Tingting He

Orcid: 0000-0001-7523-6550

Affiliations:
  • Central China Normal University, Wuhan, China


According to our database1, Tingting He authored at least 149 papers between 2008 and 2024.

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

Timeline

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Bibliography

2024
Subtask-Aware Representation Learning for Predicting Antibiotic Resistance Gene Properties via Gating-Controlled Mechanism.
IEEE J. Biomed. Health Informatics, July, 2024

Meta-path reasoning of knowledge graph for commonsense question answering.
Frontiers Comput. Sci., February, 2024

A Stack-Propagation Framework With Slot Filling for Multi-Domain Dialogue State Tracking.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

Data-oriented Dynamic Fine-tuning Parameter Selection Strategy for FISH Mask based Efficient Fine-tuning.
CoRR, 2024

Rich Semantic Knowledge Enhanced Large Language Models for Few-shot Chinese Spell Checking.
Proceedings of the Findings of the Association for Computational Linguistics, 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

Incorporating BERT With Probability-Aware Gate for Spoken Language Understanding.
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

A Hybrid Corpus based Fine-grained Semantic Alignment Method for Pre-trained Language Model of Ancient Chinese Poetry.
Proceedings of the IEEE International Conference on Big Data, 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

Effective Drug Repositioning with a Novel Negative Sample Selection Algorithm.
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

Multimodal reasoning for nutrition and human health via knowledge graph embedding.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

DSPM-NLG: A Dual Supervised Pre-trained Model for Few-shot Natural Language Generation in Task-oriented Dialogue System.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Making Pre-trained Language Models Better Learn Few-Shot Spoken Language Understanding in More Practical Scenarios.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 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

Adversarial Separation Network for Text Style Transfer.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 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

A Novel Protein Interface Prediction Framework via Hybrid Attention Mechanism.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Food Recommendation for Mental Health by Using Knowledge Graph Approach.
Proceedings of the Health Information Science - 11th International Conference, 2022

DRLK: Dynamic Hierarchical Reasoning with Language Model and Knowledge Graph for Question Answering.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Emotion-Cause Relationship Between Clauses Prediction: a Novel Method Based on BERT for Emotion-Cause Pair Extraction.
Proceedings of the IEEE International Conference on Big Data, 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

A Global Deep Reranking Model for Semantic Role Classification.
IEICE Trans. Inf. Syst., 2021

Efficient multiple biomedical events extraction via reinforcement learning.
Bioinform., 2021

Research on Spider Sex Recognition From Images Based on Deep Learning.
IEEE Access, 2021

MDepressionKG: a knowledge graph for metabolism-depression associations.
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

Multi-type Microbial Relation Extraction by Transfer Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Triple-view Learning for Predicting Antibiotic Resistance Genes.
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

A simple kernel co-occurrence-based enhancement for pseudo-relevance feedback.
J. Assoc. Inf. Sci. Technol., 2020

An end-to-end framework for biomedical event trigger identification with hierarchical attention and adaptive cost learning.
Int. J. Data Min. Bioinform., 2020

An End-to-End Multi-task Learning Network with Scope Controller for Emotion-Cause Pair Extraction.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

An Integrated Knowledge Graph for Microbe-Disease Associations.
Proceedings of the Health Information Science - 9th International Conference, 2020

Effectively Incorporating Knowledge in Open-Domain Dialogue Generation.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive Intelligence, 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

Virus Named Entity Recognition based on Pre-training Model.
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

Adversarial Domain Adaptation Network for Semantic Role Classification.
IEICE Trans. Inf. Syst., 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

DSPF: A Digital Signal Processing Based Framework for Information Retrieval.
IEEE Access, 2019

Parrot: A Python-based Interactive Platform for Information Retrieval Research.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Effective Utilization of External Knowledge and History Context in Multi-turn Spoken Language Understanding Model.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 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

Microbial Interaction Extraction from Biomedical Literature using Max-Bi-LSTM.
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

Bacterial Named Entity Recognition Based on Language Model.
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

A New Term Frequency Normalization Model for Probabilistic Information Retrieval.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 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

The Phylogenetic Tree based Deep Forest for Metagenomic Data Classification.
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

High-order Organization of Weighted Microbial Interaction Network.
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

Kernel Soft-neighborhood Network Fusion for MiRNA-Disease Interaction Prediction.
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

A Hybrid Deep Learning Framework for Bacterial Named Entity Recognition.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
A Framework of Rural E-commerce in Context of Big Data in China.
Proceedings of the 16th Wuhan International Conference on E-Business, 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

Bacterial named entity recognition based on dictionary and conditional random field.
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

Learning semantic representation with neural networks for community question answering retrieval.
Knowl. Based Syst., 2016

