Xueping Peng

Orcid: 0000-0002-8901-1472

According to our database1, Xueping Peng authored at least 57 papers between 2007 and 2024.

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

Timeline

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Bibliography

2024
Multiple Knowledge-Enhanced Meteorological Social Briefing Generation.
IEEE Trans. Comput. Soc. Syst., April, 2024

Medical Question Summarization with Entity-driven Contrastive Learning.
ACM Trans. Asian Low Resour. Lang. Inf. Process., April, 2024

Self-KT: Self-attentive Knowledge Tracing with Feature Fusion Pre-training in Online Education.
Proceedings of the International Joint Conference on Neural Networks, 2024

Extractive Medical Entity Disambiguation with Memory Mechanism and Memorized Entity Information.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Thinking the Importance of Patient's Chief Complaint in TCM Syndrome Differentiation.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Multi-Channel Hypergraph Network for Sequential Diagnosis Prediction in Healthcare.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Multi-view Contrastive Learning for Medical Question Summarization.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Medical Entity Disambiguation with Medical Mention Relation and Fine-grained Entity Knowledge.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Time-Series Representation Learning via Dual Reference Contrasting.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Claimsformer: Pretrained Transformer for Administrative Claims Data to Predict Chronic Conditions.
Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024

2023
Application of Social Sensors in Natural Disasters Emergency Management: A Review.
IEEE Trans. Comput. Soc. Syst., December, 2023

CNN autoencoders and LSTM-based reduced order model for student dropout prediction.
Neural Comput. Appl., October, 2023

Intensive Care Unit readmission prediction with correlation enhanced multi-task learning.
Comput. Electr. Eng., September, 2023

DuCL: Dual-stage contrastive learning framework for Chinese semantic textual matching.
Comput. Electr. Eng., March, 2023

An empirical study of next-basket recommendations.
CoRR, 2023

Medical Question Summarization with Entity-driven Contrastive Learning.
CoRR, 2023

News Recommendation via Jointly Modeling Event Matching and Style Matching.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Fusion of Dynamic Hypergraph and Clinical Event for Sequential Diagnosis Prediction.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Intention-Aware User Modeling for Personalized News Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2023

Soft Prompt Transfer for Zero-Shot and Few-Shot Learning in EHR Understanding.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Multi-level Transformer for Cancer Outcome Prediction in Large-Scale Claims Data.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
Multi-granularity interaction model based on pinyins and radicals for Chinese semantic matching.
World Wide Web, 2022

Aspect-Driven User Preference and News Representation Learning for News Recommendation.
IEEE Trans. Intell. Transp. Syst., 2022

Fusion of sequential visits and medical ontology for mortality prediction.
J. Biomed. Informatics, 2022

A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy.
Frontiers Neuroinformatics, 2022

P-ResUnet: Segmentation of brain tissue with Purified Residual Unet.
Comput. Biol. Medicine, 2022

Rethinking Adjacent Dependency in Session-Based Recommendations.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Word Sense Disambiguation Based on Memory Enhancement Mechanism.
Proceedings of the Knowledge Science, Engineering and Management, 2022

Chinese Sentence Matching with Multiple Alignments and Feature Augmentation.
Proceedings of the International Joint Conference on Neural Networks, 2022

Correlation Encoder-Decoder Model for Text Generation.
Proceedings of the International Joint Conference on Neural Networks, 2022

Multi-modal Intermediate Fusion Model for diagnosis prediction.
Proceedings of the ICIAI 2022: The 6th International Conference on Innovation in Artificial Intelligence, Guangzhou China, March 4, 2022

News Recommendation Via Multi-Interest News Sequence Modelling.
Proceedings of the IEEE International Conference on Acoustics, 2022

A Systematical Evaluation for Next-Basket Recommendation Algorithms.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Word Sense Disambiguation with Knowledge-Enhanced and Local Self-Attention-based Extractive Sense Comprehension.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Machine Teaching-Based Efficient Labelling for Cross-unit Healthcare Data Modelling.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

Predicting Outcomes for Cancer Patients with Transformer-Based Multi-task Learning.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

2021
MIMO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning.
CoRR, 2021

Chinese clinical named entity recognition based on stacked neural network.
Concurr. Comput. Pract. Exp., 2021

Readmission Prediction with Knowledge Graph Attention and RNN-Based Ordinary Differential Equations.
Proceedings of the Knowledge Science, Engineering and Management, 2021

Sequential Diagnosis Prediction with Transformer and Ontological Representation.
Proceedings of the IEEE International Conference on Data Mining, 2021

2020
Multichannel Deep Attention Neural Networks for the Classification of Autism Spectrum Disorder Using Neuroimaging and Personal Characteristic Data.
Complex., 2020

Self-attention Enhanced Patient Journey Understanding in Healthcare System.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
UTSP: User-Based Two-Step Recommendation With Popularity Normalization Towards Diversity and Novelty.
IEEE Access, 2019

Attentive Dual Embedding for Understanding Medical Concepts in Electronic Health Records.
Proceedings of the International Joint Conference on Neural Networks, 2019

ACO-RR: Ant Colony Optimization Ridge Regression in Reuse of Smart City System.
Proceedings of the Reuse in the Big Data Era, 2019

Temporal Self-Attention Network for Medical Concept Embedding.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Interactive Deep Metric Learning for Healthcare Cohort Discovery.
Proceedings of the Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, 2019

Prediction for Student Academic Performance Using SMNaive Bayes Model.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

2015
Discovering Sequential Rental Patterns by Fleet Tracking.
Proceedings of the Data Science - Second International Conference, 2015

2014
Enhanced web log based recommendation by personalized retrieval
PhD thesis, 2014

2012
Personalized Web Search Using Clickthrough Data and Web Page Rating.
J. Comput., 2012

Fine-grained Product Features Extraction and Categorization in Reviews Opinion Mining.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011
News topic detection based on hierarchical clustering and named entity.
Proceedings of the 7th International Conference on Natural Language Processing and Knowledge Engineering, 2011

A Discretization Algorithm of Numerical Attributes for Digital Library Evaluation Based on Data Mining Technology.
Proceedings of the Digital Libraries: For Cultural Heritage, Knowledge Dissemination, and Future Creation, 2011

2009
Query Expansion Based on Query Log and Small World Characteristic.
Proceedings of the Web Information Systems Engineering, 2009

2007
The Research of the Personalization.
Proceedings of the 2007 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2007


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