A*	`conf`	Totally Dynamic Hypergraph Neural Networks. IJCAI Peng Zhou, Zongqian Wu, Xiangxiang Zeng, Guoqiu Wen, Junbo Ma, Xiaofeng Zhu
2022	A*	`conf`	Information Augmentation for Few-shot Node Classification. IJCAI Zongqian Wu, Peng Zhou, Guoqiu Wen, Yingying Wan, Junbo Ma, Debo Cheng, Xiaofeng Zhu
2022	J	`jnl`	MTGCN: A multi-task approach for node classification and link prediction in graph data. Inf. Process. Manag. Zongqian Wu, Mengmeng Zhan, Haiqi Zhang, Qimin Luo, Kun Tang