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ORCIDYao Fu 0006
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2020 – today
- 2024
[c12]Yuye Feng
, Wei Zhang, Yao Fu, Weihao Jiang, Jiang Zhu, Wenqi Ren:
SensitiveHUE: Multivariate Time Series Anomaly Detection by Enhancing the Sensitivity to Normal Patterns. KDD 2024: 782-793- 2023
- [j1]Jiarong Xu, Yang Yang, Shiliang Pu, Yao Fu, Jun Feng, Weihao Jiang, Jiangang Lu, Chunping Wang:
NetRL: Task-Aware Network Denoising via Deep Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35(1): 810-823 (2023) - [c11]Yao Fu, Junhong Wan, Junlan Yu, Weihao Jiang, Shiliang Pu:
Cognitive-inspired Graph Redundancy Networks for Multi-source Information Fusion. CIKM 2023: 524-534 - [c10]Zhihui Hu, Yao Fu, Hong Zhao, Xiaoyu Cai, Weihao Jiang, Shiliang Pu:
Liberate Pseudo Labels from Over-Dependence: Label Information Migration on Sparsely Labeled Graphs. CIKM 2023: 833-842 - [c9]Junhong Wan, Yao Fu, Junlan Yu, Weihao Jiang, Shiliang Pu, Ruiheng Yang:
GraphFADE: Field-aware Decorrelation Neural Network for Graphs with Tabular Features. CIKM 2023: 2502-2511 - [c8]Huizhao Wang, Yao Fu, Tao Yu, Linghui Hu, Weihao Jiang, Shiliang Pu:
PROSE: Graph Structure Learning via Progressive Strategy. KDD 2023: 2337-2348 - 2022
- [c7]Xiaoyu Cai, Yao Fu, Hong Zhao, Weihao Jiang, Shiliang Pu:
Memory Graph with Message Rehearsal for Multi-Turn Dialogue Generation. CIKM 2022: 108-117 - [c6]Tao Yu, Yao Fu, Linghui Hu, Huizhao Wang, Weihao Jiang, Shiliang Pu:
Cognize Yourself: Graph Pre-Training via Core Graph Cognizing and Differentiating. CIKM 2022: 2413-2422 - [c5]Weihao Jiang, Yao Fu, Hong Zhao, Junhong Wan, Shiliang Pu:
Graph Intention Neural Network for Knowledge Graph Reasoning. IJCNN 2022: 1-8 - [c4]Junhong Wan, Yao Fu, Weihao Jiang, Shiliang Pu, Junlan Yu:
Tackling Over-Smoothing: Graph Hollow Convolution Network with Topological Layer Fusion. IJCNN 2022: 1-9 - [c3]Hong Zhao, Yao Fu, Weihao Jiang, Shiliang Pu, Xiaoyu Cai:
Simulate Human Thinking: Cognitive Knowledge Graph Reasoning for Complex Question Answering. PAKDD (1) 2022: 522-534 - [c2]Huizhao Wang, Yao Fu, Linghui Hu, Weihao Jiang, Shiliang Pu:
Separate then Constrain: A Hierarchical Network for End-to-End Triples Extraction. PAKDD (1) 2022: 535-547 - 2020
- [c1]Yao Fu, Junhong Wan, Hong Zhao, Weihao Jiang, Shiliang Pu:
Preference-aware Heterogeneous Graph Neural Networks for Recommendation. ICTAI 2020: 41-46
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