gradienTv: Market-Based P2P Live Media Streaming on the Gradient Overlay. - Amir Hossein Payberah; Jim Dowling; Fatemeh Rahimian; Seif Haridi (DAIS, 2010)

Sepidar: Incentivized Market-Based P2P Live-Streaming on the Gradient Overlay Network. - Amir Hossein Payberah; Fatemeh Rahimian; Seif Haridi; Jim Dowling (ISM, 2010)

Converging an overlay network to a Gradient topology. - Håkan Terelius; Guodong Shi; Jim Dowling; Amir Hossein Payberah; Ather Gattami; Karl Henrik Johansson (CDC/ECC, 2011)

Gozar: NAT-Friendly Peer Sampling with One-Hop Distributed NAT Traversal. - Amir Hossein Payberah; Jim Dowling; Seif Haridi (DAIS, 2011)

Vitis: A Gossip-based Hybrid Overlay for Internet-scale Publish/Subscribe Enabling Rendezvous Routing in Unstructured Overlay Networks. - Fatemeh Rahimian; Sarunas Girdzijauskas; Amir Hossein Payberah; Seif Haridi (IPDPS, 2011)

GLive: The Gradient Overlay as a Market Maker for Mesh-Based P2P Live Streaming. - Amir Hossein Payberah; Jim Dowling; Seif Haridi (ISPDC, 2011)

Shuffling with a Croupier: Nat-Aware Peer-Sampling. - Jim Dowling; Amir Hossein Payberah (ICDCS, 2012)

CLive: Cloud-assisted P2P live streaming. - Amir Hossein Payberah; Hanna Kavalionak; Vimalkumar Kumaresan; Alberto Montresor; Seif Haridi (P2P, 2012)

Distributed optimization of P2P live streaming overlays. - Amir Hossein Payberah; Jim Dowling; Fatemeh Rahimian; Seif Haridi (Computing, 2012)

Supporting cloud deployment in the Guifi.net community network. - Javi Jimenez; Roger Baig; Pau Escrich Garcia; Amin M. Khan; Felix Freitag; Leandro Navarro 001; Ermanno Pietrosemoli; Marco Zennaro; Amir Hossein Payberah; Vladimir Vlassov (GIIS, 2013)

Lightweight gossip-based distribution estimation. - Amir Hossein Payberah; Hanna Kavalionak; Alberto Montresor; Jim Dowling; Seif Haridi (ICC, 2013)

JA-BE-JA: A Distributed Algorithm for Balanced Graph Partitioning. - Fatemeh Rahimian; Amir Hossein Payberah; Sarunas Girdzijauskas; Márk Jelasity; Seif Haridi (SASO, 2013)

Live Streaming in P2P and Hybrid P2P-Cloud Environments for the Open Internet. - Amir Hossein Payberah (2013)

Distributed Vertex-Cut Partitioning. - Fatemeh Rahimian; Amir Hossein Payberah; Sarunas Girdzijauskas; Seif Haridi (DAIS, 2014)

A Distributed Algorithm for Large-Scale Graph Partitioning. - Fatemeh Rahimian; Amir Hossein Payberah; Sarunas Girdzijauskas; Márk Jelasity; Seif Haridi (ACM Trans. Auton. Adapt. Syst., 2015)

Boosting Vertex-Cut Partitioning for Streaming Graphs. - Hooman Peiro Sajjad; Amir Hossein Payberah; Fatemeh Rahimian; Vladimir Vlassov; Seif Haridi (BigData Congress, 2016)

NATCloud: cloud-assisted NAT-traversal service. - Hanna Kavalionak; Amir Hossein Payberah; Alberto Montresor; Jim Dowling (SAC, 2016)

An adaptive algorithm for anomaly and novelty detection in evolving data streams. - Mohamed-Rafik Bouguelia; Slawomir Nowaczyk; Amir Hossein Payberah (Data Min. Knowl. Discov., 2018)

Use All Your Skills, Not Only The Most Popular Ones. - Francesco Lorenzo; Sahar Asadi; Alice Karnsund; Lele Cao; Tianze Wang; Amir Hossein Payberah (CoG, 2020)

Maggy: Scalable Asynchronous Parallel Hyperparameter Search. - Moritz Meister; Sina Sheikholeslami; Amir Hossein Payberah; Vladimir Vlassov; Jim Dowling (DistributedML@CoNEXT, 2020)

MarioDAgger: A Time and Space Efficient Autonomous Driver. - Farzad Kamrani; Andreas Elers; Mika Cohen; Amir Hossein Payberah (ICMLA, 2020)

CONVJSSP: Convolutional Learning for Job-Shop Scheduling Problems. - Tianze Wang; Amir Hossein Payberah; Vladimir Vlassov (ICMLA, 2020)

