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ORCIDNan Du 0001
Person information
- affiliation: Baidu Research Big Data Lab, Sunnyvale, CA, USA
- affiliation (Ph.D.): State University of New York at Buffalo, NY, USA
Other persons with the same name
- Nan Du (aka: Du Nan) — disambiguation page
- Nan Du 0002 — Google (and 1 more)
- Nan Du 0003
![[0000-0003-2855-7452]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2855-7452")
— Meta Platform, Inc. (and 2 more)
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2020 – today
- 2024
[j9]Zizhu Liu, Qing Cao, Nan Du, Huizhen Shu, Erheng Zhong, Nan Jiang, Qiaoran Chen, Ying Shen, Kang Chen:
FIT-graph: A multi-grained evolutionary graph based framework for disease diagnosis. Artif. Intell. Medicine 147: 102735 (2024)- 2021
- [j8]Qing Cao, Nan Du, Li Yu, Ming Zuo, Jingsheng Lin, Nathan Liu, Erheng Zhong, Zizhu Liu, Qiaoran Chen, Ying Shen, Kang Chen:
Practical fine-grained learning based anomaly classification for ECG image. Artif. Intell. Medicine 119: 102130 (2021) - [j7]Nan Du, Qing Cao, Li Yu, Nathan Liu, Erheng Zhong, Zizhu Liu, Ying Shen, Kang Chen:
FM-ECG: A fine-grained multi-label framework for ECG image classification. Inf. Sci. 549: 164-177 (2021) - [j6]Xiaowei Jia, Xiaoyi Li, Nan Du, Yuan Zhang, Vishrawas Gopalakrishnan, Guangxu Xun, Aidong Zhang:
Tracking Community Consistency in Dynamic Networks: An Influence-Based Approach. IEEE Trans. Knowl. Data Eng. 33(2): 782-795 (2021) - [c42]Kishlay Jha, Guangxu Xun, Nan Du, Aidong Zhang:
Knowledge-Guided Efficient Representation Learning for Biomedical Domain. KDD 2021: 3077-3085 - 2020
- [j5]Yaliang Li, Chaochun Liu, Nan Du, Wei Fan, Qi Li, Jing Gao, Chenwei Zhang, Hao Wu:
Extracting Medical Knowledge from Crowdsourced Question Answering Website. IEEE Trans. Big Data 6(2): 309-321 (2020) - [c41]Sheng Shen, Yaliang Li, Nan Du, Xian Wu, Yusheng Xie, Shen Ge, Tao Yang, Kai Wang, Xingzheng Liang, Wei Fan:
On the Generation of Medical Question-Answer Pairs. AAAI 2020: 8822-8829 - [c40]Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu:
Entity Synonym Discovery via Multipiece Bilateral Context Matching. IJCAI 2020: 1431-1437
2010 – 2019
- 2019
- [j4]Ying Shen, Kaiqi Yuan, Min Yang, Buzhou Tang, Yaliang Li, Nan Du, Kai Lei:
KMR: knowledge-oriented medicine representation learning for drug-drug interaction and similarity computation. J. Cheminformatics 11(1): 22:1-22:16 (2019) - [c39]Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen:
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering. AAAI 2019: 6318-6325 - [c38]Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip S. Yu:
Multi-grained Named Entity Recognition. ACL (1) 2019: 1430-1440 - [c37]Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu:
Joint Slot Filling and Intent Detection via Capsule Neural Networks. ACL (1) 2019: 5259-5267 - [c36]Yang Deng, Yaliang Li, Ying Shen, Nan Du, Wei Fan, Min Yang, Kai Lei:
MedTruth: A Semi-supervised Approach to Discovering Knowledge Condition Information from Multi-Source Medical Data. CIKM 2019: 719-728 - [c35]Ying Shen, Desi Wen, Yaliang Li, Nan Du, Haitao Zheng, Min Yang:
Path-based Attribute-aware Representation Learning for Relation Prediction. SDM 2019: 639-647 - [c34]Fenglong Ma, Yaliang Li, Chenwei Zhang, Jing Gao, Nan Du, Wei Fan:
MCVAE: Margin-based Conditional Variational Autoencoder for Relation Classification and Pattern Generation. WWW 2019: 3041-3048 - [i10]Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu:
SynonymNet: Multi-context Bilateral Matching for Entity Synonyms. CoRR abs/1901.00056 (2019) - [i9]Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip S. Yu:
Multi-Grained Named Entity Recognition. CoRR abs/1906.08449 (2019) - 2018
- [c33]Ying Shen, Kaiqi Yuan, Yaliang Li, Buzhou Tang, Min Yang, Nan Du, Kai Lei:
