Cheng Li
Cheng Li
CodaMetrix
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Title
Cited by
Cited by
Year
Conditional Bernoulli Mixtures for Multi-Label Classification
C Li, B Wang, V Pavlu, JA Aslam
Proceedings of the 33rd International Conference on Machine Learning, 2016
412016
A Gentle Introduction to Gradient Boosting
C Li
URL: http://www. ccs. neu. edu/home/vip/teach/MLcourse/4_ boosting/slides …, 2014
352014
The impact of long-term PM 2.5 exposure on specific causes of death: exposure-response curves and effect modification among 53 million US Medicare beneficiaries
B Wang, KD Eum, F Kazemiparkouhi, C Li, J Manjourides, V Pavlu, H Suh
Environmental Health 19 (1), 1-12, 2020
242020
Adapting RNN Sequence Prediction Model to Multi-label Set Prediction
K Qin, C Li, V Pavlu, JA Aslam
arXiv preprint arXiv:1904.05829, 2019
152019
Extension of a class of decomposable measures using fuzzy pseudometrics
D Qiu, W Zhang, C Li
Fuzzy Sets and Systems 222, 33-44, 2013
152013
On the distributivity of fuzzy implications over continuous Archimedean t-conorms and continuous t-conorms given as ordinal sums
A Xie, H Liu, F Zhang, C Li
Fuzzy Sets and Systems 205, 76-100, 2012
142012
On decomposable measures constructed by using stationary fuzzy pseudo-ultrametrics
D Qiu, W Zhang, C Li
International Journal of General Systems 42 (4), 395-404, 2013
122013
Distributive equations of fuzzy implications based on continuous triangular conorms given as ordinal sums
A Xie, C Li, H Liu
IEEE Transactions on Fuzzy Systems 21 (3), 541-554, 2012
122012
Fully implicational methods for interval-valued fuzzy reasoning with multi-antecedent rules
HW Liu, C Li
International Journal of Computational Intelligence Systems 4 (5), 929-945, 2011
82011
A Pipeline for Optimizing F1-Measure in Multi-label Text Classification
B Wang, C Li, V Pavlu, J Aslam
2018 17th IEEE International Conference on Machine Learning and Applications …, 2018
52018
Learning to calibrate and rerank multi-label predictions
C Li, V Pavlu, J Aslam, B Wang, K Qin
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019
32019
An Empirical Study of Skip-Gram Features and Regularization for Learning on Sentiment Analysis
C Li, B Wang, V Pavlu, JA Aslam
Advances in Information Retrieval, 72-87, 2016
32016
A Complex KBQA System using Multiple Reasoning Paths
K Qin, Y Wang, C Li, K Gunaratna, H Jin, V Pavlu, JA Aslam
arXiv preprint arXiv:2005.10970, 2020
22020
Regularizing Model Complexity and Label Structure for Multi-Label Text Classification
B Wang, C Li, V Pavlu, J Aslam
arXiv preprint arXiv:1705.00740, 2017
22017
Correction and improvement on several results in quantitative logic
C Li, HW Liu, GJ Wang
Information Sciences 278, 555-558, 2014
22014
On nonlinear functional spaces based on triangular conorms
D Qiu, W Zhang, C Li
Journal of Mathematical Analysis and Applications 397 (2), 671-677, 2013
12013
Supervised Learning in the Presence of Noise: Application in ICD-10 Code Classification
Y Kim, C Li, B Ye, A Tahmasebi, J Aslam
arXiv preprint arXiv:2103.07808, 2021
2021
Reduction Methods for Multi-Label Classification
C Li
Northeastern University, 2019
2019
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