kewei cheng
kewei cheng
Ph.D. Student at UCLA
Verified email at g.ucla.edu
Title
Cited by
Cited by
Year
Feature selection: A data perspective
J Li, K Cheng, S Wang, F Morstatter, RP Trevino, J Tang, H Liu
ACM Computing Surveys (CSUR) 50 (6), 1-45, 2017
10082017
Design of high-performance water-in-glass evacuated tube solar water heaters by a high-throughput screening based on machine learning: A combined modeling and experimental study
Z Liu, H Li, K Liu, H Yu, K Cheng
Solar Energy 142, 61-67, 2017
1272017
Secureboost: A lossless federated learning framework
K Cheng, T Fan, Y Jin, Y Liu, T Chen, Q Yang
arXiv preprint arXiv:1901.08755, 2019
1022019
Exploring the potential relationship between indoor air quality and the concentration of airborne culturable fungi: a combined experimental and neural network modeling study
Z Liu, K Cheng, H Li, G Cao, D Wu, Y Shi
Environmental Science and Pollution Research 25 (4), 3510-3517, 2018
632018
Unsupervised Sentiment Analysis with Signed Social Networks
K Cheng, J Li, J Tang, H Liu
AAAI, 2017
372017
Streaming link prediction on dynamic attributed networks
J Li, K Cheng, L Wu, H Liu
Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018
332018
Unsupervised feature selection in signed social networks
K Cheng, J Li, H Liu
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
322017
Novel method for measuring the heat collection rate and heat loss coefficient of water-in-glass evacuated tube solar water heaters based on artificial neural networks and …
Z Liu, H Li, X Zhang, G Jin, K Cheng
Energies 8 (8), 8814-8834, 2015
302015
Comparative study on theoretical and machine learning methods for acquiring compressed liquid densities of 1, 1, 1, 2, 3, 3, 3-heptafluoropropane (r227ea) via song and mason …
H Li, X Tang, R Wang, F Lin, Z Liu, K Cheng
Applied Sciences 6 (1), 25, 2016
292016
Prediction of zeta potential of decomposed peat via machine learning: comparative study of support vector machine and artificial neural networks
H Li, F Chen, K Cheng, Z Zhao, D Yang
Int. J. Electrochem. Sci 10 (8), 6044-6056, 2015
192015
Periodic sweep coverage scheme based on periodic vehicle routing problem
L Shu, K Cheng, X Zhang, J Zhou
Journal of Networks 9 (3), 726, 2014
172014
Artificial neural networks-based software for measuring heat collection rate and heat loss coefficient of water-in-glass evacuated tube solar water heaters
Z Liu, K Liu, H Li, X Zhang, G Jin, K Cheng
PloS one 10 (12), e0143624, 2015
162015
Feature selection: a data perspective (2016)
J Li, K Cheng, S Wang, F Morstatter, RP Trevino, J Tang, H Liu
arXiv preprint arXiv:1601.07996, 2016
102016
Extreme learning machine: a new alternative for measuring heat collection rate and heat loss coefficient of water-in-glass evacuated tube solar water heaters
Z Liu, H Li, X Tang, X Zhang, F Lin, K Cheng
SpringerPlus 5 (1), 1-8, 2016
92016
FeatureMiner: a tool for interactive feature selection
K Cheng, J Li, H Liu
Proceedings of the 25th ACM International on Conference on Information and …, 2016
82016
Feature selection: A data perspective. arXiv 2016
J Li, K Cheng, S Wang, F Morstatter, RP Trevino, J Tang, H Liu
arXiv preprint arXiv:1601.07996, 0
7
Computational design of (100) alloy surfaces for the hydrogen evolution reaction
H Li, S Xu, M Wang, Z Chen, F Ji, K Cheng, Z Gao, Z Ding, W Yang
Journal of Materials Chemistry A 8 (35), 17987-17997, 2020
32020
Feature selection
K Cheng, S Wang, F Morstatter
ACM Comput. Surv 50 (6), 1-45, 2018
22018
A multiple genome sequence matching based on skipping tree
Z Xu, K Cheng, Y Ding, Z Tian, H Zhao
International Journal of Machine Learning and Computing 5 (1), 78, 2015
22015
Mining signed social networks using unsupervised learning algorithms
K Cheng
Arizona State University, 2017
12017
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