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kewei cheng
kewei cheng
Ph.D. Student at UCLA
Bestätigte E-Mail-Adresse bei g.ucla.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
37012017
Secureboost: A lossless federated learning framework
K Cheng, T Fan, Y Jin, Y Liu, T Chen, D Papadopoulos, Q Yang
IEEE intelligent systems 36 (6), 87-98, 2021
7562021
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
1742017
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, 3510-3517, 2018
962018
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
772018
Rlogic: Recursive logical rule learning from knowledge graphs
K Cheng, J Liu, W Wang, Y Sun
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
652022
Unsupervised Sentiment Analysis with Signed Social Networks
K Cheng, J Li, J Tang, H Liu
AAAI, 2017
622017
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
572020
UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference
K Cheng, Z Yang, M Zhang, Y Sun
The 2021 Conference on Empirical Methods in Natural Language Processing, 2021
54*2021
Neural compositional rule learning for knowledge graph reasoning
K Cheng, NK Ahmed, Y Sun
arXiv preprint arXiv:2303.03581, 2023
472023
Unsupervised feature selection in signed social networks
K Cheng, J Li, H Liu
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
462017
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
442015
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
352016
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
International Journal of Electrochemical Science 10 (8), 6044-6056, 2015
222015
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
212014
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
202015
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, 1-8, 2016
192016
Pge: Robust product graph embedding learning for error detection
K Cheng, X Li, YE Xu, XL Dong, Y Sun
arXiv preprint arXiv:2202.09747, 2022
142022
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
132016
Inductive meta-path learning for schema-complex heterogeneous information networks
S Liu, C Fan, K Cheng, Y Wang, P Cui, Y Sun, Z Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
72024
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