Framework-Agnostic Optimization of Repeated Skewed Joins at Massive Scale. - Andrea Nardelli; Vladimir Vlassov; Amir Hossein Payberah (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Graph Representation Matters in Device Placement. - Milko Mitropolitsky; Zainab Abbas; Amir Hossein Payberah (DIDL@Middleware, 2020)

Deep learning for electronic health records: A comparative review of multiple deep neural architectures. - José Roberto Ayala Solares; Francesca Elisa Diletta Raimondi; Yajie Zhu; Fatemeh Rahimian; Dexter Canoy; Jenny Tran; Ana Catarina Pinho Gomes; Amir Hossein Payberah; Mariagrazia Zottoli; Milad Nazarzadeh; Nathalie Conrad; Kazem Rahimi; et al. (J. Biomed. Informatics, 2020)

IMITA: Imitation Learning for Generalizing Cloud Orchestration. - Kamal Hakimzadeh; Patrick K. Nicholson; Diego Lugones; Amir Hossein Payberah (CCGRID, 2021)

Siamese Neural Networks for Detecting Complementary Products. - Marina Angelovska; Sina Sheikholeslami; Bas Dunn; Amir Hossein Payberah (EACL (Student Research Workshop), 2021)

AutoAblation: Automated Parallel Ablation Studies for Deep Learning. - Sina Sheikholeslami; Moritz Meister; Tianze Wang; Amir Hossein Payberah; Vladimir Vlassov; Jim Dowling (EuroMLSys@EuroSys, 2021)

COCLUBERT: Clustering Machine Learning Source Code. - Marcus Hägglund; Francisco J. Peña; Sepideh Pashami; Ahmad Al-Shishtawy; Amir Hossein Payberah (ICMLA, 2021)

Locality-Aware Workflow Orchestration for Big Data. - Andrei-Alin Corodescu; Nikolay Nikolov; Akif Quddus Khan; Ahmet Soylu; Mihhail Matskin; Amir Hossein Payberah; Dumitru Roman (MEDES, 2021)

Cross-Domain Transfer of Generative Explanations Using Text-to-Text Models. - Karl Fredrik Erliksson; Anders Arpteg; Mihhail Matskin; Amir Hossein Payberah (NLDB, 2021)

A Survey of Big Data Pipeline Orchestration Tools from the Perspective of the DataCloud Project. - Mihhail Matskin; Shirin Tahmasebi; Amirhossein Layegh; Amir Hossein Payberah; Aleena Thomas; Nikolay Nikolov; Dumitru Roman (DAMDID/RCDL (Supplementary Proceedings), 2021)

Conceptualization and scalable execution of big data workflows using domain-specific languages and software containers. - Nikolay Nikolov; Yared Dejene Dessalk; Akif Quddus Khan; Ahmet Soylu; Mihhail Matskin; Amir Hossein Payberah; Dumitru Roman (Internet Things, 2021)

Big Data Workflows: Locality-Aware Orchestration Using Software Containers. - Andrei-Alin Corodescu; Nikolay Nikolov; Akif Quddus Khan; Ahmet Soylu; Mihhail Matskin; Amir Hossein Payberah; Dumitru Roman (Sensors, 2021)

BERTicsson: A Recommender System For Troubleshooting. - Nuria Marzo I Grimalt; Serveh Shalmashi; Forough Yaghoubi; Leif Jonsson; Amir Hossein Payberah (SDU@AAAI, 2022)

Fine-Tuning BERT-based Language Models for Duplicate Trouble Report Retrieval. - Nathan Bosch; Serveh Shalmashi; Forough Yaghoubi; Henrik Holm; Fitsum Gaim; Amir Hossein Payberah (IEEE Big Data, 2022)

Node Context Selection in Transformer-Based Graph Representation Learning Models. - Tianze Wang; Amir Hossein Payberah; Vladimir Vlassov (IEEE Big Data, 2022)

Dataclouddsl: Textual and Visual Presentation of Big Data Pipelines. - Shirin Tahmasebi; Amirhossein Layegh; Nikolay Nikolov; Amir Hossein Payberah; Khoa Dinh; Vlado Mitrovic; Dumitru Roman; Mihhail Matskin (COMPSAC, 2022)

Accelerate Model Parallel Deep Learning Training Using Effective Graph Traversal Order in Device Placement. - Tianze Wang; Amir Hossein Payberah; Desta Haileselassie Hagos; Vladimir Vlassov (DAIS, 2022)

IL-GAN: Rare Sample Generation via Incremental Learning in GANs. - Jón R. Baldvinsson; Milad Ganjalizadeh; Abdulrahman Alabbasi; Mårten Björkman; Amir Hossein Payberah (GLOBECOM, 2022)

CandyRL: A Hybrid Reinforcement Learning Model for Gameplay. - Sara Karimi; Sahar Asadi; Francesco Lorenzo; Amir Hossein Payberah (ICMLA, 2022)

TranSQL: A Transformer-based Model for Classifying SQL Queries. - Shirin Tahmasebi; Amir Hossein Payberah; Ahmet Soylu; Dumitru Roman; Mihhail Matskin (ICMLA, 2022)

