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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
45532017
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
9112021
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
1852017
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
1042022
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
1022018
Neural compositional rule learning for knowledge graph reasoning
K Cheng, NK Ahmed, Y Sun
arXiv preprint arXiv:2303.03581, 2023
952023
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
802018
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
682020
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
63*2021
Unsupervised Sentiment Analysis with Signed Social Networks
K Cheng, J Li, J Tang, H Liu
AAAI, 2017
632017
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
492015
Unsupervised feature selection in signed social networks
K Cheng, J Li, H Liu
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
442017
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
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
322024
Neural-symbolic methods for knowledge graph reasoning: A survey
K Cheng, NK Ahmed, RA Rossi, T Willke, Y Sun
ACM Transactions on Knowledge Discovery from Data 18 (9), 1-44, 2025
262025
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), 626, 2016
252016
Structure guided prompt: Instructing large language model in multi-step reasoning by exploring graph structure of the text
K Cheng, NK Ahmed, TL Willke, Y Sun
Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024
242024
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
232015
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
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
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Articles 1–20