Mei Yu

Orcid: 0000-0002-5169-4829

Affiliations:
  • Tianjin University, College of Intelligence and Computing, Tianjin, China
  • Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, China
  • Tianjin Key Laboratory of Advanced Networking (TANKLab), Tianjin, China


According to our database1, Mei Yu authored at least 108 papers between 2010 and 2025.

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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

Spatio-temporal graph cross-correlation auto-encoding network for wind power prediction.
Int. J. Mach. Learn. Cybern., January, 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

ZSDT: Zero-shot domain translation for real-world super-resolution.
Image Vis. Comput., 2024

Local and Long-range Convolutional LSTM Network: A novel multi-step wind speed prediction approach for modeling local and long-range spatial correlations based on ConvLSTM.
Eng. Appl. Artif. Intell., 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

Unsupervised Domain Adaptation Semantic Segmentation on Thyroid Ultrasound Images Based on Task-Oriented Feature Disentanglement.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Area Intervention for Enhancing Class Activation Maps in Weakly Supervised Semantic Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Multi-Level Augmentation Consistency Learning and Sample Selection for Semi-Supervised Domain Generalization.
Proceedings of the IEEE International Conference on Acoustics, 2024

DualGCN-MIL: Whole Slide Image Classification Based on Double Relationship Graph Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024

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

Uncertainty-Guided Dual Task Framework for Semi-Supervised Segmentation of Thyroid Nodules.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 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

Pixel-wise Reclassification with Prototypes for Enhancing Weakly Supervised Semantic Segmentation.
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

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

Time series cross-correlation network for wind power prediction.
Appl. Intell., May, 2023

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

RFI-GAN: A reference-guided fuzzy integral network for ultrasound image augmentation.
Inf. Sci., April, 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

Windformer: Bi-Directional Long-Distance Spatio-Temporal Network For Wind Speed Prediction.
CoRR, 2023

Ultrasound Image Segmentation of Thyroid Nodule via Latent Semantic Feature Co-Registration.
CoRR, 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

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

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

An Ultra-short-Term Wind Speed Prediction Method Based on Spatio-Temporal Feature Decomposition and Multi Feature Fusion Network.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

IntrNet: Weakly Supervised Segmentation of Thyroid Nodules Based on Intra-image and Inter-image Semantic Information.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Two-Stream Joint-Training for Speaker Independent Acoustic-to-Articulatory Inversion.
Proceedings of the IEEE International Conference on Acoustics, 2023

Region-Specific Prototype Customization for Weakly Supervised Semantic Segmentation.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 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

Implicit Feature Augmentation with Feature Transfer For Class-Imbalanced Medical Image Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
A Progressive Generative Adversarial Method for Structurally Inadequate Medical Image Data Augmentation.
IEEE J. Biomed. Health Informatics, 2022

Dynamic sample weighting for weakly supervised object detection.
Image Vis. Comput., 2022

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

FBCU-Net: A fine-grained context modeling network using boundary semantic features for medical image segmentation.
Comput. Biol. Medicine, 2022

Adaptive soft erasure with edge self-attention for weakly supervised semantic segmentation: Thyroid ultrasound image case study.
Comput. Biol. Medicine, 2022

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

Convolve with Wind: Parallelized Line Integral Convolutional Network for Ultra Short-term Wind Power Prediction of Multi-wind Turbines.
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

MVNet: Memory Assistance and Vocal Reinforcement Network for Speech Enhancement.
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

2021
Cross-Modal Knowledge Distillation Method for Automatic Cued Speech Recognition.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

An Attention Self-Supervised Contrastive Learning Based Three-Stage Model for Hand Shape Feature Representation in Cued Speech.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

EDGE Enhancement Network for Weakly Supervised Semantic Segmentation.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

SSE: Scale-adaptive Soft Erase Weakly Supervised Segmentation Network for Thyroid Ultrasound Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Border Sensitive Network in Weakly Supervised Thyroid Nodule Detection for Ultrasound Image.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Cascade marker removal algorithm for thyroid ultrasound images.
Medical Biol. Eng. Comput., 2020

Superposition Graph Neural Network for offshore wind power prediction.
Future Gener. Comput. Syst., 2020

Attention-Based Dense Decoding Network for Monocular Depth Estimation.
IEEE Access, 2020

Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition.
Proceedings of the 25th International Conference on Pattern Recognition, 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

Generative Adversarial Network Using Multi-modal Guidance for Ultrasound Images Inpainting.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Multi-scale Object Detection in Optical Remote Sensing Images Using Atrous Feature Pyramid Network.
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

Boundary-aware Segmentation Network Using Multi-Task Enhancement for Ultrasound Image.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Tumor Classification Based on Approximate Symmetry Using Dual-Branch Complementary Fusion Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

MSDAN: Multi-Scale Self-Attention Unsupervised Domain Adaptation Network for Thyroid Ultrasound Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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

Parallelizing discrete geodesic algorithms with perfect efficiency.
Comput. Aided Des., 2019

A Feedback Attention Network for Classification and Visualization of Thyroid Nodules on Ultrasound Images.
Aust. J. Intell. Inf. Process. Syst., 2019

Multi-Attention Object Detection Model in Remote Sensing Images Based on Multi-Scale.
IEEE Access, 2019

Nonuniform Node Distribution using Adaptive Poisson Disk for Wireless Sensor Networks.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 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

Energy-Efficient Admission of Delay-Sensitive Tasks for Multi-Mobile Edge Computing Servers.
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

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

A Wind Power Prediction Method Based on Deep Convolutional Network with Multiple Features.
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

An Attention-based Semi-supervised Neural Network for Thyroid Nodules Segmentation.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Blind Image Inpainting Using Pyramid GAN on Thyroid Ultrasound Images.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Internet of Things security and privacy-preserving method through nodes differentiation, concrete cluster centers, multi-signature, and blockchain.
Int. J. Distributed Sens. Networks, 2018

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

Scene Learning: Deep Convolutional Networks For Wind Power Prediction by Embedding Turbines into Grid Space.
CoRR, 2018

The Research of Spam Web Page Detection Method Based on Web Page Differentiation and Concrete Cluster Centers.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2018

Research on Hot Micro-blog Forecast Based on XGBOOST and Random Forest.
Proceedings of the Knowledge Science, Engineering and Management, 2018

Three-Dimensional Joint Geometric-Physiologic Feature for Lip-Reading.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Thyroid Nodule Segmentation in Ultrasound Images Based on Cascaded Convolutional Neural Network.
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

A Large-Scale Depth-Based Multimodal Audio-Visual Corpus in Mandarin.
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

2017
Authentication With Block-Chain Algorithm and Text Encryption Protocol in Calculation of Social Network.
IEEE Access, 2017

Communities Mining and Recommendation for Large-Scale Mobile Social Networks.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2017

2014
Stackelberg Game for Bandwidth Allocation in Cloud-Based Wireless Live-Streaming Social Networks.
IEEE Syst. J., 2014

Design of SOAML in Social Network.
J. Softw., 2014

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

A K-anonymity model with strongly identifiable attributes.
Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013

2012
Trust-aware query routing in P2P social networks.
Int. J. Commun. Syst., 2012

2010
Semantic-based query routing in P2P social networks.
Proceedings of the IEEE International Conference on Wireless Communications, 2010

Community-based trust mechanism in P2P social networks.
Proceedings of the IEEE International Conference on Wireless Communications, 2010


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