Mohammad Akbari

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 53

Top Topics

Image Compression

Liveness Detection

Cognitive Network

Top Venues

IEEE Trans. Multim.

Publications

Saeed Ranjbar Alvar, Mohammad Akbari, David (Ming Xuan) Yue, Lingyang Chu, Yong Zhang
AMUSE: Adaptive Multi-Segment Encoding for Dataset Watermarking. CoRR (2024)
Marek Klemes, Lan Hu, Greg Bowles, Mohammad Akbari, Soulideth Thirakoune, Michael Schwartzman, Kevin Zhang, Tan Huy Ho, David Wessel, Wen Tong
Self-Healing Effects in OAM Beams Observed on a 28 GHz Experimental Link. IEEE Access 12 (2024)
Mohammad Akbari, Farid Ashtiani
Distribution of the Peak Age of Information in a Random Access Relay Network. IEEE Trans. Veh. Technol. 73 (5) (2024)
Mohsen Gholami, Mohammad Akbari, Cindy Hu, Vaden Masrani, Z. Jane Wang, Yong Zhang
GOLD: Generalized Knowledge Distillation via Out-of-Distribution-Guided Language Data Generation. CoRR (2024)
Masoud Akbari, Amir-Hossein Karimi, Tayyebeh Saeedi, Zeinab Saeidi, Kiana Ghezelbash, Fatemeh Shamsezat, Mohammad Akbari, Ali Mohades
A Persian Benchmark for Joint Intent Detection and Slot Filling. CoRR (2023)
Maryam Etemadi, Sepideh Bazzaz Abkenar, Ahmad Ahmadzadeh, Mostafa Haghi Kashani, Parvaneh Asghari, Mohammad Akbari, Ebrahim Mahdipour
A systematic review of healthcare recommender systems: Open issues, challenges, and techniques. Expert Syst. Appl. 213 (Part) (2023)
Zahra Ghorbanali, Fatemeh Zare-Mirakabad, Najmeh Salehi, Mohammad Akbari, Ali Masoudi-Nejad
DrugRep-HeSiaGraph: when heterogenous siamese neural network meets knowledge graphs for drug repurposing. BMC Bioinform. 24 (1) (2023)
Mohsen Gholami, Mohammad Akbari, Xinglu Wang, Behnam Kamranian, Yong Zhang
ETran: Energy-Based Transferability Estimation. ICCV (2023)
Mohsen Gholami, Mohammad Akbari, Xinglu Wang, Behnam Kamranian, Yong Zhang
ETran: Energy-Based Transferability Estimation. CoRR (2023)
Haisheng Fu, Feng Liang, Jianping Lin, Bing Li, Mohammad Akbari, Jie Liang, Guohe Zhang, Dong Liu, Chengjie Tu, Jingning Han
Learned Image Compression With Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules. IEEE Trans. Image Process. 32 (2023)
Mohammad Akbari, Saeed Ranjbar Alvar, Behnam Kamranian, Amin Banitalebi-Dehkordi, Yong Zhang
ArchBERT: Bi-Modal Understanding of Neural Architectures and Natural Languages. CoRR (2023)
Saeed Ranjbar Alvar, Mohammad Akbari, David (Ming Xuan) Yue, Yong Zhang
NFT-Based Data Marketplace with Digital Watermarking. KDD (2023)
Mohammad Akbari, Saeed Ranjbar Alvar, Behnam Kamranian, Amin Banitalebi-Dehkordi, Yong Zhang
ArchBERT: Bi-Modal Understanding of Neural Architectures and Natural Languages. CoNLL (2023)
Mohammadali Sefidi Esfahani, Mohammad Akbari
EnrichEvent: Enriching Social Data with Contextual Information for Emerging Event Extraction. CoRR (2023)
Zahra Ghorbanali, Fatemeh Zare-Mirakabad, Mohammad Akbari, Najmeh Salehi, Ali Masoudi-Nejad
DrugRep-KG: Toward Learning a Unified Latent Space for Drug Repurposing Using Knowledge Graphs. J. Chem. Inf. Model. 63 (8) (2023)
Saeedeh Eslami, Reza Monsefi, Mohammad Akbari
Learning a Unified Latent Space for NAS: Toward Leveraging Structural and Symbolic Information. IEEE Access 10 (2022)
Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang
E-LANG: Energy-Based Joint Inferencing of Super and Swift Language Models. ACL (1) (2022)
Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang
E-LANG: Energy-Based Joint Inferencing of Super and Swift Language Models. CoRR (2022)
Mohammad Akbari, Iman Goudarzi, Mohammad Tahmoures, Marischa Elveny, Iman Bakhshayeshi
Predicting soil organic carbon by integrating Landsat 8 OLI, GIS and data mining techniques in semi-arid region. Earth Sci. Informatics 14 (4) (2021)
Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang
EBJR: Energy-Based Joint Reasoning for Adaptive Inference. CoRR (2021)
Yaghoob Karimi, Mostafa Haghi Kashani, Mohammad Akbari, Ebrahim Mahdipour
Leveraging big data in smart cities: A systematic review. Concurr. Comput. Pract. Exp. 33 (21) (2021)
Marzieh Oghbaie, Arian Sabaghi, Kooshan Hashemifard, Mohammad Akbari
Advances and Challenges in Deep Lip Reading. CoRR (2021)
Mahsan Abdoli, Mohammad Akbari, Jamal Shahrabi
Bagging Supervised Autoencoder Classifier for Credit Scoring. CoRR (2021)
Haisheng Fu, Feng Liang, Jianping Lin, Bing Li, Mohammad Akbari, Jie Liang, Guohe Zhang, Dong Liu, Chengjie Tu, Jingning Han
Learned Image Compression with Discretized Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules. CoRR (2021)
Arian Sabaghi, Marzieh Oghbaie, Kooshan Hashemifard, Mohammad Akbari
Deep Learning meets Liveness Detection: Recent Advancements and Challenges. CoRR (2021)
Mohammad Akbari, Jie Liang, Jingning Han, Chengjie Tu
Learned Multi-Resolution Variable-Rate Image Compression With Octave-Based Residual Blocks. IEEE Trans. Multim. 23 (2021)
Seyedkooshan Hashemifard, Mohammad Akbari
A Compact Deep Learning Model for Face Spoofing Detection. CoRR (2021)
Mohammad Akbari, Jie Liang, Jingning Han, Chengjie Tu
Learned Bi-Resolution Image Coding using Generalized Octave Convolutions. AAAI (2021)
Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang
EBJR: Energy-Based Joint Reasoning for Adaptive Inference. BMVC (2021)
Binglin Li, Mohammad Akbari, Jie Liang, Yang Wang
Deep Learning-Based Image Compression with Trellis Coded Quantization. DCC (2020)
Mohammad Akbari, Jie Liang, Jingning Han, Chengjie Tu
Learned Multi-Resolution Variable-Rate Image Compression with Octave-based Residual Blocks. CoRR (2020)
Binglin Li, Mohammad Akbari, Jie Liang, Yang Wang
Deep Learning-based Image Compression with Trellis Coded Quantization. CoRR (2020)
Sepideh Bazzaz Abkenar, Mostafa Haghi Kashani, Mohammad Akbari, Ebrahim Mahdipour
Twitter Spam Detection: A Systematic Review. CoRR (2020)
Mohammad Akbari, Jie Liang, Jingning Han, Chengjie Tu
Learned Variable-Rate Image Compression With Residual Divisive Normalization. ICME (2020)
Mohammad Akbari, Jie Liang, Jingning Han, Chengjie Tu
Generalized Octave Convolutions for Learned Multi-Frequency Image Compression. CoRR (2020)
Haisheng Fu, Feng Liang, Bo Lei, Nai Bian, Qian Zhang, Mohammad Akbari, Jie Liang, Chengjie Tu
Improved hybrid layered image compression using deep learning and traditional codecs. Signal Process. Image Commun. 82 (2020)
Jianping Lin, Mohammad Akbari, Haisheng Fu, Qian Zhang, Shang Wang, Jie Liang, Dong Liu, Feng Liang, Guohe Zhang, Chengjie Tu
Variable-Rate Multi-Frequency Image Compression using Modulated Generalized Octave Convolution. MMSP (2020)
Mahsan Abdoli, Mohammad Akbari, Jamal Shahrabi
Dynamic Ensemble Learning for Credit Scoring: A Comparative Study. CoRR (2020)
Rasool Kalbasi, Seyed Mohammadhadi Alaeddin, Mohammad Akbari, Masoud Afrand
