Lan Huang
Orcid: 0000-0003-1182-9810Affiliations:
- Jilin University, Changchun, China
According to our database1,
Lan Huang
authored at least 94 papers
between 2008 and 2024.
Collaborative distances:
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Bibliography
2024
BMC Bioinform., December, 2024
Graph pooling in graph neural networks: methods and their applications in omics studies.
Artif. Intell. Rev., November, 2024
FairCare: Adversarial training of a heterogeneous graph neural network with attention mechanism to learn fair representations of electronic health records.
Inf. Process. Manag., March, 2024
A Survey of Deep Learning for Detecting miRNA- Disease Associations: Databases, Computational Methods, Challenges, and Future Directions.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
DBFFT: Adversarial-robust dual-branch frequency domain feature fusion in vision transformers.
Inf. Fusion, 2024
Eng. Appl. Artif. Intell., 2024
Comput. Vis. Image Underst., 2024
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training.
CoRR, 2024
AMPCliff: quantitative definition and benchmarking of activity cliffs in antimicrobial peptides.
CoRR, 2024
MolFeSCue: enhancing molecular property prediction in data-limited and imbalanced contexts using few-shot and contrastive learning.
Bioinform., 2024
Proceedings of the ACM on Web Conference 2024, 2024
Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
GSRNet, an adversarial training-based deep framework with multi-scale CNN and BiGRU for predicting genomic signals and regions.
Expert Syst. Appl., November, 2023
Cross-domain endoscopic image translation and landmark detection based on consistency regularization cycle generative adversarial network.
Expert Syst. Appl., October, 2023
Comput. Biol. Medicine, September, 2023
Multi-task prediction-based graph contrastive learning for inferring the relationship among lncRNAs, miRNAs and diseases.
Briefings Bioinform., September, 2023
Orchestrating information across tissues via a novel multitask GAT framework to improve quantitative gene regulation relation modeling for survival analysis.
Briefings Bioinform., July, 2023
EvaGoNet: An integrated network of variational autoencoder and Wasserstein generative adversarial network with gradient penalty for binary classification tasks.
Inf. Sci., June, 2023
EpiTEAmDNA: Sequence feature representation via transfer learning and ensemble learning for identifying multiple DNA epigenetic modification types across species.
Comput. Biol. Medicine, June, 2023
Gender-specific dysregulations of nondifferentially expressed biomarkers of metastatic colon cancer.
Comput. Biol. Chem., June, 2023
Neural Process. Lett., February, 2023
Comput. Biol. Medicine, February, 2023
A Survey of Computational Methods and Databases for lncRNA-MiRNA Interaction Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
A method for incremental discovery of financial event types based on anomaly detection.
CoRR, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Contrastive self-supervised graph convolutional network for detecting the relationship among lncRNAs, miRNAs, and diseases.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
IEEE Trans. Knowl. Data Eng., 2022
Traditional Chinese medicine entity relation extraction based on CNN with segment attention.
Neural Comput. Appl., 2022
J. Bioinform. Comput. Biol., 2022
EGFAFS: A Novel Feature Selection Algorithm Based on Explosion Gravitation Field Algorithm.
Entropy, 2022
Entropy, 2022
Multi-input adaptive neural network for automatic detection of cervical vertebral landmarks on X-rays.
Comput. Biol. Medicine, 2022
Pan-cancer identification of the relationship of metabolism-related differentially expressed transcription regulation with non-differentially expressed target genes via a gated recurrent unit network.
Comput. Biol. Medicine, 2022
HLAB: learning the BiLSTM features from the ProtBert-encoded proteins for the class I HLA-peptide binding prediction.
Briefings Bioinform., 2022
Briefings Bioinform., 2022
2021
Recognizing art work image from natural type: a deep adaptive depiction fusion method.
Vis. Comput., 2021
Research and Implementation of Scheduling Strategy in Kubernetes for Computer Science Laboratory in Universities.
Inf., 2021
Entropy, 2021
RIFS2D: A two-dimensional version of a randomly restarted incremental feature selection algorithm with an application for detecting low-ranked biomarkers.
Comput. Biol. Medicine, 2021
Computational pan-cancer characterization of model-based quantitative transcription regulations dysregulated in regional lymph node metastasis.
