Mankun Zhao

Orcid: 0000-0003-1571-8771

According to our database1, Mankun Zhao authored at least 57 papers between 2013 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
EHPR: Learning evolutionary hierarchy perception representation based on quaternion for temporal knowledge graph completion.
Inf. Sci., 2025

2024
Reliable Data Augmented Contrastive Learning for Sequential Recommendation.
IEEE Trans. Big Data, December, 2024

Learning Neighbor User Intention on User-Item Interaction Graphs for Better Sequential Recommendation.
ACM Trans. Web, May, 2024

CLINER: exploring task-relevant features and label semantic for few-shot named entity recognition.
Neural Comput. Appl., 2024

IDSV-GCN: Integrating Dual Syntactic Views Graph Convolutional Network for aspect-based sentiment analysis.
Knowl. Based Syst., 2024

TELS: Learning time-evolving information and latent semantics using dual quaternion for temporal knowledge graph completion.
Knowl. Based Syst., 2024

Global Heterogeneous Graph and Target Interest Denoising for Multi-behavior Sequential Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Graph Attention Network with Relational Dynamic Factual Fusion for Knowledge Graph Completion.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Two-Stage Knowledge Graph Completion Based on Semantic Features and High-Order Structural Features.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

A Causal View for Multi-Interest User Modeling in News Recommendation.
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

Global Context Enhanced Multi-granularity Intent Networks for Session-Based Recommendation.
Proceedings of the Knowledge Science, Engineering and Management, 2024

Debiasing Recommenders Through Personalized Popularity-Aware Margins.
Proceedings of the IEEE International Conference on Acoustics, 2024

DSPrompt: Prompt Learning with Relation Abstraction and Context Injection for Distant Supervised Relation Extraction.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

AttFGCN: A GCN-Based Method Using Attention Flow for Knowledge Graph Completion.
Proceedings of the Database Systems for Advanced Applications, 2024

Sentence-level Distant Supervision Relation Extraction based on Dynamic Soft Labels.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023
SEPAKE: a structure-enhanced and position-aware knowledge embedding framework for knowledge graph completion.
Appl. Intell., October, 2023

A structure-enhanced generative adversarial network for knowledge graph zero-shot relational learning.
Inf. Sci., June, 2023

Semantic piecewise convolutional neural network with adaptive negative training for distantly supervised relation extraction.
Neurocomputing, June, 2023

Prototypical attention network for few-shot relation classification with entity-aware embedding module.
Appl. Intell., May, 2023

BDRI: block decomposition based on relational interaction for knowledge graph completion.
Data Min. Knowl. Discov., March, 2023

TBDRI: block decomposition based on relational interaction for temporal knowledge graph completion.
Appl. Intell., March, 2023

Gated graph convolutional network with enhanced representation and joint attention for distant supervised heterogeneous relation extraction.
World Wide Web (WWW), January, 2023

Knowledge graph completion using topological correlation and multi-perspective independence.
Knowl. Based Syst., 2023

Multi-Intention Oriented Contrastive Learning for Sequential Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Hypergraph Enhanced Contrastive Learning for News Recommendation.
Proceedings of the Knowledge Science, Engineering and Management, 2023

Combination of Translation and Rotation in Dual Quaternion Space for Temporal Knowledge Graph Completion.
Proceedings of the International Joint Conference on Neural Networks, 2023

MASZSL: A Multi-Block Attention-Based Description Generative Adversarial Network for Knowledge Graph Zero-Shot Relational Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023

Adversarial Domain Adaptation Network with Enhanced Feature Discriminability for Thyroid Ultrasound Images.
Proceedings of the International Joint Conference on Neural Networks, 2023

Knowledge Graph Recommendation based on Structural Semantics and Collaborative Semantics.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Multi-view Contrastive Learning for Knowledge-Aware Recommendation.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

An Unsupervised Domain Adaptive Network Based on Category Prototype Alignment for Medical Image Segmentation.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Graph Contrastive Learning with Adaptive Augmentation for Knowledge Concept Recommendation.
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

2022
HAPZSL: A hybrid attention prototype network for knowledge graph zero-shot relational learning.
Neurocomputing, 2022

Knowledge Graph Embedding with Direct and Disentangled Neighborhood Representation Attention Network.
Proceedings of the Knowledge Science, Engineering and Management, 2022

Text-Enhanced and Relational Context Based Hyperbolic Knowledge Graph Embedding.
Proceedings of the Knowledge Science, Engineering and Management, 2022

Multi-Grained Fusion Graph Neural Networks for Sequential Recommendation.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

BPMCF: Behavior Preference Mapping Collaborative Filtering for Multi-behavior Recommendation.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

CAANet: CAM-guided Adaptive Attention Network for Weakly Supervised Semantic Segmentation of Thyroid Nodules.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2020
GFEN: Graph Feature Extract Network for Click-Through Rate Prediction.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Multi-level Feature Extraction in Time-Weighted Graphical Session-Based Recommendation.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Order-Aware Embedding Non-sampling Factorization Machines for Context-Aware Recommendation.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

BTDE: Block Term Decomposition Embedding for Link Prediction in Knowledge Graph.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Extraction and Portrait of Knowledge Points for Open Learning Resources.
Proceedings of the Web Information Systems and Applications, 2020

2019
LSTM-EFG for wind power forecasting based on sequential correlation features.
Future Gener. Comput. Syst., 2019

Paper Recommendation with Item-Level Collaborative Memory Network.
Proceedings of the Knowledge Science, Engineering and Management, 2019

Text-Enhanced Knowledge Representation Learning Based on Gated Convolutional Networks.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Text-Augmented Knowledge Representation Learning Based on Convolutional Network.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

RL4HIN: Representation Learning for Heterogeneous Information Networks.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
Analysis and Application of the Spatio-Temporal Feature in Wind Power Prediction.
Comput. Syst. Sci. Eng., 2018

Remote Sensing Image Segmentation by Combining Feature Enhanced with Fully Convolutional Network.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Thyroid Nodule Segmentation in Ultrasound Images Based on Cascaded Convolutional Neural Network.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Dual-Convolutional Enhanced Residual Network for Single Super-Resolution of Remote Sensing Images.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

A Knowledge Recommendation Algorithm Based on Time Migration.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

Fully Convolutional Networks for Ultrasound Image Segmentation of Thyroid Nodules.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

Product Recommendation Method Based on Sentiment Analysis.
Proceedings of the Web Information Systems and Applications, 2018

2014
Online hot topic detection from web news archive in short terms.
Proceedings of the 11th International Conference on Fuzzy Systems and Knowledge Discovery, 2014

2013
Damping Based Traffic Allocation in Wireless Machine-to-Machine Communications Networks.
Int. J. Distributed Sens. Networks, 2013


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