Xuewei Li

Orcid: 0000-0002-5330-7298

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


According to our database1, Xuewei Li authored at least 74 papers between 2015 and 2024.

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Bibliography

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

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

ATTransUNet: An enhanced hybrid transformer architecture for ultrasound and histopathology image segmentation.
Comput. Biol. Medicine, 2023

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

A Prior-Guided Generative Adversarial Net for Semantically Strict Ultrasound Images Augmentation.
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

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

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

Feature discretization-based deep clustering for thyroid ultrasound image feature extraction.
Comput. Biol. Medicine, 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

StyleDisentangle: Disentangled Image Editing Based on StyleGAN2.
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 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

MVNet: Memory Assistance and Vocal Reinforcement Network for Speech Enhancement.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

IDPL: Intra-subdomain Adaptation Adversarial Learning Segmentation Method Based on Dynamic Pseudo Labels.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Residual-Guided Personalized Speech Synthesis based on Face Image.
Proceedings of the IEEE International Conference on Acoustics, 2022

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

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

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

Self-Supervised Depth Estimation Via Implicit Cues from Videos.
Proceedings of the IEEE International Conference on Acoustics, 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

Self-Supervised Joint Learning Framework of Depth Estimation via Implicit Cues.
CoRR, 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

2019
Evolutionary clustering via graph regularized nonnegative matrix factorization for exploring temporal networks.
Knowl. Based Syst., 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

An Empirical Study on High-Risk Driving Behavior to Urban-Scale Pattern in China.
IEEE Access, 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

A Node Rating Based Sharding Scheme for Blockchain.
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
Scene Learning: Deep Convolutional Networks For Wind Power Prediction by Embedding Turbines into Grid Space.
CoRR, 2018

Localization of Thyroid Nodules in Ultrasonic Images.
Proceedings of the Wireless Algorithms, Systems, and Applications, 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

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

2015
Semi-supervised Community Detection Framework Based on Non-negative Factorization Using Individual Labels.
Proceedings of the Advances in Swarm and Computational Intelligence, 2015


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