Mohammad Rostami

160 papers A* 21A 4B 7Misc 2Journal 108Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CageDroneRF: A Large-Scale RF Benchmark and Toolkit for Drone Perception. CoRR Mohammad Rostami, Atik Faysal, Hongtao Xia, Hadi Kasasbeh, Ziang Gao, Huaxia Wang
2026	J	`jnl`	DenoMAE2.0: Improving Denoising Masked Autoencoders by Classifying Local Patches for Automatic Modulation Classification. IEEE Trans. Commun. Atik Faysal, Mohammad Rostami, Taha Boushine, Reihaneh Gh. Roshan, Nikhil Muralidhar, Yu-Dong Yao, Huaxia Wang
2026	J	`jnl`	Expert Personas Improve LLM Alignment but Damage Accuracy: Bootstrapping Intent-Based Persona Routing with PRISM. CoRR Zizhao Hu, Mohammad Rostami, Jesse Thomason
2026	J	`jnl`	Finetune-Informed Pretraining Boosts Downstream Performance. CoRR Atik Faysal, Mohammad Rostami, Reihaneh Gh. Roshan, Nikhil Muralidhar, Huaxia Wang
2026	J	`jnl`	Metarep: improving meta-learning accuracy by learning episodic representation. Int. J. Mach. Learn. Cybern. Atik Faysal, Mohammad Rostami, Huaxia Wang, Avimanyu Sahoo, Ryan Antle
2026	J	`jnl`	Semi-Supervised Masked Autoencoders: Unlocking Vision Transformer Potential with Limited Data. CoRR Atik Faysal, Mohammad Rostami, Reihaneh Gh. Roshan, Nikhil Muralidhar, Huaxia Wang
2025	J	`jnl`	CluMo: Cluster-based Modality Fusion Prompt for Continual Learning in Visual Question Answering. J. Artif. Intell. Res. Yuliang Cai, Mohammad Rostami
2025	A	`conf`	Cross-Domain Multi-Modal Few-Shot Object Detection via Rich Text. WACV Zeyu Shangguan, Daniel Seita, Mohammad Rostami
2025	J	`jnl`	Cross-domain Few-shot Object Detection with Multi-modal Textual Enrichment. CoRR Zeyu Shangguan, Daniel Seita, Mohammad Rostami
2025	J	`jnl`	Curvature Diversity-Driven Deformation and Domain Alignment for Point Cloud. Trans. Mach. Learn. Res. Mengxi Wu, Hao Huang, Yi Fang, Mohammad Rostami
2025	J	`jnl`	DenoMAE2.0: Improving Denoising Masked Autoencoders by Classifying Local Patches. CoRR Atik Faysal, Mohammad Rostami, Taha Boushine, Reihaneh Gh. Roshan, Huaxia Wang, Nikhil Muralidhar
2025	J	`jnl`	DenoMAE: A Multimodal Autoencoder for Denoising Modulation Signals. CoRR Atik Faysal, Taha Boushine, Mohammad Rostami, Reihaneh Gh. Roshan, Huaxia Wang, Nikhil Muralidhar, Avimanyu Sahoo, Yu-Dong Yao
2025	J	`jnl`	DenoMAE: A Multimodal Autoencoder for Denoising Modulation Signals. IEEE Commun. Lett. Atik Faysal, Taha Boushine, Mohammad Rostami, Reihaneh Gh. Roshan, Huaxia Wang, Nikhil Muralidhar, Avimanyu Sahoo, Yu-Dong Yao
2025	J	`jnl`	DiSC-AMC: Token- and Parameter-Efficient Discretized Statistics In-Context Automatic Modulation Classification. CoRR Mohammad Rostami, Atik Faysal, Reihaneh Gh. Roshan, Huaxia Wang, Nikhil Muralidhar, Yu-Dong Yao
2025	J	`jnl`	Hybrid Learners Do Not Forget: A Brain-Inspired Neuro-Symbolic Approach to Continual Learning. CoRR Amin Banayeeanzade, Mohammad Rostami
2025	J	`jnl`	Multi-Source Data Integration for Segmentation of Unannotated MRI Images. IEEE J. Biomed. Health Informatics Navapat Nananukul, Hamid Soltanian-Zadeh, Mohammad Rostami
2025	J	`jnl`	Multi-modal Synthetic Data Training and Model Collapse: Insights from VLMs and Diffusion Models. CoRR Zizhao Hu, Mohammad Rostami, Jesse Thomason
2025	B	`conf`	Multimodal Synthetic Data Finetuning and Model Collapse: Insights from VLMs and Diffusion Models. ICMI Zizhao Hu, Mohammad Rostami, Jesse Thomason
