Evidence-based mixture of MLP-experts. - Saeed Masoudnia; Mohammad Rostami; Mahdi Tabassian; Atena Sajedin; Reza Ebrahimpour (IJCNN, 2010)

Parameter selection for smoothing splines using Stein's Unbiased Risk Estimator. - Sepideh Seifzadeh; Mohammad Rostami; Ali Ghodsi 001; Fakhreddine Karray (IJCNN, 2011)

Two-Way Writing on Dirty Paper. - Reza Khosravi-Farsani; Mohammad Rostami (IEEE Commun. Lett., 2011)

Gradient-based surface reconstruction using compressed sensing. - Mohammad Rostami; Oleg V. Michailovich; Zhou Wang 001 (ICIP, 2012)

Objective quality assessment for image super-resolution: A natural scene statistics approach. - Hojatollah Yeganeh; Mohammad Rostami; Zhou Wang 001 (ICIP, 2012)

SSIM-inspired image restoration using sparse representation. - Abdul Rehman 001; Mohammad Rostami; Zhou Wang 001; Dominique Brunet; Edward R. Vrscay (EURASIP J. Adv. Signal Process., 2012)

Image Deblurring Using Derivative Compressed Sensing for Optical Imaging Application. - Mohammad Rostami; Oleg V. Michailovich; Zhou Wang 001 (IEEE Trans. Image Process., 2012)

Compressed sensing of diffusion fields under heat equation constraint. - Mohammad Rostami; Ngai-Man Cheung; Tony Q. S. Quek (ICASSP, 2013)

Minimizing maximum tardiness and delivery costs in a batched delivery system. - Mohammad Mahdavi Mazdeh; Mohammad Rostami; Mohammad Hossein Namaki (Comput. Ind. Eng., 2013)

Study of Limit Cycles and Stability Analysis of Fractional Arneodo Oscillator. - Mohammad Rostami; Mohammad Haeri (J. Optim. Theory Appl., 2013)

Compressed Sensing with Side Information on the Feasible Region - Mohammad Rostami (Springer, 2013)

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)

Undamped oscillations in fractional-order Duffing oscillator. - Mohammad Rostami; Mohammad Haeri (Signal Process., 2015)

Surface Reconstruction in Gradient-Field Domain Using Compressed Sensing. - Mohammad Rostami; Oleg V. Michailovich; Zhou Wang 001 (IEEE Trans. Image Process., 2015)

Objective Quality Assessment of Interpolated Natural Images. - Hojatollah Yeganeh; Mohammad Rostami; Zhou Wang 001 (IEEE Trans. Image Process., 2015)

Efficient Environmental Temperature Monitoring Using Compressed Sensing. - Ali Hashemi 002; Mohammad Rostami; Ngai-Man Cheung (DCC, 2016)

Using Task Features for Zero-Shot Knowledge Transfer in Lifelong Learning. - David Isele; Mohammad Rostami; Eric Eaton (IJCAI, 2016)

Testing Fine-Grained Parallelism for the ADMM on a Factor-Graph. - Ning Hao; AmirReza Oghbaee; Mohammad Rostami; Nate Derbinsky; José Bento 001 (IPDPS Workshops, 2016)

Braidio: An Integrated Active-Passive Radio for Mobile Devices with Asymmetric Energy Budgets. - Pan Hu 003; Pengyu Zhang; Mohammad Rostami; Deepak Ganesan (SIGCOMM, 2016)

Enabling Practical Backscatter Communication for On-body Sensors. - Pengyu Zhang; Mohammad Rostami; Pan Hu 003; Deepak Ganesan (SIGCOMM, 2016)

Image Super-Resolution Based on Sparsity Prior via Smoothed l0 Norm. - Mohammad Rostami; Zhou Wang 001 (CoRR, 2016)

Transfer of Knowledge through Collective Learning. - Mohammad Rostami (AAAI, 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)

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)

