Junfei Liu

Orcid: 0009-0001-3806-6844

According to our database1, Junfei Liu authored at least 53 papers between 2009 and 2024.

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Bibliography

2024
Adaptive semi-supervised learning from stronger augmentation transformations of discrete text information.
Knowl. Inf. Syst., August, 2024

ConFit: Contrastive Fine-Tuning of Text-to-Text Transformer for Relation Classification.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

ExpoGenius: Robust Personalized Human Image Generation using Diffusion Model for Exposure Variation and Pose Transfer.
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

PGDM: Multimodal Panoramic Image Generation with Diffusion Models.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Iterative Autoregressive Generation for Abstractive Summarization.
Proceedings of the IEEE International Conference on Acoustics, 2024

Alleviating Hallucinations Via Supportive Window Indexing in Abstractive Summarization.
Proceedings of the IEEE International Conference on Acoustics, 2024

Causal Dataset Discovery with Large Language Models.
Proceedings of the 2024 Workshop on Human-In-the-Loop Data Analytics, 2024

Prophecy Distillation for Boosting Abstractive Summarization.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Alleviating Exposure Bias in Abstractive Summarization via Sequentially Generating and Revising.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Graph Enhanced Transformer for Aspect Category Detection.
J. Comput. Sci. Technol., June, 2023

A Residual Neural Network Integrated with a Hydrological Model for Global Flood Susceptibility Mapping Based on Remote Sensing Datasets.
Remote. Sens., May, 2023

The pathological significance and potential mechanism of ARHGEF6 in lung adenocarcinoma.
Comput. Biol. Medicine, May, 2023

CopiFilter: An Auxiliary Module Adapts Pre-trained Transformers for Medical Dialogue Summarization.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Adaptively Multi-Objective Adversarial Training for Medical Image Report Generation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Adversarial Training with Comprehensive Objective for Medical Image Report Generation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Adaptive Semi-Supervised Learning from Stronger Augmented Transformations of Medical Texts.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

A Factual Aware Two-Stage Model for Medical Dialogue Summarization.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Towards Efficient Medical Dialogue Summarization with Compacting-Abstractive Model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

MVP: Optimizing Multi-view Prompts for Medical Dialogue Summarization.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Handling negative samples problems in span-based nested named entity recognition.
Neurocomputing, 2022

Densely-connected neural networks for aspect term extraction.
Sci. China Inf. Sci., 2022

A Gaussian Mixture Model for Dialogue Generation with Dynamic Parameter Sharing Strategy.
Proceedings of the IEEE International Conference on Acoustics, 2022

Curriculum Contrastive Learning for COVID-19 FAQ Retrieval.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Intent-aware Prompt Learning for Medical Question Summarization.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Learning with joint cross-document information via multi-task learning for named entity recognition.
Inf. Sci., 2021

MedAI at SemEval-2021 Task 5: Start-to-end Tagging Framework for Toxic Spans Detection.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

Combining Curriculum Learning and Knowledge Distillation for Dialogue Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Drug-Drug Interaction Extraction via Attentive Capsule Network with an Improved Sliding-Margin Loss.
Proceedings of the Database Systems for Advanced Applications, 2021

Span-Based Nested Named Entity Recognition with Pretrained Language Model.
Proceedings of the Database Systems for Advanced Applications, 2021

Cycle or Minkowski: Which is More Appropriate for Knowledge Graph Embedding?
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Knowledge Graph Representation Learning as Groupoid: Unifying TransE, RotatE, QuatE, ComplEx.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Bidirectional Distillation for Multi-Guidance Medical Dialogue Generation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Knowledge Distillation with Metric Learning for Medical Dialogue Generation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Dynamic Curriculum Learning with Co-training for Medical Dialogue Generation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Knowledge-embodied attention for distantly supervised relation extraction.
Intell. Data Anal., 2020

A Usability Testing Comparing Two Mobile Phone Gimbals.
Proceedings of the Design, User Experience, and Usability. Design for Contemporary Interactive Environments, 2020

Learn with Noisy Data via Unsupervised Loss Correction for Weakly Supervised Reading Comprehension.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

TAGNet: Temporal Aware Graph Convolution Network for Clinical Information Extraction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

ClinicNet: Clinical Practice Oriented Medical Representation Learning for Electronic Medical Records.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Joint Cross-document Information for Named Entity Recognition with Multi-task Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Towards Bootstrapping Biomedical Named Entity Recognition using Reinforcement Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Multilingual Dialogue Generation with Shared-Private Memory.
CoRR, 2019

Knowledge-Aware and Retrieval-Based Models for Distantly Supervised Relation Extraction.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Multilingual Dialogue Generation with Shared-Private Memory.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Deep Learning Based Code Completion Models for Programming Codes.
Proceedings of the ISCSIC 2019: 3rd International Symposium on Computer Science and Intelligent Control, 2019

2018
Handling distributed XML queries over large XML data based on MapReduce framework.
Inf. Sci., 2018

2017
Weakly-Supervised Named Entity Extraction Using Word Representations.
Proceedings of the Database Systems for Advanced Applications, 2017

2016
Hybrid Artificial Root Foraging Optimizer Based Multilevel Threshold for Image Segmentation.
Comput. Intell. Neurosci., 2016

Distributed XPath query processing over large XML data based on MapReduce framework.
Proceedings of the 12th International Conference on Natural Computation, 2016

An Efficient Schema Matching Approach Using Previous Mapping Result Set.
Proceedings of the Database Systems for Advanced Applications, 2016

TwigStack-MR: An Approach to Distributed XML Twig Query Using MapReduce.
Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016

2010
Service-oriented Workflow Metamodel and System.
Proceedings of the International Conference on E-Business and E-Government, 2010

2009
TMBF: Bloom filter algorithms of time-dependent multi bit-strings for incremental set.
Proceedings of the International Conference on Ultra Modern Telecommunications, 2009


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