ABOUT
I'm a Brazilian computer engineer who recently obtained her Ph.D. in Electronics Engineering (focus on Machine Learning) in South Korea. During my graduate studies, I have gained expertise in the areas of Robust AI, Natural Language Processing / Understanding / Generation with noisy data, and Multimodal data. I have enjoyed presenting my work at various conferences such as COLING and ICML and getting valuable feedback through discussions with other presenters. I'm passionate about democratizing AI by helping the community in open-source projects (TLM, AI for COVID-19) and by sharing my personal codes.
PUBLICATIONS
2020
Cunha Sergio, G., Moirangthem, D. S., and Lee, M. (2020). “Attentively Embracing Noise for Robust Latent Representation in BERT”. In: Proceedings of the 38th International Conference on Computational Linguistics (COLING 2020), Barcelona, Spain (Online), 8-13 December 2020. ACL, pp. 3479-3491. [paper] [code]
Sergio, G. C. and Lee, M. (2020). "Scene2Wav: a Deep Convolutional Sequence-to-Conditional SampleRNN for Emotional Scene Musicalization". In: Multimedia Tools and Applications 2020. Sep 2020. Springer, pp. 1-20. [paper] [code] [KNU-ICT Research Award]
Sergio, G. C. and Lee, M. (2020). “Robust Sentiment Classification in Noisy User-generated Text with BERT-based model”. In: The 37th International Conference on Machine Learning (ICML 2020). The 1st Women in Machine Learning un-Workshop. Virtual, 13-18 July 2020. [slideslive] [code]
Sergio, G. C. and Vincent, P. et al. (2020). “Application of Genetic Algorithm for More Efficient Multi-layer Thickness Optimization in Solar Cells”. In: Energies 13 (7). April 2020. MDPI, pp1-14. [paper] [code]
Sergio, G. C. and Lee, M. (2020). “Emotional Video to Audio Transformation Using Deep Recurrent Neural Networks and a Neuro-Fuzzy System”. In: Mathematical Problems in Engineering 2020. Feb 2020. Hindawi, pp. 1-15. [paper] [code]
2019
Sergio, G. C. and Vincent, P. et al. (2019). “Alternative Approach to Optimizing Optical Spacer Layer Thickness in Solar Cell Using Evolutionary Algorithm”. In: Proceedings of the 19th International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD 2019), Ottawa, Canada, 8-12 July 2019. IEEE, pp. 89-90. [paper] [code]
2018
Sergio, G. C. and Lee, M. (2018). "Audio Generation with Deep Recurrent Neural Networks". In: 18th China-Japan-Korea Joint Workshop on Neurobiology and Neuroinformatics (NBNI 2018). Jeju-do, South Korea, Oct 2018.
Sergio, G. C. and Moirangthem, D. S. and Lee, M. (2018). “Temporal Hierarchies in Sequence to Sequence for Sentence Correction”. In: 2018 International Joint Conference on Neural Networks (IJCNN 2018), Rio de Janeiro, Brazil, 08-13 July 2018. IEEE, pp. 1–7. [ppt] [paper] [code]
Sergio, G. C. and Lee, M. (2018). "Deep Recurrent Neural Network applied to Incomplete Data". In: Brain and Artificial Intelligence Symposium (BAIS 2018). Gangwon-do, South Korea, Jan 2018. Brain Engineering Society of Korea (BESK). [Best Poster Award]
2016
Sergio, G. C. and Lee, M. (2016). “Audio Generation from Scene Considering Its Emotion Aspect”. In: Proceedings of the 23rd International Conference on Neural Information Processing (ICONIP 2016). Kyoto, Japan, Oct 2016: Springer, pp. 74–81. [paper]
2015
Sergio, G. C. et al. (2015). “Generating Music from an Image”. In: Proceedings of the 3rd International Conference on Human-Agent Interaction (HAI 2015). Daegu, South Korea, Oct 2015: ACM, pp. 213–216. [paper]
2021
AWARDS
KNU-ICT Research Award
(2019)
For work titled "Scene2Wav: a Deep Convolutional Sequence-to-Conditional SampleRNN for Emotional Scene Musicalization"
Science Without Borders
(2012-2013)
Scholarship recipient at Brown University, USA
BAIS Best Paper Award
(2018)
For work titled "Deep Recurrent Neural Network applied to Incomplete Data"
Valedictorian
(2009-2014)
Bachelor of Science: 1st place in university entrance exam and graduating class (Computer Engineering)
KINGS Scholarship
(2014-2020)
Recipient of the KNU International Graduate Scholarship
VOLUNTEERING
ACL'20
On-call volunteer
ICML'20
On-call volunteer,
LXAI Media Liaison
TA'18-'20
Instructor at ABR Lab's Basic Education Program for new students
Peer reviewer
IJCNN'18-'19, ESANN'19, ICANN'19, IJFS'19-'20, NEPL'19
