Nan Du

62 papers A* 14A 6B 4Journal 20Unranked 18
YearRankTypeTitle / Venue / Authors
2024 J jnl
FIT-graph: A multi-grained evolutionary graph based framework for disease diagnosis.
Artif. Intell. Medicine
Zizhu Liu, Qing Cao, Nan Du, Huizhen Shu, Erheng Zhong, Nan Jiang, Qiaoran Chen, Ying Shen, Kang Chen
2022 J jnl
Modeling path information for knowledge graph completion.
Neural Comput. Appl.
Ying Shen, Dagang Li, Nan Du
2021 J jnl
FM-ECG: A fine-grained multi-label framework for ECG image classification.
Inf. Sci.
Nan Du, Qing Cao, Li Yu, Nathan Liu, Erheng Zhong, Zizhu Liu, Ying Shen, Kang Chen
2021 A* conf
Knowledge-Guided Efficient Representation Learning for Biomedical Domain.
KDD
Kishlay Jha, Guangxu Xun, Nan Du, Aidong Zhang
2021 J jnl
Practical fine-grained learning based anomaly classification for ECG image.
Artif. Intell. Medicine
Qing Cao, Nan Du, Li Yu, Ming Zuo, Jingsheng Lin, Nathan Liu, Erheng Zhong, Zizhu Liu, Qiaoran Chen, Ying Shen, Kang Chen
2021 J jnl
Tracking Community Consistency in Dynamic Networks: An Influence-Based Approach.
IEEE Trans. Knowl. Data Eng.
Xiaowei Jia, Xiaoyi Li, Nan Du, Yuan Zhang, Vishrawas Gopalakrishnan, Guangxu Xun, Aidong Zhang
2020 A* conf
Entity Synonym Discovery via Multipiece Bilateral Context Matching.
IJCAI
Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu
2020 J jnl
Extracting Medical Knowledge from Crowdsourced Question Answering Website.
IEEE Trans. Big Data
Yaliang Li, Chaochun Liu, Nan Du, Wei Fan, Qi Li, Jing Gao, Chenwei Zhang, Hao Wu
2020 A* conf
On the Generation of Medical Question-Answer Pairs.
AAAI
Sheng Shen, Yaliang Li, Nan Du, Xian Wu, Yusheng Xie, Shen Ge, Tao Yang, Kai Wang, Xingzheng Liang, Wei Fan
2019 — conf
Joint Slot Filling and Intent Detection via Capsule Neural Networks.
ACL (1)
Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu
2019 J jnl
KMR: knowledge-oriented medicine representation learning for drug-drug interaction and similarity computation.
J. Cheminformatics
Ying Shen, Kaiqi Yuan, Min Yang, Buzhou Tang, Yaliang Li, Nan Du, Kai Lei
2019 A* conf
MCVAE: Margin-based Conditional Variational Autoencoder for Relation Classification and Pattern Generation.
WWW
Fenglong Ma, Yaliang Li, Chenwei Zhang, Jing Gao, Nan Du, Wei Fan
2019 A conf
MedTruth: A Semi-supervised Approach to Discovering Knowledge Condition Information from Multi-Source Medical Data.
CIKM
Yang Deng, Yaliang Li, Ying Shen, Nan Du, Wei Fan, Min Yang, Kai Lei
2019 J jnl
Multi-Grained Named Entity Recognition.
CoRR
Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip S. Yu
2019 A* conf
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering.
AAAI
Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen
2019 — conf
Multi-grained Named Entity Recognition.
ACL (1)
Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip S. Yu
2019 A conf
Path-based Attribute-aware Representation Learning for Relation Prediction.
SDM
Ying Shen, Desi Wen, Yaliang Li, Nan Du, Haitao Zheng, Min Yang
2019 J jnl
SynonymNet: Multi-context Bilateral Matching for Entity Synonyms.
CoRR
Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu
2018 J jnl
AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation.
CoRR
Wentao Zhu, Yufang Huang, Hui Tang, Zhen Qian, Nan Du, Wei Fan, Xiaohui Xie
2018 B conf
Cooperative Denoising for Distantly Supervised Relation Extraction.
COLING
Kai Lei, Daoyuan Chen, Yaliang Li, Nan Du, Min Yang, Wei Fan, Ying Shen
2018 — conf
Drug2Vec: Knowledge-aware Feature-driven Method for Drug Representation Learning.