Joint Dictionaries for Zero-Shot Learning. - Soheil Kolouri; Mohammad Rostami; Yuri Owechko; Kyungnam Kim (AAAI, 2018)

Lifelong Learning Networks: Beyond Single Agent Lifelong Learning. - Mohammad Rostami; Eric Eaton (AAAI, 2018)

Multi-Agent Distributed Lifelong Learning for Collective Knowledge Acquisition. - Mohammad Rostami; Soheil Kolouri; Kyungnam Kim; Eric Eaton (AAMAS, 2018)

A crowdsourcing triage algorithm for geopolitical event forecasting. - Mohammad Rostami; David J. Huber; Tsai-Ching Lu (RecSys, 2018)

Polymorphic radios: a new design paradigm for ultra-low power communication. - Mohammad Rostami; Jeremy Gummeson; Ali Kiaghadi; Deepak Ganesan (SIGCOMM, 2018)

Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks. - Phillip E. Pope; Soheil Kolouri; Mohammad Rostami; Charles E. Martin; Heiko Hoffmann (CoRR, 2018)

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 (Allerton, 2019)

Explainability Methods for Graph Convolutional Neural Networks. - Phillip E. Pope; Soheil Kolouri; Mohammad Rostami; Charles E. Martin; Heiko Hoffmann (CVPR, 2019)

SAR Image Classification Using Few-Shot Cross-Domain Transfer Learning. - Mohammad Rostami; Soheil Kolouri; Eric Eaton; Kyungnam Kim (CVPR Workshops, 2019)

Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay. - Mohammad Rostami; Soheil Kolouri; Praveen K. Pilly (IJCAI, 2019)

Zero-Shot Image Classification Using Coupled Dictionary Embedding. - Mohammad Rostami; Soheil Kolouri; Zak Murez; Yuri Owekcho; Eric Eaton; Kyungnam Kim (CoRR, 2019)

Deep Transfer Learning for Few-Shot SAR Image Classification. - Mohammad Rostami; Soheil Kolouri; Eric Eaton; Kyungnam Kim (Remote. Sens., 2019)

Generative Continual Concept Learning. - Mohammad Rostami; Soheil Kolouri; Praveen K. Pilly; James L. McClelland (AAAI, 2020)

Redefining passive in backscattering with commodity devices. - Mohammad Rostami; Karthik Sundaresan; Eugene Chai; Sampath Rangarajan; Deepak Ganesan (MobiCom, 2020)

Sequential Unsupervised Domain Adaptation through Prototypical Distributions. - Mohammad Rostami; Aram Galstyan (CoRR, 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)

A lagrangian relaxation algorithm for facility location of resource-constrained decentralized multi-project scheduling problems. - Mohammad Rostami; Morteza Bagherpour (Oper. Res., 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)

Unsupervised Model Adaptation for Continual Semantic Segmentation. - Serban Stan; Mohammad Rostami (AAAI, 2021)

One-shot Learning for Temporal Knowledge Graphs. - Mehrnoosh Mirtaheri; Mohammad Rostami; Xiang Ren 001; Fred Morstatter; Aram Galstyan (AKBC, 2021)

Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning. - Xisen Jin; Bill Yuchen Lin; Mohammad Rostami; Xiang Ren 001 (EMNLP (Findings), 2021)

Demo: Knowledge Graph-Based Housing Market Analysis. - Ziping Hu; Zepei Zhao; Mohammad Rostami; Filip Ilievski; Basel Shbita (KGCW@ESWC, 2021)

Open Drug Knowledge Graph. - Mark Mann; Filip Ilievski; Mohammad Rostami; Aastha; Basel Shbita (KGCW@ESWC, 2021)

Detection and Continual Learning of Novel Face Presentation Attacks. - Mohammad Rostami; Leonidas Spinoulas; Mohamed E. Hussein 001; Joe Mathai; Wael Abd-Almageed (ICCV, 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 (MobiCom, 2021)

