Knowledge base completion by learning pairwise-interaction differentiated embeddings. - Yu Zhao 019; Sheng Gao 001; Patrick Gallinari; Jun Guo 002 (Data Min. Knowl. Discov., 2015)

A Novel Multimodal Deep Neural Network Framework for Extending Knowledge Base. - Yu Zhao 019; Sheng Gao 001; Patrick Gallinari; Jun Guo 002 (Computación y Sistemas, 2016)

A Novel Embedding Model for Relation Prediction in Recommendation Systems. - Yu Zhao 019; Sheng Gao 001; Patrick Gallinari; Jun Guo 002 (IEICE Trans. Inf. Syst., 2017)

Zero-Shot Embedding for Unseen Entities in Knowledge Graph. - Yu Zhao 019; Sheng Gao 001; Patrick Gallinari; Jun Guo 002 (IEICE Trans. Inf. Syst., 2017)

A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification. - Ke Ren; Haichuan Yang; Yu Zhao 019; Mingshan Xue; Hongyu Miao 001; Shuai Huang 001; Ji Liu 002 (CoRR, 2018)

Embedding Learning with Triple Trustiness on Noisy Knowledge Graph. - Yu Zhao 019; Huali Feng; Patrick Gallinari (Entropy, 2019)

A Robust AUC Maximization Framework With Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification. - Ke Ren; Haichuan Yang; Yu Zhao 019; Wu Chen; Mingshan Xue; Hongyu Miao 001; Shuai Huang 001; Ji Liu 002 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Connecting Embeddings for Knowledge Graph Entity Typing. - Yu Zhao 019; Anxiang Zhang; Ruobing Xie; Kang Liu; Xiaojie Wang (ACL, 2020)

Knowledge graph entity typing via learning connecting embeddings. - Yu Zhao 019; Anxiang Zhang; Huali Feng; Qing Li 005; Patrick Gallinari; Fuji Ren (Knowl. Based Syst., 2020)

Incorporating Global Information in Local Attention for Knowledge Representation Learning. - Yu Zhao 019; Han Zhou 008; Ruobing Xie; Fuzhen Zhuang; Qing Li 005; Ji Liu 002 (ACL/IJCNLP (Findings), 2021)

Confidence-Aware Embedding for Knowledge Graph Entity Typing. - Yu Zhao 019; Jiayue Hou; Zongjian Yu; Yun Zhang; Qing Li 005 (Complex., 2021)

Deep Keyphrase Completion. - Yu Zhao 019; Jia Song 003; Huali Feng; Fuzhen Zhuang; Qing Li 005; Xiaojie Wang; Ji Liu 002 (CoRR, 2021)

Dual Hierarchical Attention Networks for Bi-typed Heterogeneous Graph Learning. - Yu Zhao 019; Shaopeng Wei 002; Huaming Du; Xingyan Chen; Qing Li 005; Fuzhen Zhuang; Ji Liu 002; Gang Kou (CoRR, 2021)

Learning entity type structured embeddings with trustworthiness on noisy knowledge graphs. - Yu Zhao 019; Zhiquan Li; Wei Deng 003; Ruobing Xie; Qing Li 005 (Knowl. Based Syst., 2021)

CoLive: An Edge-Assisted Online Learning Framework for Viewport Prediction in 360° Live Streaming. - Mu Wang; Shuai Peng; Xingyan Chen; Yu Zhao 019; Mingwei Xu; Changqiao Xu (ICME, 2022)

Improving biomedical named entity recognition by dynamic caching inter-sentence information. - Yiqi Tong; Fuzhen Zhuang; Huajie Zhang; Chuyu Fang; Yu Zhao 019; Deqing Wang; Hengshu Zhu; Bin Ni (Bioinform., 2022)

Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks. - Yu Zhao 019; Huaming Du; Ying Liu; Shaopeng Wei 002; Xingyan Chen; Fuzhen Zhuang; Qing Li 005; Ji Liu 002; Gang Kou (CoRR, 2022)

