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ORCIDHabib Hajimolahoseini
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2020 – today
- 2024
[i10]Foozhan Ataiefard, Walid Ahmed, Habib Hajimolahoseini, Saina Asani, Farnoosh Javadi, Mohammad Hassanpour, Omar Mohamed Awad, Austin Wen, Kangling Liu, Yang Liu:
SkipViT: Speeding Up Vision Transformers with a Token-Level Skip Connection. CoRR abs/2401.15293 (2024)- [i9]Habib Hajimolahoseini, Mohammad Hassanpour, Foozhan Ataiefard, Boxing Chen, Yang Liu:
Single Parent Family: A Spectrum of Family Members from a Single Pre-Trained Foundation Model. CoRR abs/2406.19995 (2024) - [i8]Habib Hajimolahoseini, Walid Ahmed, Austin Wen, Yang Liu:
Is 3D Convolution with 5D Tensors Really Necessary for Video Analysis? CoRR abs/2407.16514 (2024) - [i7]Habib Hajimolahoseini, Walid Ahmed, Austin Wen, Yang Liu:
Accelerating the Low-Rank Decomposed Models. CoRR abs/2407.20266 (2024) - 2023
- [i6]Habib Hajimolahoseini, Walid Ahmed, Yang Liu:
Training Acceleration of Low-Rank Decomposed Networks using Sequential Freezing and Rank Quantization. CoRR abs/2309.03824 (2023) - [i5]Omar Mohamed Awad, Habib Hajimolahoseini, Michael Lim, Gurpreet Gosal, Walid Ahmed, Yang Liu, Gordon Deng:
Improving Resnet-9 Generalization Trained on Small Datasets. CoRR abs/2309.03965 (2023) - [i4]Walid Ahmed, Habib Hajimolahoseini, Austin Wen, Yang Liu:
Speeding up Resnet Architecture with Layers Targeted Low Rank Decomposition. CoRR abs/2309.12412 (2023) - [i3]Farnoosh Javadi, Walid Ahmed, Habib Hajimolahoseini, Foozhan Ataiefard, Mohammad Hassanpour, Saina Asani, Austin Wen, Omar Mohamed Awad, Kangling Liu, Yang Liu:
GQKVA: Efficient Pre-training of Transformers by Grouping Queries, Keys, and Values. CoRR abs/2311.03426 (2023) - [i2]Habib Hajimolahoseini, Omar Mohamed Awad, Walid Ahmed, Austin Wen, Saina Asani, Mohammad Hassanpour, Farnoosh Javadi, Mehdi Ahmadi, Foozhan Ataiefard, Kangling Liu, Yang Liu:
SwiftLearn: A Data-Efficient Training Method of Deep Learning Models using Importance Sampling. CoRR abs/2311.15134 (2023) - 2021
- [i1]Tianda Li, Yassir El Mesbahi, Ivan Kobyzev, Ahmad Rashid, Atif Mahmud, Nithin Anchuri, Habib Hajimolahoseini, Yang Liu, Mehdi Rezagholizadeh:
A Short Study on Compressing Decoder-Based Language Models. CoRR abs/2110.08460 (2021)
2010 – 2019
- 2019
- [c3]Habib Hajimolahoseini, Damian P. Redfearn, Andrew Krahn:
A Deep Learning Approach for Diagnosing Long QT Syndrome Without Measuring QT Interval. Canadian AI 2019: 440-445 - 2018
- [j4]Habib Hajimolahoseini, Javad Hashemi, Saeed Gazor
, Damian P. Redfearn:
Inflection point analysis: A machine learning approach for extraction of IEGM active intervals during atrial fibrillation. Artif. Intell. Medicine 85: 7-15 (2018) - [c2]Habib Hajimolahoseini, Javad Hashemi, Damian P. Redfearn:
Ecg Delineation for Qt Interval Analysis Using an Unsupervised Learning Method. ICASSP 2018: 2541-2545 - 2016
- [j3]Habib Hajimolahoseini, Rassoul Amirfattahi, Saeed Gazor, Hamid Soltanian-Zadeh:
Robust Estimation and Tracking of Pitch Period Using an Efficient Bayesian Filter. IEEE ACM Trans. Audio Speech Lang. Process. 24(7): 1219-1229 (2016) - [c1]Habib Hajimolahoseini, Saeed Gazor, Rassoul Amirfattahi:
A robust and fast method for estimating and tracking the instantaneous fundamental frequency of audio signals. CCECE 2016: 1-4 - 2015
- [j2]Habib Hajimolahoseini, Rassoul Amirfattahi, Hamid Soltanian-Zadeh, Saeed Gazor:
Instantaneous fundamental frequency estimation of non-stationary periodic signals using non-linear recursive filters. IET Signal Process. 9(2): 143-153 (2015) - 2014
- [j1]Habib Hajimolahoseini, Rassoul Amirfattahi, Hamid Soltanian-Zadeh:
Robust vehicle tracking algorithm for nighttime videos captured by fixed cameras in highly reflective environments. IET Comput. Vis. 8(6): 535-544 (2014)
Coauthor Index
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