Tingting He
Orcid: 0000-0001-7523-6550Affiliations:
- Central China Normal University, Wuhan, Hubei, China
According to our database1,
Tingting He
authored at least 102 papers
between 2008 and 2024.
Collaborative distances:
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Bibliography
2024
A Stack-Propagation Framework With Slot Filling for Multi-Domain Dialogue State Tracking.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
2023
Food4healthKG: Knowledge graphs for food recommendations based on gut microbiota and mental health.
Artif. Intell. Medicine, November, 2023
Improving drug-drug interactions prediction with interpretability via meta-path-based information fusion.
Briefings Bioinform., March, 2023
multiMiAT: an optimal microbiome-based association test for multicategory phenotypes.
Briefings Bioinform., March, 2023
An Explainable Framework for Predicting Drug-Side Effect Associations via Meta-Path-Based Feature Learning in Heterogeneous Information Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
IEEE ACM Trans. Audio Speech Lang. Process., 2023
A novel framework for deep knowledge tracing via gating-controlled forgetting and learning mechanisms.
Inf. Process. Manag., 2023
An Effective Model for Drug-Drug Interactions Prediction in Cold-start Scenario via Counterfactual Data Augmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Counterfactual Inference-based Data Augmentation for Drug-side effect Associations Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Cascade Decoding for Antibiotic Resistance Event Extraction Based on Contrastive Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Predicting Microbe-Metabolite Interactions by Integrating Non-negative Matrix Factorization and Generative Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Document-Level Chemical-Induced Disease Relation Extraction via Hierarchical Representation Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Seq-BEL: Sequence-Based Ensemble Learning for Predicting Virus-Human Protein-Protein Interaction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
A multi-label learning framework for predicting antibiotic resistance genes via dual-view modeling.
Briefings Bioinform., 2022
Detecting sparse microbial association signals adaptively from longitudinal microbiome data based on generalized estimating equations.
Briefings Bioinform., 2022
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
Proceedings of the Health Information Science - 11th International Conference, 2022
Prediction of Drug-Drug Interactions Based on Meta-path-based Fusion Mechanism in Heterogeneous Information Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
A Novel Drug Repositioning Model Based on Heterogeneous Graph Convolutional Network via Multi-task Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
MPGNN-DSA: A Meta-path-based Graph Neural Network for drug-side effect association prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
An effective framework for semistructured document classification via hierarchical attention model.
Int. J. Intell. Syst., 2021
Bioinform., 2021
IEEE Access, 2021
Proceedings of the ISAIMS 2021: 2nd International Symposium on Artificial Intelligence for Medicine Sciences, Beijing, China, October 29, 2021
An improved RL-based framework for multiple biomedical event extraction via self-supervised learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
TopoPhy-CNN: Integrating Topological Information of Phylogenetic Tree for Host Phenotype Prediction From Metagenomic Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Clustering and Integrating of Heterogeneous Microbiome Data by Joint Symmetric Nonnegative Matrix Factorization with Laplacian Regularization.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
An end-to-end framework for biomedical event trigger identification with hierarchical attention and adaptive cost learning.
Int. J. Data Min. Bioinform., 2020
Proceedings of the Health Information Science - 9th International Conference, 2020
A Novel Method for Multiple Biomedical Events Extraction with Reinforcement Learning and Knowledge Bases.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
An Effective Framework for Document-level Chemical-induced Disease Relation Extraction via Fine-grained Interaction between Contexts.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Knowledge-aware Few-shot Learning Framework for Biomedical Event Trigger Identification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
An adaptive term proximity based rocchio's model for clinical decision support retrieval.
BMC Medical Informatics Decis. Mak., 2019
Predicting virus-host association by Kernelized logistic matrix factorization and similarity network fusion.
BMC Bioinform., 2019
A hybrid deep learning framework for bacterial named entity recognition with domain features.