2025	J	`jnl`	Plug-and-Play AMC: Context Is King in Training-Free, Open-Set Modulation with LLMs. CoRR Mohammad Rostami, Atik Faysal, Reihaneh Gh. Roshan, Huaxia Wang, Nikhil Muralidhar, Yu-Dong Yao
2025	J	`jnl`	TNG-CLIP:Training-Time Negation Data Generation for Negation Awareness of CLIP. CoRR Yuliang Cai, Jesse Thomason, Mohammad Rostami
2025	J	`jnl`	Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning. Trans. Mach. Learn. Res. Mohammadamin Banayeeanzade, Mahdi Soltanolkotabi, Mohammad Rostami
2025	J	`jnl`	Towards Improving Long-Tail Entity Predictions in Temporal Knowledge Graphs through Global Similarity and Weighted Sampling. CoRR Mehrnoosh Mirtaheri, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Tong Yu, Xiang Chen, Mohammad Rostami
2025	J	`jnl`	pMixFed: Efficient Personalized Federated Learning through Adaptive Layer-Wise Mixup. CoRR Yasaman Saadati, Mohammad Rostami, M. Hadi Amini
2024	J	`jnl`	An Intermediate Fusion ViT Enables Efficient Text-Image Alignment in Diffusion Models. CoRR Zizhao Hu, Shaochong Jia, Mohammad Rostami
2024	J	`jnl`	An overview of QoS-aware load balancing techniques in SDN-based IoT networks. J. Cloud Comput. Mohammad Rostami, Salman Goli-Bidgoli
2024	—	`conf`	BEpiC: Binary Episodes for Meta-Learning Towards Better Generalization. WOCC Atik Faysal, Mohammad Rostami, Huaxia Wang, Avimanyu Sahoo, Ryan Antle
2024	J	`jnl`	CRISPR: Ensemble Model. CoRR Mohammad Rostami, Amin Ghariyazi, Hamed Dashti, Mohammad Hossein Rohban, Hamid R. Rabiee
2024	J	`jnl`	CluMo: Cluster-based Modality Fusion Prompt for Continual Learning in Visual Question Answering. CoRR Yuliang Cai, Mohammad Rostami
2024	J	`jnl`	Continuous Unsupervised Domain Adaptation Using Stabilized Representations and Experience Replay. CoRR Mohammad Rostami
2024	J	`jnl`	Continuous unsupervised domain adaptation using stabilized representations and experience replay. Neurocomputing Mohammad Rostami
2024	J	`jnl`	Cross-Domain Distribution Alignment for Segmentation of Private Unannotated 3D Medical Images. CoRR Ruitong Sun, Mohammad Rostami
2024	J	`jnl`	Cross-domain Multi-modal Few-shot Object Detection via Rich Text. CoRR Zeyu Shangguan, Daniel Seita, Mohammad Rostami
2024	J	`jnl`	Curvature Diversity-Driven Deformation and Domain Alignment for Point Cloud. CoRR Mengxi Wu, Hao Huang, Yi Fang, Mohammad Rostami
2024	J	`jnl`	Dynamic Transformer Architecture for Continual Learning of Multimodal Tasks. CoRR Yuliang Cai, Mohammad Rostami
2024	J	`jnl`	Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data. Trans. Mach. Learn. Res. Mengxi Wu, Mohammad Rostami
2024	J	`jnl`	Improved region proposal network for enhanced few-shot object detection. Neural Networks Zeyu Shangguan, Mohammad Rostami
2024	J	`jnl`	Improving unsupervised domain adaptation through class-conditional compact representations. Neural Comput. Appl. Mohammad Rostami
2024	J	`jnl`	Lateralization MLP: A Simple Brain-inspired Architecture for Diffusion. CoRR Zizhao Hu, Mohammad Rostami
2024	J	`jnl`	Meta-Tasks: An alternative view on Meta-Learning Regularization. CoRR Mohammad Rostami, Atik Faysal, Huaxia Wang, Avimanyu Sahoo, Ryan Antle
2024	—	`conf`	NMformer: A Transformer for Noisy Modulation Classification in Wireless Communication. WOCC Atik Faysal, Mohammad Rostami, Reihaneh Gh. Roshan, Huaxia Wang, Nikhil Muralidhar
2024	J	`jnl`	NMformer: A Transformer for Noisy Modulation Classification in Wireless Communication. CoRR Atik Faysal, Mohammad Rostami, Reihaneh Gh. Roshan, Huaxia Wang, Nikhil Muralidhar
