Yu Zhao

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 38

Top Topics

Relational Graph

Knowledge Representation

Document Summarization

Top Venues

Knowl. Based Syst.

IEEE Trans. Knowl. Data Eng.

Publications

Huaming Du, Zhilong Xie, Jia Song, Yaoxing Yuan, Jiacan Li, Xingyan Chen, Huangen Chen, Yu Zhao, Fuzhen Zhuang, Qing Li
DKPE: Deep KeyPhrase Expansion. Neurocomputing 572 (2024)
Shaopeng Wei, Beni Egressy, Xingyan Chen, Yu Zhao, Fuzhen Zhuang, Roger Wattenhofer, Gang Kou
Graph Dimension Attention Networks for Enterprise Credit Assessment. CoRR (2024)
Huaming Du, Long Shi, Xingyan Chen, Yu Zhao, Hegui Zhang, Carl Yang, Fuzhen Zhuang, Gang Kou
Representation Learning of Temporal Graphs with Structural Roles. KDD (2024)
Shaopeng Wei, Jia Lv, Yu Guo, Qing Yang, Xingyan Chen, Yu Zhao, Qing Li, Fuzhen Zhuang, Gang Kou
Combining intra-risk and contagion risk for enterprise bankruptcy prediction using graph neural networks. Inf. Sci. 659 (2024)
Mu Wang, Xingyan Chen, Xu Yang, Shuai Peng, Yu Zhao, Mingwei Xu, Changqiao Xu
CoLive: Edge-Assisted Clustered Learning Framework for Viewport Prediction in 360$^{\circ }$ Live Streaming. IEEE Trans. Multim. 26 (2024)
Yu Guo, Ting Liang, Zhongpu Chen, Binchen Yang, Jun Wang, Yu Zhao
FinKENet: A Novel Financial Knowledge Enhanced Network for Financial Question Matching. Entropy 26 (1) (2024)
Xingyan Chen, Tian Du, Mu Wang, Tiancheng Gu, Yu Zhao, Gang Kou, Changqiao Xu, Dapeng Oliver Wu
Towards Optimal Customized Architecture for Heterogeneous Federated Learning with Contrastive Cloud-Edge Model Decoupling. CoRR (2024)
Yu Guo, Zhilong Xie, Xingyan Chen, Huangen Chen, Leilei Wang, Huaming Du, Shaopeng Wei, Yu Zhao, Qing Li, Gang Wu
ESIE-BERT: Enriching sub-words information explicitly with BERT for intent classification and slot filling. Neurocomputing 591 (2024)
Yu Zhao, Huaming Du, Ying Liu, Shaopeng Wei, Xingyan Chen, Fuzhen Zhuang, Qing Li, Gang Kou
Stock Movement Prediction Based on Bi-Typed Hybrid-Relational Market Knowledge Graph via Dual Attention Networks. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Lujie Zhong, Xingyan Chen, Changqiao Xu, Yunxiao Ma, Mu Wang, Yu Zhao, Gabriel-Miro Muntean
A Multi-User Cost-Efficient Crowd-Assisted VR Content Delivery Solution in 5G-and-Beyond Heterogeneous Networks. IEEE Trans. Mob. Comput. 22 (8) (2023)
Xingyan Chen, Mu Wang, Changqiao Xu, Yu Zhao, Shujie Yang, Ke Jiang, Qing Li, Lujie Zhong, Gabriel-Miro Muntean
FedLive: A Federated Transmission Framework for Panoramic Livecast With Reinforced Variational Inference. IEEE Trans. Multim. 25 (2023)
Xingyan Chen, Yaling Liu, Huaming Du, Mu Wang, Yu Zhao
Taming Gradient Variance in Federated Learning with Networked Control Variates. CoRR (2023)
Yu Zhao, Han Zhou, Anxiang Zhang, Ruobing Xie, Qing Li, Fuzhen Zhuang
Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity Typing. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Yu Zhao, Shaopeng Wei, Huaming Du, Xingyan Chen, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou
Learning Bi-Typed Multi-Relational Heterogeneous Graph Via Dual Hierarchical Attention Networks. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Zongjian Yu, Anxiang Zhang, Huali Feng, Huaming Du, Shaopeng Wei, Yu Zhao
Learning from Knowledge Graphs: Neural Fine-Grained Entity Typing with Copy-Generation Networks. Entropy 24 (7) (2022)
Yu Zhao, Shaopeng Wei, Yu Guo, Qing Yang, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou
Bankruptcy Prediction via Mixing Intra-Risk and Spillover-Risk. CoRR (2022)
Mu Wang, Shuai Peng, Xingyan Chen, Yu Zhao, Mingwei Xu, Changqiao Xu
CoLive: An Edge-Assisted Online Learning Framework for Viewport Prediction in 360° Live Streaming. ICME (2022)
