Yan Li

Affiliations:
  • Alibaba Group, Bellevue, WA, USA
  • University of Michigan, Department of Computer Science, Ann Arbor, MI, USA (former)
  • Wayne State University, Department of Computer Science, Detroit, MI, USA (PhD)


According to our database1, Yan Li authored at least 20 papers between 2014 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Robust Time Series Dissimilarity Measure for Outlier Detection and Periodicity Detection.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Hybrid Causal Structure Learning Algorithm for Mixed-Type Data.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020
Fast RobustSTL: Efficient and Robust Seasonal-Trend Decomposition for Time Series with Complex Patterns.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
Multi-task learning based survival analysis for multi-source block-wise missing data.
Neurocomputing, 2019

Machine Learning for Survival Analysis: A Survey.
ACM Comput. Surv., 2019

2018
Multi-Task Learning based Survival Analysis for Predicting Alzheimer's Disease Progression with Multi-Source Block-wise Missing Data.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Learning Adversarial Networks for Semi-Supervised Text Classification via Policy Gradient.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017
Pre-Processing Censored Survival Data Using Inverse Covariance Matrix Based Calibration.
IEEE Trans. Knowl. Data Eng., 2017

Modeling Over-Dispersion for Network Data Clustering.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Multi-task Survival Analysis.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016
A distributed ensemble approach for mining healthcare data under privacy constraints.
Inf. Sci., 2016

Project Success Prediction in Crowdfunding Environments.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Regularized Parametric Regression for High-dimensional Survival Analysis.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Regularized Weighted Linear Regression for High-dimensional Censored Data.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

A Multi-Task Learning Formulation for Survival Analysis.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Poisson-Markov Mixture Model and Parallel Algorithm for Binning Massive and Heterogenous DNA Sequencing Reads.
Proceedings of the Bioinformatics Research and Applications - 12th International Symposium, 2016

Transfer Learning for Survival Analysis via Efficient L2, 1-Norm Regularized Cox Regression.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
Constrained elastic net based knowledge transfer for healthcare information exchange.
Data Min. Knowl. Discov., 2015

A Review of Clinical Prediction Models.
Proceedings of the Healthcare Data Analytics., 2015

2014
Active Learning based Survival Regression for Censored Data.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014


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