Jiangtao Ren

Orcid: 0000-0003-2827-8322

According to our database1, Jiangtao Ren authored at least 61 papers between 2005 and 2024.

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

Timeline

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Bibliography

2024
Interpretable multidisease diagnosis and label noise detection based on a matching network and self-paced learning.
Pattern Recognit., April, 2024

2023
Multi Self-supervised Pre-fine-tuned Transformer Fusion for Better Intelligent Transportation Detection.
CoRR, 2023

Road Disease Detection based on Latent Domain Background Feature Separation and Suppression.
CoRR, 2023

MFL-YOLO: An Object Detection Model for Damaged Traffic Signs.
CoRR, 2023

Integrating GAN and Texture Synthesis for Enhanced Road Damage Detection.
CoRR, 2023

Differential diagnosis of secondary hypertension based on deep learning.
Artif. Intell. Medicine, 2023

2021
Label-Embedding Bi-directional Attentive Model for Multi-label Text Classification.
Neural Process. Lett., 2021

KB-QA based on multi-task learning and negative sample generation.
Inf. Sci., 2021

Numerical Feature Transformation-based Sequence Generation Model for Multi-disease Diagnosis.
Int. J. Pattern Recognit. Artif. Intell., 2021

Summary-aware attention for social media short text abstractive summarization.
Neurocomputing, 2021

Causality extraction based on self-attentive BiLSTM-CRF with transferred embeddings.
Neurocomputing, 2021

Multi-label text classification with latent word-wise label information.
Appl. Intell., 2021

2020
Fine-tuning ERNIE for chest abnormal imaging signs extraction.
J. Biomed. Informatics, 2020

Clinical questionnaire filling based on question answering framework.
Int. J. Medical Informatics, 2020

An integrated framework of deep learning and knowledge graph for prediction of stock price trend: An application in Chinese stock exchange market.
Appl. Soft Comput., 2020

Hospital readmission prediction based on long-term and short-term information fusion.
Appl. Soft Comput., 2020

Automated ICD-10 code assignment of nonstandard diagnoses via a two-stage framework.
Artif. Intell. Medicine, 2020

Event Extraction via Extracting Triggers and Arguments Simultaneously and Matching.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Enhancing Question Answering over Knowledge Base Using Dynamical Relation Reasoning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Sequence Prediction Model for Aspect-Level Sentiment Classification.
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

Label Correction Model for Aspect-based Sentiment Analysis.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Standard Deviation Based Adaptive Gradient Compression For Distributed Deep Learning.
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

2019
Chinese clinical named entity recognition with radical-level feature and self-attention mechanism.
J. Biomed. Informatics, 2019

Gated recurrent neural network with sentimental relations for sentiment classification.
Inf. Sci., 2019

A topic-driven language model for learning to generate diverse sentences.
Neurocomputing, 2019

Financial news recommendation based on graph embeddings.
Decis. Support Syst., 2019

Paraphrase Generation with Collaboration between the Forward and the Backward Decoder.
Proceedings of the International Joint Conference on Neural Networks, 2019

Abstractive Summarization with Keyword and Generated Word Attention.
Proceedings of the International Joint Conference on Neural Networks, 2019

GLSE: Global-Local Selective Encoding for Response Generation in Neural Conversation Model.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Aspect-Based Sentiment Analysis with Adjustments to Irrelevant Sentimental-Related Features.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Short Text Embedding for Clustering Based on Word and Topic Semantic Information.
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

Semi-supervised learning for classification on Chinese drug treatment questions.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Automatic ICD code assignment utilizing textual descriptions and hierarchical structure of ICD code.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Supervised Dirichlet Process Mixtures of Principal Component Analysis.
Neurocomputing, 2018

T2S: An Encoder-Decoder Model for Topic-Based Natural Language Generation.
Proceedings of the Natural Language Processing and Information Systems, 2018

A Self-Attentive Hierarchical Model for Jointly Improving Text Summarization and Sentiment Classification.
Proceedings of The 10th Asian Conference on Machine Learning, 2018

2017
Forum latent Dirichlet allocation for user interest discovery.
Knowl. Based Syst., 2017

An Improved PLDA Model for Short Text.
Proceedings of the Natural Language Processing and Information Systems, 2017

Efficient OD Trip Matrix Prediction Based on Tensor Decomposition.
Proceedings of the 18th IEEE International Conference on Mobile Data Management, 2017

2014
Coding modes-based frame skip avoidance scheme for low bit rate video coding.
J. Real Time Image Process., 2014

An Infinite Latent Generalized Linear Model.
Proceedings of the Web-Age Information Management - 15th International Conference, 2014

Domain Transfer via Multiple Sources Regularization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Min-hash sketch construction via nonparametric clustering.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

2013
GCBN: A Hybrid Spatio-temporal Causal Model for Traffic Analysis and Prediction.
Proceedings of the Web-Age Information Management - 14th International Conference, 2013

2012
Domain Transfer Dimensionality Reduction via Discriminant Kernel Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

2011
Eigenvector Sensitive Feature Selection for Spectral Clustering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Eigenvalue Sensitive Feature Selection.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
Generalized and Heuristic-Free Feature Construction for Improved Accuracy.
Proceedings of the SIAM International Conference on Data Mining, 2010

Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Efficient and Numerically Stable Sparse Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Multiple Kernel Learning Improved by MMD.
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

2009
Latent space domain transfer between high dimensional overlapping distributions.
Proceedings of the 18th International Conference on World Wide Web, 2009

Universal Learning over Related Distributions and Adaptive Graph Transduction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Relaxed Transfer of Different Classes via Spectral Partition.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Cross domain distribution adaptation via kernel mapping.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Naive Bayes Classification of Uncertain Data.
Proceedings of the ICDM 2009, 2009

2008
Type-Independent Correction of Sample Selection Bias via Structural Discovery and Re-balancing.
Proceedings of the SIAM International Conference on Data Mining, 2008

Actively Transfer Domain Knowledge.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Forward Semi-supervised Feature Selection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Graph-Based Iterative Hybrid Feature Selection.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2005
High-Dimensional Shared Nearest Neighbor Clustering Algorithm.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005


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