no code implementations • 17 May 2022 • Mostafa Karimi, Changliang Liu, Kenichi Kumatani, Yao Qian, Tianyu Wu, Jian Wu
Self-supervised learning (SSL) methods have proven to be very successful in automatic speech recognition (ASR).
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
1 code implementation • 16 Apr 2020 • Mostafa Karimi, Arman Hasanzadeh, Yang shen
We have developed the first deep generative model for drug combination design, by jointly embedding graph-structured domain knowledge and iteratively training a reinforcement learning-based chemical graph-set designer.
no code implementations • 17 Mar 2020 • Kahkashan Afrin, Ashif S. Iquebal, Mostafa Karimi, Allyson Souris, Se Yoon Lee, Bani K. Mallick
Motivated by this, we propose a copula-based multi-view clustering model where a copula enables the model to accommodate the directional dependence existing in the datasets.
no code implementations • 29 Dec 2019 • Mostafa Karimi, Di wu, Zhangyang Wang, Yang shen
DeepRelations shows superior interpretability to the state-of-the-art: without compromising affinity prediction, it boosts the AUPRC of contact prediction 9. 5, 16. 9, 19. 3 and 5. 7-fold for the test, compound-unique, protein-unique, and both-unique sets, respectively.
no code implementations • 11 Oct 2019 • Mostafa Karimi, Gopalkrishna Veni, Yen-Yun Yu
We tackle this problem by developing a handwritten-to-machine-print conditional Generative Adversarial network (HW2MP-GAN) model that formulates handwritten recognition as a text-Image-to-text-Image translation problem where a given image, typically in an illegible form, is converted into another image, close to its machine-print form.
Generative Adversarial Network Image-to-Image Translation +1
2 code implementations • 20 Jun 2018 • Mostafa Karimi, Di wu, Zhangyang Wang, Yang shen
Motivation: Drug discovery demands rapid quantification of compound-protein interaction (CPI).
Ranked #2 on Drug Discovery on BindingDB IC50