Bankruptcy Prediction via Mixing Intra-Risk and Spillover-Risk. - Yu Zhao 019; Shaopeng Wei 002; Yu Guo; Qing Yang; Qing Li 005; Fuzhen Zhuang; Ji Liu 002; Gang Kou (CoRR, 2022)

AWTE-BERT: Attending to Wordpiece Tokenization Explicitly on BERT for Joint Intent Classification and SlotFilling. - Yu Guo; Zhilong Xie; Xingyan Chen; Leilei Wang; Yu Zhao 019; Gang Wu (CoRR, 2022)

A Comprehensive Survey on Enterprise Financial Risk Analysis: Problems, Methods, Spotlights and Applications. - Yu Zhao 019; Huaming Du (CoRR, 2022)

Graph Learning: A Comprehensive Survey and Future Directions. - Shaopeng Wei 002; Yu Zhao 019 (CoRR, 2022)

Learning from Knowledge Graphs: Neural Fine-Grained Entity Typing with Copy-Generation Networks. - Zongjian Yu; Anxiang Zhang; Huali Feng; Huaming Du; Shaopeng Wei 002; Yu Zhao 019 (Entropy, 2022)

EIGAT: Incorporating global information in local attention for knowledge representation learning. - Yu Zhao 019; Huali Feng; Han Zhou 008; Yanruo Yang; Xingyan Chen; Ruobing Xie; Fuzhen Zhuang; Qing Li 005 (Knowl. Based Syst., 2022)

Multi-granularity heterogeneous graph attention networks for extractive document summarization. - Yu Zhao 019; Leilei Wang; Cui Wang; Huaming Du; Shaopeng Wei 002; Huali Feng; Zongjian Yu; Qing Li 005 (Neural Networks, 2022)

Taming Gradient Variance in Federated Learning with Networked Control Variates. - Xingyan Chen; Yaling Liu; Huaming Du; Mu Wang; Yu Zhao 019 (CoRR, 2023)

FedLive: A Federated Transmission Framework for Panoramic Livecast With Reinforced Variational Inference. - Xingyan Chen; Mu Wang; Changqiao Xu; Yu Zhao 019; Shujie Yang; Ke Jiang; Qing Li 005; Lujie Zhong; Gabriel-Miro Muntean (IEEE Trans. Multim., 2023)

Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity Typing. - Yu Zhao 019; Han Zhou 008; Anxiang Zhang; Ruobing Xie; Qing Li 005; Fuzhen Zhuang (IEEE Trans. Knowl. Data Eng., 2023)

Stock Movement Prediction Based on Bi-Typed Hybrid-Relational Market Knowledge Graph via Dual Attention Networks. - Yu Zhao 019; Huaming Du; Ying Liu; Shaopeng Wei 002; Xingyan Chen; Fuzhen Zhuang; Qing Li 005; Gang Kou (IEEE Trans. Knowl. Data Eng., 2023)

A Multi-User Cost-Efficient Crowd-Assisted VR Content Delivery Solution in 5G-and-Beyond Heterogeneous Networks. - Lujie Zhong; Xingyan Chen; Changqiao Xu; Yunxiao Ma; Mu Wang; Yu Zhao 019; Gabriel-Miro Muntean (IEEE Trans. Mob. Comput., 2023)

Learning Bi-Typed Multi-Relational Heterogeneous Graph Via Dual Hierarchical Attention Networks. - Yu Zhao 019; Shaopeng Wei 002; Huaming Du; Xingyan Chen; Qing Li 005; Fuzhen Zhuang; Ji Liu 002; Gang Kou (IEEE Trans. Knowl. Data Eng., 2023)

Representation Learning of Temporal Graphs with Structural Roles. - Huaming Du; Long Shi 002; Xingyan Chen; Yu Zhao 019; Hegui Zhang; Carl Yang 001; Fuzhen Zhuang; Gang Kou (KDD, 2024)

Nonlinear subspace clustering by functional link neural networks. - Long Shi 002; Lei Cao; Zhongpu Chen; Yu Zhao 019; Badong Chen (Appl. Soft Comput., 2024)