2024	J	`jnl`	Online Continual Domain Adaptation for Semantic Image Segmentation Using Internal Representations. CoRR Serban Stan, Mohammad Rostami
2024	J	`jnl`	Preserving Fairness in AI under Domain Shift. J. Artif. Intell. Res. Serban Stan, Mohammad Rostami
2024	J	`jnl`	Relating Events and Frames Based on Self-Supervised Learning and Uncorrelated Conditioning for Unsupervised Domain Adaptation. CoRR Mohammad Rostami, Dayuan Jian
2024	—	`conf`	Scalable Acoustic IoT through Composable Distributed Beamforming Tags. IPSN Mohammad Rostami, Alan Liu, Karthikeyan Sundaresan
2024	J	`jnl`	Source-free domain adaptation for semantic image segmentation using internal representations. Frontiers Big Data Serban Stan, Mohammad Rostami
2024	J	`jnl`	Static Key Attention in Vision. CoRR Zizhao Hu, Xiaolin Zhou, Mohammad Rostami
2024	—	`conf`	Tackling Long-Tail Entities for Temporal Knowledge Graph Completion. WWW (Companion Volume) Mehrnoosh Mirtaheri, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Tong Yu, Xiang Chen, Mohammad Rostami
2024	J	`jnl`	Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning. CoRR Mohammadamin Banayeeanzade, Mahdi Soltanolkotabi, Mohammad Rostami
2024	J	`jnl`	Two-machine decentralized flow shop scheduling problem with inter-factory batch delivery system. Oper. Res. Mohammad Rostami, Milad Mohammadi
2024	J	`jnl`	Unsupervised Domain Adaptation Using Compact Internal Representations. CoRR Mohammad Rostami
2024	J	`jnl`	Unsupervised Federated Domain Adaptation for Segmentation of MRI Images. CoRR Navapat Nananukul, Hamid Soltanian-Zadeh, Mohammad Rostami
2024	J	`jnl`	Unsupervised model adaptation for source-free segmentation of medical images. Medical Image Anal. Serban Stan, Mohammad Rostami
2023	J	`jnl`	A gamified teaching-learning based optimization algorithm for a three-echelon supply chain scheduling problem in a two-stage assembly flow shop environment. Appl. Soft Comput. Mohammad Rostami, Ali Yousefzadeh
2023	J	`jnl`	Class-Incremental Learning Using Generative Experience Replay Based on Time-aware Regularization. CoRR Zizhao Hu, Mohammad Rostami
2023	J	`jnl`	Cognitively Inspired Cross-Modal Data Generation Using Diffusion Models. CoRR Zizhao Hu, Mohammad Rostami
2023	A*	`conf`	Cognitively Inspired Learning of Incremental Drifting Concepts. IJCAI Mohammad Rostami, Aram Galstyan
2023	—	`conf`	Domain Adaptation for Sentiment Analysis Using Robust Internal Representations. EMNLP (Findings) Mohammad Rostami, Digbalay Bose, Shrikanth Narayanan, Aram Galstyan
2023	J	`jnl`	Efficient Multimodal Diffusion Models Using Joint Data Infilling with Partially Shared U-Net. CoRR Zizhao Hu, Shaochong Jia, Mohammad Rostami
2023	J	`jnl`	Encoding Binary Concepts in the Latent Space of Generative Models for Enhancing Data Representation. CoRR Zizhao Hu, Mohammad Rostami
2023	J	`jnl`	Explainable Artificial Intelligence Architecture for Melanoma Diagnosis Using Indicator Localization and Self-Supervised Learning. CoRR Ruitong Sun, Mohammad Rostami
2023	J	`jnl`	History Repeats: Overcoming Catastrophic Forgetting For Event-Centric Temporal Knowledge Graph Completion. CoRR Mehrnoosh Mirtaheri, Mohammad Rostami, Aram Galstyan
2023	—	`conf`	History repeats: Overcoming catastrophic forgetting for event-centric temporal knowledge graph completion. ACL (Findings) Mehrnoosh Mirtaheri, Mohammad Rostami, Aram Galstyan
2023	—	`conf`	I2I: Initializing Adapters with Improvised Knowledge. CoLLAs Tejas Srinivasan, Furong Jia, Mohammad Rostami, Jesse Thomason