Lifelong Domain Adaptation via Consolidated Internal Distribution. - Mohammad Rostami (NeurIPS, 2021)

COCOON: A Conductive Substrate-based Coupled Oscillator Network for Wireless Communication. - Xingda Chen; Deepak Ganesan; Jeremy Gummeson; Mohammad Rostami (SenSys, 2021)

Integrated hub location and flow processing schedule problem under renewable capacity constraint. - Mohammad Rostami; Armin Jabbarzadeh (Comput. Appl. Math., 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)

Privacy Preserving Domain Adaptation for Semantic Segmentation of Medical Images. - Serban Stan; Mohammad Rostami (CoRR, 2021)

Lifelong Learning of Few-shot Learners across NLP Tasks. - Xisen Jin; Mohammad Rostami; Xiang Ren 001 (CoRR, 2021)

Domain Adaptation for Sentiment Analysis Using Increased Intraclass Separation. - Mohammad Rostami; Aram Galstyan (CoRR, 2021)

Domain Adaptation for the Segmentation of Confidential Medical Images. - Serban Stan; Mohammad Rostami (BMVC, 2022)

Increasing Model Generalizability for Unsupervised Visual Domain Adaptation. - Mohammad Rostami (CoLLAs, 2022)

Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning. - Kleanthis Avramidis; Mohammad Rostami; Melinda Chang; Shrikanth Narayanan (ICIP, 2022)

Enabling high accuracy pervasive tracking with ultra low power UWB tags. - Mohammad Rostami; Karthikeyan Sundaresan (MobiCom, 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 (NeurIPS, 2022)

Increasing Model Generalizability for Unsupervised Domain Adaptation. - Mohammad Rostami (CoRR, 2022)

Secure Domain Adaptation with Multiple Sources. - Serban Stan; Mohammad Rostami (Trans. Mach. Learn. Res., 2022)

Internal Robust Representations for Domain Generalization. - Mohammad Rostami (AAAI, 2023)

Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions. - Mohammad Rostami; Aram Galstyan (AAAI, 2023)

History repeats: Overcoming catastrophic forgetting for event-centric temporal knowledge graph completion. - Mehrnoosh Mirtaheri; Mohammad Rostami; Aram Galstyan (ACL (Findings), 2023)

I2I: Initializing Adapters with Improvised Knowledge. - Tejas Srinivasan; Furong Jia 002; Mohammad Rostami; Jesse Thomason (CoLLAs, 2023)

Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation. - Yuliang Cai; Jesse Thomason; Mohammad Rostami (EMNLP (Findings), 2023)

Domain Adaptation for Sentiment Analysis Using Robust Internal Representations. - Mohammad Rostami; Digbalay Bose; Shrikanth Narayanan; Aram Galstyan (EMNLP (Findings), 2023)

Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning. - Dayuan Jian; Mohammad Rostami (ICCV, 2023)

Identification of Novel Classes for Improving Few-Shot Object Detection. - Zeyu Shangguan; Mohammad Rostami (ICCV (Workshops), 2023)

Cognitively Inspired Learning of Incremental Drifting Concepts. - Mohammad Rostami; Aram Galstyan (IJCAI, 2023)

TMaLB: A Tolerable Many-Objective Load Balancing Technique for IoT Workflows Allocation. - Mohammad Rostami; Salman Goli-Bidgoli (IEEE Access, 2023)

Unsupervised Domain Adaptation for Graph-Structured Data Using Class-Conditional Distribution Alignment. - Mengxi Wu; Mohammad Rostami (CoRR, 2023)

Encoding Binary Concepts in the Latent Space of Generative Models for Enhancing Data Representation. - Zizhao Hu; Mohammad Rostami (CoRR, 2023)

Explainable Artificial Intelligence Architecture for Melanoma Diagnosis Using Indicator Localization and Self-Supervised Learning. - Ruitong Sun; Mohammad Rostami (CoRR, 2023)

