CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning. - Qingtian Bian; Jiaxing Xu; Hui Fang 002; Yiping Ke (CIKM, 2023)

Union Subgraph Neural Networks. - Jiaxing Xu; Aihu Zhang; Qingtian Bian; Vijay Prakash Dwivedi; Yiping Ke (AAAI, 2024)

Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification. - Jiaxing Xu; Kai He 001; Mengcheng Lan; Qingtian Bian; Wei Li 231; Tieying Li; Yiping Ke; Miao Qiao (CIKM, 2024)

Multi-Atlas Brain Network Classification through Consistency Distillation and Complementary Information Fusion. - Jiaxing Xu; Mengcheng Lan; Xia Dong; Kai He 001; Wei Zhang 010; Qingtian Bian; Yiping Ke (CoRR, 2024)

Contrastive Graph Pooling for Explainable Classification of Brain Networks. - Jiaxing Xu; Qingtian Bian; Xinhang Li 001; Aihu Zhang; Yiping Ke; Miao Qiao; Wei Zhang 266; Wei Khang Jeremy Sim; Balázs Gulyás (IEEE Trans. Medical Imaging, 2024)

Corrections to "Contrastive Graph Pooling for Explainable Classification of Brain Networks". - Jiaxing Xu; Qingtian Bian; Xinhang Li 001; Aihu Zhang; Yiping Ke; Miao Qiao; Wei Zhang 266; Wei Khang Jeremy Sim; Balázs Gulyás (IEEE Trans. Medical Imaging, 2024)

BrainOOD: Out-of-distribution Generalizable Brain Network Analysis. - Jiaxing Xu; Yongqiang Chen; Xia Dong; Mengcheng Lan; Tiancheng Huang; Qingtian Bian; James Cheng; Yiping Ke (ICLR, 2025)

ABXI: Invariant Interest Adaptation for Task-Guided Cross-Domain Sequential Recommendation. - Qingtian Bian; Marcus Vinícius de Carvalho; Tieying Li; Jiaxing Xu; Hui Fang 002; Yiping Ke (WWW, 2025)