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Shipeng Yu
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- affiliation: Ludwig Maximilian University of Munich, Germany
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2020 – today
- 2023
- [c48]Da Xu
, Tobias Schnabel
Foreword for Workshop on Decision Making for Information Retrieval and Recommender Systems. WWW (Companion Volume) 2023: 920 - 2022
- [i4]Yiping Yuan, Jing Zhang, Shaunak Chatterjee, Shipeng Yu, Rómer Rosales:
A State Transition Model for Mobile Notifications via Survival Analysis. CoRR abs/2207.03099 (2022) - 2021
- [j14]Shipeng Yu:
An Interview with Dr. Shipeng Yu, Winner of ACM SIGKDD 2021 Service Award. SIGKDD Explor. 23(2): 1-2 (2021)
2010 – 2019
- 2019
- [c47]Rupesh Gupta, Guangde Chen, Shipeng Yu:
Internal Promotion Optimization. KDD 2019: 2358-2366 - [c46]Yiping Yuan, Jing Zhang, Shaunak Chatterjee, Shipeng Yu, Rómer Rosales:
A State Transition Model for Mobile Notifications via Survival Analysis. WSDM 2019: 123-131 - 2018
- [c45]Yan Gao, Viral Gupta, Jinyun Yan, Changji Shi, Zhongen Tao, P. J. Xiao, Curtis Wang, Shipeng Yu, Rómer Rosales, Ajith Muralidharan, Shaunak Chatterjee:
Near Real-time Optimization of Activity-based Notifications. KDD 2018: 283-292 - 2016
- [j13]Wenan Zhou, Yajun Huang, Shipeng Yu, Liyan You, Yu Du:
Research on the personalised QoE evaluation method for HTTP mobile streaming. Int. J. Commun. Networks Distributed Syst. 16(3): 197-214 (2016) - [j12]Xin Wang, Jinbo Bi, Shipeng Yu, Jiangwen Sun, Minghu Song:
Multiplicative Multitask Feature Learning. J. Mach. Learn. Res. 17: 80:1-80:33 (2016) - [j11]Volker Tresp, J. Marc Overhage
Going Digital: A Survey on Digitalization and Large-Scale Data Analytics in Healthcare. Proc. IEEE 104(11): 2180-2206 (2016) - [c44]Shipeng Yu, Evangelia Christakopoulou, Abhishek Gupta:
Identifying Decision Makers from Professional Social Networks. KDD 2016: 333-342 - [i3]Volker Tresp, J. Marc Overhage, Markus Bundschus, Shahrooz Rabizadeh, Peter A. Fasching, Shipeng Yu:
Going Digital: A Survey on Digitalization and Large Scale Data Analytics in Healthcare. CoRR abs/1606.08075 (2016) - [i2]Xin Wang, Jinbo Bi, Shipeng Yu, Jiangwen Sun:
On Multiplicative Multitask Feature Learning. CoRR abs/1610.07563 (2016) - 2015
- [j10]Shipeng Yu, Faisal Farooq, Alexander Van Esbroeck, Glenn Fung, Vikram Anand, Balaji Krishnapuram:
Predicting readmission risk with institution-specific prediction models. Artif. Intell. Medicine 65(2): 89-96 (2015) - [c43]Shipeng Yu, Wenan Zhou, Ran Tao, Yanjun Hou:
Modeling for Short-Form HTTP Adaptive Streaming Considering Memory Effect. BWCCA 2015: 82-87 - [p1]Shu Liao, Shipeng Yu, Matthias Wolf, Gerardo Hermosillo, Yiqiang Zhan, Yoshihisa Shinagawa, Zhigang Peng, Xiang Sean Zhou, Luca Bogoni, Marcos Salganicoff:
Computer-Assisted Medical Image Analysis Systems. Healthcare Data Analytics 2015: 657-683 - 2014
- [c42]Shipeng Yu, J. Marc Overhage, Paul C. Tang:
Operationalizing patient-generated health data: Home blood pressure monitoring as an example. AMIA 2014 - [c41]Xin Wang, Jinbo Bi, Shipeng Yu, Jiangwen Sun:
On Multiplicative Multitask Feature Learning. NIPS 2014: 2411-2419 - [i1]Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu:
Coarse-to-Fine Classification via Parametric and Nonparametric Models for Computer-Aided Diagnosis. CoRR abs/1405.4308 (2014) - 2013
- [c40]Shipeng Yu, Alexander Van Esbroeck, Faisal Farooq, Glenn Fung, Vikram Anand, Balaji Krishnapuram:
Predicting Readmission Risk with Institution Specific Prediction Models. ICHI 2013: 415-420 - 2012
- [j9]Vikas C. Raykar, Shipeng Yu:
