Yu Zhao

Orcid: 0000-0002-8454-0025

Affiliations:

Southwestern University of Finance and Economics, Fintech Innovation Center, Chengdu, China
University of Rochester, Department of Computer Science, Rochester, NY, USA
Beijing University of Posts and Telecommunications, School of Information and Communication, Beijing, China (PhD 2017)

According to our database¹, Yu Zhao authored at least 39 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

Temporal Knowledge Graph Reasoning With Dynamic Memory Enhancement.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2024

DKPE: Deep KeyPhrase Expansion.

[BibT_eX]

[DOI]

Neurocomputing, March, 2024

Combining intra-risk and contagion risk for enterprise bankruptcy prediction using graph neural networks.

[BibT_eX]

[DOI]

Inf. Sci., February, 2024

FinKENet: A Novel Financial Knowledge Enhanced Network for Financial Question Matching.

[BibT_eX]

[DOI]

Entropy, January, 2024

CoLive: Edge-Assisted Clustered Learning Framework for Viewport Prediction in 360$^{\circ }$ Live Streaming.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

ESIE-BERT: Enriching sub-words information explicitly with BERT for intent classification and slot filling.

[BibT_eX]

[DOI]

Neurocomputing, 2024

Graph Dimension Attention Networks for Enterprise Credit Assessment.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Optimal Customized Architecture for Heterogeneous Federated Learning with Contrastive Cloud-Edge Model Decoupling.

[BibT_eX]

[DOI]

CoRR, 2024

Representation Learning of Temporal Graphs with Structural Roles.

[BibT_eX]

[DOI]

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

2023

Learning Bi-Typed Multi-Relational Heterogeneous Graph Via Dual Hierarchical Attention Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., September, 2023

A Multi-User Cost-Efficient Crowd-Assisted VR Content Delivery Solution in 5G-and-Beyond Heterogeneous Networks.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., August, 2023

Stock Movement Prediction Based on Bi-Typed Hybrid-Relational Market Knowledge Graph via Dual Attention Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., August, 2023

Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity Typing.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., May, 2023

FedLive: A Federated Transmission Framework for Panoramic Livecast With Reinforced Variational Inference.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Taming Gradient Variance in Federated Learning with Networked Control Variates.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Multi-granularity heterogeneous graph attention networks for extractive document summarization.

[BibT_eX]

[DOI]

Neural Networks, 2022

EIGAT: Incorporating global information in local attention for knowledge representation learning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Learning from Knowledge Graphs: Neural Fine-Grained Entity Typing with Copy-Generation Networks.

[BibT_eX]

[DOI]

Entropy, 2022

Graph Learning: A Comprehensive Survey and Future Directions.

[BibT_eX]

[DOI]

Shaopeng Wei

Yu Zhao

CoRR, 2022

A Comprehensive Survey on Enterprise Financial Risk Analysis: Problems, Methods, Spotlights and Applications.

[BibT_eX]

[DOI]

Yu Zhao

Huaming Du

CoRR, 2022

AWTE-BERT: Attending to Wordpiece Tokenization Explicitly on BERT for Joint Intent Classification and SlotFilling.

[BibT_eX]

[DOI]

CoRR, 2022

Bankruptcy Prediction via Mixing Intra-Risk and Spillover-Risk.

[BibT_eX]

[DOI]

CoRR, 2022

Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Improving biomedical named entity recognition by dynamic caching inter-sentence information.

[BibT_eX]

[DOI]

Bioinform., 2022

CoLive: An Edge-Assisted Online Learning Framework for Viewport Prediction in 360° Live Streaming.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

2021

Learning entity type structured embeddings with trustworthiness on noisy knowledge graphs.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Dual Hierarchical Attention Networks for Bi-typed Heterogeneous Graph Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Deep Keyphrase Completion.

[BibT_eX]

[DOI]

CoRR, 2021

Confidence-Aware Embedding for Knowledge Graph Entity Typing.

[BibT_eX]

[DOI]

Complex., 2021

Incorporating Global Information in Local Attention for Knowledge Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Knowledge graph entity typing via learning connecting embeddings.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Connecting Embeddings for Knowledge Graph Entity Typing.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

A Robust AUC Maximization Framework With Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Embedding Learning with Triple Trustiness on Noisy Knowledge Graph.

[BibT_eX]

[DOI]

Yu Zhao

Huali Feng

Patrick Gallinari

Entropy, 2019

2018

A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Zero-Shot Embedding for Unseen Entities in Knowledge Graph.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2017

A Novel Embedding Model for Relation Prediction in Recommendation Systems.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2017

2016

A Novel Multimodal Deep Neural Network Framework for Extending Knowledge Base.

[BibT_eX]

[DOI]

Computación y Sistemas, 2016

2015

Knowledge base completion by learning pairwise-interaction differentiated embeddings.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2015

Yu Zhao

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