Homophily-enhanced Structure Learning for Graph Clustering. - Ming Gu 014; Gaoming Yang; Sheng Zhou 004; Ning Ma; Jiawei Chen 007; Qiaoyu Tan; Meihan Liu; Jiajun Bu (CIKM, 2023)

Rethinking Propagation for Unsupervised Graph Domain Adaptation. - Meihan Liu; Zeyu Fang; Zhen Zhang 023; Ming Gu 014; Sheng Zhou 004; Xin Wang 019; Jiajun Bu (AAAI, 2024)

Revisiting the Message Passing in Heterophilous Graph Neural Networks. - Zhuonan Zheng; Yuanchen Bei; Sheng Zhou 004; Yao Ma 001; Ming Gu 014; Hongjia Xu; Chengyu Lai; Jiawei Chen 007; Jiajun Bu (CoRR, 2024)

Towards a Unified Framework of Clustering-based Anomaly Detection. - Zeyu Fang; Ming Gu 014; Sheng Zhou 004; Jiawei Chen 007; Qiaoyu Tan; Haishuai Wang; Jiajun Bu (CoRR, 2024)

Universal Inceptive GNNs by Eliminating the Smoothness-generalization Dilemma. - Ming Gu 014; Zhuonan Zheng; Sheng Zhou 004; Meihan Liu; Jiawei Chen 007; Tanyu Qiao; Liangcheng Li; Jiajun Bu (CoRR, 2024)

Structure enhanced prototypical alignment for unsupervised cross-domain node classification. - Meihan Liu; Zhen Zhang 023; Ning Ma; Ming Gu 014; Haishuai Wang; Sheng Zhou 004; Jiajun Bu (Neural Networks, 2024)

Towards an Inclusive Mobile Web: A Dataset and Framework for Focusability in UI Accessibility. - Ming Gu 014; Lei Pei; Sheng Zhou 004; Ming Shen; Yuxuan Wu; Zirui Gao; Ziwei Wang; Shuo Shan; Wei Jiang 011; Yong Li 004; Jiajun Bu (WWW, 2025)

Frequency Self-Adaptation Graph Neural Network for Unsupervised Graph Anomaly Detection. - Ming Gu 014; Gaoming Yang; Zhuonan Zheng; Meihan Liu; Haishuai Wang; Jiawei Chen 007; Sheng Zhou 004; Jiajun Bu (Neural Networks, 2025)

Heterophilous distribution propagation for Graph Neural Networks. - Zhuonan Zheng; Sheng Zhou 004; Hongjia Xu; Ming Gu 014; Yilun Xu; Ao Li; Yuhong Li; Jingjun Gu; Jiajun Bu (Neural Networks, 2025)

NOS. - Ming Gu 014; Sheng Zhou 004; Jiajun Bu (Zenodo, 2025)

NOS-raw. - Ming Gu 014; Sheng Zhou 004; Jiajun Bu (Zenodo, 2025)