Low-Shot Learning for Fictional Claim Verification. - Viswanath Chadalapaka; Derek Nguyen; JoonWon Choi; Shaunak Joshi; Mohammad Rostami (CoRR, 2023)

Cognitively Inspired Cross-Modal Data Generation Using Diffusion Models. - Zizhao Hu; Mohammad Rostami (CoRR, 2023)

Class-Incremental Learning Using Generative Experience Replay Based on Time-aware Regularization. - Zizhao Hu; 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)

Efficient Multimodal Diffusion Models Using Joint Data Infilling with Partially Shared U-Net. - Zizhao Hu; Shaochong Jia; Mohammad Rostami (CoRR, 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., 2023)

Robust internal representations for domain generalization. - Mohammad Rostami (AI Mag., 2023)

Scalable Acoustic IoT through Composable Distributed Beamforming Tags. - Mohammad Rostami; Alan Liu; Karthikeyan Sundaresan (IPSN, 2024)

NMformer: A Transformer for Noisy Modulation Classification in Wireless Communication. - Atik Faysal; Mohammad Rostami; Reihaneh Gh. Roshan; Huaxia Wang; Nikhil Muralidhar (WOCC, 2024)

BEpiC: Binary Episodes for Meta-Learning Towards Better Generalization. - Atik Faysal; Mohammad Rostami; Huaxia Wang; Avimanyu Sahoo; Ryan Antle (WOCC, 2024)

Tackling Long-Tail Entities for Temporal Knowledge Graph Completion. - Mehrnoosh Mirtaheri; Ryan A. Rossi; Sungchul Kim; Kanak Mahadik; Tong Yu 001; Xiang Chen; Mohammad Rostami (WWW (Companion Volume), 2024)

Online Continual Domain Adaptation for Semantic Image Segmentation Using Internal Representations. - Serban Stan; 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)

Unsupervised Federated Domain Adaptation for Segmentation of MRI Images. - Navapat Nananukul; Hamid Soltanian-Zadeh; Mohammad Rostami (CoRR, 2024)

Unsupervised Domain Adaptation Using Compact Internal Representations. - Mohammad Rostami (CoRR, 2024)

Dynamic Transformer Architecture for Continual Learning of Multimodal Tasks. - Yuliang Cai; Mohammad Rostami (CoRR, 2024)

Meta-Tasks: An alternative view on Meta-Learning Regularization. - Mohammad Rostami; Atik Faysal; Huaxia Wang; Avimanyu Sahoo; Ryan Antle (CoRR, 2024)

CRISPR: Ensemble Model. - Mohammad Rostami; Amin Ghariyazi; Hamed Dashti; Mohammad Hossein Rohban; Hamid R. Rabiee (CoRR, 2024)

An Intermediate Fusion ViT Enables Efficient Text-Image Alignment in Diffusion Models. - Zizhao Hu; Shaochong Jia; Mohammad Rostami (CoRR, 2024)

Lateralization MLP: A Simple Brain-inspired Architecture for Diffusion. - Zizhao Hu; Mohammad Rostami (CoRR, 2024)

Curvature Diversity-Driven Deformation and Domain Alignment for Point Cloud. - Mengxi Wu; Hao Huang; Yi Fang; Mohammad Rostami (CoRR, 2024)

Cross-Domain Distribution Alignment for Segmentation of Private Unannotated 3D Medical Images. - Ruitong Sun; Mohammad Rostami (CoRR, 2024)

Static Key Attention in Vision. - Zizhao Hu; Xiaolin Zhou; Mohammad Rostami (CoRR, 2024)

Source-free domain adaptation for semantic image segmentation using internal representations. - Serban Stan; Mohammad Rostami (Frontiers Big Data, 2024)

Continuous unsupervised domain adaptation using stabilized representations and experience replay. - Mohammad Rostami (Neurocomputing, 2024)

