Yao Fu

According to our database, Yao Fu authored at least 14 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Balance and Brighten: A Twin-Propeller Network to Release Potential of Physics Laws for Traffic State Estimation.

Weihao Jiang, Yao Fu, Hong Zhao, Xiaoyu Cai, Ruiheng Yang, Linsen Li, Jiang Zhu

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

SensitiveHUE: Multivariate Time Series Anomaly Detection by Enhancing the Sensitivity to Normal Patterns.

Yuye Feng, Wei Zhang, Yao Fu, Weihao Jiang, Jiang Zhu, Wenqi Ren

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

NetRL: Task-Aware Network Denoising via Deep Reinforcement Learning.

Jiarong Xu, Yang Yang, Shiliang Pu, Yao Fu, Jun Feng, Weihao Jiang, Jiangang Lu, Chunping Wang

IEEE Trans. Knowl. Data Eng., 2023

PROSE: Graph Structure Learning via Progressive Strategy.

Huizhao Wang, Yao Fu, Tao Yu, Linghui Hu, Weihao Jiang, Shiliang Pu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

GraphFADE: Field-aware Decorrelation Neural Network for Graphs with Tabular Features.

Junhong Wan, Yao Fu, Junlan Yu, Weihao Jiang, Shiliang Pu, Ruiheng Yang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Liberate Pseudo Labels from Over-Dependence: Label Information Migration on Sparsely Labeled Graphs.

Zhihui Hu, Yao Fu, Hong Zhao, Xiaoyu Cai, Weihao Jiang, Shiliang Pu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Cognitive-inspired Graph Redundancy Networks for Multi-source Information Fusion.

Yao Fu, Junhong Wan, Junlan Yu, Weihao Jiang, Shiliang Pu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Simulate Human Thinking: Cognitive Knowledge Graph Reasoning for Complex Question Answering.

Hong Zhao, Yao Fu, Weihao Jiang, Shiliang Pu, Xiaoyu Cai

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Separate then Constrain: A Hierarchical Network for End-to-End Triples Extraction.

Huizhao Wang, Yao Fu, Linghui Hu, Weihao Jiang, Shiliang Pu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Tackling Over-Smoothing: Graph Hollow Convolution Network with Topological Layer Fusion.

Junhong Wan, Yao Fu, Weihao Jiang, Shiliang Pu, Junlan Yu

Proceedings of the International Joint Conference on Neural Networks, 2022

Graph Intention Neural Network for Knowledge Graph Reasoning.

Weihao Jiang, Yao Fu, Hong Zhao, Junhong Wan, Shiliang Pu

Proceedings of the International Joint Conference on Neural Networks, 2022

Cognize Yourself: Graph Pre-Training via Core Graph Cognizing and Differentiating.

Tao Yu, Yao Fu, Linghui Hu, Huizhao Wang, Weihao Jiang, Shiliang Pu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Memory Graph with Message Rehearsal for Multi-Turn Dialogue Generation.

Xiaoyu Cai, Yao Fu, Hong Zhao, Weihao Jiang, Shiliang Pu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2020

Preference-aware Heterogeneous Graph Neural Networks for Recommendation.

Yao Fu, Junhong Wan, Hong Zhao, Weihao Jiang, Shiliang Pu

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020