Selected Publications

Haytham M. Fayek and Justin Johnson.
Temporal reasoning via audio question answering.
IEEE/ACM Transactions on Audio, Speech, and Language Processing, Jul 2020.
link arXiv code bib

Haytham M. Fayek and Anurag Kumar.
Large scale audiovisual learning of sounds with weakly labeled data.
In 29th International Joint Conference on Artificial Intelligence (IJCAI), Yokohama, Japan, Jul 2020.
link pdf arXiv bib

Haytham M. Fayek, Lawrence Cavedon, and Hong Ren Wu.
Progressive learning: a deep learning framework for continual learning.
Neural Networks, vol. 128, pp. 345–357, May 2020.
link bib

Haytham M. Fayek, Lawrence Cavedon, and Hong Ren Wu.
On the transferability of representations in neural networks between datasets and tasks.
In Continual Learning Workshop, 32nd Neural Information Processing Systems (NeurIPS), Montréal, Canada, Dec 2018.
pdf arXiv bib

Haytham M. Fayek, Margaret Lech, and Lawrence Cavedon.
Evaluating deep learning architectures for speech emotion recognition.
Neural Networks, vol. 92, pp. 60–68, Aug 2017.
link bib

For a complete list of publications, see Publications or Google Scholar.

Students

Nermine Hendy, Ph.D. Student, RMIT, 2021–Present.
Emma Pretty, Ph.D. Student, RMIT, 2021–Present.
Yameng Peng, Ph.D. Student, RMIT, 2020–Present.

Alumni

Lior Madmoni, Research Intern, Facebook Reality Labs, 2019. (Ben-Gurion University)
Shengjie Bi, Research Intern, Facebook Reality Labs, 2019. (Dartmouth College)
Sharath Adavanne, Research Intern, Facebook Reality Labs, 2018. (Tampere University)