Mohammad Rostami

According to our database, Mohammad Rostami authored at least 97 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An overview of QoS-aware load balancing techniques in SDN-based IoT networks.

Mohammad Rostami, Salman Goli-Bidgoli

J. Cloud Comput., December, 2024

An Intermediate Fusion ViT Enables Efficient Text-Image Alignment in Diffusion Models.

Zizhao Hu, Shaochong Jia, Mohammad Rostami

CoRR, 2024

Cross-domain Multi-modal Few-shot Object Detection via Rich Text.

Zeyu Shangguan, Daniel Seita, Mohammad Rostami

CoRR, 2024

CRISPR: Ensemble Model.

Mohammad Rostami, Amin Ghariyazi, Hamed Dashti, Mohammad Hossein Rohban, Hamid R. Rabiee

CoRR, 2024

Meta-Tasks: An alternative view on Meta-Learning Regularization.

Mohammad Rostami, Atik Faysal, Huaxia Wang, Avimanyu Sahoo, Ryan Antle

CoRR, 2024

Continuous Unsupervised Domain Adaptation Using Stabilized Representations and Experience Replay.

Mohammad Rostami

CoRR, 2024

Dynamic Transformer Architecture for Continual Learning of Multimodal Tasks.

Yuliang Cai, Mohammad Rostami

CoRR, 2024

Unsupervised Domain Adaptation Using Compact Internal Representations.

Mohammad Rostami

CoRR, 2024

Unsupervised Federated Domain Adaptation for Segmentation of MRI Images.

Navapat Nananukul, Hamid Soltanian-Zadeh, Mohammad Rostami

CoRR, 2024

Relating Events and Frames Based on Self-Supervised Learning and Uncorrelated Conditioning for Unsupervised Domain Adaptation.

Mohammad Rostami, Dayuan Jian

CoRR, 2024

Online Continual Domain Adaptation for Semantic Image Segmentation Using Internal Representations.

Serban Stan, Mohammad Rostami

CoRR, 2024

2023

Robust internal representations for domain generalization.

Mohammad Rostami

AI Mag., December, 2023

A gamified teaching-learning based optimization algorithm for a three-echelon supply chain scheduling problem in a two-stage assembly flow shop environment.

Mohammad Rostami, Ali Yousefzadeh

Appl. Soft Comput., October, 2023

Efficient Multimodal Diffusion Models Using Joint Data Infilling with Partially Shared U-Net.

Zizhao Hu, Shaochong Jia, Mohammad Rostami

CoRR, 2023

Unsupervised Representation Learning to Aid Semi-Supervised Meta Learning.

Atik Faysal, Mohammad Rostami, Huaxia Wang, Avimanyu Sahoo, Ryan Antle

CoRR, 2023

Class-Incremental Learning Using Generative Experience Replay Based on Time-aware Regularization.

Zizhao Hu, Mohammad Rostami

CoRR, 2023

Improved Region Proposal Network for Enhanced Few-Shot Object Detection.

Zeyu Shangguan, Mohammad Rostami

CoRR, 2023

Cognitively Inspired Cross-Modal Data Generation Using Diffusion Models.

Zizhao Hu, Mohammad Rostami

CoRR, 2023

Low-Shot Learning for Fictional Claim Verification.

Viswanath Chadalapaka, Derek Nguyen, JoonWon Choi, Shaunak Joshi, Mohammad Rostami

CoRR, 2023

Explainable Artificial Intelligence Architecture for Melanoma Diagnosis Using Indicator Localization and Self-Supervised Learning.

Ruitong Sun, Mohammad Rostami

CoRR, 2023

Encoding Binary Concepts in the Latent Space of Generative Models for Enhancing Data Representation.

Zizhao Hu, Mohammad Rostami

CoRR, 2023

Preserving Fairness in AI under Domain Shift.

Serban Stan, Mohammad Rostami

CoRR, 2023

Unsupervised Domain Adaptation for Graph-Structured Data Using Class-Conditional Distribution Alignment.

Mengxi Wu, Mohammad Rostami

CoRR, 2023

TMaLB: A Tolerable Many-Objective Load Balancing Technique for IoT Workflows Allocation.

