| 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 | 1008 | 2017 |
| 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 | 127 | 2017 |
| Secureboost: A lossless federated learning framework K Cheng, T Fan, Y Jin, Y Liu, T Chen, Q Yang arXiv preprint arXiv:1901.08755, 2019 | 102 | 2019 |
| 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 | 63 | 2018 |
| Unsupervised Sentiment Analysis with Signed Social Networks K Cheng, J Li, J Tang, H Liu AAAI, 2017 | 37 | 2017 |
| 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 | 33 | 2018 |
| Unsupervised feature selection in signed social networks K Cheng, J Li, H Liu Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 32 | 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 | 30 | 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 | 29 | 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 Int. J. Electrochem. Sci 10 (8), 6044-6056, 2015 | 19 | 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 | 17 | 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 | 16 | 2015 |
| 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 | 10 | 2016 |
| 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 | 9 | 2016 |
| 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 | 8 | 2016 |
| 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 | 3 | 2020 |
| Feature selection K Cheng, S Wang, F Morstatter ACM Comput. Surv 50 (6), 1-45, 2018 | 2 | 2018 |
| 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 | 2 | 2015 |
| Mining signed social networks using unsupervised learning algorithms K Cheng Arizona State University, 2017 | 1 | 2017 |
Huan LiuProfessor of Computer Science and Engineering, Arizona State UniversityVerified email at asu.edu
