Shipeng Yu

Orcid: 0000-0002-0262-4031

Affiliations:
  • Ludwig Maximilian University of Munich, Germany


According to our database1, Shipeng Yu authored at least 63 papers between 2003 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Foreword for Workshop on Decision Making for Information Retrieval and Recommender Systems.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

2021
An Interview with Dr. Shipeng Yu, Winner of ACM SIGKDD 2021 Service Award.
SIGKDD Explor., 2021

2019
A State Transition Model for Mobile Notifications via Survival Analysis.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Internal Promotion Optimization.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
Near Real-time Optimization of Activity-based Notifications.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2016
Going Digital: A Survey on Digitalization and Large-Scale Data Analytics in Healthcare.
Proc. IEEE, 2016

Multiplicative Multitask Feature Learning.
J. Mach. Learn. Res., 2016

Research on the personalised QoE evaluation method for HTTP mobile streaming.
Int. J. Commun. Networks Distributed Syst., 2016

Identifying Decision Makers from Professional Social Networks.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015
Predicting readmission risk with institution-specific prediction models.
Artif. Intell. Medicine, 2015

Modeling for Short-Form HTTP Adaptive Streaming Considering Memory Effect.
Proceedings of the 10th International Conference on Broadband and Wireless Computing, 2015

Computer-Assisted Medical Image Analysis Systems.
Proceedings of the Healthcare Data Analytics., 2015

2014
Coarse-to-Fine Classification via Parametric and Nonparametric Models for Computer-Aided Diagnosis.
CoRR, 2014

On Multiplicative Multitask Feature Learning.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Operationalizing patient-generated health data: Home blood pressure monitoring as an example.
Proceedings of the AMIA 2014, 2014

2012
Introduction to the special section on clinical data mining.
SIGKDD Explor., 2012

Knowledge discovery system for automated quality abstraction.
SIGHIT Rec., 2012

Eliminating Spammers and Ranking Annotators for Crowdsourced Labeling Tasks.
J. Mach. Learn. Res., 2012

Building Hospital-Specific Readmission Risk Prediction Models for Heart Failure, Acute Myocardial Infarction and Pneumonia patients.
Proceedings of the AMIA 2012, 2012

2011
Predictive Models in Personalized Medicine: Neural Information Processing Systems (NIPS), 2010 workshop report.
SIGHIT Rec., 2011

Bayesian Co-Training.
J. Mach. Learn. Res., 2011

Matrix-variate and higher-order probabilistic projections.
Data Min. Knowl. Discov., 2011

Ranking annotators for crowdsourced labeling tasks.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Sparse Classification for Computer Aided Diagnosis Using Learned Dictionaries.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Coarse-to-fine classification via parametric and nonparametric models for computer-aided diagnosis.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
A shared-subspace learning framework for multi-label classification.
ACM Trans. Knowl. Discov. Data, 2010

Learning From Crowds.
J. Mach. Learn. Res., 2010

Designing efficient cascaded classifiers: tradeoff between accuracy and cost.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Mixture model label propagation.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Active Sensing.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Multiclass Probabilistic Kernel Discriminant Analysis.
Proceedings of the IJCAI 2009, 2009

On the Equivalence between Canonical Correlation Analysis and Orthonormalized Partial Least Squares.
Proceedings of the IJCAI 2009, 2009

Survival Prediction in Lung Cancer Treated with Radiotherapy: Bayesian Networks vs. Support Vector Machines in Handling Missing Data.
Proceedings of the International Conference on Machine Learning and Applications, 2009

Supervised learning from multiple experts: whom to trust when everyone lies a bit.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Hierarchical Bayesian Models for Collaborative Tagging Systems.
Proceedings of the ICDM 2009, 2009

Hierarchical learning for tubular structure parsing in medical imaging: A study on coronary arteries using 3D CT Angiography.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008
An Improved Multi-task Learning Approach with Applications in Medical Diagnosis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Privacy-preserving cox regression for survival analysis.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Extracting shared subspace for multi-label classification.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Large Scale Diagnostic Code Classification for Medical Patient Records.
Proceedings of the Third International Joint Conference on Natural Language Processing, 2008

2007
Bayesian Co-Training.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Fast Inference in Infinite Hidden Relational Models.
Proceedings of the Mining and Learning with Graphs, 2007

Automatic medical coding of patient records via weighted ridge regression.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Robust multi-task learning with <i>t</i>-processes.
Proceedings of the Machine Learning, 2007

Local learning projections.
Proceedings of the Machine Learning, 2007

2006
Advanced probabilistic models for clustering and projection.
PhD thesis, 2006

Multi-Output Regularized Feature Projection.
IEEE Trans. Knowl. Data Eng., 2006

Stochastic Relational Models for Discriminative Link Prediction.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Supervised probabilistic principal component analysis.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Collaborative ordinal regression.
Proceedings of the Machine Learning, 2006

Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures.
Proceedings of the Machine Learning: ECML 2006, 2006

2005
Multi-label informed latent semantic indexing.
Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

A Probabilistic Clustering-Projection Model for Discrete Data.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Soft Clustering on Graphs.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Dirichlet enhanced relational learning.
Proceedings of the Machine Learning, 2005

Hierarchy-Regularized Latent Semantic Indexing.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Multi-Output Regularized Projection.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Dirichlet Enhanced Latent Semantic Analysis.
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004
A nonparametric hierarchical bayesian framework for information filtering.
Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

Block-based web search.
Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

2003
Improving pseudo-relevance feedback in web information retrieval using web page segmentation.
Proceedings of the Twelfth International World Wide Web Conference, 2003

Microsoft Research Asia at the Web Track of TREC 2003.
Proceedings of The Twelfth Text REtrieval Conference, 2003

Extracting Content Structure for Web Pages Based on Visual Representation.
Proceedings of the Web Technologies and Applications, 5th Asian-Pacific Web Conference, 2003


  Loading...