Mohammad Rostami, Salman Goli-Bidgoli

IEEE Access, 2023

Cognitively Inspired Learning of Incremental Drifting Concepts.

Mohammad Rostami, Aram Galstyan

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Identification of Novel Classes for Improving Few-Shot Object Detection.

Zeyu Shangguan, Mohammad Rostami

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning.

Dayuan Jian, Mohammad Rostami

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Domain Adaptation for Sentiment Analysis Using Robust Internal Representations.

Mohammad Rostami, Digbalay Bose, Shrikanth Narayanan, Aram Galstyan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation.

Yuliang Cai, Jesse Thomason, Mohammad Rostami

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

I2I: Initializing Adapters with Improvised Knowledge.

Tejas Srinivasan, Furong Jia, Mohammad Rostami, Jesse Thomason

Proceedings of the Conference on Lifelong Learning Agents, 2023

History repeats: Overcoming catastrophic forgetting for event-centric temporal knowledge graph completion.

Mehrnoosh Mirtaheri, Mohammad Rostami, Aram Galstyan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions.

Mohammad Rostami, Aram Galstyan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Internal Robust Representations for Domain Generalization.

Mohammad Rostami

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Secure Domain Adaptation with Multiple Sources.

Serban Stan, Mohammad Rostami

Trans. Mach. Learn. Res., 2022

Unsupervised Model Adaptation for Source-free Segmentation of Medical Images.

Serban Stan, Mohammad Rostami

CoRR, 2022

Increasing Model Generalizability for Unsupervised Domain Adaptation.

Mohammad Rostami

CoRR, 2022

CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks.

Tejas Srinivasan, Ting-Yun Chang, Leticia Leonor Pinto Alva, Georgios Chochlakis, Mohammad Rostami, Jesse Thomason

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Enabling high accuracy pervasive tracking with ultra low power UWB tags.

Mohammad Rostami, Karthikeyan Sundaresan

Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning.

Kleanthis Avramidis, Mohammad Rostami, Melinda Chang, Shrikanth Narayanan

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Increasing Model Generalizability for Unsupervised Visual Domain Adaptation.

Mohammad Rostami

Proceedings of the Conference on Lifelong Learning Agents, 2022

Domain Adaptation for the Segmentation of Confidential Medical Images.

Serban Stan, Mohammad Rostami

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Domain Adaptation for Sentiment Analysis Using Increased Intraclass Separation.

Mohammad Rostami, Aram Galstyan

CoRR, 2021

Lifelong Learning of Few-shot Learners across NLP Tasks.

Xisen Jin, Mohammad Rostami, Xiang Ren

CoRR, 2021

Privacy Preserving Domain Adaptation for Semantic Segmentation of Medical Images.

Serban Stan, Mohammad Rostami

CoRR, 2021

Minimizing maximum tardiness subject to collect the EOL products in a single machine scheduling problem with capacitated batch delivery and pickup systems.

Mohammad Rostami

Comput. Ind. Eng., 2021

Integrated hub location and flow processing schedule problem under renewable capacity constraint.

Mohammad Rostami, Armin Jabbarzadeh

Comput. Appl. Math., 2021

COCOON: A Conductive Substrate-based Coupled Oscillator Network for Wireless Communication.

Xingda Chen, Deepak Ganesan, Jeremy Gummeson, Mohammad Rostami

Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

Lifelong Domain Adaptation via Consolidated Internal Distribution.

Mohammad Rostami

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MIXIQ: re-thinking ultra-low power receiver design for next-generation on-body applications.

Mohammad Rostami, Xingda Chen, Yuda Feng, Karthikeyan Sundaresan, Deepak Ganesan

Proceedings of the ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking, 2021

Detection and Continual Learning of Novel Face Presentation Attacks.

Mohammad Rostami, Leonidas Spinoulas, Mohamed E. Hussein, Joe Mathai, Wael Abd-Almageed

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Open Drug Knowledge Graph.

