Junjie Wang
Orcid: 0000-0003-0732-051XAffiliations:
- Harbin Institute of Technology, School of Computer Science and Technology, China
According to our database1,
Junjie Wang
authored at least 23 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
A MLP-Mixer and mixture of expert model for remaining useful life prediction of lithium-ion batteries.
Frontiers Comput. Sci., October, 2024
A Hierarchical Graph Neural Network Framework for Predicting Protein-Protein Interaction Modulators With Functional Group Information and Hypergraph Structure.
IEEE J. Biomed. Health Informatics, July, 2024
Drug-Target Binding Affinity Prediction in a Continuous Latent Space Using Variational Autoencoders.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
MIMR: Modality-Invariance Modeling and Refinement for unsupervised visible-infrared person re-identification.
Knowl. Based Syst., 2024
PPII-AEAT: Prediction of protein-protein interaction inhibitors based on autoencoders with adversarial training.
Comput. Biol. Medicine, 2024
2023
DFFNDDS: prediction of synergistic drug combinations with dual feature fusion networks.
J. Cheminformatics, December, 2023
DataDTA: a multi-feature and dual-interaction aggregation framework for drug-target binding affinity prediction.
Bioinform., September, 2023
Using a stacked ensemble learning framework to predict modulators of protein-protein interactions.
Comput. Biol. Medicine, July, 2023
Reliability modeling and contrastive learning for unsupervised person re-identification.
Knowl. Based Syst., March, 2023
Continuous Prompt for Chemical Language Model Aided Anticancer Synergistic Drug Combination Prediction.
Proceedings of the IEEE International Conference on Big Data, 2023
2022
MGPLI: exploring multigranular representations for protein-ligand interaction prediction.
Bioinform., October, 2022
ELECTRA-DTA: a new compound-protein binding affinity prediction model based on the contextualized sequence encoding.
J. Cheminformatics, 2022
Learning representations for gene ontology terms by jointly encoding graph structure and textual node descriptors.
Briefings Bioinform., 2022
2021
SeqGO-CPA: Improving Compound-Protein Binding Affinity Prediction with Sequence Information and Gene Ontology Knowledge.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
2018
J. Sensors, 2018
Multi-Target Tracking with the Progressive Gaussian Probability Hypothesis Density Filter.
Proceedings of the 2018 International Conference on Control, 2018
Proceedings of the 18th IEEE International Conference on Bioinformatics and Bioengineering, 2018
2016
EURASIP J. Adv. Signal Process., 2016
2015
Proceedings of the 2015 International Conference on Control, 2015
2014
Multi-object Tracking Based on Particle Probability Hypothesis Density Tracker in Microscopic Video.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014