Xuewei Li
Orcid: 0000-0002-5330-7298Affiliations:
- 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 87 papers
between 2015 and 2024.
Collaborative distances:
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Bibliography
2024
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
TELS: Learning time-evolving information and latent semantics using dual quaternion for temporal knowledge graph completion.
Knowl. Based Syst., 2024
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
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
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Unmasking the Lurking: Malicious Behavior Detection for IoT Malware with Multi-label Classification.
Proceedings of the 25th ACM SIGPLAN/SIGBED International Conference on Languages, 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
Proceedings of the IEEE International Conference on Acoustics, 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
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
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
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
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
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
Proceedings of the Knowledge Science, Engineering and Management, 2022
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
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
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
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
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
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
Medical Biol. Eng. Comput., 2020
Future Gener. Comput. Syst., 2020
CoRR, 2020
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
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
IEEE Access, 2019
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
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019
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
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
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
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
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