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kewei cheng
kewei cheng
Ph.D. Student at UCLA
Verified email at g.ucla.edu - Homepage
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
37752017
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
7782021
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
1772017
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
982018
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
782018
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
692022
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
602020
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
56*2021
Neural compositional rule learning for knowledge graph reasoning
K Cheng, NK Ahmed, Y Sun
arXiv preprint arXiv:2303.03581, 2023
542023
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
472015
Unsupervised feature selection in signed social networks
K Cheng, J Li, H Liu
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
452017
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
232015
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
212015
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
202016
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
202014
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 or deductive? Rethinking the fundamental reasoning abilities of LLMs
K Cheng, J Yang, H Jiang, Z Wang, B Huang, R Li, S Li, Z Li, Y Gao, X Li, ...
arXiv preprint arXiv:2408.00114, 2024
122024
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