2023	J	`jnl`	I2I: Initializing Adapters with Improvised Knowledge. CoRR Tejas Srinivasan, Furong Jia, Mohammad Rostami, Jesse Thomason
2023	—	`conf`	Identification of Novel Classes for Improving Few-Shot Object Detection. ICCV (Workshops) Zeyu Shangguan, Mohammad Rostami
2023	J	`jnl`	Identification of Novel Classes for Improving Few-Shot Object Detection. CoRR Zeyu Shangguan, Mohammad Rostami
2023	J	`jnl`	Improved Region Proposal Network for Enhanced Few-Shot Object Detection. CoRR Zeyu Shangguan, Mohammad Rostami
2023	A*	`conf`	Internal Robust Representations for Domain Generalization. AAAI Mohammad Rostami
2023	J	`jnl`	Low-Shot Learning for Fictional Claim Verification. CoRR Viswanath Chadalapaka, Derek Nguyen, Joonwon Choi, Shaunak Joshi, Mohammad Rostami
2023	A*	`conf`	Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions. AAAI Mohammad Rostami, Aram Galstyan
2023	J	`jnl`	Preserving Fairness in AI under Domain Shift. CoRR Serban Stan, Mohammad Rostami
2023	J	`jnl`	Robust Internal Representations for Domain Generalization. CoRR Mohammad Rostami
2023	J	`jnl`	Robust internal representations for domain generalization. AI Mag. Mohammad Rostami
2023	J	`jnl`	TMaLB: A Tolerable Many-Objective Load Balancing Technique for IoT Workflows Allocation. IEEE Access Mohammad Rostami, Salman Goli-Bidgoli
2023	—	`conf`	Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation. EMNLP (Findings) Yuliang Cai, Jesse Thomason, Mohammad Rostami
2023	J	`jnl`	Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation. CoRR Yuliang Cai, Jesse Thomason, Mohammad Rostami
2023	J	`jnl`	Unsupervised Domain Adaptation for Graph-Structured Data Using Class-Conditional Distribution Alignment. CoRR Mengxi Wu, Mohammad Rostami
2023	A*	`conf`	Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning. ICCV Dayuan Jian, Mohammad Rostami
2023	J	`jnl`	Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning. CoRR Dayuan Jian, Mohammad Rostami
2023	J	`jnl`	Unsupervised Representation Learning to Aid Semi-Supervised Meta Learning. CoRR Atik Faysal, Mohammad Rostami, Huaxia Wang, Avimanyu Sahoo, Ryan Antle
2022	B	`conf`	Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning. ICIP Kleanthis Avramidis, Mohammad Rostami, Melinda Chang, Shrikanth Narayanan
2022	J	`jnl`	Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning. CoRR Kleanthis Avramidis, Mohammad Rostami, Melinda Chang, Shrikanth Narayanan
2022	A*	`conf`	CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks. NeurIPS Tejas Srinivasan, Ting-Yun Chang, Leticia Leonor Pinto Alva, Georgios Chochlakis, Mohammad Rostami, Jesse Thomason
2022	J	`jnl`	CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks. CoRR Tejas Srinivasan, Ting-Yun Chang, Leticia Leonor Pinto Alva, Georgios Chochlakis, Mohammad Rostami, Jesse Thomason
2022	A	`conf`	Domain Adaptation for the Segmentation of Confidential Medical Images. BMVC Serban Stan, Mohammad Rostami
2022	A*	`conf`	Enabling high accuracy pervasive tracking with ultra low power UWB tags. MobiCom Mohammad Rostami, Karthikeyan Sundaresan
2022	J	`jnl`	Increasing Model Generalizability for Unsupervised Domain Adaptation. CoRR Mohammad Rostami
2022	—	`conf`	Increasing Model Generalizability for Unsupervised Visual Domain Adaptation. CoLLAs Mohammad Rostami
2022	J	`jnl`	Secure Domain Adaptation with Multiple Sources. Trans. Mach. Learn. Res. Serban Stan, Mohammad Rostami