Yu Zhao, Huali Feng, Han Zhou, Yanruo Yang, Xingyan Chen, Ruobing Xie, Fuzhen Zhuang, Qing Li
EIGAT: Incorporating global information in local attention for knowledge representation learning. Knowl. Based Syst. 237 (2022)
Yu Zhao, Huaming Du, Ying Liu, Shaopeng Wei, Xingyan Chen, Fuzhen Zhuang, Qing Li, Ji Liu, Gang Kou
Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks. CoRR (2022)
Yiqi Tong, Fuzhen Zhuang, Huajie Zhang, Chuyu Fang, Yu Zhao, Deqing Wang, Hengshu Zhu, Bin Ni
Improving biomedical named entity recognition by dynamic caching inter-sentence information. Bioinform. 38 (16) (2022)
Shaopeng Wei, Yu Zhao
Graph Learning: A Comprehensive Survey and Future Directions. CoRR (2022)
Yu Zhao, Huaming Du
A Comprehensive Survey on Enterprise Financial Risk Analysis: Problems, Methods, Spotlights and Applications. CoRR (2022)
Yu Guo, Zhilong Xie, Xingyan Chen, Leilei Wang, Yu Zhao, Gang Wu
AWTE-BERT: Attending to Wordpiece Tokenization Explicitly on BERT for Joint Intent Classification and SlotFilling. CoRR (2022)
Yu Zhao, Leilei Wang, Cui Wang, Huaming Du, Shaopeng Wei, Huali Feng, Zongjian Yu, Qing Li
Multi-granularity heterogeneous graph attention networks for extractive document summarization. Neural Networks 155 (2022)
Yu Zhao, Jiayue Hou, Zongjian Yu, Yun Zhang, Qing Li
Confidence-Aware Embedding for Knowledge Graph Entity Typing. Complex. 2021 (2021)
Yu Zhao, Zhiquan Li, Wei Deng, Ruobing Xie, Qing Li
Learning entity type structured embeddings with trustworthiness on noisy knowledge graphs. Knowl. Based Syst. 215 (2021)
Yu Zhao, Han Zhou, Ruobing Xie, Fuzhen Zhuang, Qing Li, Ji Liu
Incorporating Global Information in Local Attention for Knowledge Representation Learning. ACL/IJCNLP (Findings) (2021)
Yu Zhao, Jia Song, Huali Feng, Fuzhen Zhuang, Qing Li, Xiaojie Wang, Ji Liu
Deep Keyphrase Completion. CoRR (2021)
Yu Zhao, Shaopeng Wei, Huaming Du, Xingyan Chen, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou
Dual Hierarchical Attention Networks for Bi-typed Heterogeneous Graph Learning. CoRR (2021)
Yu Zhao, Anxiang Zhang, Ruobing Xie, Kang Liu, Xiaojie Wang
Connecting Embeddings for Knowledge Graph Entity Typing. ACL (2020)
Yu Zhao, Anxiang Zhang, Ruobing Xie, Kang Liu, Xiaojie Wang
Connecting Embeddings for Knowledge Graph Entity Typing. CoRR (2020)
Yu Zhao, Anxiang Zhang, Huali Feng, Qing Li, Patrick Gallinari, Fuji Ren
Knowledge graph entity typing via learning connecting embeddings. Knowl. Based Syst. 196 (2020)
Yu Zhao, Huali Feng, Patrick Gallinari
Embedding Learning with Triple Trustiness on Noisy Knowledge Graph. Entropy 21 (11) (2019)
Ke Ren, Haichuan Yang, Yu Zhao, Wu Chen, Mingshan Xue, Hongyu Miao, Shuai Huang, Ji Liu
A Robust AUC Maximization Framework With Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification. IEEE Trans. Neural Networks Learn. Syst. 30 (10) (2019)
Ke Ren, Haichuan Yang, Yu Zhao, Mingshan Xue, Hongyu Miao, Shuai Huang, Ji Liu
A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification. CoRR (2018)
Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo
Zero-Shot Embedding for Unseen Entities in Knowledge Graph. IEICE Trans. Inf. Syst. (7) (2017)
Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo
A Novel Embedding Model for Relation Prediction in Recommendation Systems. IEICE Trans. Inf. Syst. (6) (2017)
Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo
A Novel Multimodal Deep Neural Network Framework for Extending Knowledge Base. Computación y Sistemas 20 (3) (2016)
Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo
Knowledge base completion by learning pairwise-interaction differentiated embeddings. Data Min. Knowl. Discov. 29 (5) (2015)