Tensor-based Graph Learning with Consistency and Specificity for Multi-view Clustering. - Long Shi 002; Lei Cao; Yunshan Ye; Yu Zhao 019; Badong Chen (CoRR, 2024)

Graph Dimension Attention Networks for Enterprise Credit Assessment. - Shaopeng Wei 002; Beni Egressy; Xingyan Chen; Yu Zhao 019; Fuzhen Zhuang; Roger Wattenhofer; Gang Kou (CoRR, 2024)

ESIE-BERT: Enriching sub-words information explicitly with BERT for intent classification and slot filling. - Yu Guo; Zhilong Xie; Xingyan Chen; Huangen Chen; Leilei Wang; Huaming Du; Shaopeng Wei 002; Yu Zhao 019; Qing Li 005; Gang Wu (Neurocomputing, 2024)

CoLive: Edge-Assisted Clustered Learning Framework for Viewport Prediction in 360$^{ circ }$ Live Streaming. - Mu Wang; Xingyan Chen; Xu Yang; Shuai Peng; Yu Zhao 019; Mingwei Xu; Changqiao Xu (IEEE Trans. Multim., 2024)

FinKENet: A Novel Financial Knowledge Enhanced Network for Financial Question Matching. - Yu Guo; Ting Liang; Zhongpu Chen; Binchen Yang; Jun Wang; Yu Zhao 019 (Entropy, 2024)

Combining intra-risk and contagion risk for enterprise bankruptcy prediction using graph neural networks. - Shaopeng Wei 002; Jia Lv; Yu Guo; Qing Yang; Xingyan Chen; Yu Zhao 019; Qing Li 005; Fuzhen Zhuang; Gang Kou (Inf. Sci., 2024)

DKPE: Deep KeyPhrase Expansion. - Huaming Du; Zhilong Xie; Jia Song 003; Yaoxing Yuan; Jiacan Li; Xingyan Chen; Huangen Chen; Yu Zhao 019; Fuzhen Zhuang; Qing Li 005 (Neurocomputing, 2024)

Temporal Knowledge Graph Reasoning With Dynamic Memory Enhancement. - Fuwei Zhang; Zhao Zhang 011; Fuzhen Zhuang; Yu Zhao 019; Deqing Wang; Hongwei Zheng 007 (IEEE Trans. Knowl. Data Eng., 2024)

MDEval: Evaluating and Enhancing Markdown Awareness in Large Language Models. - Zhongpu Chen; Yinfeng Liu; Long Shi 002; Zhi-Jie Wang 009; Xingyan Chen; Yu Zhao 019; Fuji Ren (WWW, 2025)

Unified and efficient multi-view clustering with tensorized bipartite graph. - Lei Cao; Zhenzhu Chen; Chuanqing Tang; Junyu Chen; Huaming Du; Yu Zhao 019; Qing Li 005; Long Shi 002 (Expert Syst. Appl., 2025)

A Novel Adaptive $360^{ circ }$360∘ Livestreaming With Graph Representation Learning Based FoV Prediction. - Xingyan Chen; Huaming Du; Mu Wang; Yu Zhao 019; Xiaoyang Shu; Changqiao Xu; Gabriel-Miro Muntean (IEEE Trans. Emerg. Top. Comput., 2025)

Identifying Evidence Subgraphs for Financial Risk Detection via Graph Counterfactual and Factual Reasoning. - Huaming Du; Lei Yuan; Qing Yang; Xingyan Chen; Yu Zhao 019; Han Ji; Fuzhen Zhuang; Carl Yang 001; Gang Kou (CoRR, 2025)

Towards Optimal Customized Architecture for Heterogeneous Federated Learning With Contrastive Cloud-Edge Model Decoupling. - Xingyan Chen; Tian Du; Mu Wang; Tiancheng Gu; Yu Zhao 019; Gang Kou; Changqiao Xu; Dapeng Oliver Wu (IEEE Trans. Computers, 2025)