Cross-lingual sentiment classification with stacked autoencoders.
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

Exploiting Semantic Coherence Features for Information Retrieval.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

A Simple Enhancement for Ad-hoc Information Retrieval via Topic Modelling.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Knowledge Base Question Answering Based on Deep Learning Models.
Proceedings of the Natural Language Understanding and Intelligent Applications, 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

Bi-Transferring Deep Neural Networks for Domain Adaptation.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Dynamic identifying protein functional modules based on adaptive density modularity in protein-protein interaction networks.
BMC Bioinform., December, 2015

基于位置语言模型的中文信息检索系统的研究 (Positional Language Model-based Chinese IR System).
计算机科学, 2015

Cross-domain sentiment classification via topical correspondence transfer.
Neurocomputing, 2015

Weighted fusion regularisation and predicting microbial interactions with vector autoregressive model.
Int. J. Data Min. Bioinform., 2015

Linking Heterogeneous Input Features with Pivots for Domain Adaptation.
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

Video Popularity Prediction by Sentiment Propagation via Implicit Network.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Predicting disease genes based on normalized protein modules and phenotype ontology.
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

Time series analysis of microbiome data regularized by local linear manifold.
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

An efficient protein complex mining algorithm based on Multistage Kernel Extension.
BMC Bioinform., 2014

Positional Translation Language Model for Ad-Hoc Information Retrieval.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Bridging the Language Gap: Learning Distributed Semantics for Cross-Lingual Sentiment Classification.
Proceedings of the Natural Language Processing and Chinese Computing, 2014

Log-Bilinear Document Language Model for Ad-hoc Information Retrieval.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 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

A novel disease gene prediction method based on PPI network.
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

Prioritizing disease-causing genes based on network diffusion and rank concordance.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013
Incorporating Hierarchical Dirichlet Process into Tag Topic Model.
Proceedings of the Chinese Lexical Semantics - 14th Workshop, 2013

Exploiting proximity feature in statistical translation models for information retrieval.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 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

Identification of essential proteins based on network capital assessment and invalidating protein node.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Protein functional module detection based on closely associated degree.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Mining protein complexes based on connected affinity clique extension.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012
Author-conference topic-connection model for academic network search.
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

Tag recommendation based on tag-topic model.
Proceedings of the 2nd IEEE International Conference on Cloud Computing and Intelligence Systems, 2012

Manifold learning reveals nonlinear structure in metagenomic profiles.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2011
Tag-topic model for semantic knowledge acquisition from blogs.
Proceedings of the 7th International Conference on Natural Language Processing and Knowledge Engineering, 2011

Perspective hierarchical dirichlet process for user-tagged image modeling.
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

Answer Diversification for Complex Question Answering on the Web.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

The topic-perspective model for social tagging systems.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Document Relevance Identifying and its Effect in Query-Focused Text Summarization.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

Wikipedia-Based Semantic Smoothing for the Language Modeling Approach to Information Retrieval.
Proceedings of the Advances in Information Retrieval, 2010

A probabilistic topic-connection model for automatic image annotation.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Using topic-concept based Clustering for Genomic Information Retrieval in TREC.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

2009
HUNUS at TAC 2009: with Better Performance in Update Summarization Task.
Proceedings of the Second Text Analysis Conference, 2009

Term relevance estimation for Chinese query expansion.
Proceedings of the 5th International Conference on Natural Language Processing and Knowledge Engineering, 2009

Probabilistic unsupervised Chinese sentence compression.
Proceedings of the 2009 IEEE International Conference on Granular Computing, 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
CCNU at TAC 2008: Proceeding on Using Semantic Method for Automated Summarization Yield.
Proceedings of the First Text Analysis Conference, 2008

Chinese query expansion based on topic-relevant terms.
Proceedings of the 4th International Conference on Natural Language Processing and Knowledge Engineering, 2008

RCSUM: To build a summarization system directly generating summaries with evaluation metrics.
Proceedings of the 4th International Conference on Natural Language Processing and Knowledge Engineering, 2008

Web Clustering based on the Information of Sibling Pages.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

ROUGE-C: A Fully Automated Evaluation Method for Multi-document Summarization.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

The Automated Estimation of Content-Terms for Query-Focused Multi-document Summarization.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

Query-Focused Multi-document Summarization Using Keyword Extraction.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

Application of Transductive Inference SVM Based Relevant Documents Acquiring in Query-Biased Summarization.
Proceedings of the International Conference on Computer Science and Software Engineering, 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

A New Feature-Fusion Sentence Selecting Strategy for Query-Focused Multi-document Summarization.
Proceedings of the ALPIT 2008, 2008


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