BIBM
Ying Shen, Kaiqi Yuan, Yaliang Li, Buzhou Tang, Min Yang, Nan Du, Kai Lei
2018 J jnl
Finding Similar Medical Questions from Question Answering Websites.
CoRR
Yaliang Li, Liuyi Yao, Nan Du, Jing Gao, Qi Li, Chuishi Meng, Chenwei Zhang, Wei Fan
2018 — conf
IDDAT: An Ontology-Driven Decision Support System for Infectious Disease Diagnosis and Therapy.
ICDM Workshops
Ying Shen, Yang Deng, Jin Zhang, Yaliang Li, Nan Du, Wei Fan, Min Yang, Kai Lei
2018 J jnl
Joint Slot Filling and Intent Detection via Capsule Neural Networks.
CoRR
Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu
2018 B conf
Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge.
COLING
Yang Deng, Ying Shen, Min Yang, Yaliang Li, Nan Du, Wei Fan, Kai Lei
2018 A* conf
Knowledge-aware Attentive Neural Network for Ranking Question Answer Pairs.
SIGIR
Ying Shen, Yang Deng, Min Yang, Yaliang Li, Nan Du, Wei Fan, Kai Lei
2018 A* conf
MuVAN: A Multi-view Attention Network for Multivariate Temporal Data.
ICDM
Ye Yuan, Guangxu Xun, Fenglong Ma, Yaqing Wang, Nan Du, Kebin Jia, Lu Su, Aidong Zhang
2018 J jnl
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering.
CoRR
Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen
2018 J jnl
On the Generation of Medical Question-Answer Pairs.
CoRR
Sheng Shen, Yaliang Li, Nan Du, Xian Wu, Yusheng Xie, Shen Ge, Tao Yang, Kai Wang, Xingzheng Liang, Wei Fan
2018 A* conf
On the Generative Discovery of Structured Medical Knowledge.
KDD
Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu
2018 A* conf
Ontology Evaluation with Path-based Text-aware Entropy Computation.
SIGIR
Ying Shen, Daoyuan Chen, Min Yang, Yaliang Li, Nan Du, Kai Lei
2018 J jnl
When Truth Discovery Meets Medical Knowledge Graph: Estimating Trustworthiness Degree for Medical Knowledge Condition.
CoRR
Yang Deng, Yaliang Li, Nan Du, Wei Fan, Ying Shen, Kai Lei
2017 J jnl
Bringing Semantic Structures to User Intent Detection in Online Medical Queries.
CoRR
Chenwei Zhang, Nan Du, Wei Fan, Yaliang Li, Chun-Ta Lu, Philip S. Yu
2017 — conf
Bringing semantic structures to user intent detection in online medical queries.
IEEE BigData
Chenwei Zhang, Nan Du, Wei Fan, Yaliang Li, Chun-Ta Lu, Philip S. Yu
2017 A conf
Reliable Medical Diagnosis from Crowdsourcing: Discover Trustworthy Answers from Non-Experts.
WSDM
Yaliang Li, Nan Du, Chaochun Liu, Yusheng Xie, Wei Fan, Qi Li, Jing Gao, Huan Sun
2016 A* conf
Augmented LSTM Framework to Construct Medical Self-Diagnosis Android.
ICDM
Chaochun Liu, Huan Sun, Nan Du, Shulong Tan, Hongliang Fei, Wei Fan, Tao Yang, Hao Wu, Yaliang Li, Chenwei Zhang
2016 B conf
Influence based analysis of community consistency in dynamic networks.
ASONAM
Xiaowei Jia, Xiaoyi Li, Nan Du, Yuan Zhang, Vishrawas Gopalakrishnan, Guangxu Xun, Aidong Zhang
2016 A* conf
Mining User Intentions from Medical Queries: A Neural Network Based Heterogeneous Jointly Modeling Approach.
WWW
Chenwei Zhang, Wei Fan, Nan Du, Philip S. Yu
2016 J jnl
Variational hybridization and transformation for large inaccurate noisy-or networks.
CoRR
Yusheng Xie, Nan Du, Wei Fan, Jing Zhai, Weicheng Zhu
2015 J jnl
A graph-based integrative method of detecting consistent protein functional modules from multiple data sources.
Int. J. Data Min. Bioinform.
Yuan Zhang, Yue Cheng, Liang Ge, Nan Du, Kebin Jia, Aidong Zhang
2015 A conf
Functional Node Detection on Linked Data.
SDM
Kang Li, Jing Gao, Suxin Guo, Nan Du, Aidong Zhang
2015 J jnl
Identifying Affinity Classes of Inorganic Materials Binding Sequences via a Graph-Based Model.
