Yu Zhao
Orcid: 0000-0002-8454-0025Affiliations:
- 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 34 papers
between 2015 and 2024.
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Bibliography
2024
Combining intra-risk and contagion risk for enterprise bankruptcy prediction using graph neural networks.
Inf. Sci., February, 2024
CoLive: Edge-Assisted Clustered Learning Framework for Viewport Prediction in 360$^{\circ }$ Live Streaming.
IEEE Trans. Multim., 2024
Towards Optimal Customized Architecture for Heterogeneous Federated Learning with Contrastive Cloud-Edge Model Decoupling.
CoRR, 2024
2023
Learning Bi-Typed Multi-Relational Heterogeneous Graph Via Dual Hierarchical Attention Networks.
IEEE Trans. Knowl. Data Eng., September, 2023
A Multi-User Cost-Efficient Crowd-Assisted VR Content Delivery Solution in 5G-and-Beyond Heterogeneous Networks.
IEEE Trans. Mob. Comput., August, 2023
Stock Movement Prediction Based on Bi-Typed Hybrid-Relational Market Knowledge Graph via Dual Attention Networks.
IEEE Trans. Knowl. Data Eng., August, 2023
Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity Typing.
IEEE Trans. Knowl. Data Eng., May, 2023
FedLive: A Federated Transmission Framework for Panoramic Livecast With Reinforced Variational Inference.
IEEE Trans. Multim., 2023
CoRR, 2023
2022
Multi-granularity heterogeneous graph attention networks for extractive document summarization.
Neural Networks, 2022
EIGAT: Incorporating global information in local attention for knowledge representation learning.
Knowl. Based Syst., 2022
Learning from Knowledge Graphs: Neural Fine-Grained Entity Typing with Copy-Generation Networks.
Entropy, 2022
A Comprehensive Survey on Enterprise Financial Risk Analysis: Problems, Methods, Spotlights and Applications.
CoRR, 2022
AWTE-BERT: Attending to Wordpiece Tokenization Explicitly on BERT for Joint Intent Classification and SlotFilling.
CoRR, 2022
Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks.
CoRR, 2022
Improving biomedical named entity recognition by dynamic caching inter-sentence information.
Bioinform., 2022
CoLive: An Edge-Assisted Online Learning Framework for Viewport Prediction in 360° Live Streaming.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
2021
Learning entity type structured embeddings with trustworthiness on noisy knowledge graphs.
Knowl. Based Syst., 2021
CoRR, 2021
Incorporating Global Information in Local Attention for Knowledge Representation Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
2020
Knowl. Based Syst., 2020
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.
IEEE Trans. Neural Networks Learn. Syst., 2019
2018
A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification.
CoRR, 2018
2017
IEICE Trans. Inf. Syst., 2017
IEICE Trans. Inf. Syst., 2017
2016
Computación y Sistemas, 2016
2015
Knowledge base completion by learning pairwise-interaction differentiated embeddings.
Data Min. Knowl. Discov., 2015