Temporal Link Prediction Via Reinforcement Learning. - Ye Tao 011; Ying Li 012; Zhonghai Wu (ICASSP, 2021)

Revisiting Graph Neural Networks for Node Classification in Heterogeneous Graphs. - Ye Tao 011; Ying Li 012; Zhonghai Wu (ICME, 2021)

Revisiting Attention-Based Graph Neural Networks for Graph Classification. - Ye Tao 011; Ying Li 012; Zhonghai Wu (PPSN (1), 2022)

SemiGraphFL: Semi-supervised Graph Federated Learning for Graph Classification. - Ye Tao 011; Ying Li 012; Zhonghai Wu (PPSN (1), 2022)

Revisiting Graph based Social Recommendation: A Distillation Enhanced Social Graph Network. - Ye Tao 011; Ying Li 012; Su Zhang; Zhirong Hou; Zhonghai Wu (WWW, 2022)

Fusing Global and Local Interests with Contrastive Learning in Session-Based Recommendation. - Su Zhang; Ye Tao 011; Ying Li 012; Zhonghai Wu (APWeb/WAIM (4), 2023)

Select, Extend, and Generate: Generative Knowledge Selection for Open-Domain Dialogue Response Generation. - Sixing Wu; Ping Xue 015; Ye Tao 011; Ying Li 012; Zhonghai Wu (DASFAA (3), 2023)

Identifying Root-Cause Changes for User-Reported Incidents in Online Service Systems. - Yujin Zhao; Ling Jiang; Ye Tao 011; Songlin Zhang; Changlong Wu; Tong Jia; Xiaosong Huang; Ying Li 012; Zhonghai Wu (ISSRE, 2023)

How to Manage Change-Induced Incidents? Lessons from the Study of Incident Life Cycle. - Yujin Zhao; Ling Jiang; Ye Tao 011; Songlin Zhang; Changlong Wu; Yifan Wu 002; Tong Jia; Ying Li 012; Zhonghai Wu (ISSRE, 2023)