Cheng Li
Principal Data Scientist at CodaMetrix
PhD, Northeastern University, 2019
Email: cheng@codametrix.com
Github, 
Linkedin
Research Interest
Machine Learning
Selected Publications
- Learning
to Calibrate and Rerank Multi-label Predictions.
Cheng Li, Virgil Pavlu, Javed
Aslam, Bingyu Wang, and Kechen Qin
Joint European Conference on Machine Learning and Knowledge
Discovery in Databases (ECML PKDD), Würzburg, Germany, 2019.
- Adapting
RNN Sequence Prediction Model to Multi-label Set
Prediction.
Kechen Qin, Cheng Li, Virgil Pavlu, and
Javed Aslam.
Annual Conference of the North American Chapter of the
Association for Computational Linguistics: Human Language
Technologies (NAACL-HLT), Minneapolis, 2019.
- A
Pipeline for Optimizing F1-Measure in Multi-Label
Text Classification.
Bingyu Wang,
Cheng Li, Virgil Pavlu, and Javed Aslam.
IEEE International Conference on Machine Learning and
Applications (ICMLA), 2018
- Conditional
Bernoulli Mixtures for Multi-label Classification.
Cheng Li, Bingyu Wang, Virgil
Pavlu, and Javed Aslam.
International Conference on Machine Learning (ICML),
New York City, NY, 2016.
- An
Empirical Study of Skip-gram Features and
Regularization for Learning on Sentiment Analysis.
Cheng Li, Bingyu Wang, Virgil
Pavlu, and Javed Aslam.
European Conference on Information Retrieval (ECIR),
Padova, Italy, 2016.
Tutorials