Analytical Solution of Heat Conduction in a Symmetrical Cylinder Using the Solution Structure Theorem and Superposition Technique. Symmetry 11 (12) (2019)
Mohammad Akbari, Jie Liang, Jingning Han, Chengjie Tu
Learned Variable-Rate Image Compression with Residual Divisive Normalization. CoRR (2019)
Mostafa Rezazad, Matthias R. Brust, Mohammad Akbari, Pascal Bouvry, Ngai-Man Cheung
Detecting Target-Area Link-Flooding DDoS Attacks using Traffic Analysis and Supervised Learning. CoRR (2019)
Haisheng Fu, Feng Liang, Bo Lei, Nai Bian, Qian Zhang, Mohammad Akbari, Jie Liang, Chengjie Tu
Improved Hybrid Layered Image Compression using Deep Learning and Traditional Codecs. CoRR (2019)
Mohammad Akbari, Rumi Chunara
Using Contextual Information to Improve Blood Glucose Prediction. CoRR (2019)
Mohammad Akbari, Rumi Chunara
Using Contextual Information to Improve Blood Glucose Prediction. MLHC (2019)
Mohammad Akbari, Jie Liang, Jingning Han
DSSLIC: Deep Semantic Segmentation-based Layered Image Compression. ICASSP (2019)
Alberto Cetoli, Mohammad Akbari, Stefano Bragaglia, Andrew D. O'Harney, Marc Sloan
Named Entity Disambiguation using Deep Learning on Graphs. CoRR (2018)
Mohammad Akbari, Jie Liang, Howard Cheng
A real-time system for online learning-based visual transcription of piano music. Multim. Tools Appl. 77 (19) (2018)
Jianglei Han, Mohammad Akbari
Vertical Domain Text Classification: Towards Understanding IT Tickets Using Deep Neural Networks. AAAI (2018)
Mohammad Akbari, Jie Liang, Jingning Han
DSSLIC: Deep Semantic Segmentation-based Layered Image Compression. CoRR (2018)
Mohammad Akbari, Jie Liang
Semi-Recurrent Cnn-Based Vae-Gan for Sequential Data Generation. ICASSP (2018)
Mohammad Akbari, Kunal Relia, Anas Elghafari, Rumi Chunara
From the User to the Medium: Neural Profiling Across Web Communities. ICWSM (2018)
Mohammad Akbari, Jie Liang
Semi-Recurrent CNN-based VAE-GAN for Sequential Data Generation. CoRR (2018)
Mohammad Akbari, Kunal Relia, Anas Elghafari, Rumi Chunara
From the User to the Medium: Neural Profiling Across Web Communities. CoRR (2018)
Mohammad Akbari, Farhad Samadzadegan, Robert Weibel
A generic regional spatio-temporal co-occurrence pattern mining model: a case study for air pollution. J. Geogr. Syst. 17 (3) (2015)
Mohammad Akbari, Abolfazl Falahati
Spatial-DoF Improvement of MIMO Cognitive Network Through Interference Fusion in Conjunction with Alignment. Wirel. Pers. Commun. 82 (2) (2015)
Mohammad Akbari, Howard Cheng
Real-Time Piano Music Transcription Based on Computer Vision. IEEE Trans. Multim. 17 (12) (2015)
Mohammad Akbari, Howard Cheng
Clavision: visual automatic piano music transcription. NIME (2015)
Mostafa Haghi Kashani, Seyed Mahdi Jamei, Mohammad Akbari, R. Moosavi Tayebi
Utilizing Bee Colony to Solve Task Scheduling Problem in Distributed Systems. CICSyN (2011)
Mohammad Akbari, Abolfazl Falahati
A Fault-Tolerant Cooperative Spectrum Sensing Algorithm over Cognitive Radio Network Based on Wireless Sensor Network. Wirel. Sens. Netw. 3 (3) (2011)
Mohammad Akbari, Changiz Ghobadi, Javad Nourinia
Internal multiband PIFA antenna for GPS/DCS/PCS/UMTS/WLAN operation in the mobile device. IEICE Electron. Express 6 (24) (2009)
Ali Mousavi, Mohammad A. Rajabi, Mohammad Akbari
Design and Implementation of a GSM Based Automatic Vehicle Location System. ICCSA (1) (2009)