Comput. Biol. Medicine, 2021
DeepSec: a deep learning framework for secreted protein discovery in human body fluids.
Bioinform., 2021
A dynamic recursive feature elimination framework (dRFE) to further refine a set of OMIC biomarkers.
Bioinform., 2021
Database J. Biol. Databases Curation, 2021
Briefings Bioinform., 2021
A comprehensive comparison of residue-level methylation levels with the regression-based gene-level methylation estimations by ReGear.
Briefings Bioinform., 2021
Algorithms, 2021
Survival Time Prediction of Breast Cancer Patients Using Feature Selection Algorithm Crystall.
IEEE Access, 2021
Proceedings of the IEEE Symposium on Computers and Communications, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
An Extended Nonstrict Partially Ordered Set-Based Configurable Linear Sorter on FPGAs.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020
J. Comput. Sci. Technol., 2020
Concurr. Comput. Pract. Exp., 2020
Selection of features for patient-independent detection of seizure events using scalp EEG signals.
Comput. Biol. Medicine, 2020
FeSTwo, a two-step feature selection algorithm based on feature engineering and sampling for the chronological age regression problem.
Comput. Biol. Medicine, 2020
sefOri: selecting the best-engineered sequence features to predict DNA replication origins.
Bioinform., 2020
Bioinform., 2020
ELMO: An Efficient Logistic Regression-Based Multi-Omic Integrated Analysis Method for Breast Cancer Intrinsic Subtypes.
IEEE Access, 2020
IEEE Access, 2020
MuscNet, a Weighted Voting Model of Multi-Source Connectivity Networks to Predict Mild Cognitive Impairment Using Resting-State Functional MRI.
IEEE Access, 2020
IEEE Access, 2020
Proceedings of the Knowledge Science, Engineering and Management, 2020
2019
J. Vis. Commun. Image Represent., 2019
Explosion gravitation field algorithm with dust sampling for unconstrained optimization.
Appl. Soft Comput., 2019
Integrating Five Feature Types Extracted From Ultrasonograms to Improve the Prediction of Thyroid Papillary Carcinoma.
IEEE Access, 2019
Deep Residual Convolutional Neural Network for Protein-Protein Interaction Extraction.
IEEE Access, 2019
The Transverse Ultrasonogram of Thyroid Papillary Carcinoma Has a Better Prediction Accuracy Than the Longitudinal One.
IEEE Access, 2019
Accurate Prediction of Neoadjuvant Chemotherapy Pathological Complete Remission (pCR) for the Four Sub-Types of Breast Cancer.
IEEE Access, 2019
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019
Proceedings of the 8th International Conference on Software and Computer Applications, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
A General Framework for Accelerating Swarm Intelligence Algorithms on FPGAs, GPUs and Multi-Core CPUs.
IEEE Access, 2018
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
An Improved Collaborative Filtering Algorithm and Application in Scenic Spot Recommendation.
Proceedings of the Data Science, 2018
2017
Frontiers Inf. Technol. Electron. Eng., 2017
一种基于关联关系的有向网络关键节点挖掘算法 (Key Nodes Mining Algorithm Based on Association with Directed Network).
计算机科学, 2017
The talent planning model and empirical research to the key disciplines in science and technology.
Clust. Comput., 2017
A Novel Diversity Measure for Understanding Movie Ranks in Movie Collaboration Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017
Proceedings of the 4th International Conference on Systems and Informatics, 2017
2016
BMC Bioinform., 2016
Proceedings of the Cloud Computing and Security - Second International Conference, 2016
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016
2015
Evaluation of scientific publications with hesitant fuzzy uncertain linguistic and semantic information.
J. Intell. Fuzzy Syst., 2015
Proceedings of the 2015 Second European Network Intelligence Conference, 2015
Implicit knowledge discovery in biomedical ontologies: Computing interesting relatednesses.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
2009
Immune Particle Swarm Optimization for Support Vector Regression on Forest Fire Prediction.
Proceedings of the Advances in Neural Networks, 2009
Proceedings of the 2009 International Conference on Computational Intelligence and Security, 2009
2008
Research on Data Mining Algorithms for Automotive Customers' Behavior Prediction Problem.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008