| 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 | 3707 | 2017 |
| 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 | 757 | 2021 |
| 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 | 174 | 2017 |
| 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 | 96 | 2018 |
| 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 | 77 | 2018 |
| 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 | 65 | 2022 |
| Unsupervised Sentiment Analysis with Signed Social Networks K Cheng, J Li, J Tang, H Liu AAAI, 2017 | 62 | 2017 |
| 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 | 58 | 2020 |
| 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 | 47 | 2023 |
| Unsupervised feature selection in signed social networks K Cheng, J Li, H Liu Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 46 | 2017 |
| 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 | 44 | 2015 |
| 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 | 35 | 2016 |
| 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 | 22 | 2015 |
| 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 | 21 | 2014 |
| 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 | 20 | 2015 |
| 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 | 19 | 2016 |
| 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 | 14 | 2022 |
| 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 | 13 | 2016 |
| 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 | 8 | 2024 |
Huan LiuRegents Professor, Arizona State Universityasu.edu의 이메일 확인됨