Bo Jin

Affiliations:
  • Dalian University of Technology, Dalian, China


According to our database1, Bo Jin authored at least 55 papers between 2007 and 2024.

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Bibliography

2024
NCH-DDA: Neighborhood contrastive learning heterogeneous network for drug-disease association prediction.
Expert Syst. Appl., March, 2024

2023
KAMPNet: multi-source medical knowledge augmented medication prediction network with multi-level graph contrastive learning.
BMC Medical Informatics Decis. Mak., December, 2023

IEA-GNN: Anchor-aware graph neural network fused with information entropy for node classification and link prediction.
Inf. Sci., July, 2023

Diagnostic Sparse Connectivity Networks With Regularization Template.
IEEE Trans. Knowl. Data Eng., 2023

Predicting Drug-Target Interaction Via Self-Supervised Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

CariesFG: A fine-grained RGB image classification framework with attention mechanism for dental caries.
Eng. Appl. Artif. Intell., 2023

Decentralised Biomedical Signal Classification using Early Exits.
Proceedings of the 21st IEEE Interregional NEWCAS Conference, 2023

Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
CFFNN: Cross Feature Fusion Neural Network for Collaborative Filtering.
IEEE Trans. Knowl. Data Eng., 2022

Prediction of Treatment Medicines With Dual Adaptive Sequential Networks.
IEEE Trans. Knowl. Data Eng., 2022

Domain-Aware Word Segmentation for Chinese Language: A Document-Level Context-Aware Model.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022

Bi-graph attention network for aspect category sentiment classification.
Knowl. Based Syst., 2022

KnowAugNet: Multi-Source Medical Knowledge Augmented Medication Prediction Network with Multi-Level Graph Contrastive Learning.
CoRR, 2022

DeepMGT-DTI: Transformer network incorporating multilayer graph information for Drug-Target interaction prediction.
Comput. Biol. Medicine, 2022

Medication Prediction Using Memory Augmented Heterogeneous Information Fusion Network.
Proceedings of the 8th International Conference on Big Data Computing and Communications, 2022

2021
Constrained transformer network for ECG signal processing and arrhythmia classification.
BMC Medical Informatics Decis. Mak., 2021

Enriching limited information on rare diseases from heterogeneous networks for drug repositioning.
BMC Medical Informatics Decis. Mak., 2021

MeSIN: Multilevel selective and interactive network for medication recommendation.
Knowl. Based Syst., 2021

Bi-DAINet: Bi-Directional Discard-Accept-Integrate Network for salient object detection.
Neurocomputing, 2021

Completely blind image quality assessment via contourlet energy statistics.
IET Image Process., 2021

EduHawkes: A Neural Hawkes Process Approach for Online Study Behavior Modeling.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

A Multi-view Confidence-calibrated Framework for Fair and Stable Graph Representation Learning.
Proceedings of the IEEE International Conference on Data Mining, 2021

A Doctor Recommendation Framework for Online Medical Platforms Using Multi-Source Heterogeneous Data.
Proceedings of the ICCAI '21: 2021 7th International Conference on Computing and Artificial Intelligence, Tianjin China, April 23, 2021

Aspect-Level Sentiment Classification of Chinese Patient Comments Based on Pre-trained Sentiment Embedding.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Unified Generative Adversarial Networks for Multiple-Choice Oriented Machine Comprehension.
ACM Trans. Intell. Syst. Technol., 2020

Multi-view reconstructive preserving embedding for dimension reduction.
Soft Comput., 2020

PASCAL: a pseudo cascade learning framework for breast cancer treatment entity normalization in Chinese clinical text.
BMC Medical Informatics Decis. Mak., 2020

RAHM: Relation augmented hierarchical multi-task learning framework for reasonable medication stocking.
J. Biomed. Informatics, 2020

Knowledge-driven drug repurposing using a comprehensive drug knowledge graph.
Health Informatics J., 2020

Contour-Aware Recurrent Cross Constraint Network for Salient Object Detection.
IEEE Access, 2020

Fast Sparse Connectivity Network Adaption via Meta-Learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Partial Relationship Aware Influence Diffusion via a Multi-channel Encoding Scheme for Social Recommendation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Exploring Multi-level Mutual Information for Drug-target Interaction Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Learning a Distance Metric by Balancing KL-Divergence for Imbalanced Datasets.
IEEE Trans. Syst. Man Cybern. Syst., 2019

Unsupervised EEG feature extraction based on echo state network.
Inf. Sci., 2019

A Parallel Simulated Annealing Enhancement of the Optimal-Matching Heuristic for Ridesharing.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
Predicting the Risk of Heart Failure With EHR Sequential Data Modeling.
IEEE Access, 2018

A Treatment Engine by Predicting Next-Period Prescriptions.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

CADEN: A Context-Aware Deep Embedding Network for Financial Opinions Mining.
Proceedings of the IEEE International Conference on Data Mining, 2018

Dr. Right!: Embedding-Based Adaptively-Weighted Mixture Multi-classification Model for Finding Right Doctors with Healthcare Experience Data.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
Chemical Medicine Classification Through Chemical Properties Analysis.
IEEE Access, 2017

An RNN Architecture with Dynamic Temporal Matching for Personalized Predictions of Parkinson's Disease.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Exploring risk factors and predicting UPDRS score based on Parkinson's speech signals.
Proceedings of the 19th IEEE International Conference on e-Health Networking, 2017

Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
A Convolutional Neural Network Model for Online Medical Guidance.
IEEE Access, 2016

Multi-Label Classification Methods for Green Computing and Application for Mobile Medical Recommendations.
IEEE Access, 2016

Minimizing Legal Exposure of High-Tech Companies through Collaborative Filtering Methods.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015
Efficient Methods for Multi-label Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

2014
Sliding Window-based Frequent Itemsets Mining over Data Streams using Tail Pointer Table.
Int. J. Comput. Intell. Syst., 2014

Technology Prospecting for High Tech Companies through Patent Mining.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013
Maximal Similarity Embedding.
Neurocomputing, 2013

UT-Tree: Efficient mining of high utility itemsets from data streams.
Intell. Data Anal., 2013

2010
Research on Maximal Frequent Pattern Outlier Factor for Online High-Dimensional Time-Series Outlier Detection.
J. Convergence Inf. Technol., 2010

A similarity measure of Jumping Dynamic Time Warping.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

2007
Chinese Patent Mining Based on Sememe Statistics and Key-Phrase Extraction.
Proceedings of the Advanced Data Mining and Applications, Third International Conference, 2007


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