2022	J	`jnl`	Unsupervised Model Adaptation for Source-free Segmentation of Medical Images. CoRR Serban Stan, Mohammad Rostami
2021	Misc	`conf`	COCOON: A Conductive Substrate-based Coupled Oscillator Network for Wireless Communication. SenSys Xingda Chen, Deepak Ganesan, Jeremy Gummeson, Mohammad Rostami
2021	J	`jnl`	Cognitively Inspired Learning of Incremental Drifting Concepts. CoRR Mohammad Rostami, Aram Galstyan
2021	—	`conf`	Demo: Knowledge Graph-Based Housing Market Analysis. KGCW@ESWC Ziping Hu, Zepei Zhao, Mohammad Rostami, Filip Ilievski, Basel Shbita
2021	A*	`conf`	Detection and Continual Learning of Novel Face Presentation Attacks. ICCV Mohammad Rostami, Leonidas Spinoulas, Mohamed E. Hussein, Joe Mathai, Wael Abd-Almageed
2021	J	`jnl`	Detection and Continual Learning of Novel Face Presentation Attacks. CoRR Mohammad Rostami, Leonidas Spinoulas, Mohamed E. Hussein, Joe Mathai, Wael Abd-Almageed
2021	J	`jnl`	Domain Adaptation for Sentiment Analysis Using Increased Intraclass Separation. CoRR Mohammad Rostami, Aram Galstyan
2021	J	`jnl`	Integrated hub location and flow processing schedule problem under renewable capacity constraint. Comput. Appl. Math. Mohammad Rostami, Armin Jabbarzadeh
2021	—	`conf`	Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning. EMNLP (Findings) Xisen Jin, Bill Yuchen Lin, Mohammad Rostami, Xiang Ren
2021	A*	`conf`	Lifelong Domain Adaptation via Consolidated Internal Distribution. NeurIPS Mohammad Rostami
2021	J	`jnl`	Lifelong Learning of Few-shot Learners across NLP Tasks. CoRR Xisen Jin, Mohammad Rostami, Xiang Ren
2021	A*	`conf`	MIXIQ: re-thinking ultra-low power receiver design for next-generation on-body applications. MobiCom Mohammad Rostami, Xingda Chen, Yuda Feng, Karthikeyan Sundaresan, Deepak Ganesan
2021	J	`jnl`	Minimizing maximum tardiness subject to collect the EOL products in a single machine scheduling problem with capacitated batch delivery and pickup systems. Comput. Ind. Eng. Mohammad Rostami
2021	—	`conf`	One-shot Learning for Temporal Knowledge Graphs. AKBC Mehrnoosh Mirtaheri, Mohammad Rostami, Xiang Ren, Fred Morstatter, Aram Galstyan
2021	—	`conf`	Open Drug Knowledge Graph. KGCW@ESWC Mark Mann, Filip Ilievski, Mohammad Rostami, Aastha, Basel Shbita
2021	J	`jnl`	Privacy Preserving Domain Adaptation for Semantic Segmentation of Medical Images. CoRR Serban Stan, Mohammad Rostami
2021	J	`jnl`	Secure Domain Adaptation with Multiple Sources. CoRR Serban Stan, Mohammad Rostami
2021	A*	`conf`	Unsupervised Model Adaptation for Continual Semantic Segmentation. AAAI Serban Stan, Mohammad Rostami
2020	J	`jnl`	A lagrangian relaxation algorithm for facility location of resource-constrained decentralized multi-project scheduling problems. Oper. Res. Mohammad Rostami, Morteza Bagherpour
2020	A*	`conf`	Generative Continual Concept Learning. AAAI Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly, James L. McClelland
2020	J	`jnl`	Minimizing total weighted completion and batch delivery times with machine deterioration and learning effect: a case study from wax production. Oper. Res. Mohammad Rostami, Shiva Nikravesh, Mahdi Shahin
2020	J	`jnl`	One-shot Learning for Temporal Knowledge Graphs. CoRR Mehrnoosh Mirtaheri, Mohammad Rostami, Xiang Ren, Fred Morstatter, Aram Galstyan
2020	A*	`conf`	Redefining passive in backscattering with commodity devices. MobiCom Mohammad Rostami, Karthik Sundaresan, Eugene Chai, Sampath Rangarajan, Deepak Ganesan
