Nan Du

Affiliations:
  • Baidu Research Big Data Lab, Sunnyvale, CA, USA
  • State University of New York at Buffalo, NY, USA (Ph.D.)


According to our database1, Nan Du authored at least 56 papers between 2011 and 2024.

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

Timeline

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Bibliography

2024
FIT-graph: A multi-grained evolutionary graph based framework for disease diagnosis.
Artif. Intell. Medicine, January, 2024

2021
Tracking Community Consistency in Dynamic Networks: An Influence-Based Approach.
IEEE Trans. Knowl. Data Eng., 2021

FM-ECG: A fine-grained multi-label framework for ECG image classification.
Inf. Sci., 2021

Practical fine-grained learning based anomaly classification for ECG image.
Artif. Intell. Medicine, 2021

Knowledge-Guided Efficient Representation Learning for Biomedical Domain.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Extracting Medical Knowledge from Crowdsourced Question Answering Website.
IEEE Trans. Big Data, 2020

Entity Synonym Discovery via Multipiece Bilateral Context Matching.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

On the Generation of Medical Question-Answer Pairs.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
KMR: knowledge-oriented medicine representation learning for drug-drug interaction and similarity computation.
J. Cheminformatics, 2019

SynonymNet: Multi-context Bilateral Matching for Entity Synonyms.
CoRR, 2019

MCVAE: Margin-based Conditional Variational Autoencoder for Relation Classification and Pattern Generation.
Proceedings of the World Wide Web Conference, 2019

Path-based Attribute-aware Representation Learning for Relation Prediction.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

MedTruth: A Semi-supervised Approach to Discovering Knowledge Condition Information from Multi-Source Medical Data.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Joint Slot Filling and Intent Detection via Capsule Neural Networks.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Multi-grained Named Entity Recognition.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Finding Similar Medical Questions from Question Answering Websites.
CoRR, 2018

When Truth Discovery Meets Medical Knowledge Graph: Estimating Trustworthiness Degree for Medical Knowledge Condition.
CoRR, 2018

AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation.
CoRR, 2018

Knowledge-aware Attentive Neural Network for Ranking Question Answer Pairs.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Ontology Evaluation with Path-based Text-aware Entropy Computation.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

On the Generative Discovery of Structured Medical Knowledge.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

MuVAN: A Multi-view Attention Network for Multivariate Temporal Data.
Proceedings of the IEEE International Conference on Data Mining, 2018

IDDAT: An Ontology-Driven Decision Support System for Infectious Disease Diagnosis and Therapy.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Cooperative Denoising for Distantly Supervised Relation Extraction.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Drug2Vec: Knowledge-aware Feature-driven Method for Drug Representation Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Reliable Medical Diagnosis from Crowdsourcing: Discover Trustworthy Answers from Non-Experts.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Bringing semantic structures to user intent detection in online medical queries.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Variational hybridization and transformation for large inaccurate noisy-or networks.
CoRR, 2016

Mining User Intentions from Medical Queries: A Neural Network Based Heterogeneous Jointly Modeling Approach.
Proceedings of the 25th International Conference on World Wide Web, 2016

Augmented LSTM Framework to Construct Medical Self-Diagnosis Android.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Influence based analysis of community consistency in dynamic networks.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
Tracking Temporal Community Strength in Dynamic Networks.
IEEE Trans. Knowl. Data Eng., 2015

Identifying Affinity Classes of Inorganic Materials Binding Sequences via a Graph-Based Model.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015

A graph-based integrative method of detecting consistent protein functional modules from multiple data sources.
Int. J. Data Min. Bioinform., 2015

Functional Node Detection on Linked Data.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Random Decision Hashing for Massive Data Learning.
Proceedings of the 4th International Workshop on Big Data, 2015

Significant Edge Detection in Target Network by Exploring Multiple Auxiliary Networks.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
A Deep Learning Approach to Link Prediction in Dynamic Networks.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

LRBM: A Restricted Boltzmann Machine Based Approach for Representation Learning on Linked Data.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Analysis on Community Variational Trend in Dynamic Networks.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Learning, Analyzing and Predicting Object Roles on Dynamic Networks.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Progression Analysis of Community Strengths in Dynamic Networks.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Critical protein detection in dynamic PPI networks with multi-source integrated deep belief nets.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Detecting mutual functional gene clusters from multiple related diseases.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

A Framework for Identifying Affinity Classes of Inorganic Materials Binding Peptide Sequences.
Proceedings of the ACM Conference on Bioinformatics, 2013

2012
A link prediction based unsupervised rank aggregation algorithm for informative gene selection.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

De-noise biological network from heterogeneous sources via link propagation.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

A graph-based cluster ensemble method to detect protein functional modules from multiple information sources.
Proceedings of the ACM International Conference on Bioinformatics, 2012

A collective NMF method for detecting protein functional module from multiple data sources.
Proceedings of the ACM International Conference on Bioinformatics, 2012

Detecting ECG abnormalities via transductive transfer learning.
Proceedings of the ACM International Conference on Bioinformatics, 2012

Finding informative genes for prostate cancer: a general framework of integrating heterogeneous sources.
Proceedings of the ACM International Conference on Bioinformatics, 2012

Evolutionary analysis of functional modules in dynamic PPI networks.
Proceedings of the ACM International Conference on Bioinformatics, 2012

2011
Finding Informative Genes from Multiple Microarray Experiments: A Graph-based Consensus Maximization Model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

Gene Co-Adaboost: a semi-supervised approach for classifying gene expression data.
Proceedings of the ACM International Conference on Bioinformatics, 2011


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