Preference-aware Heterogeneous Graph Neural Networks for Recommendation. - Yao Fu 006; Junhong Wan; Hong Zhao; Weihao Jiang; Shiliang Pu (ICTAI, 2020)

Memory Graph with Message Rehearsal for Multi-Turn Dialogue Generation. - Xiaoyu Cai; Yao Fu 006; Hong Zhao; Weihao Jiang; Shiliang Pu (CIKM, 2022)

Cognize Yourself: Graph Pre-Training via Core Graph Cognizing and Differentiating. - Tao Yu; Yao Fu 006; Linghui Hu; Huizhao Wang; Weihao Jiang; Shiliang Pu (CIKM, 2022)

Graph Intention Neural Network for Knowledge Graph Reasoning. - Weihao Jiang; Yao Fu 006; Hong Zhao; Junhong Wan; Shiliang Pu (IJCNN, 2022)

Tackling Over-Smoothing: Graph Hollow Convolution Network with Topological Layer Fusion. - Junhong Wan; Yao Fu 006; Weihao Jiang; Shiliang Pu; Junlan Yu (IJCNN, 2022)

Separate then Constrain: A Hierarchical Network for End-to-End Triples Extraction. - Huizhao Wang; Yao Fu 006; Linghui Hu; Weihao Jiang; Shiliang Pu (PAKDD (1), 2022)

Simulate Human Thinking: Cognitive Knowledge Graph Reasoning for Complex Question Answering. - Hong Zhao; Yao Fu 006; Weihao Jiang; Shiliang Pu; Xiaoyu Cai (PAKDD (1), 2022)

Cognitive-inspired Graph Redundancy Networks for Multi-source Information Fusion. - Yao Fu 006; Junhong Wan; Junlan Yu; Weihao Jiang; Shiliang Pu (CIKM, 2023)

Liberate Pseudo Labels from Over-Dependence: Label Information Migration on Sparsely Labeled Graphs. - Zhihui Hu; Yao Fu 006; Hong Zhao; Xiaoyu Cai; Weihao Jiang; Shiliang Pu (CIKM, 2023)

GraphFADE: Field-aware Decorrelation Neural Network for Graphs with Tabular Features. - Junhong Wan; Yao Fu 006; Junlan Yu; Weihao Jiang; Shiliang Pu; Ruiheng Yang (CIKM, 2023)

PROSE: Graph Structure Learning via Progressive Strategy. - Huizhao Wang; Yao Fu 006; Tao Yu; Linghui Hu; Weihao Jiang; Shiliang Pu (KDD, 2023)

NetRL: Task-Aware Network Denoising via Deep Reinforcement Learning. - Jiarong Xu; Yang Yang 009; Shiliang Pu; Yao Fu 006; Jun Feng; Weihao Jiang; Jiangang Lu; Chunping Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)

SensitiveHUE: Multivariate Time Series Anomaly Detection by Enhancing the Sensitivity to Normal Patterns. - Yuye Feng; Wei Zhang 031; Yao Fu 006; Weihao Jiang; Jiang Zhu; Wenqi Ren (KDD, 2024)