Eliminating Spammers and Ranking Annotators for Crowdsourced Labeling Tasks. J. Mach. Learn. Res. 13: 491-518 (2012) - [j8]Faisal Farooq, Shipeng Yu, Balaji Krishnapuram, Bharat Rao:
Knowledge discovery system for automated quality abstraction. SIGHIT Rec. 2(1): 17 (2012) - [j7]Shipeng Yu, Bharat Rao:
Introduction to the special section on clinical data mining. SIGKDD Explor. 14(1): 1-3 (2012) - [c39]Shipeng Yu, Faisal Farooq, Glenn Fung, Balaji Krishnapuram, Alexander Van Esbroeck, Vikram Anand:
Building Hospital-Specific Readmission Risk Prediction Models for Heart Failure, Acute Myocardial Infarction and Pneumonia patients. AMIA 2012 - 2011
- [j6]Shipeng Yu, Jinbo Bi, Jieping Ye:
Matrix-variate and higher-order probabilistic projections. Data Min. Knowl. Discov. 22(3): 372-392 (2011) - [j5]Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, R. Bharat Rao:
Bayesian Co-Training. J. Mach. Learn. Res. 12: 2649-2680 (2011) - [j4]Faisal Farooq, Balaji Krishnapuram, Rómer Rosales, Shipeng Yu, Jude W. Shavlik, Raju Kucherlapati:
Predictive Models in Personalized Medicine: Neural Information Processing Systems (NIPS), 2010 workshop report. SIGHIT Rec. 1(1): 23-25 (2011) - [c38]Meizhu Liu, Le Lu
Coarse-to-fine classification via parametric and nonparametric models for computer-aided diagnosis. CIKM 2011: 2509-2512 - [c37]Meizhu Liu, Le Lu
Sparse Classification for Computer Aided Diagnosis Using Learned Dictionaries. MICCAI (3) 2011: 41-48 - [c36]Vikas C. Raykar, Shipeng Yu:
Ranking annotators for crowdsourced labeling tasks. NIPS 2011: 1809-1817 - 2010
- [j3]Vikas C. Raykar, Shipeng Yu, Linda H. Zhao, Gerardo Hermosillo Valadez, Charles Florin, Luca Bogoni, Linda Moy:
Learning From Crowds. J. Mach. Learn. Res. 11: 1297-1322 (2010) - [j2]Shuiwang Ji
A shared-subspace learning framework for multi-label classification. ACM Trans. Knowl. Discov. Data 4(2): 8:1-8:29 (2010) - [c35]Mingmin Chi, Xisheng He, Shipeng Yu:
Mixture model label propagation. CIKM 2010: 1889-1892 - [c34]Vikas C. Raykar, Balaji Krishnapuram, Shipeng Yu:
Designing efficient cascaded classifiers: tradeoff between accuracy and cost. KDD 2010: 853-860
2000 – 2009
- 2009
- [c33]Le Lu
Hierarchical learning for tubular structure parsing in medical imaging: A study on coronary arteries using 3D CT Angiography. ICCV 2009: 2021-2028 - [c32]Markus Bundschus, Shipeng Yu, Volker Tresp, Achim Rettinger, Mathäus Dejori, Hans-Peter Kriegel:
Hierarchical Bayesian Models for Collaborative Tagging Systems. ICDM 2009: 728-733 - [c31]Vikas C. Raykar, Shipeng Yu, Linda H. Zhao, Anna K. Jerebko, Charles Florin, Gerardo Hermosillo Valadez, Luca Bogoni, Linda Moy:
Supervised learning from multiple experts: whom to trust when everyone lies a bit. ICML 2009: 889-896 - [c30]Andre Dekker
Survival Prediction in Lung Cancer Treated with Radiotherapy: Bayesian Networks vs. Support Vector Machines in Handling Missing Data. ICMLA 2009: 494-497 - [c29]Liang Sun, Shuiwang Ji, Shipeng Yu, Jieping Ye:
On the Equivalence between Canonical Correlation Analysis and Orthonormalized Partial Least Squares. IJCAI 2009: 1230-1235 - [c28]Zheng Zhao, Liang Sun, Shipeng Yu, Huan Liu, Jieping Ye:
Multiclass Probabilistic Kernel Discriminant Analysis. IJCAI 2009: 1363-1368 - [c27]Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, R. Bharat Rao:
Active Sensing. AISTATS 2009: 639-646 - 2008
- [c26]Lucian Vlad Lita, Shipeng Yu, Radu Stefan Niculescu, Jinbo Bi:
Large Scale Diagnostic Code Classification for Medical Patient Records. IJCNLP 2008: 877-882 - [c25]Shuiwang Ji
Extracting shared subspace for multi-label classification. KDD 2008: 381-389 - [c24]Shipeng Yu, Glenn Fung, Rómer Rosales, Sriram Krishnan, R. Bharat Rao, Cary Dehing-Oberije, Philippe Lambin:
Privacy-preserving cox regression for survival analysis. KDD 2008: 1034-1042 - [c23]Jinbo Bi, Tao Xiong, Shipeng Yu, Murat Dundar, R. Bharat Rao:
An Improved Multi-task Learning Approach with Applications in Medical Diagnosis. ECML/PKDD (1) 2008: 117-132 - 2007
- [c22]Mingrui Wu, Kai Yu, Shipeng Yu, Bernhard Schölkopf:
Local learning projections. ICML 2007: 1039-1046 - [c21]Shipeng Yu, Volker Tresp, Kai Yu:
Robust multi-task learning with t-processes. ICML 2007: 1103-1110 - [c20]Jian-Wu Xu, Shipeng Yu, Jinbo Bi, Lucian Vlad Lita, Radu Stefan Niculescu, R. Bharat Rao:
Automatic medical coding of patient records via weighted ridge regression. ICMLA 2007: 260-265 - [c19]Zhao Xu, Volker Tresp, Shipeng Yu, Kai Yu, Hans-Peter Kriegel:
Fast Inference in Infinite Hidden Relational Models. MLG 2007 - [c18]Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, Harald Steck, R. Bharat Rao:
Bayesian Co-Training. NIPS 2007: 1665-1672 - 2006
- [b1]Shipeng Yu:
Advanced probabilistic models for clustering and projection. Ludwig Maximilian University of Munich, Germany, 2006, pp. 1-164 - [j1]Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel:
Multi-Output Regularized Feature Projection. IEEE Trans. Knowl. Data Eng. 18(12): 1600-1613 (2006) - [c17]Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel:
Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures. ECML 2006: 841-848 - [c16]Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel:
Collaborative ordinal regression. ICML 2006: 1089-1096 - [c15]Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel, Mingrui Wu:
Supervised probabilistic principal component analysis. KDD 2006: 464-473 - [c14]Kai Yu, Wei Chu, Shipeng Yu, Volker Tresp, Zhao Xu:
Stochastic Relational Models for Discriminative Link Prediction. NIPS 2006: 1553-1560 - 2005
- [c13]Kai Yu, Shipeng Yu, Volker Tresp:
Dirichlet Enhanced Latent Semantic Analysis. AISTATS 2005: 437-444 - [c12]Kai Yu, Shipeng Yu, Volker Tresp:
Multi-Output Regularized Projection. CVPR (2) 2005: 597-602 - [c11]Yi Huang, Kai Yu, Matthias Schubert, Shipeng Yu, Volker Tresp, Hans-Peter Kriegel:
Hierarchy-Regularized Latent Semantic Indexing. ICDM 2005: 178-185 - [c10]Zhao Xu, Volker Tresp, Kai Yu, Shipeng Yu, Hans-Peter Kriegel:
Dirichlet enhanced relational learning. ICML 2005: 1004-1011 - [c9]Shipeng Yu, Kai Yu, Volker Tresp:
Soft Clustering on Graphs. NIPS 2005: 1553-1560 - [c8]Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel:
A Probabilistic Clustering-Projection Model for Discrete Data. PKDD 2005: 417-428 - [c7]Kai Yu, Shipeng Yu, Volker Tresp:
Multi-label informed latent semantic indexing. SIGIR 2005: 258-265 - 2004
- [c6]Kai Yu, Shipeng Yu, Volker Tresp:
Dirichlet Enhanced Latent Semantic Analysis. LWA 2004: 221-226 - [c5]Kai Yu, Volker Tresp, Shipeng Yu:
A nonparametric hierarchical bayesian framework for information filtering. SIGIR 2004: 353-360 - [c4]Deng Cai, Shipeng Yu, Ji-Rong Wen, Wei-Ying Ma:
Block-based web search. SIGIR 2004: 456-463 - 2003
- [c3]Deng Cai, Shipeng Yu, Ji-Rong Wen, Wei-Ying Ma:
Extracting Content Structure for Web Pages Based on Visual Representation. APWeb 2003: 406-417 - [c2]Ji-Rong Wen, Ruihua Song, Deng Cai, Kaihua Zhu, Shipeng Yu, Shaozhi Ye, Wei-Ying Ma:
Microsoft Research Asia at the Web Track of TREC 2003. TREC 2003: 408-417 - [c1]Shipeng Yu, Deng Cai, Ji-Rong Wen, Wei-Ying Ma:
Improving pseudo-relevance feedback in web information retrieval using web page segmentation. WWW 2003: 11-18
Coauthor Index
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