BMC Bioinform., 2019
Hierarchical-Document-Structure-Aware Attention with Adaptive Cost Sensitive Learning for Biomedical Document Classification.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Integrating Deep Textual Features to Probability Matrix Factorization for Metabolite-disease Association Prediction.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
An Improved Biomedical Event Trigger Identification Framework via Modeling Document with Hierarchical Attention.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Nonlinear expression and visualization of nonmetric relationships in genetic diseases and microbiome data.
BMC Bioinform., 2018
An Enhanced HAL-Based Pseudo Relevance Feedback Model in Clinical Decision Support Retrieval.
Proceedings of the Intelligent Computing Theories and Application, 2018
ESNMF: Evolutionary Symmetric Nonnegative Matrix Factorization for Dissecting Dynamic Microbial Networks.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
An Ensemble Feature Selection Method Based on Deep Forest for Microbiome-Wide Association Studies.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Prediction of Long Non-coding RNA-protein Interaction through Kernel Soft-neighborhood Similarity.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Virus-host Association Prediction by using Kernelized Logistic Matrix Factorization on Heterogeneous Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Visualization of non-metric relationships by adaptive learning multiple maps t-SNE regularization.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
Visualization of disease relationships by multiple maps t-SNE regularization based on Nesterov accelerated gradient.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
The modularity of microbial interaction network in healthy human saliva: Stability and specificity.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2016
Learning the Multilingual Translation Representations for Question Retrieval in Community Question Answering via Non-Negative Matrix Factorization.
IEEE ACM Trans. Audio Speech Lang. Process., 2016
Knowl. Inf. Syst., 2016
A novel proteins complex identification based on connected affinity and multi-level seed extension.
Int. J. Data Min. Bioinform., 2016
Identification of the clustering structure in microbiome data by density clustering on the Manhattan distance.
Sci. China Inf. Sci., 2016
Socialized Language Model Smoothing via Bi-directional Influence Propagation on Social Networks.
Proceedings of the 25th International Conference on World Wide Web, 2016
A novel identified temporal protein complexes strategy inspired by density-distance and brainstorming process.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
Predicting disease-microbe association by random walking on the heterogeneous network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
Multi-view clustering microbiome data by joint symmetric nonnegative matrix factorization with Laplacian regularization.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
Dynamic identifying protein functional modules based on adaptive density modularity in protein-protein interaction networks.
BMC Bioinform., December, 2015
计算机科学, 2015
Weighted fusion regularisation and predicting microbial interactions with vector autoregressive model.
Int. J. Data Min. Bioinform., 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
A Subspace Learning Framework for Cross-Lingual Sentiment Classification with Partial Parallel Data.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
Predicting microbial interactions by using network-constrained regularization incorporating covariate coefficients and connection signs.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
Detecting temporal protein complexes based on Neighbor Closeness and time course protein interaction networks.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
Learning Continuous Word Embedding with Metadata for Question Retrieval in Community Question Answering.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
2014
An empirical study of topic-sensitive probabilistic model for expert finding in question answer communities.
Knowl. Based Syst., 2014
BMC Bioinform., 2014
Bridging the Language Gap: Learning Distributed Semantics for Cross-Lingual Sentiment Classification.
Proceedings of the Natural Language Processing and Chinese Computing, 2014
Identifying top Chinese network buzzwords from social media big data set based on time-distribution features.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014
Microbiome dynamics analysis using a novel multivariate vector autoregression model with weighted fusion regularization.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014
2013
A novel protein complex identification algorithm based on gene co-expression (PCIA-GeCo).
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
An integrated approach to identify protein complex based on best neighbor and modularity increment.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
2012
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
Incorporating word correlation into tag-topic model for semantic knowledge acquisition.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
Modeling semantic relations between visual attributes and object categories via dirichlet forest prior.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012
2011
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
Inferring Functional Groups from Microbial Gene Catalogue with Probabilistic Topic Models.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011
2010
Improving Diversity of Focused Summaries through the Negative Endorsements of Redundant Facts.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010
2009
Exploratory Analysis of Protein Translation Regulatory Networks Using Hierarchical Random Graphs.
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009
2008
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008
A Mixture Language Model for Class-Attribute Mining from Biomedical Literature Digital Library.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008