It is my great pleasure to work with these talented and hard-working students!
In KAUST (During Ph.D. study)
- Siyuan Chen
Lunar Features Detection for Energy Discovery via Deep Learning.
S Chen*, Y Li*, T Zhang, X Zhu, S Sun, X Gao. Applied Energy (IF=8.558), submitted.
Two more manuscripts under preparation.
- Wenkai Han
HMD-ARG: hierarchical multi-task deep learning for annotating antibiotic resistance genes.
Y Li*, Z Xu*, W Han*, H Cao, R Umarov, A Yan, M Fan, H Chen, L Li, P Ho, X Gao. Microbiome (IF=11.607), major revision.
- Rawan Albakri
- Siyuan Chen, 2019, from UESTC
- Noura AlRasheed, Summer, 2019, KGSP student from UCSD
- Longxi Zhou, Summer, 2018, from USTC
- Ammar Alqatari , Summer, 2018, KGSP student from Stanford
He won first place in KGSP Poster Competition in 2018.
- Zhongxiao Li, Spring, 2018, from SUSTech
SupportNet: solving catastrophic forgetting in class incremental learning with support data.
Y Li, Z Li, L Ding, X Gao , arxiv.org/abs/1806.02942.
Deep learning in bioinformatics: introduction, application, and perspective in big data era.
Y Li, C Huang, L Ding, Z Li, Y Pan, X Gao. Methods, 2019.
Cover article of the Methods issue: Deep Learning in Bioinformatics
- Zhenzhen Zou, 2018
mlDEEPre: Multi-functional enzyme function prediction with hierarchical multi-label deep learning.
Z Zou, S Tian, X Gao, Y Li#. Frontiers in Genetics, 2019.