IEEE ACM Trans. Comput. Biol. Bioinform.
Nan Du, Marc R. Knecht, Mark T. Swihart, Zhenghua Tang, Tiffany R. Walsh, Aidong Zhang
2015 — conf
Random Decision Hashing for Massive Data Learning.
BigMine
Xiatian Zhang, Wei Fan, Nan Du
2015 B conf
Significant Edge Detection in Target Network by Exploring Multiple Auxiliary Networks.
ASONAM
Nan Du, Jing Gao, Liang Ge, Vishrawas Gopalakrishnan, Xiaowei Jia, Kang Li, Aidong Zhang
2015 J jnl
Tracking Temporal Community Strength in Dynamic Networks.
IEEE Trans. Knowl. Data Eng.
Nan Du, Xiaowei Jia, Jing Gao, Vishrawas Gopalakrishnan, Aidong Zhang
2014 A conf
A Deep Learning Approach to Link Prediction in Dynamic Networks.
SDM
Xiaoyi Li, Nan Du, Hui Li, Kang Li, Jing Gao, Aidong Zhang
2014 A conf
Analysis on Community Variational Trend in Dynamic Networks.
CIKM
Xiaowei Jia, Nan Du, Jing Gao, Aidong Zhang
2014 A* conf
LRBM: A Restricted Boltzmann Machine Based Approach for Representation Learning on Linked Data.
ICDM
Kang Li, Jing Gao, Suxin Guo, Nan Du, Xiaoyi Li, Aidong Zhang
2013 — conf
A Framework for Identifying Affinity Classes of Inorganic Materials Binding Peptide Sequences.
BCB
Nan Du, Marc R. Knecht, Paras N. Prasad, Mark T. Swihart, Tiffany R. Walsh, Aidong Zhang
2013 — conf
Critical protein detection in dynamic PPI networks with multi-source integrated deep belief nets.
BIBM
Yuan Zhang, Nan Du, Kang Li, Jinchao Feng, Kebin Jia, Aidong Zhang
2013 — conf
Detecting mutual functional gene clusters from multiple related diseases.
BIBM
Nan Du, Xiaoyi Li, Yuan Zhang, Aidong Zhang
2013 A* conf
Learning, Analyzing and Predicting Object Roles on Dynamic Networks.
ICDM
Kang Li, Suxin Guo, Nan Du, Jing Gao, Aidong Zhang
2013 A* conf
Progression Analysis of Community Strengths in Dynamic Networks.
ICDM
Nan Du, Jing Gao, Aidong Zhang
2012 — conf
A collective NMF method for detecting protein functional module from multiple data sources.
BCB
Yuan Zhang, Nan Du, Liang Ge, Kebin Jia, Aidong Zhang
2012 — conf
A graph-based cluster ensemble method to detect protein functional modules from multiple information sources.
BCB
Yuan Zhang, Liang Ge, Nan Du, Guoqiang Fan, Kebin Jia, Aidong Zhang
2012 — conf
A link prediction based unsupervised rank aggregation algorithm for informative gene selection.
BIBM
Kang Li, Nan Du, Aidong Zhang
2012 — conf
De-noise biological network from heterogeneous sources via link propagation.
BIBM
Nan Du, Jing Gao, Vishrawas Gopalakrishnan, Aidong Zhang
2012 — conf
Detecting ECG abnormalities via transductive transfer learning.
BCB
Kang Li, Nan Du, Aidong Zhang
2012 — conf
Evolutionary analysis of functional modules in dynamic PPI networks.
BCB
Nan Du, Yuan Zhang, Kang Li, Jing Gao, Supriya D. Mahajan, Bindukumar B. Nair, Stanley A. Schwartz, Aidong Zhang
2012 — conf
Finding informative genes for prostate cancer: a general framework of integrating heterogeneous sources.
BCB
Liang Ge, Jing Gao, Nan Du, Aidong Zhang
2011 — conf
Finding Informative Genes from Multiple Microarray Experiments: A Graph-based Consensus Maximization Model.
BIBM
Liang Ge, Nan Du, Aidong Zhang
2011 — conf
Gene Co-Adaboost: a semi-supervised approach for classifying gene expression data.
BCB
Nan Du, Kang Li, Supriya D. Mahajan, Stanley A. Schwartz, Bindukumar B. Nair, Chiu Bin Hsiao, Aidong Zhang