Jiawen Kong
PhD candidate / guest
- Name
- J. Kong MSc
- Telephone
- +31 71 527 4799
- j.kong@liacs.leidenuniv.nl
- ORCID iD
- 0000-0002-0493-1588
PhD candidate / guest
- Science
- Leiden Inst of Advanced Computer Science
- Nguyen D.A., Kong J., Wang H., Menzel S., Sendhoff B., Kononova A.V. & Bäck T.H.W. (2021), Improved automated CASH optimization with tree parzen estimators for class imbalance problems. In: 2021 IEEE 8th international conference on data science and advanced analytics (DSAA).: Institute of Electrical and Electronics Engineers (IEEE). 1-9.
- Kong J., Kowalczyk W.J., Menzel S. & Bäck T.H.W (2020), Improving imbalanced classification by anomaly detection. In: Bäck T.H.W. et al (Ed.) Parallel problem solving from nature – PPSN XVI. PPSN 2020. no. 12269 Cham: Springer. 512-523.
- Kong J., de Jesus de Araujo Rios T., Kowalczyk W.J., Menzel S. & Bäck T.H.W (2020), On the performance of oversampling techniques for class imbalance problems. In: Lauw H., Wong R.W., Ntoulas A., Lim E.P., Ng S.K. & Pan S (Eds.) Advances in knowledge discovery and data mining. PAKDD 2020. no. 12085 Cham: Springer. 84-96.
- Kong J., Kowalczyk W.J., Nguyen D.A, Bäck T.H.W. & Menzel S. (2019), Hyperparameter optimisation for improving classification under class imbalance. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers (IEEE). 3072-3078.
No relevant ancillary activities