2020	J	`jnl`	Sequential Unsupervised Domain Adaptation through Prototypical Distributions. CoRR Mohammad Rostami, Aram Galstyan
2020	J	`jnl`	Unsupervised Model Adaptation for Continual Semantic Segmentation. CoRR Serban Stan, Mohammad Rostami
2020	J	`jnl`	Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot Transfer. J. Artif. Intell. Res. Mohammad Rostami, David Isele, Eric Eaton
2019	A*	`conf`	Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay. IJCAI Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly
2019	J	`jnl`	Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay. CoRR Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly
2019	J	`jnl`	Deep Transfer Learning for Few-Shot SAR Image Classification. Remote. Sens. Mohammad Rostami, Soheil Kolouri, Eric Eaton, Kyungnam Kim
2019	A*	`conf`	Explainability Methods for Graph Convolutional Neural Networks. CVPR Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann
2019	J	`jnl`	Generative Continual Concept Learning. CoRR Mohammad Rostami, Soheil Kolouri, James L. McClelland, Praveen K. Pilly
2019	—	`conf`	Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment. Allerton Alexander J. Gabourie, Mohammad Rostami, Phillip E. Pope, Soheil Kolouri, Kyungnam Kim
2019	J	`jnl`	Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment. CoRR Alex Gabourie, Mohammad Rostami, Phillip E. Pope, Soheil Kolouri, Kyungnam Kim
2019	—	`conf`	SAR Image Classification Using Few-Shot Cross-Domain Transfer Learning. CVPR Workshops Mohammad Rostami, Soheil Kolouri, Eric Eaton, Kyungnam Kim
2019	J	`jnl`	Zero-Shot Image Classification Using Coupled Dictionary Embedding. CoRR Mohammad Rostami, Soheil Kolouri, Zak Murez, Yuri Owekcho, Eric Eaton, Kyungnam Kim
2018	A	`conf`	A crowdsourcing triage algorithm for geopolitical event forecasting. RecSys Mohammad Rostami, David J. Huber, Tsai-Ching Lu
2018	J	`jnl`	Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks. CoRR Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann
2018	A*	`conf`	Joint Dictionaries for Zero-Shot Learning. AAAI Soheil Kolouri, Mohammad Rostami, Yuri Owechko, Kyungnam Kim
2018	A*	`conf`	Lifelong Learning Networks: Beyond Single Agent Lifelong Learning. AAAI Mohammad Rostami, Eric Eaton
2018	A	`conf`	Multi-Agent Distributed Lifelong Learning for Collective Knowledge Acquisition. AAMAS Mohammad Rostami, Soheil Kolouri, Kyungnam Kim, Eric Eaton
2018	A*	`conf`	Polymorphic radios: a new design paradigm for ultra-low power communication. SIGCOMM Mohammad Rostami, Jeremy Gummeson, Ali Kiaghadi, Deepak Ganesan
2017	J	`jnl`	Joint Dictionaries for Zero-Shot Learning. CoRR Soheil Kolouri, Mohammad Rostami, Yuri Owechko, Kyungnam Kim
2017	J	`jnl`	Multi-Agent Distributed Lifelong Learning for Collective Knowledge Acquisition. CoRR Mohammad Rostami, Soheil Kolouri, Kyungnam Kim, Eric Eaton
2017	J	`jnl`	Resource Pool Location for Periodic Services in Decentralized Multi-Project Scheduling Problems. J. Comput. Civ. Eng. Mohammad Rostami, Morteza Bagherpour, Mohammad Mahdavi Mazdeh, Ahmad Makui
2017	J	`jnl`	The two stage assembly flow-shop scheduling problem with batching and delivery. Eng. Appl. Artif. Intell. Hamed Kazemi, Mohammad Mahdavi Mazdeh, Mohammad Rostami
2017	A*	`conf`	Transfer of Knowledge through Collective Learning. AAAI Mohammad Rostami
2017	J	`jnl`	Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot Transfer. CoRR David Isele, Mohammad Rostami, Eric Eaton