Mark Mann, Filip Ilievski, Mohammad Rostami, Aastha, Basel Shbita

Proceedings of the 2nd International Workshop on Knowledge Graph Construction co-located with 18th Extended Semantic Web Conference (ESWC 2021), 2021

Demo: Knowledge Graph-Based Housing Market Analysis.

Ziping Hu, Zepei Zhao, Mohammad Rostami, Filip Ilievski, Basel Shbita

Proceedings of the 2nd International Workshop on Knowledge Graph Construction co-located with 18th Extended Semantic Web Conference (ESWC 2021), 2021

Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning.

Xisen Jin, Bill Yuchen Lin, Mohammad Rostami, Xiang Ren

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

One-shot Learning for Temporal Knowledge Graphs.

Mehrnoosh Mirtaheri, Mohammad Rostami, Xiang Ren, Fred Morstatter, Aram Galstyan

Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

Unsupervised Model Adaptation for Continual Semantic Segmentation.

Serban Stan, Mohammad Rostami

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Minimizing total weighted completion and batch delivery times with machine deterioration and learning effect: a case study from wax production.

Mohammad Rostami, Shiva Nikravesh, Mahdi Shahin

Oper. Res., 2020

A lagrangian relaxation algorithm for facility location of resource-constrained decentralized multi-project scheduling problems.

Mohammad Rostami, Morteza Bagherpour

Oper. Res., 2020

Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot Transfer.

Mohammad Rostami, David Isele, Eric Eaton

J. Artif. Intell. Res., 2020

Sequential Unsupervised Domain Adaptation through Prototypical Distributions.

Mohammad Rostami, Aram Galstyan

CoRR, 2020

Redefining passive in backscattering with commodity devices.

Mohammad Rostami, Karthik Sundaresan, Eugene Chai, Sampath Rangarajan, Deepak Ganesan

Proceedings of the MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020

Generative Continual Concept Learning.

Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly, James L. McClelland

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Deep Transfer Learning for Few-Shot SAR Image Classification.

Mohammad Rostami, Soheil Kolouri, Eric Eaton, Kyungnam Kim

Remote. Sens., 2019

Zero-Shot Image Classification Using Coupled Dictionary Embedding.

Mohammad Rostami, Soheil Kolouri, Zak Murez, Yuri Owekcho, Eric Eaton, Kyungnam Kim

CoRR, 2019

Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay.

Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

SAR Image Classification Using Few-Shot Cross-Domain Transfer Learning.

Mohammad Rostami, Soheil Kolouri, Eric Eaton, Kyungnam Kim

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Explainability Methods for Graph Convolutional Neural Networks.

Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment.

Alexander J. Gabourie, Mohammad Rostami, Phillip E. Pope, Soheil Kolouri, Kyungnam Kim

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018

Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks.

Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann

CoRR, 2018

Polymorphic radios: a new design paradigm for ultra-low power communication.

Mohammad Rostami, Jeremy Gummeson, Ali Kiaghadi, Deepak Ganesan

Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication, 2018

A crowdsourcing triage algorithm for geopolitical event forecasting.

Mohammad Rostami, David J. Huber, Tsai-Ching Lu

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Multi-Agent Distributed Lifelong Learning for Collective Knowledge Acquisition.

Mohammad Rostami, Soheil Kolouri, Kyungnam Kim, Eric Eaton

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Lifelong Learning Networks: Beyond Single Agent Lifelong Learning.

Mohammad Rostami, Eric Eaton

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Joint Dictionaries for Zero-Shot Learning.

Soheil Kolouri, Mohammad Rostami, Yuri Owechko, Kyungnam Kim

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Resource Pool Location for Periodic Services in Decentralized Multi-Project Scheduling Problems.

Mohammad Rostami, Morteza Bagherpour, Mohammad Mahdavi Mazdeh, Ahmad Makui

J. Comput. Civ. Eng., 2017

The two stage assembly flow-shop scheduling problem with batching and delivery.

Hamed Kazemi, Mohammad Mahdavi Mazdeh, Mohammad Rostami

Eng. Appl. Artif. Intell., 2017

Transfer of Knowledge through Collective Learning.

Mohammad Rostami

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Image Super-Resolution Based on Sparsity Prior via Smoothed l₀ Norm.

