| 2026 | ACL | Beyond Code Pairs: Dialogue-Based Data Generation for LLM Code Translation. | Le Chen, Nuo Xu, Winson Chen, Bin Lei, Pei-Hung Lin, Dunzhi Zhou, Rajeev Thakur, Caiwen Ding, Ali Jannesari, Chunhua Liao |
| 2026 | CCGRID | Dual-Distilled Heterogeneous Federated Learning with Adaptive Margins for Trainable Global Prototypes. | Fatema Siddika, Md. Anwar Hossen, Wensheng Zhang, Anuj Sharma, J. Pablo Muoz, Ali Jannesari |
| 2026 | EACL | FedReFT: Federated Representation Fine-Tuning with All-But-Me Aggregation. | Fatema Siddika, Md. Anwar Hossen, Juan Pablo Muoz, Tanya G. Roosta, Anuj Sharma, Ali Jannesari |
| 2026 | EuroPar | SuperSFL: Resource-Heterogeneous Federated Split Learning with Weight-Sharing Supernet. | Abdullah Al Asif, Sixing Yu, Juan Pablo Muoz, Arya Mazaheri, Ali Jannesari |
| 2026 | HPDC | Resource-Aware Online Tuning for Heterogeneous Federated Learning. | Abdullah Al Asif, Fan Zhou, J. Pablo Munoz, Ali Jannesari |
| 2026 | HPDC | A Lock-Free Work-Stealing Algorithm for Bulk Operations. | Raja Sai Nandhan Yadav Kataru, Danial Davarnia, Ali Jannesari |
| 2026 | ICS | Rudder: Steering Prefetching in Distributed GNN Training using LLM Agents. | Aishwarya Sarkar, Sayan Ghosh, Nathan R. Tallent, Aman Chadha, Tanya G. Roosta, Ali Jannesari |
| 2026 | PPoPP | Dynamic Detection of Inefficient Data Mapping Patterns in Heterogeneous OpenMP Applications. | Luke Marzen, Junhyung Shim, Ali Jannesari |
| 2025 | CCGRID | Federated Multimodal Learning with Dual Adapters and Selective Pruning for Communication and Computational Efficiency. | Duy Phuong Nguyen, J. Pablo Muoz, Tanya G. Roosta, Ali Jannesari |
| 2025 | CVPR | Maximizing aerial detection of organic objects in non-exhaustively searchable survey area. | Amir Ehsan Niaraki Asli, Jansel Herrera-Gerena, Jeremy Roghair, Ali Jannesari |
| 2025 | HPDC | Weight-Sharing NAS with Architecture-Agnostic Intermediate Representation. | Sixing Yu, Arya Mazaheri, Ali Jannesari |
| 2025 | ICPP | HHOTuner: Efficient Performance Tuning with Harris Hawks Optimization. | Akash Dutta, Ali Jannesari |
| 2025 | ICS | ConTraPh: Contrastive Learning for Parallelization and Performance Optimization. | Quazi Ishtiaque Mahmud, Ali TehraniJamsaz, Nesreen K. Ahmed, Theodore L. Willke, Ali Jannesari |
| 2025 | NAACL | AutoParLLM: GNN-guided Context Generation for Zero-Shot Code Parallelization using LLMs. | Quazi Ishtiaque Mahmud, Ali TehraniJamsaz, Hung D. Phan, Le Chen, Mihai Capota, Theodore L. Willke, Nesreen K. Ahmed, Ali Jannesari |
| 2025 | SC | Differential Testing for Sequential to Parallel Transformations. | Jobayer Ahmmed, Quazi Ishtiaque Mahmud, Junhyung Shim, Liyi Li, Ali Jannesari, Myra B. Cohen |
| 2024 | CLUSTER | MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed Graphs. | Aishwarya Sarkar, Sayan Ghosh, Nathan R. Tallent, Ali Jannesari |
| 2024 | COLING | Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models. | Sixing Yu, Juan Pablo Muoz, Ali Jannesari |
| 2024 | EASE | Leveraging Statistical Machine Translation for Code Search. | Hung Phan, Ali Jannesari |
| 2024 | EuroPar | Training a Transformer Model for OpenMP Pragma Generation. | Arijit Bhattacharjee, Ali Jannesari |
| 2024 | EuroPar | OMPGPT: A Generative Pre-trained Transformer Model for OpenMP. | Le Chen, Arijit Bhattacharjee, Nesreen K. Ahmed, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Ali Jannesari |
| 2024 | EuroPar | Efficient Code Region Characterization Through Automatic Performance Counters Reduction Using Machine Learning Techniques. | Suren Harutyunyan, Eduardo Csar, Anna Sikora, Jiri Filipovic, Akash Dutta, Ali Jannesari, Jordi Alcaraz |
| 2024 | EuroPar | Resource-Aware Heterogeneous Federated Learning with Specialized Local Models. | Sixing Yu, J. Pablo Muoz, Ali Jannesari |
| 2024 | ICLR | Discerning Self-supervised Learning and Weakly Supervised Learning. | Chandan Kumar, Ali Jannesari, Matthew J. Darr |
| 2024 | SC | PipeInfer: Accelerating LLM Inference using Asynchronous Pipelined Speculation. | Branden Butler, Sixing Yu, Arya Mazaheri, Ali Jannesari |
| 2024 | SC | Static Generation of Efficient OpenMP Offload Data Mappings. | Luke Marzen, Akash Dutta, Ali Jannesari |
| 2024 | RTSS | Work-In-Progress: Energy and Thermal-Aware Scheduling based on HMARL for OpenMP DAG Workloads. | Mohammad Pivezhandi, Aakriti Jain, Abusayeed Saifullah, Ali Jannesari |
| 2023 | CCGRID | Optimizing Decentralized Learning with Local Heterogeneity using Topology Morphing and Clustering. | Waqwoya Abebe, Ali Jannesari |
| 2023 | CCGRID | Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient. | Sixing Yu, Phuong Nguyen, Ali Anwar, Ali Jannesari |
| 2023 | CIKM | Evaluating and Optimizing the Effectiveness of Neural Machine Translation in Supporting Code Retrieval Models: A Study on the CAT Benchmark. | Hung Phan, Ali Jannesari |
| 2023 | HPDC | Performance Optimization using Multimodal Modeling and Heterogeneous GNN. | Akash Dutta, Jordi Alcaraz, Ali TehraniJamsaz, Eduardo Csar, Anna Sikora, Ali Jannesari |
| 2023 | ICLR | Discerning Self-Supervised Learning and Weakly Supervised Learning. | Chandan Kumar, Matthew J. Darr, Ali Jannesari |
| 2023 | ICLR | Integrating Information from Natural Language Parse Tree to Code Generation. | Hung Phan, Ali Jannesari |
| 2023 | SC | Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion. | Duy Phuong Nguyen, Sixing Yu, J. Pablo Muoz, Ali Jannesari |
| 2023 | SC | Addressing Stale Gradients in Scalable Federated Deep Reinforcement Learning. | Justin Stanley, Ali Jannesari |
| 2022 | ESEM | Heterogeneous Graph Neural Networks for Software Effort Estimation. | Hung Phan, Ali Jannesari |
| 2022 | EuroSys | Temporal shift reinforcement learning. | Deepak-George Thomas, Tichakorn Wongpiromsarn, Ali Jannesari |
| 2022 | ICML | Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning. | Sixing Yu, Arya Mazaheri, Ali Jannesari |
| 2022 | SC | Pattern-based Autotuning of OpenMP Loops using Graph Neural Networks. | Akash Dutta, Jordi Alcaraz, Ali TehraniJamsaz, Anna Sikora, Eduardo Csar, Ali Jannesari |
| 2022 | SC | SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Federated Learning. | Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Wei Qian, Ali Anwar, Ali Jannesari |
| 2021 | ICCV | Auto Graph Encoder-Decoder for Neural Network Pruning. | Sixing Yu, Arya Mazaheri, Ali Jannesari |
| 2021 | ICST | An Empirical Study of Parallelizing Test Execution Using CUDA Unified Memory and OpenMP GPU Offloading. | Taghreed Bagies, Ali Jannesari |
| 2021 | ICST | DeepRace: A learning-based data race detector. | Ali Tehrani Jamsaz, Mohammed Khaleel, Reza Akbari, Ali Jannesari |
| 2021 | PDCAT | A Learning-Based Scheduler for High Volume Processing in Data Warehouse Using Graph Neural Networks. | Vivek Bengre, M. Reza HoseinyFarahabady, Mohammad Pivezhandi, Albert Y. Zomaya, Ali Jannesari |
| 2021 | PDP | Building representative and balanced datasets of OpenMP parallel regions. | Jordi Alcaraz, Steven Sleder, Ali Tehrani Jamsaz, Anna Sikora, Ali Jannesari, Joan Sorribes, Eduardo Csar |
| 2020 | CCGRID | Q-Flink: A QoS-Aware Controller for Apache Flink. | M. Reza Hoseinyfarahabady, Ali Jannesari, Javid Taheri, Wei Bao, Albert Y. Zomaya, Zahir Tari |
| 2020 | EuroPar | Skipping Non-essential Instructions Makes Data-Dependence Profiling Faster. | Nicolas Morew, Mohammad Norouzi Arab, Ali Jannesari, Felix Wolf |
| 2020 | EuroSys | Accelerating winograd convolutions using symbolic computation and meta-programming. | Arya Mazaheri, Tim Beringer, Matthew W. Moskewicz, Felix Wolf, Ali Jannesari |
| 2020 | IRI | Multi-Class Cardiovascular Diseases Diagnosis from Electrocardiogram Signals using 1-D Convolution Neural Network. | Mehdi Fasihi, Mohammad H. Nadimi-Shahraki, Ali Jannesari |
| 2019 | EuroPar | Accelerating Data-Dependence Profiling with Static Hints. | Mohammad Norouzi Arab, Qamar Ilias, Ali Jannesari, Felix Wolf |
| 2019 | EuroPar | Enhancing the Programmability and Performance Portability of GPU Tensor Operations. | Arya Mazaheri, Johannes Schulte, Matthew W. Moskewicz, Felix Wolf, Ali Jannesari |
| 2019 | ICS | Automatic construct selection and variable classification in OpenMP. | Mohammad Norouzi Arab, Felix Wolf, Ali Jannesari |
| 2019 | NCA | Dynamic Control of CPU Cap Allocations in Stream Processing and Data-Flow Platforms. | M. Reza HoseinyFarahabady, Ali Jannesari, Zahir Tari, Javid Taheri, Albert Y. Zomaya |
| 2019 | PDCAT | Real-Time Stream Data Processing at Scale. | M. Reza Hoseinyfarahabady, Ali Jannesari, Wei Bao, Zahir Tari, Albert Y. Zomaya |
| 2018 | ICPP | Unveiling Thread Communication Bottlenecks Using Hardware-Independent Metrics. | Arya Mazaheri, Felix Wolf, Ali Jannesari |
| 2017 | ICSE | Parallelizing Audio Analysis Applications - A Case Study. | Ali Jannesari, Zia Ul Huda, Rohit Atre, Zhen Li, Felix Wolf |
| 2017 | SPAA | Brief Announcement: Meeting the Challenges of Parallelizing Sequential Programs. | Rohit Atre, Ali Jannesari, Felix Wolf |
| 2016 | PDP | Improving Performance of Transactional Applications through Adaptive Transactional Memory. | Thireshan Jeyakumaran, Ehsan Atoofian, Yang Xiao, Zhen Li, Ali Jannesari |
| 2015 | CGO | The Basic Building Blocks of Parallel Tasks. | Rohit Atre, Ali Jannesari, Felix Wolf |
| 2015 | CGO | Dependence-Based Code Transformation for Coarse-Grained Parallelism. | Bo Zhao, Zhen Li, Ali Jannesari, Felix Wolf, Weiguo Wu |
| 2015 | ICA3PP | Fast Data-Dependence Profiling by Skipping Repeatedly Executed Memory Operations. | Zhen Li, Michael Beaumont, Ali Jannesari, Felix Wolf |
| 2015 | ICA3PP | Beyond Data Parallelism: Identifying Parallel Tasks in Sequential Programs. | Zhen Li, Bo Zhao, Ali Jannesari, Felix Wolf |
| 2015 | ICA3PP | Automatic Optimization of Software Transactional Memory Through Linear Regression and Decision Tree. | Yang Xiao, Zhen Li, Ehsan Atoofian, Ali Jannesari |
| 2015 | ICPP | Characterizing Loop-Level Communication Patterns in Shared Memory. | Arya Mazaheri, Ali Jannesari, Abdolreza Mirzaei, Felix Wolf |
| 2015 | ICSE | Combining Unit Tests for Data Race Detection. | Jochen Schimmel, Korbinian Molitorisz, Ali Jannesari, Walter F. Tichy |
| 2015 | OOPSLA | Workshop Preview of the 2nd International Workshop on Software for Parallel Systems (SEPS 2015). | Ali Jannesari, Siegfried Benkner, Xinghui Zhao, Ehsan Atoofian, Yukinori Sato |
| 2014 | OOPSLA | SEPS 2014: first international workshop on software engineering for parallel systems. | Ali Jannesari, Felix Wolf, Walter F. Tichy |
| 2014 | TAP | Generating Classified Parallel Unit Tests. | Ali Jannesari, Nico Koprowski, Jochen Schimmel, Felix Wolf |
| 2013 | ICMLA | Predicting Parallelization of Sequential Programs Using Supervised Learning. | Daniel Fried, Zhen Li, Ali Jannesari, Felix Wolf |
| 2013 | ICPADS | Detecting Correlation Violations and Data Races by Inferring Non-deterministic Reads. | Ali Jannesari, Nico Koprowski, Jochen Schimmel, Felix Wolf, Walter F. Tichy |
| 2013 | ICPP | Discovery of Potential Parallelism in Sequential Programs. | Zhen Li, Ali Jannesari, Felix Wolf |
| 2013 | ICSE | Automatic generation of parallel unit tests. | Jochen Schimmel, Korbinian Molitorisz, Ali Jannesari, Walter F. Tichy |
| 2011 | ICA3PP | Dynamic Data Race Detection for Correlated Variables. | Ali Jannesari, Markus Westphal-Furuya, Walter F. Tichy |
| 2008 | ICSE | Software engineering for multicore systems: an experience report. | Victor Pankratius, Christoph A. Schaefer, Ali Jannesari, Walter F. Tichy |
| 2008 | ISSTA | On-the-fly race detection in multi-threaded programs. | Ali Jannesari, Walter F. Tichy |