Adversarial Representation Learning on Large-Scale Bipartite Graphs. - Chaoyang He 001; Tian Xie 005; Yu Rong 001; Wen-bing Huang 001; Junzhou Huang; Xiang Ren 001; Cyrus Shahabi (CoRR, 2019)

GraphHop++: New Insights into GraphHop and Its Enhancement. - Tian Xie 005; Rajgopal Kannan; C.-C. Jay Kuo (CoRR, 2022)

Joint online estimation of multi-order graph topological signals. - Yi Yan; Tian Xie 005; Ercan E. Kuruoglu (CoRR, 2022)

GraphHop: An Enhanced Label Propagation Method for Node Classification. - Tian Xie 005; Bin Wang 040; C.-C. Jay Kuo (IEEE Trans. Neural Networks Learn. Syst., 2023)

Label Efficient Regularization and Propagation for Graph Node Classification. - Tian Xie 005; Rajgopal Kannan; C.-C. Jay Kuo (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

L-BGNN: Layerwise Trained Bipartite Graph Neural Networks. - Tian Xie 005; Chaoyang He 001; Xiang Ren 001; Cyrus Shahabi; C.-C. Jay Kuo (IEEE Trans. Neural Networks Learn. Syst., 2023)

Adaptive Joint Estimation of Temporal Vertex and Edge Signals. - Yi Yan; Tian Xie 005; Ercan E. Kuruoglu (IEEE Trans. Signal Inf. Process. over Networks, 2025)