2016	A*	`conf`	Braidio: An Integrated Active-Passive Radio for Mobile Devices with Asymmetric Energy Budgets. SIGCOMM Pan Hu, Pengyu Zhang, Mohammad Rostami, Deepak Ganesan
2016	B	`conf`	Efficient Environmental Temperature Monitoring Using Compressed Sensing. DCC Ali Hashemi, Mohammad Rostami, Ngai-Man Cheung
2016	A*	`conf`	Enabling Practical Backscatter Communication for On-body Sensors. SIGCOMM Pengyu Zhang, Mohammad Rostami, Pan Hu, Deepak Ganesan
2016	J	`jnl`	Image Super-Resolution Based on Sparsity Prior via Smoothed l CoRR Mohammad Rostami, Zhou Wang
2016	—	`conf`	Testing Fine-Grained Parallelism for the ADMM on a Factor-Graph. IPDPS Workshops Ning Hao, AmirReza Oghbaee, Mohammad Rostami, Nate Derbinsky, José Bento
2016	J	`jnl`	Testing fine-grained parallelism for the ADMM on a factor-graph. CoRR Ning Hao, AmirReza Oghbaee, Mohammad Rostami, Nate Derbinsky, José Bento
2016	A*	`conf`	Using Task Features for Zero-Shot Knowledge Transfer in Lifelong Learning. IJCAI David Isele, Mohammad Rostami, Eric Eaton
2015	J	`jnl`	Multi-objective parallel machine scheduling problem with job deterioration and learning effect under fuzzy environment. Comput. Ind. Eng. Mohammad Rostami, Amir Ebrahimzadeh Pilerood, Mohammad Mahdavi Mazdeh
2015	J	`jnl`	Objective Quality Assessment of Interpolated Natural Images. IEEE Trans. Image Process. Hojatollah Yeganeh, Mohammad Rostami, Zhou Wang
2015	J	`jnl`	Surface Reconstruction in Gradient-Field Domain Using Compressed Sensing. IEEE Trans. Image Process. Mohammad Rostami, Oleg V. Michailovich, Zhou Wang
2015	J	`jnl`	Undamped oscillations in fractional-order Duffing oscillator. Signal Process. Mohammad Rostami, Mohammad Haeri
2013	—	`book`	Compressed Sensing with Side Information on the Feasible Region Mohammad Rostami
2013	Misc	`conf`	Compressed sensing of diffusion fields under heat equation constraint. ICASSP Mohammad Rostami, Ngai-Man Cheung, Tony Q. S. Quek
2013	J	`jnl`	Minimizing maximum tardiness and delivery costs in a batched delivery system. Comput. Ind. Eng. Mohammad Mahdavi Mazdeh, Mohammad Rostami, Mohammad Hossein Namaki
2013	J	`jnl`	Study of Limit Cycles and Stability Analysis of Fractional Arneodo Oscillator. J. Optim. Theory Appl. Mohammad Rostami, Mohammad Haeri
2012	B	`conf`	Gradient-based surface reconstruction using compressed sensing. ICIP Mohammad Rostami, Oleg V. Michailovich, Zhou Wang
2012	J	`jnl`	Image Deblurring Using Derivative Compressed Sensing for Optical Imaging Application. IEEE Trans. Image Process. Mohammad Rostami, Oleg V. Michailovich, Zhou Wang
2012	B	`conf`	Objective quality assessment for image super-resolution: A natural scene statistics approach. ICIP Hojatollah Yeganeh, Mohammad Rostami, Zhou Wang
2012	J	`jnl`	SSIM-inspired image restoration using sparse representation. EURASIP J. Adv. Signal Process. Abdul Rehman, Mohammad Rostami, Zhou Wang, Dominique Brunet, Edward R. Vrscay
2011	J	`jnl`	Image Deblurring Using Derivative Compressed Sensing for Optical Imaging Application CoRR Mohammad Rostami, Oleg V. Michailovich, Zhou Wang
2011	B	`conf`	Parameter selection for smoothing splines using Stein's Unbiased Risk Estimator. IJCNN Sepideh Seifzadeh, Mohammad Rostami, Ali Ghodsi, Fakhreddine Karray
2011	J	`jnl`	Two-Way Writing on Dirty Paper. IEEE Commun. Lett. Reza Khosravi-Farsani, Mohammad Rostami
2010	B	`conf`	Evidence-based mixture of MLP-experts. IJCNN Saeed Masoudnia, Mohammad Rostami, Mahdi Tabassian, Atena Sajedin, Reza Ebrahimpour