Bo Jin
Orcid: 0000-0002-4094-7499Affiliations:
- Dalian University of Technology, Dalian, China
According to our database1,
Bo Jin
authored at least 64 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Sensors, July, 2024
GC-STCL: A Granger Causality-Based Spatial-Temporal Contrastive Learning Framework for EEG Emotion Recognition.
Entropy, July, 2024
NCH-DDA: Neighborhood contrastive learning heterogeneous network for drug-disease association prediction.
Expert Syst. Appl., March, 2024
HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models in Resource-Constrained Environments.
CoRR, 2024
Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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
Exploring unsupervised multivariate time series representation learning for chronic disease diagnosis.
Int. J. Data Sci. Anal., March, 2023
IEEE Trans. Knowl. Data Eng., 2023
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
A Global View-Guided Autoregressive Residual Network for Irregular Time Series Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
Proceedings of the 21st IEEE Interregional NEWCAS Conference, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
IEEE Trans. Knowl. Data Eng., 2022
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
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
Knowl. Based Syst., 2021
Bi-DAINet: Bi-Directional Discard-Accept-Integrate Network for salient object detection.
Neurocomputing, 2021
IET Image Process., 2021
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
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
Health Informatics J., 2020
IEEE Access, 2020
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
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
IEEE Trans. Syst. Man Cybern. Syst., 2019
CoRR, 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
Particle classification optimization-based BP network for telecommunication customer churn prediction.
Neural Comput. Appl., 2018
IEEE Access, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
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
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
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
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
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
2013
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
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010
2007
Proceedings of the Advanced Data Mining and Applications, Third International Conference, 2007