Yu Zhao

58 papers A* 5A 1Journal 50Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Graph learning and its advancements on large language models: A holistic survey.
Neurocomputing
Shaopeng Wei, Jun Wang, Yu Zhao, Xingyan Chen, Xiaochun Hu, Qing Li, Fuzhen Zhuang, Fuji Ren, Gang Kou
2026 J jnl
MaTSE: A hybrid Mamba-Transformer model for monaural Speech Enhancement.
Speech Commun.
Hao Zhou, Yi Zhou, Yu Zhao, Yin Liu
2026 J jnl
Tensor-Based Graph Learning With Consistency and Specificity for Multi-View Clustering.
IEEE Trans. Multim.
Long Shi, Yunshan Ye, Lei Cao, Yu Zhao, Badong Chen
2026 A* conf
Traceable Latent Variable Discovery Based on Multi-Agent Collaboration.
WWW
Huaming Du, Tao Hu, Yijie Huang, Yu Zhao, Guisong Liu, Tao Gu, Gang Kou, Carl Yang
2026 J jnl
Traceable Latent Variable Discovery Based on Multi-Agent Collaboration.
CoRR
Huaming Du, Tao Hu, Yijie Huang, Yu Zhao, Guisong Liu, Tao Gu, Gang Kou, Carl Yang
2026 A* conf
Transferable Graph Condensation from the Causal Perspective.
AAAI
Huaming Du, Yijie Huang, Su Yao, Yiying Wang, Yueyang Zhou, Jingwen Yang, Jinshi Zhang, Han Ji, Yu Zhao, Guisong Liu, Hegui Zhang, Carl Yang, Gang Kou
2025 J jnl
A Novel Adaptive $360^{\circ }$360∘ Livestreaming With Graph Representation Learning Based FoV Prediction.
IEEE Trans. Emerg. Top. Comput.
Xingyan Chen, Huaming Du, Mu Wang, Yu Zhao, Xiaoyang Shu, Changqiao Xu, Gabriel-Miro Muntean
2025 — conf
Causal Discovery through Synergizing Large Language Model and Data-Driven Reasoning.
KDD (2)
Huaming Du, Yujia Zheng, Baoyu Jing, Yu Zhao, Gang Kou, Guisong Liu, Tao Gu, Weimin Li, Carl Yang
2025 J jnl
Identifying Evidence Subgraphs for Financial Risk Detection via Graph Counterfactual and Factual Reasoning.
CoRR
Huaming Du, Lei Yuan, Qing Yang, Xingyan Chen, Yu Zhao, Han Ji, Fuzhen Zhuang, Carl Yang, Gang Kou
2025 A* conf
MDEval: Evaluating and Enhancing Markdown Awareness in Large Language Models.
WWW
Zhongpu Chen, Yinfeng Liu, Long Shi, Zhi-Jie Wang, Xingyan Chen, Yu Zhao, Fuji Ren
2025 J jnl
MDEval: Evaluating and Enhancing Markdown Awareness in Large Language Models.
CoRR
Zhongpu Chen, Yinfeng Liu, Long Shi, Xingyan Chen, Yu Zhao, Fuji Ren
2025 J jnl
Towards Comprehensive Information-theoretic Multi-view Learning.
CoRR
Long Shi, Yunshan Ye, Wenjie Wang, Tao Lei, Yu Zhao, Gang Kou, Badong Chen
2025 J jnl
Towards Optimal Customized Architecture for Heterogeneous Federated Learning With Contrastive Cloud-Edge Model Decoupling.
IEEE Trans. Computers
Xingyan Chen, Tian Du, Mu Wang, Tiancheng Gu, Yu Zhao, Gang Kou, Changqiao Xu, Dapeng Oliver Wu
2025 J jnl
Unified and efficient multi-view clustering with tensorized bipartite graph.
Expert Syst. Appl.
Lei Cao, Zhenzhu Chen, Chuanqing Tang, Junyu Chen, Huaming Du, Yu Zhao, Qing Li, Long Shi
2024 J jnl
CoLive: Edge-Assisted Clustered Learning Framework for Viewport Prediction in 360$^{\circ }$ Live Streaming.
IEEE Trans. Multim.
Mu Wang, Xingyan Chen, Xu Yang, Shuai Peng, Yu Zhao, Mingwei Xu, Changqiao Xu
2024 J jnl
Combining intra-risk and contagion risk for enterprise bankruptcy prediction using graph neural networks.
Inf. Sci.
Shaopeng Wei, Jia Lv, Yu Guo, Qing Yang, Xingyan Chen, Yu Zhao, Qing Li, Fuzhen Zhuang, Gang Kou
2024 J jnl
DKPE: Deep KeyPhrase Expansion.