Mohammad Rostami, Zhou Wang

CoRR, 2016

Enabling Practical Backscatter Communication for On-body Sensors.

Pengyu Zhang, Mohammad Rostami, Pan Hu, Deepak Ganesan

Proceedings of the ACM SIGCOMM 2016 Conference, Florianopolis, Brazil, August 22-26, 2016, 2016

Braidio: An Integrated Active-Passive Radio for Mobile Devices with Asymmetric Energy Budgets.

Pan Hu, Pengyu Zhang, Mohammad Rostami, Deepak Ganesan

Proceedings of the ACM SIGCOMM 2016 Conference, Florianopolis, Brazil, August 22-26, 2016, 2016

Testing Fine-Grained Parallelism for the ADMM on a Factor-Graph.

Ning Hao, AmirReza Oghbaee, Mohammad Rostami, Nate Derbinsky, José Bento

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

Using Task Features for Zero-Shot Knowledge Transfer in Lifelong Learning.

David Isele, Mohammad Rostami, Eric Eaton

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Efficient Environmental Temperature Monitoring Using Compressed Sensing.

Ali Hashemi, Mohammad Rostami, Ngai-Man Cheung

Proceedings of the 2016 Data Compression Conference, 2016

2015

Objective Quality Assessment of Interpolated Natural Images.

Hojatollah Yeganeh, Mohammad Rostami, Zhou Wang

IEEE Trans. Image Process., 2015

Surface Reconstruction in Gradient-Field Domain Using Compressed Sensing.

Mohammad Rostami, Oleg V. Michailovich, Zhou Wang

IEEE Trans. Image Process., 2015

Undamped oscillations in fractional-order Duffing oscillator.

Mohammad Rostami, Mohammad Haeri

Signal Process., 2015

Multi-objective parallel machine scheduling problem with job deterioration and learning effect under fuzzy environment.

Mohammad Rostami, Amir Ebrahimzadeh Pilerood, Mohammad Mahdavi Mazdeh

Comput. Ind. Eng., 2015

2013

Compressed Sensing with Side Information on the Feasible Region

Mohammad Rostami

Springer Briefs in Electrical and Computer Engineering, Springer, ISBN: 978-3-319-00366-5, 2013

Study of Limit Cycles and Stability Analysis of Fractional Arneodo Oscillator.

Mohammad Rostami, Mohammad Haeri

J. Optim. Theory Appl., 2013

Minimizing maximum tardiness and delivery costs in a batched delivery system.

Mohammad Mahdavi Mazdeh, Mohammad Rostami, Mohammad Hossein Namaki

Comput. Ind. Eng., 2013

Compressed sensing of diffusion fields under heat equation constraint.

Mohammad Rostami, Ngai-Man Cheung, Tony Q. S. Quek

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Image Deblurring Using Derivative Compressed Sensing for Optical Imaging Application.

Mohammad Rostami, Oleg V. Michailovich, Zhou Wang

IEEE Trans. Image Process., 2012

SSIM-inspired image restoration using sparse representation.

Abdul Rehman, Mohammad Rostami, Zhou Wang, Dominique Brunet, Edward R. Vrscay

EURASIP J. Adv. Signal Process., 2012

Objective quality assessment for image super-resolution: A natural scene statistics approach.

Hojatollah Yeganeh, Mohammad Rostami, Zhou Wang

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Gradient-based surface reconstruction using compressed sensing.

Mohammad Rostami, Oleg V. Michailovich, Zhou Wang

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011

Two-Way Writing on Dirty Paper.

Reza Khosravi-Farsani, Mohammad Rostami

IEEE Commun. Lett., 2011

Parameter selection for smoothing splines using Stein's Unbiased Risk Estimator.

Sepideh Seifzadeh, Mohammad Rostami, Ali Ghodsi, Fakhreddine Karray

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

Evidence-based mixture of MLP-experts.

Saeed Masoudnia, Mohammad Rostami, Mahdi Tabassian, Atena Sajedin, Reza Ebrahimpour

Proceedings of the International Joint Conference on Neural Networks, 2010