Siambert: Siamese Bert-based Code Search. - Francisco J. Peña; Angel Luis Gonzalez; Sepideh Pashami; Ahmad Al-Shishtawy; Amir Hossein Payberah (SAIS, 2022)

Accelerate Model Parallel Training by Using Efficient Graph Traversal Order in Device Placement. - Tianze Wang; Amir Hossein Payberah; Desta Haileselassie Hagos; Vladimir Vlassov (CoRR, 2022)

Scalable Artificial Intelligence for Earth Observation Data Using Hopsworks. - Desta Haileselassie Hagos; Theofilos Kakantousis; Sina Sheikholeslami; Tianze Wang; Vladimir Vlassov; Amir Hossein Payberah; Moritz Meister; Robin Andersson; Jim Dowling (Remote. Sens., 2022)

TRANSQLATION: TRANsformer-based SQL RecommendATION. - Shirin Tahmasebi; Amir Hossein Payberah; Ahmet Soylu; Dumitru Roman; Mihhail Matskin (IEEE Big Data, 2023)

ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER. - Amirhossein Layegh; Amir Hossein Payberah; Ahmet Soylu; Dumitru Roman; Mihhail Matskin (COMPSAC, 2023)

The Impact of Importance-Aware Dataset Partitioning on Data-Parallel Training of Deep Neural Networks. - Sina Sheikholeslami; Amir Hossein Payberah; Tianze Wang; Jim Dowling; Vladimir Vlassov (DAIS, 2023)

Using Machine Learning to Recommend Personalized Modular Treatments for Common Mental Health Disorders. - Fabian Schmidt; Karin Hammerfald; Henrik Haaland Jahren; Ole André Solbakken; Amir Hossein Payberah; Vladimir Vlassov (ICDH, 2023)

Graph Representation Learning with Graph Transformers in Neural Combinatorial Optimization. - Tianze Wang; Amir Hossein Payberah; Vladimir Vlassov (ICMLA, 2023)

DeepAqua: Self-Supervised Semantic Segmentation of Wetlands from SAR Images using Knowledge Distillation. - Francisco J. Peña; Clara Hübinger; Amir Hossein Payberah; Fernando Jaramillo (CoRR, 2023)

SCORE: Skill-Conditioned Online Reinforcement Learning. - Sara Karimi; Sahar Asadi; Amir Hossein Payberah (AIIDE, 2024)

Single-pass Hierarchical Text Classification with Large Language Models. - Fabian Schmidt; Karin Hammerfald; Henrik Haaland Jahren; Amir Hossein Payberah; Vladimir Vlassov (IEEE Big Data, 2024)

FogFLeeT: Fog-Level Federated Transfer Learning for Adaptive Transport Mode Detection. - Mahdieh Kamalian; Amir Taherkordi; Amir H. Payberah; Paulo Ferreira 001 (IC2E, 2024)

REA: Refine-Estimate-Answer Prompting for Zero-Shot Relation Extraction. - Amirhossein Layegh; Amir Hossein Payberah; Mihhail Matskin (NLDB (1), 2024)

Wiki-based Prompts for Enhancing Relation Extraction using Language Models. - Amirhossein Layegh; Amir Hossein Payberah; Ahmet Soylu; Dumitru Roman; Mihhail Matskin (SAC, 2024)

DeepAqua: Semantic segmentation of wetland water surfaces with SAR imagery using deep neural networks without manually annotated data. - Francisco J. Peña; Clara Hübinger; Amir Hossein Payberah; Fernando Jaramillo (Int. J. Appl. Earth Obs. Geoinformation, 2024)

BaziGooshi: A Hybrid Model of Reinforcement Learning for Generalization in Gameplay. - Sara Karimi; Sahar Asadi; Amir Hossein Payberah (IEEE Trans. Games, 2024)

Fact vs. Fiction: Are the Reportedly "Magical" LLM-Based Recommenders Reproducible? - Shirin Tahmasebi; Narjes Nikzad; Amir Hossein Payberah; Meysam Asgari-Chenaghlu; Mihhail Matskin (ECIR (4), 2025)

Utilizing Large Language Models for Ablation Studies in Machine Learning and Deep Learning. - Sina Sheikholeslami; Hamid Ghasemirahni; Amir Hossein Payberah; Tianze Wang; Jim Dowling; Vladimir Vlassov (EuroMLSys, 2025)

Using Satellite Images And Self-supervised Machine Learning Networks To Detect Water Hidden Under Vegetation. - Ioannis Iakovidis; Zahra Kalantari; Amir Hossein Payberah; Fernando Jaramillo; Francisco Pena Escobar (CoRR, 2025)

Who Gets the Mic? Investigating Gender Bias in the Speaker Assignment of a Speech-LLM. - Dariia Puhach; Amir H. Payberah; Éva Székely (CoRR, 2025)