Neurocomputing
Huaming Du, Zhilong Xie, Jia Song, Yaoxing Yuan, Jiacan Li, Xingyan Chen, Huangen Chen, Yu Zhao, Fuzhen Zhuang, Qing Li
2024 J jnl
ESIE-BERT: Enriching sub-words information explicitly with BERT for intent classification and slot filling.
Neurocomputing
Yu Guo, Zhilong Xie, Xingyan Chen, Huangen Chen, Leilei Wang, Huaming Du, Shaopeng Wei, Yu Zhao, Qing Li, Gang Wu
2024 J jnl
FinKENet: A Novel Financial Knowledge Enhanced Network for Financial Question Matching.
Entropy
Yu Guo, Ting Liang, Zhongpu Chen, Binchen Yang, Jun Wang, Yu Zhao
2024 J jnl
Graph Dimension Attention Networks for Enterprise Credit Assessment.
CoRR
Shaopeng Wei, Beni Egressy, Xingyan Chen, Yu Zhao, Fuzhen Zhuang, Roger Wattenhofer, Gang Kou
2024 J jnl
Melody Is All You Need For Music Generation.
CoRR
Shaopeng Wei, Manzhen Wei, Haoyu Wang, Yu Zhao, Gang Kou
2024 J jnl
Nonlinear subspace clustering by functional link neural networks.
Appl. Soft Comput.
Long Shi, Lei Cao, Zhongpu Chen, Yu Zhao, Badong Chen
2024 J jnl
Nonlinear subspace clustering by functional link neural networks.
CoRR
Long Shi, Lei Cao, Zhongpu Chen, Badong Chen, Yu Zhao
2024 A* conf
Representation Learning of Temporal Graphs with Structural Roles.
KDD
Huaming Du, Long Shi, Xingyan Chen, Yu Zhao, Hegui Zhang, Carl Yang, Fuzhen Zhuang, Gang Kou
2024 J jnl
Temporal Knowledge Graph Reasoning With Dynamic Memory Enhancement.
IEEE Trans. Knowl. Data Eng.
Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Yu Zhao, Deqing Wang, Hongwei Zheng
2024 J jnl
Tensor-based Graph Learning with Consistency and Specificity for Multi-view Clustering.
CoRR
Long Shi, Lei Cao, Yunshan Ye, Yu Zhao, Badong Chen
2024 J jnl
Towards Optimal Customized Architecture for Heterogeneous Federated Learning with Contrastive Cloud-Edge Model Decoupling.
CoRR
Xingyan Chen, Tian Du, Mu Wang, Tiancheng Gu, Yu Zhao, Gang Kou, Changqiao Xu, Dapeng Oliver Wu
2023 J jnl
A Multi-User Cost-Efficient Crowd-Assisted VR Content Delivery Solution in 5G-and-Beyond Heterogeneous Networks.
IEEE Trans. Mob. Comput.
Lujie Zhong, Xingyan Chen, Changqiao Xu, Yunxiao Ma, Mu Wang, Yu Zhao, Gabriel-Miro Muntean
2023 J jnl
Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity Typing.
IEEE Trans. Knowl. Data Eng.
Yu Zhao, Han Zhou, Anxiang Zhang, Ruobing Xie, Qing Li, Fuzhen Zhuang
2023 J jnl
FedLive: A Federated Transmission Framework for Panoramic Livecast With Reinforced Variational Inference.
IEEE Trans. Multim.
Xingyan Chen, Mu Wang, Changqiao Xu, Yu Zhao, Shujie Yang, Ke Jiang, Qing Li, Lujie Zhong, Gabriel-Miro Muntean
2023 J jnl
Learning Bi-Typed Multi-Relational Heterogeneous Graph Via Dual Hierarchical Attention Networks.
IEEE Trans. Knowl. Data Eng.
Yu Zhao, Shaopeng Wei, Huaming Du, Xingyan Chen, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou
2023 J jnl
Stock Movement Prediction Based on Bi-Typed Hybrid-Relational Market Knowledge Graph via Dual Attention Networks.
IEEE Trans. Knowl. Data Eng.
Yu Zhao, Huaming Du, Ying Liu, Shaopeng Wei, Xingyan Chen, Fuzhen Zhuang, Qing Li, Gang Kou
2023 J jnl
Taming Gradient Variance in Federated Learning with Networked Control Variates.
CoRR
Xingyan Chen, Yaling Liu, Huaming Du, Mu Wang, Yu Zhao
2022 J jnl
A Comprehensive Survey on Enterprise Financial Risk Analysis: Problems, Methods, Spotlights and Applications.
CoRR
Yu Zhao, Huaming Du
2022 J jnl
AWTE-BERT: Attending to Wordpiece Tokenization Explicitly on BERT for Joint Intent Classification and SlotFilling.
CoRR
Yu Guo, Zhilong Xie, Xingyan Chen, Leilei Wang, Yu Zhao, Gang Wu
2022 J jnl
Bankruptcy Prediction via Mixing Intra-Risk and Spillover-Risk.