Drug2Vec: Knowledge-aware Feature-driven Method for Drug Representation Learning. BIBM 2018: 757-800 - [c32]Kai Lei, Daoyuan Chen, Yaliang Li, Nan Du, Min Yang, Wei Fan, Ying Shen:
Cooperative Denoising for Distantly Supervised Relation Extraction. COLING 2018: 426-436 - [c31]Yang Deng, Ying Shen, Min Yang, Yaliang Li, Nan Du, Wei Fan, Kai Lei:
Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge. COLING 2018: 3295-3305 - [c30]Ye Yuan, Guangxu Xun, Fenglong Ma, Yaqing Wang, Nan Du, Kebin Jia, Lu Su, Aidong Zhang:
MuVAN: A Multi-view Attention Network for Multivariate Temporal Data. ICDM 2018: 717-726 - [c29]Ying Shen, Yang Deng, Jin Zhang, Yaliang Li, Nan Du, Wei Fan, Min Yang, Kai Lei:
IDDAT: An Ontology-Driven Decision Support System for Infectious Disease Diagnosis and Therapy. ICDM Workshops 2018: 1417-1422 - [c28]Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu:
On the Generative Discovery of Structured Medical Knowledge. KDD 2018: 2720-2728 - [c27]Ying Shen, Daoyuan Chen, Min Yang, Yaliang Li, Nan Du, Kai Lei:
Ontology Evaluation with Path-based Text-aware Entropy Computation. SIGIR 2018: 881-884 - [c26]Ying Shen, Yang Deng, Min Yang, Yaliang Li, Nan Du, Wei Fan, Kai Lei:
Knowledge-aware Attentive Neural Network for Ranking Question Answer Pairs. SIGIR 2018: 901-904 - [i8]Wentao Zhu, Yufang Huang, Hui Tang, Zhen Qian, Nan Du, Wei Fan, Xiaohui Xie:
AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation. CoRR abs/1808.05238 (2018) - [i7]Yang Deng, Yaliang Li, Nan Du, Wei Fan, Ying Shen, Kai Lei:
When Truth Discovery Meets Medical Knowledge Graph: Estimating Trustworthiness Degree for Medical Knowledge Condition. CoRR abs/1809.10404 (2018) - [i6]Yaliang Li, Liuyi Yao, Nan Du, Jing Gao, Qi Li, Chuishi Meng, Chenwei Zhang, Wei Fan:
Finding Similar Medical Questions from Question Answering Websites. CoRR abs/1810.05983 (2018) - [i5]Sheng Shen, Yaliang Li, Nan Du, Xian Wu, Yusheng Xie, Shen Ge, Tao Yang, Kai Wang, Xingzheng Liang, Wei Fan:
On the Generation of Medical Question-Answer Pairs. CoRR abs/1811.00681 (2018) - [i4]Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen:
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering. CoRR abs/1812.02354 (2018) - [i3]Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu:
Joint Slot Filling and Intent Detection via Capsule Neural Networks. CoRR abs/1812.09471 (2018) - 2017
- [c25]Chenwei Zhang, Nan Du, Wei Fan, Yaliang Li, Chun-Ta Lu, Philip S. Yu:
Bringing semantic structures to user intent detection in online medical queries. IEEE BigData 2017: 1019-1026 - [c24]Yaliang Li, Nan Du, Chaochun Liu, Yusheng Xie, Wei Fan, Qi Li, Jing Gao, Huan Sun:
Reliable Medical Diagnosis from Crowdsourcing: Discover Trustworthy Answers from Non-Experts. WSDM 2017: 253-261 - [i2]Chenwei Zhang, Nan Du, Wei Fan, Yaliang Li, Chun-Ta Lu, Philip S. Yu:
Bringing Semantic Structures to User Intent Detection in Online Medical Queries. CoRR abs/1710.08015 (2017) - 2016
- [c23]Xiaowei Jia, Xiaoyi Li, Nan Du, Yuan Zhang, Vishrawas Gopalakrishnan, Guangxu Xun, Aidong Zhang:
Influence based analysis of community consistency in dynamic networks. ASONAM 2016: 1-8 - [c22]Chaochun Liu, Huan Sun, Nan Du, Shulong Tan, Hongliang Fei, Wei Fan, Tao Yang, Hao Wu, Yaliang Li, Chenwei Zhang:
Augmented LSTM Framework to Construct Medical Self-Diagnosis Android. ICDM 2016: 251-260 - [c21]Chenwei Zhang, Wei Fan, Nan Du, Philip S. Yu:
Mining User Intentions from Medical Queries: A Neural Network Based Heterogeneous Jointly Modeling Approach. WWW 2016: 1373-1384 - [i1]Yusheng Xie, Nan Du, Wei Fan, Jing Zhai, Weicheng Zhu:
Variational hybridization and transformation for large inaccurate noisy-or networks. CoRR abs/1605.06181 (2016) - 2015
- [j3]Yuan Zhang, Yue Cheng, Liang Ge, Nan Du, Kebin Jia, Aidong Zhang:
A graph-based integrative method of detecting consistent protein functional modules from multiple data sources. Int. J. Data Min. Bioinform. 13(2): 122-140 (2015) - [j2]Nan Du, Marc R. Knecht, Mark T. Swihart, Zhenghua Tang, Tiffany R. Walsh, Aidong Zhang:
Identifying Affinity Classes of Inorganic Materials Binding Sequences via a Graph-Based Model. IEEE ACM Trans. Comput. Biol. Bioinform. 12(1): 193-204 (2015) - [j1]Nan Du, Xiaowei Jia, Jing Gao, Vishrawas Gopalakrishnan, Aidong Zhang:
Tracking Temporal Community Strength in Dynamic Networks. IEEE Trans. Knowl. Data Eng. 27(11): 3125-3137 (2015) - [c20]Nan Du, Jing Gao, Liang Ge, Vishrawas Gopalakrishnan, Xiaowei Jia, Kang Li, Aidong Zhang:
Significant Edge Detection in Target Network by Exploring Multiple Auxiliary Networks. ASONAM 2015: 210-217 - [c19]Xiatian Zhang, Wei Fan, Nan Du:
Random Decision Hashing for Massive Data Learning. BigMine 2015: 65-80 - [c18]Kang Li, Jing Gao, Suxin Guo, Nan Du, Aidong Zhang:
Functional Node Detection on Linked Data. SDM 2015: 1-9 - 2014
- [c17]Xiaowei Jia, Nan Du, Jing Gao, Aidong Zhang:
Analysis on Community Variational Trend in Dynamic Networks. CIKM 2014: 151-160 - [c16]Kang Li, Jing Gao, Suxin Guo, Nan Du, Xiaoyi Li, Aidong Zhang:
LRBM: A Restricted Boltzmann Machine Based Approach for Representation Learning on Linked Data. ICDM 2014: 300-309 - [c15]Xiaoyi Li, Nan Du, Hui Li, Kang Li, Jing Gao, Aidong Zhang:
A Deep Learning Approach to Link Prediction in Dynamic Networks. SDM 2014: 289-297 - 2013
- [c14]Nan Du, Marc R. Knecht, Paras N. Prasad, Mark T. Swihart, Tiffany R. Walsh, Aidong Zhang:
A Framework for Identifying Affinity Classes of Inorganic Materials Binding Peptide Sequences. BCB 2013: 545 - [c13]Yuan Zhang, Nan Du, Kang Li, Jinchao Feng, Kebin Jia, Aidong Zhang:
Critical protein detection in dynamic PPI networks with multi-source integrated deep belief nets. BIBM 2013: 29-36 - [c12]Nan Du, Xiaoyi Li, Yuan Zhang, Aidong Zhang:
Detecting mutual functional gene clusters from multiple related diseases. BIBM 2013: 159-164 - [c11]Kang Li, Suxin Guo, Nan Du, Jing Gao, Aidong Zhang:
Learning, Analyzing and Predicting Object Roles on Dynamic Networks. ICDM 2013: 428-437 - [c10]Nan Du, Jing Gao, Aidong Zhang:
Progression Analysis of Community Strengths in Dynamic Networks. ICDM 2013: 1031-1036 - 2012
- [c9]Kang Li, Nan Du, Aidong Zhang:
Detecting ECG abnormalities via transductive transfer learning. BCB 2012: 210-217 - [c8]Nan Du, Yuan Zhang, Kang Li, Jing Gao, Supriya D. Mahajan, Bindukumar B. Nair, Stanley A. Schwartz, Aidong Zhang:
Evolutionary analysis of functional modules in dynamic PPI networks. BCB 2012: 250-257 - [c7]Liang Ge, Jing Gao, Nan Du, Aidong Zhang:
Finding informative genes for prostate cancer: a general framework of integrating heterogeneous sources. BCB 2012: 274-281 - [c6]Yuan Zhang, Liang Ge, Nan Du, Guoqiang Fan, Kebin Jia, Aidong Zhang:
A graph-based cluster ensemble method to detect protein functional modules from multiple information sources. BCB 2012: 567-569 - [c5]Yuan Zhang, Nan Du, Liang Ge, Kebin Jia, Aidong Zhang:
A collective NMF method for detecting protein functional module from multiple data sources. BCB 2012: 655-660 - [c4]Nan Du, Jing Gao, Vishrawas Gopalakrishnan, Aidong Zhang:
De-noise biological network from heterogeneous sources via link propagation. BIBM 2012: 1-6 - [c3]Kang Li, Nan Du, Aidong Zhang:
A link prediction based unsupervised rank aggregation algorithm for informative gene selection. BIBM 2012: 1-6 - 2011
- [c2]Nan Du, Kang Li, Supriya D. Mahajan, Stanley A. Schwartz, Bindukumar B. Nair, Chiu Bin Hsiao, Aidong Zhang:
Gene Co-Adaboost: a semi-supervised approach for classifying gene expression data. BCB 2011: 531-535 - [c1]Liang Ge, Nan Du, Aidong Zhang:
Finding Informative Genes from Multiple Microarray Experiments: A Graph-based Consensus Maximization Model. BIBM 2011: 506-511
Coauthor Index
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