Preserving Fairness in AI under Domain Shift. - Serban Stan; Mohammad Rostami (J. Artif. Intell. Res., 2024)

Unsupervised model adaptation for source-free segmentation of medical images. - Serban Stan; Mohammad Rostami (Medical Image Anal., 2024)

Improved region proposal network for enhanced few-shot object detection. - Zeyu Shangguan; Mohammad Rostami (Neural Networks, 2024)

Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data. - Mengxi Wu; Mohammad Rostami (Trans. Mach. Learn. Res., 2024)

Improving unsupervised domain adaptation through class-conditional compact representations. - Mohammad Rostami (Neural Comput. Appl., 2024)

Two-machine decentralized flow shop scheduling problem with inter-factory batch delivery system. - Mohammad Rostami; Milad Mohammadi (Oper. Res., 2024)

An overview of QoS-aware load balancing techniques in SDN-based IoT networks. - Mohammad Rostami; Salman Goli-Bidgoli (J. Cloud Comput., 2024)

Cross-Domain Multi-Modal Few-Shot Object Detection via Rich Text. - Zeyu Shangguan; Daniel Seita; Mohammad Rostami (WACV, 2025)

CluMo: Cluster-based Modality Fusion Prompt for Continual Learning in Visual Question Answering. - Yuliang Cai; Mohammad Rostami (J. Artif. Intell. Res., 2025)

Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning. - Mohammadamin Banayeeanzade; Mahdi Soltanolkotabi; Mohammad Rostami (Trans. Mach. Learn. Res., 2025)

pMixFed: Efficient Personalized Federated Learning through Adaptive Layer-Wise Mixup. - Yasaman Saadati; Mohammad Rostami; M. Hadi Amini (CoRR, 2025)

Cross-domain Few-shot Object Detection with Multi-modal Textual Enrichment. - Zeyu Shangguan; Daniel Seita; Mohammad Rostami (CoRR, 2025)

DenoMAE2.0: Improving Denoising Masked Autoencoders by Classifying Local Patches. - Atik Faysal; Mohammad Rostami; Taha Boushine; Reihaneh Gh. Roshan; Huaxia Wang; Nikhil Muralidhar (CoRR, 2025)

Hybrid Learners Do Not Forget: A Brain-Inspired Neuro-Symbolic Approach to Continual Learning. - Amin Banayeeanzade; Mohammad Rostami (CoRR, 2025)

Plug-and-Play AMC: Context Is King in Training-Free, Open-Set Modulation with LLMs. - Mohammad Rostami; Atik Faysal; Reihaneh Gh. Roshan; Huaxia Wang; Nikhil Muralidhar; Yu-Dong Yao (CoRR, 2025)

Multi-modal Synthetic Data Training and Model Collapse: Insights from VLMs and Diffusion Models. - Zizhao Hu; Mohammad Rostami; Jesse Thomason (CoRR, 2025)

TNG-CLIP:Training-Time Negation Data Generation for Negation Awareness of CLIP. - Yuliang Cai; Jesse Thomason; Mohammad Rostami (CoRR, 2025)

Towards Improving Long-Tail Entity Predictions in Temporal Knowledge Graphs through Global Similarity and Weighted Sampling. - Mehrnoosh Mirtaheri; Ryan A. Rossi; Sungchul Kim; Kanak Mahadik; Tong Yu 001; Xiang Chen; Mohammad Rostami (CoRR, 2025)

DenoMAE: A Multimodal Autoencoder for Denoising Modulation Signals. - Atik Faysal; Taha Boushine; Mohammad Rostami; Reihaneh Gh. Roshan; Huaxia Wang; Nikhil Muralidhar; Avimanyu Sahoo; Yu-Dong Yao (IEEE Commun. Lett., 2025)

Multi-Source Data Integration for Segmentation of Unannotated MRI Images. - Navapat Nananukul; Hamid Soltanian-Zadeh; Mohammad Rostami (IEEE J. Biomed. Health Informatics, 2025)