Lan Huang

Orcid: 0000-0003-1182-9810

Affiliations:
  • Jilin University, Changchun, China


According to our database1, Lan Huang authored at least 94 papers between 2008 and 2024.

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

Timeline

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Bibliography

2024
MMGAT: a graph attention network framework for ATAC-seq motifs finding.
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

Prompt-based learning framework for zero-shot cross-lingual text classification.
Eng. Appl. Artif. Intell., 2024

FAM: Improving columnar vision transformer with feature attention mechanism.
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

A Simple but Effective Approach for Unsupervised Few-Shot Graph Classification.
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

Improved Graph Contrastive Learning for Short Text Classification.
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

OCMR: A comprehensive framework for optical chemical molecular recognition.
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

U-DARTS: Uniform-space differentiable architecture search.
Inf. Sci., May, 2023

A Hybrid VAE Based Network Embedding Method for Biomedical Relation Mining.
Neural Process. Lett., February, 2023

Data resources and computational methods for lncRNA-disease association prediction.
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

Local and Global: Temporal Question Answering via Information Fusion.
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
Deep Feature-Based Text Clustering and its Explanation.
IEEE Trans. Knowl. Data Eng., 2022

Traditional Chinese medicine entity relation extraction based on CNN with segment attention.
Neural Comput. Appl., 2022

Transforming OMIC features for classification using siamese convolutional networks.
J. Bioinform. Comput. Biol., 2022

EGFAFS: A Novel Feature Selection Algorithm Based on Explosion Gravitation Field Algorithm.
Entropy, 2022

Deep Multilabel Multilingual Document Learning for Cross-Lingual Document Retrieval.
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

Multi-channel graph attention autoencoders for disease-related lncRNAs prediction.
Briefings Bioinform., 2022

Artificial intelligence in clinical research of cancers.
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

Minimum Distribution Support Vector Clustering.
Entropy, 2021

Coarse-Grained Pruning of Neural Network Models Based on Blocky Sparse Structure.
Entropy, 2021

Is your Schema Good Enough to Answer my Query?
CoRR, 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

HBFP: a new repository for human body fluid proteome.
Database J. Biol. Databases Curation, 2021

Human body-fluid proteome: quantitative profiling and computational prediction.
Briefings Bioinform., 2021

A comprehensive comparison of residue-level methylation levels with the regression-based gene-level methylation estimations by ReGear.
Briefings Bioinform., 2021

A Sequential Graph Neural Network for Short Text Classification.
Algorithms, 2021

Property-Based Semantic Similarity Criteria to Evaluate the Overlaps of Schemas.
Algorithms, 2021

Survival Time Prediction of Breast Cancer Patients Using Feature Selection Algorithm Crystall.
IEEE Access, 2021

Research and Application of Reinforcement Learning Recommendation Method for Taobao.
Proceedings of the IEEE Symposium on Computers and Communications, 2021

COVID-19 Knowledge Graph for Drug and Vaccine Development.
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

A Survey on Performance Optimization of High-Level Synthesis Tools.
J. Comput. Sci. Technol., 2020

A novel deep learning method for extracting unspecific biomedical relation.
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

Feature selection may improve deep neural networks for the bioinformatics problems.
Bioinform., 2020

ELMO: An Efficient Logistic Regression-Based Multi-Omic Integrated Analysis Method for Breast Cancer Intrinsic Subtypes.
IEEE Access, 2020

An Efficient v-Minimum Absolute Deviation Distribution Regression Machine.
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

A Text Normalization Method for Speech Synthesis Based on Local Attention Mechanism.
IEEE Access, 2020

An Incremental Learning Network Model Based on Random Sample Distribution Fitting.
Proceedings of the Knowledge Science, Engineering and Management, 2020

2019
A novel MEDLINE topic indexing method using image presentation.
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

An Improved Selection Operator for Multi-objective Optimization.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

Towards Smart Healthcare Management Based on Knowledge Graph Technology.
Proceedings of the 8th International Conference on Software and Computer Applications, 2019

Computational Prediction of Human Body-Fluid Protein.
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

ε-Distance Weighted Support Vector Regression.
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
An improved fruit fly optimization algorithm for solving traveling salesman problem.
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

Key Relation Extraction from Biomedical Publications.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Gravitation field algorithm with optimal detection for unconstrained optimization.
Proceedings of the 4th International Conference on Systems and Informatics, 2017

2016
A method for exploring implicit concept relatedness in biomedical knowledge network.
BMC Bioinform., 2016

A Novel Spatio-Temporal Data Storage and Index Method for ARM-Based Hadoop Server.
Proceedings of the Cloud Computing and Security - Second International Conference, 2016

Partitioning Clustering Based on Support Vector Ranking.
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

A Greedy Strategy Link Clustering Method Based on AP.
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

Support Vector Regression for Prediction of Housing Values.
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


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