CoRR
Yu Zhao, Shaopeng Wei, Yu Guo, Qing Yang, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou
2022 A conf
CoLive: An Edge-Assisted Online Learning Framework for Viewport Prediction in 360° Live Streaming.
ICME
Mu Wang, Shuai Peng, Xingyan Chen, Yu Zhao, Mingwei Xu, Changqiao Xu
2022 J jnl
EIGAT: Incorporating global information in local attention for knowledge representation learning.
Knowl. Based Syst.
Yu Zhao, Huali Feng, Han Zhou, Yanruo Yang, Xingyan Chen, Ruobing Xie, Fuzhen Zhuang, Qing Li
2022 J jnl
Graph Learning: A Comprehensive Survey and Future Directions.
CoRR
Shaopeng Wei, Yu Zhao
2022 J jnl
Improving biomedical named entity recognition by dynamic caching inter-sentence information.
Bioinform.
Yiqi Tong, Fuzhen Zhuang, Huajie Zhang, Chuyu Fang, Yu Zhao, Deqing Wang, Hengshu Zhu, Bin Ni
2022 J jnl
Learning from Knowledge Graphs: Neural Fine-Grained Entity Typing with Copy-Generation Networks.
Entropy
Zongjian Yu, Anxiang Zhang, Huali Feng, Huaming Du, Shaopeng Wei, Yu Zhao
2022 J jnl
Multi-granularity heterogeneous graph attention networks for extractive document summarization.
Neural Networks
Yu Zhao, Leilei Wang, Cui Wang, Huaming Du, Shaopeng Wei, Huali Feng, Zongjian Yu, Qing Li
2022 J jnl
Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks.
CoRR
Yu Zhao, Huaming Du, Ying Liu, Shaopeng Wei, Xingyan Chen, Fuzhen Zhuang, Qing Li, Ji Liu, Gang Kou
2021 J jnl
Confidence-Aware Embedding for Knowledge Graph Entity Typing.
Complex.
Yu Zhao, Jiayue Hou, Zongjian Yu, Yun Zhang, Qing Li
2021 J jnl
Deep Keyphrase Completion.
CoRR
Yu Zhao, Jia Song, Huali Feng, Fuzhen Zhuang, Qing Li, Xiaojie Wang, Ji Liu
2021 J jnl
Dual Hierarchical Attention Networks for Bi-typed Heterogeneous Graph Learning.
CoRR
Yu Zhao, Shaopeng Wei, Huaming Du, Xingyan Chen, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou
2021 — conf
Incorporating Global Information in Local Attention for Knowledge Representation Learning.
ACL/IJCNLP (Findings)
Yu Zhao, Han Zhou, Ruobing Xie, Fuzhen Zhuang, Qing Li, Ji Liu
2021 J jnl
Learning entity type structured embeddings with trustworthiness on noisy knowledge graphs.
Knowl. Based Syst.
Yu Zhao, Zhiquan Li, Wei Deng, Ruobing Xie, Qing Li
2020 A* conf
Connecting Embeddings for Knowledge Graph Entity Typing.
ACL
Yu Zhao, Anxiang Zhang, Ruobing Xie, Kang Liu, Xiaojie Wang
2020 J jnl
Connecting Embeddings for Knowledge Graph Entity Typing.
CoRR
Yu Zhao, Anxiang Zhang, Ruobing Xie, Kang Liu, Xiaojie Wang
2020 J jnl
Knowledge graph entity typing via learning connecting embeddings.
Knowl. Based Syst.
Yu Zhao, Anxiang Zhang, Huali Feng, Qing Li, Patrick Gallinari, Fuji Ren
2019 J jnl
A Robust AUC Maximization Framework With Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification.
IEEE Trans. Neural Networks Learn. Syst.
Ke Ren, Haichuan Yang, Yu Zhao, Wu Chen, Mingshan Xue, Hongyu Miao, Shuai Huang, Ji Liu
2019 J jnl
Embedding Learning with Triple Trustiness on Noisy Knowledge Graph.
Entropy
Yu Zhao, Huali Feng, Patrick Gallinari
2018 J jnl
A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification.
CoRR
Ke Ren, Haichuan Yang, Yu Zhao, Mingshan Xue, Hongyu Miao, Shuai Huang, Ji Liu
2017 J jnl
A Novel Embedding Model for Relation Prediction in Recommendation Systems.
IEICE Trans. Inf. Syst.
Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo
2017 J jnl
Zero-Shot Embedding for Unseen Entities in Knowledge Graph.
IEICE Trans. Inf. Syst.
Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo
2016 J jnl
A Novel Multimodal Deep Neural Network Framework for Extending Knowledge Base.
Computación y Sistemas
Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo
2015 J jnl
Knowledge base completion by learning pairwise-interaction differentiated embeddings.
Data Min. Knowl. Discov.
Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo