Software engineering for multicore systems: an experience report. - Victor Pankratius; Christoph A. Schaefer; Ali Jannesari; Walter F. Tichy (IWMSE@ICSE, 2008)

On-the-fly race detection in multi-threaded programs. - Ali Jannesari; Walter F. Tichy (PADTAD, 2008)

Helgrind+: An efficient dynamic race detector. - Ali Jannesari; Kaibin Bao; Victor Pankratius; Walter F. Tichy (IPDPS, 2009)

Parallelizing Bzip2: A Case Study in Multicore Software Engineering. - Victor Pankratius; Ali Jannesari; Walter F. Tichy (IEEE Softw., 2009)

Identifying ad-hoc synchronization for enhanced race detection. - Ali Jannesari; Walter F. Tichy (IPDPS, 2010)

Dynamic race detection in parallel programs. - Ali Jannesari Ladani (2010)

Dynamic Data Race Detection for Correlated Variables. - Ali Jannesari; Markus Westphal-Furuya; Walter F. Tichy (ICA3PP (1), 2011)

Predicting Parallelization of Sequential Programs Using Supervised Learning. - Daniel Fried; Zhen Li 005; Ali Jannesari; Felix Wolf 001 (ICMLA (2), 2013)

Detecting Correlation Violations and Data Races by Inferring Non-deterministic Reads. - Ali Jannesari; Nico Koprowski; Jochen Schimmel; Felix Wolf 001; Walter F. Tichy (ICPADS, 2013)

Discovery of Potential Parallelism in Sequential Programs. - Zhen Li 005; Ali Jannesari; Felix Wolf 001 (ICPP, 2013)

Automatic generation of parallel unit tests. - Jochen Schimmel; Korbinian Molitorisz; Ali Jannesari; Walter F. Tichy (AST, 2013)

SEPS 2014: first international workshop on software engineering for parallel systems. - Ali Jannesari; Felix Wolf 001; Walter F. Tichy (SPLASH (Companion Volume), 2014)

Generating Classified Parallel Unit Tests. - Ali Jannesari; Nico Koprowski; Jochen Schimmel; Felix Wolf 001 (TAP@STAF, 2014)

Using Template Matching to Infer Parallel Design Patterns. - Zia Ul Huda; Ali Jannesari; Felix Wolf 001 (ACM Trans. Archit. Code Optim., 2014)

Library-Independent Data Race Detection. - Ali Jannesari; Walter F. Tichy (IEEE Trans. Parallel Distributed Syst., 2014)

The Basic Building Blocks of Parallel Tasks. - Rohit Atre; Ali Jannesari; Felix Wolf 001 (COSMIC@CGO, 2015)

Dependence-Based Code Transformation for Coarse-Grained Parallelism. - Bo Zhao 019; Zhen Li 005; Ali Jannesari; Felix Wolf 001; Weiguo Wu (COSMIC@CGO, 2015)

Fast Data-Dependence Profiling by Skipping Repeatedly Executed Memory Operations. - Zhen Li 005; Michael Beaumont; Ali Jannesari; Felix Wolf 001 (ICA3PP (4), 2015)

Beyond Data Parallelism: Identifying Parallel Tasks in Sequential Programs. - Zhen Li 005; Bo Zhao 019; Ali Jannesari; Felix Wolf 001 (ICA3PP (4), 2015)

Automatic Optimization of Software Transactional Memory Through Linear Regression and Decision Tree. - Yang Xiao 001; Zhen Li 005; Ehsan Atoofian; Ali Jannesari (ICA3PP (4), 2015)

Characterizing Loop-Level Communication Patterns in Shared Memory. - Arya Mazaheri; Ali Jannesari; Abdolreza Mirzaei; Felix Wolf 001 (ICPP, 2015)

Combining Unit Tests for Data Race Detection. - Jochen Schimmel; Korbinian Molitorisz; Ali Jannesari; Walter F. Tichy (AST@ICSE, 2015)

An Efficient Data-Dependence Profiler for Sequential and Parallel Programs. - Zhen Li 005; Ali Jannesari; Felix Wolf 001 (IPDPS, 2015)

Workshop Preview of the 2nd International Workshop on Software for Parallel Systems (SEPS 2015). - Ali Jannesari; Siegfried Benkner; Xinghui Zhao; Ehsan Atoofian; Yukinori Sato (SPLASH (Companion Volume), 2015)

Detection of High-Level Synchronization Anomalies in Parallel Programs. - Ali Jannesari (Int. J. Parallel Program., 2015)

Resource and application-aware resource discovery in computing environments. - Mohammad Norouzi Arab; Ali Jannesari (J. Supercomput., 2015)

Automatic Parallel Pattern Detection in the Algorithm Structure Design Space. - Zia Ul Huda; Rohit Atre; Ali Jannesari; Felix Wolf 001 (IPDPS, 2016)

Improving Performance of Transactional Applications through Adaptive Transactional Memory. - Thireshan Jeyakumaran; Ehsan Atoofian; Yang Xiao 001; Zhen Li 005; Ali Jannesari (PDP, 2016)

A Metaprogramming and Autotuning Framework for Deploying Deep Learning Applications. - Matthew W. Moskewicz; Ali Jannesari; Kurt Keutzer (CoRR, 2016)

Automatic Generation of Unit Tests for Correlated Variables in Parallel Programs. - Ali Jannesari; Felix Wolf 001 (Int. J. Parallel Program., 2016)

Unveiling parallelization opportunities in sequential programs. - Zhen Li 005; Rohit Atre; Zia Ul Huda; Ali Jannesari; Felix Wolf 001 (J. Syst. Softw., 2016)

Boda: A Holistic Approach for Implementing Neural Network Computations. - Matthew W. Moskewicz; Ali Jannesari; Kurt Keutzer (Conf. Computing Frontiers, 2017)

Parallelizing Audio Analysis Applications - A Case Study. - Ali Jannesari; Zia Ul Huda; Rohit Atre; Zhen Li 005; Felix Wolf 001 (ICSE-SEET, 2017)

Brief Announcement: Meeting the Challenges of Parallelizing Sequential Programs. - Rohit Atre; Ali Jannesari; Felix Wolf 001 (SPAA, 2017)

Editorial of special issue on Software Engineering for Parallel Systems. - Ali Jannesari; Felix Wolf 001; Walter F. Tichy (J. Syst. Softw., 2017)

Unveiling Thread Communication Bottlenecks Using Hardware-Independent Metrics. - Arya Mazaheri; Felix Wolf 001; Ali Jannesari (ICPP, 2018)

Improving performance of transactional memory through machine learning. - Yang Xiao 001; Thireshan Jeyakumaran; Ehsan Atoofian; Ali Jannesari (Concurr. Comput. Pract. Exp., 2018)

Accelerating Data-Dependence Profiling with Static Hints. - Mohammad Norouzi Arab; Qamar Ilias; Ali Jannesari; Felix Wolf 001 (Euro-Par, 2019)

Enhancing the Programmability and Performance Portability of GPU Tensor Operations. - Arya Mazaheri; Johannes Schulte; Matthew W. Moskewicz; Felix Wolf 001; Ali Jannesari (Euro-Par, 2019)

Automatic construct selection and variable classification in OpenMP. - Mohammad Norouzi Arab; Felix Wolf 001; Ali Jannesari (ICS, 2019)

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 (NCA, 2019)

Real-Time Stream Data Processing at Scale. - M. Reza Hoseinyfarahabady; Ali Jannesari; Wei Bao 001; Zahir Tari; Albert Y. Zomaya (PDCAT, 2019)

Dissecting sequential programs for parallelization - An approach based on computational units. - Rohit Atre; Zia Ul Huda; Felix Wolf 001; Ali Jannesari (Concurr. Comput. Pract. Exp., 2019)

Efficient Object Detection Model for Real-Time UAV Applications. - Subrahmanyam Vaddi; Chandan Kumar 004; Ali Jannesari (CoRR, 2019)

Automatic Repair and Type Binding of Undeclared Variables using Neural Networks. - Venkatesh Theru Mohan; Ali Jannesari (CoRR, 2019)

DeepRace: Finding Data Race Bugs via Deep Learning. - Ali Tehrani Jamsaz; Mohammed Khaleel; Reza Akbari; Ali Jannesari (CoRR, 2019)

A Simulation of UAV Power Optimization via Reinforcement Learning. - Amir Ehsan Niaraki Asli; Ali Jannesari (CoRR, 2019)

The Art of Getting Deep Neural Networks in Shape. - Rahim Mammadli; Felix Wolf 001; Ali Jannesari (ACM Trans. Archit. Code Optim., 2019)

Q-Flink: A QoS-Aware Controller for Apache Flink. - M. Reza Hoseinyfarahabady; Ali Jannesari; Javid Taheri; Wei Bao 001; Albert Y. Zomaya; Zahir Tari (CCGRID, 2020)

Skipping Non-essential Instructions Makes Data-Dependence Profiling Faster. - Nicolas Morew; Mohammad Norouzi Arab; Ali Jannesari; Felix Wolf 001 (Euro-Par, 2020)

Accelerating winograd convolutions using symbolic computation and meta-programming. - Arya Mazaheri; Tim Beringer; Matthew W. Moskewicz; Felix Wolf 001; Ali Jannesari (EuroSys, 2020)

Multi-Class Cardiovascular Diseases Diagnosis from Electrocardiogram Signals using 1-D Convolution Neural Network. - Mehdi Fasihi; Mohammad H. Nadimi-Shahraki; Ali Jannesari (IRI, 2020)

Static Neural Compiler Optimization via Deep Reinforcement Learning. - Rahim Mammadli; Ali Jannesari; Felix Wolf 001 (CoRR, 2020)

HydroDeep - A Knowledge Guided Deep Neural Network for Geo-Spatiotemporal Data Analysis. - Aishwarya Sarkar; Jien Zhang; Chaoqun Lu; Ali Jannesari (CoRR, 2020)

Auto Graph Encoder-Decoder for Model Compression and Network Acceleration. - Sixing Yu; Arya Mazaheri; Ali Jannesari (CoRR, 2020)

Auto Graph Encoder-Decoder for Neural Network Pruning. - Sixing Yu; Arya Mazaheri; Ali Jannesari (ICCV, 2021)

An Empirical Study of Parallelizing Test Execution Using CUDA Unified Memory and OpenMP GPU Offloading. - Taghreed Bagies; Ali Jannesari (ICST Workshops, 2021)

DeepRace: A learning-based data race detector. - Ali Tehrani Jamsaz; Mohammed Khaleel; Reza Akbari; Ali Jannesari (ICST Workshops, 2021)

A Vision Based Deep Reinforcement Learning Algorithm for UAV Obstacle Avoidance. - Jeremy Roghair; Amir Ehsan Niaraki Asli; Kyungtae Ko; Ali Jannesari (IntelliSys (1), 2021)

Generating Context-Aware API Calls from Natural Language Description Using Neural Embeddings and Machine Translation. - Hung Phan; Arushi Sharma; Ali Jannesari (ASE Workshops, 2021)

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 (PDCAT, 2021)

Building representative and balanced datasets of OpenMP parallel regions. - Jordi Alcaraz; Steven Sleder; Ali Tehrani Jamsaz; Anna Sikora; Ali Jannesari; Joan Sorribes; Eduardo César (PDP, 2021)

GNN-RL Compression: Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning. - Sixing Yu; Arya Mazaheri; Ali Jannesari (CoRR, 2021)

Interpretable UAV Collision Avoidance using Deep Reinforcement Learning. - Deepak-George Thomas; Daniil Olshanskyi; Karter Krueger; Ali Jannesari (CoRR, 2021)

Adaptive Dynamic Pruning for Non-IID Federated Learning. - Sixing Yu; Phuong Nguyen; Ali Anwar 001; Ali Jannesari (CoRR, 2021)

Transfer Learning Approaches for Knowledge Discovery in Grid-based Geo-Spatiotemporal Data. - Aishwarya Sarkar; Jien Zhang; Chaoqun Lu; Ali Jannesari (CoRR, 2021)

SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning. - Sixing Yu; Phuong Nguyen; Waqwoya Abebe; Ali Anwar 001; Ali Jannesari (CoRR, 2021)

CLAWS: Contrastive Learning with hard Attention and Weak Supervision. - Jansel Herrera-Gerena; Ramakrishnan Sundareswaran; John Just; Matthew J. Darr; Ali Jannesari (CoRR, 2021)

A Shallow 1-D Convolution Neural Network for Fetal State Assessment Based on Cardiotocogram. - Mehdi Fasihi; Mohammad H. Nadimi-Shahraki; Ali Jannesari (SN Comput. Sci., 2021)

Reducing Energy in GPGPUs through Approximate Trivial Bypassing. - Ehsan Atoofian; Zayan Shaikh; Ali Jannesari (ACM Trans. Embed. Comput. Syst., 2021)

Heterogeneous Graph Neural Networks for Software Effort Estimation. - Hung Phan; Ali Jannesari (ESEM, 2022)

Temporal shift reinforcement learning. - Deepak-George Thomas; Tichakorn Wongpiromsarn; Ali Jannesari (EuroMLSys@EuroSys, 2022)

Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning. - Sixing Yu; Arya Mazaheri; Ali Jannesari (ICML, 2022)

Multi-View Learning for Parallelism Discovery of Sequential Programs. - Le Chen; Quazi Ishtiaque Mahmud; Ali Jannesari (IPDPS Workshops, 2022)

Scalable and Extensible Robinson-Foulds for Comparative Phylogenetics. - Alvin Chon; Pawel Górecki 001; Oliver Eulenstein; Xiaoqiu Huang 001; Ali Jannesari (IPDPS Workshops, 2022)

Efficient Volume Estimation for Dynamic Environments using Deep Learning on the Edge. - Chandan Kumar 004; Yamini Mathur; Ali Jannesari (IPDPS Workshops, 2022)

Learning Intermediate Representations using Graph Neural Networks for NUMA and Prefetchers Optimization. - Ali TehraniJamsaz; Mihail Popov; Akash Dutta; Emmanuelle Saillard; Ali Jannesari (IPDPS, 2022)

Story Point Level Classification by Text Level Graph Neural Network. - Hung Phan; Ali Jannesari (NLBSE, 2022)

Pattern-based Autotuning of OpenMP Loops using Graph Neural Networks. - Akash Dutta; Jordi Alcaraz; Ali TehraniJamsaz; Anna Sikora; Eduardo César; Ali Jannesari (AI4S, 2022)

SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Federated Learning. - Sixing Yu; Phuong Nguyen; Waqwoya Abebe; Wei Qian; Ali Anwar 001; Ali Jannesari (SC, 2022)

Story Point Effort Estimation by Text Level Graph Neural Network. - Hung Phan; Ali Jannesari (CoRR, 2022)

Resource-aware Federated Learning using Knowledge Extraction and Multi-model Fusion. - Sixing Yu; Wei Qian; Ali Jannesari (CoRR, 2022)

Resource-Aware Heterogeneous Federated Learning using Neural Architecture Search. - Sixing Yu; Phuong Nguyen; Waqwoya Abebe; Justin Stanley; J. Pablo Muñoz; Ali Jannesari (CoRR, 2022)

Towards Seamless Management of AI Models in High-Performance Computing. - Sixing Yu; Murali Emani; Chunhua Liao; Pei-Hung Lin; Tristan Vanderbruggen; Xipeng Shen; Ali Jannesari (CoRR, 2022)

Addressing Data Heterogeneity in Decentralized Learning via Topological Pre-processing. - Waqwoya Abebe; Ali Jannesari (CoRR, 2022)

Optimizing Decentralized Learning with Local Heterogeneity using Topology Morphing and Clustering. - Waqwoya Abebe; Ali Jannesari (CCGrid, 2023)

Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient. - Sixing Yu; Phuong Nguyen; Ali Anwar 001; Ali Jannesari (CCGrid, 2023)

Evaluating and Optimizing the Effectiveness of Neural Machine Translation in Supporting Code Retrieval Models: A Study on the CAT Benchmark. - Hung Phan; Ali Jannesari (CIKM, 2023)

Performance Optimization using Multimodal Modeling and Heterogeneous GNN. - Akash Dutta; Jordi Alcaraz; Ali TehraniJamsaz; Eduardo César; Anna Sikora; Ali Jannesari (HPDC, 2023)

Integrating Information from Natural Language Parse Tree to Code Generation. - Hung Phan; Ali Jannesari (Tiny Papers @ ICLR, 2023)

OpenMP Offload Features and Strategies for High Performance across Architectures and Compilers. - Arijit Bhattacharjee; Christopher S. Daley; Ali Jannesari (IPDPS Workshops, 2023)

Power Constrained Autotuning using Graph Neural Networks. - Akash Dutta; Jee Choi; Ali Jannesari (IPDPS, 2023)

Domain-Aware Scalable Distributed Training for Geo-Spatiotemporal Data. - Aishwarya Sarkar; Jien Zhang; Chaoqun Lu; Ali Jannesari (IPDPS Workshops, 2023)

Learning to Parallelize with OpenMP by Augmented Heterogeneous AST Representation. - Le Chen; Quazi Ishtiaque Mahmud; Hung Phan; Nesreen K. Ahmed; Ali Jannesari (MLSys, 2023)

PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis. - Ali TehraniJamsaz; Quazi Ishtiaque Mahmud; Le Chen; Nesreen K. Ahmed; Ali Jannesari (NeurIPS, 2023)

Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion. - Duy Phuong Nguyen; Sixing Yu; J. Pablo Muñoz; Ali Jannesari (SC Workshops, 2023)

Addressing Stale Gradients in Scalable Federated Deep Reinforcement Learning. - Justin Stanley; Ali Jannesari (SC Workshops, 2023)

Optimal Deep Learning Model for UAVs: A Case Study. - Chandan Kumar 004; Ali Jannesari (WPMC, 2023)

Accelerating Domain-aware Deep Learning Models with Distributed Training. - Aishwarya Sarkar; Chaoqun Lu; Ali Jannesari (CoRR, 2023)

Interpreting Pretrained Source-code Models using Neuron Redundancy Analyses. - Arushi Sharma; Zefu Hu; Christopher J. Quinn; Ali Jannesari (CoRR, 2023)

Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning. - Sixing Yu; J. Pablo Muñoz; Ali Jannesari (CoRR, 2023)

AUTOPARLLM: GNN-Guided Automatic Code Parallelization using Large Language Models. - Quazi Ishtiaque Mahmud; Ali TehraniJamsaz; Hung D. Phan; Nesreen K. Ahmed; Ali Jannesari (CoRR, 2023)

CompCodeVet: A Compiler-guided Validation and Enhancement Approach for Code Dataset. - Le Chen; Arijit Bhattacharjee; Nesreen K. Ahmed; Niranjan Hasabnis; Gal Oren 001; Bin Lei; Ali Jannesari (CoRR, 2023)

LEFL: Low Entropy Client Sampling in Federated Learning. - Waqwoya Abebe; Juan Pablo Muñoz; Ali Jannesari (CoRR, 2023)

A region proposal algorithm using texture similarity and perceptual grouping. - Maryam Taghizadeh; Abdolah Chalechale; Ali Jannesari (J. Ambient Intell. Humaniz. Comput., 2023)

Predicting number of threads using balanced datasets for openMP regions. - Jordi Alcaraz; Ali TehraniJamsaz; Akash Dutta; Anna Sikora; Ali Jannesari; Joan Sorribes; Eduardo César (Computing, 2023)

Reducing branch divergence to speed up parallel execution of unit testing on GPUs. - Taghreed Bagies; Wei Le; Jeremy Sheaffer; Ali Jannesari (J. Supercomput., 2023)

Improving Federated Learning Through Low-Entropy Client Sampling Based on Learned High-Level Features. - Waqwoya Abebe; Pablo Munoz; Ali Jannesari (CLOUD, 2024)

MIREncoder: Multi-modal IR-based Pretrained Embeddings for Performance Optimizations. - Akash Dutta; Ali Jannesari (PACT, 2024)

MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed Graphs. - Aishwarya Sarkar; Sayan Ghosh; Nathan R. Tallent; Ali Jannesari (CLUSTER, 2024)

Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models. - Sixing Yu; Juan Pablo Muñoz; Ali Jannesari (LREC/COLING, 2024)

Leveraging Statistical Machine Translation for Code Search. - Hung Phan; Ali Jannesari (EASE, 2024)

Training a Transformer Model for OpenMP Pragma Generation. - Arijit Bhattacharjee; Ali Jannesari (Euro-Par Workshops (2), 2024)

OMPGPT: A Generative Pre-trained Transformer Model for OpenMP. - Le Chen; Arijit Bhattacharjee; Nesreen K. Ahmed; Niranjan Hasabnis; Gal Oren 001; Vy A. Vo; Ali Jannesari (Euro-Par (1), 2024)

Efficient Code Region Characterization Through Automatic Performance Counters Reduction Using Machine Learning Techniques. - Suren Harutyunyan; Eduardo César; Anna Sikora; Jiri Filipovic; Akash Dutta; Ali Jannesari; Jordi Alcaraz (Euro-Par (1), 2024)

Resource-Aware Heterogeneous Federated Learning with Specialized Local Models. - Sixing Yu; J. Pablo Muñoz; Ali Jannesari (Euro-Par (1), 2024)

Discerning Self-supervised Learning and Weakly Supervised Learning. - Chandan Kumar 004; Ali Jannesari; Matthew J. Darr (Tiny Papers @ ICLR, 2024)

MPI Errors Detection using GNN Embedding and Vector Embedding over LLVM IR. - Jad El Karchi; Hanze Chen; Ali TehraniJamsaz; Ali Jannesari; Mihail Popov; Emmanuelle Saillard (IPDPS, 2024)

ParaGraph: Weighted Graph Representation for Performance Optimization of HPC Kernels. - Ali TehraniJamsaz; Alok Mishra 002; Akash Dutta; Abid M. Malik; Barbara M. Chapman; Ali Jannesari (IPDPS (Workshops), 2024)

GraphBinMatch: Graph-Based Similarity Learning for Cross-Language Binary and Source Code Matching. - Ali TehraniJamsaz; Hanze Chen; Ali Jannesari (IPDPS (Workshops), 2024)

Redundancy and Concept Analysis for Code-trained Language Models. - Arushi Sharma; Zefu Hu; Christopher J. Quinn; Ali Jannesari (ASE Workshops, 2024)

CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming. - Ali TehraniJamsaz; Arijit Bhattacharjee; Le Chen; Nesreen K. Ahmed; Amir Yazdanbakhsh; Ali Jannesari (NeurIPS, 2024)

Work-In-Progress: Energy and Thermal-Aware Scheduling based on HMARL for OpenMP DAG Workloads. - Mohammad Pivezhandi; Aakriti Jain; Abusayeed Saifullah; Ali Jannesari (RTSS, 2024)

PipeInfer: Accelerating LLM Inference using Asynchronous Pipelined Speculation. - Branden Butler; Sixing Yu; Arya Mazaheri; Ali Jannesari (SC, 2024)

Static Generation of Efficient OpenMP Offload Data Mappings. - Luke Marzen; Akash Dutta; Ali Jannesari (SC, 2024)

The Landscape and Challenges of HPC Research and LLMs. - Le Chen; Nesreen K. Ahmed; Akash Dutta; Arijit Bhattacharjee; Sixing Yu; Quazi Ishtiaque Mahmud; Waqwoya Abebe; Hung Phan; Aishwarya Sarkar; Branden Butler; Niranjan Hasabnis; Gal Oren 001; et al. (CoRR, 2024)

Unsupervised learning based object detection using Contrastive Learning. - Chandan Kumar 004; Jansel Herrera-Gerena; John Just; Matthew J. Darr; Ali Jannesari (CoRR, 2024)

Learn and Search: An Elegant Technique for Object Lookup using Contrastive Learning. - Chandan Kumar 004; Jansel Herrera-Gerena; John Just; Matthew J. Darr; Ali Jannesari (CoRR, 2024)

SAM-I-Am: Semantic Boosting for Zero-shot Atomic-Scale Electron Micrograph Segmentation. - Waqwoya Abebe; Jan Strube 001; Luanzheng Guo; Nathan R. Tallent; Oceane Bel; Steven R. Spurgeon; Christina Doty; Ali Jannesari (CoRR, 2024)

FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learning. - Duy Phuong Nguyen; J. Pablo Munoz; Ali Jannesari (CoRR, 2024)

RAG vs. Long Context: Examining Frontier Large Language Models for Environmental Review Document Comprehension. - Hung Phan; Anurag Acharya 002; Sarthak Chaturvedi; Shivam Sharma; Mike Parker; Dan Nally; Ali Jannesari; Karl Pazdernik; Mahantesh Halappanavar; Sai Munikoti; Sameera Horawalavithana (CoRR, 2024)

Fortran2CPP: Automating Fortran-to-C++ Migration using LLMs via Multi-Turn Dialogue and Dual-Agent Integration. - Le Chen; Bin Lei; Dunzhi Zhou; Pei-Hung Lin; Chunhua Liao; Caiwen Ding; Ali Jannesari (CoRR, 2024)

Fast data-dependence profiling through prior static analysis. - Mohammad Norouzi Arab; Nicolas Morew; Qamar Ilias; Lukas Rothenberger; Ali Jannesari; Felix Wolf 001 (Parallel Comput., 2024)

Maximizing aerial detection of organic objects in non-exhaustively searchable survey area. - Amir Ehsan Niaraki Asli; Jansel Herrera-Gerena; Jeremy Roghair; Ali Jannesari (CVPR Workshops, 2025)

PCEBench: A Multi-Dimensional Benchmark for Evaluating Large Language Models in Parallel Code Generation. - Le Chen; Nesreen K. Ahmed; Mihai Capota; Ted Willke; Niranjan Hasabnis; Ali Jannesari (IPDPS, 2025)

Enhanced Soups for Graph Neural Networks. - Joseph Zuber; Aishwarya Sarkar; Joseph Jennings; Ali Jannesari (IPDPS (Workshops), 2025)

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 (NAACL (Long Papers), 2025)

SuperSAM: Crafting a SAM Supernetwork via Structured Pruning and Unstructured Parameter Prioritization. - Waqwoya Abebe; Sadegh Jafari; Sixing Yu; Akash Dutta; Jan Strube 001; Nathan R. Tallent; Luanzheng Guo; J. Pablo Muñoz; Ali Jannesari (CoRR, 2025)

Federated Multimodal Learning with Dual Adapters and Selective Pruning for Communication and Computational Efficiency. - Duy Phuong Nguyen; J. Pablo Munoz; Tanya Roosta; Ali Jannesari (CoRR, 2025)

Data Race Satisfiability on Array Elements. - Junhyung Shim; Quazi Ishtiaque Mahmud; Ali Jannesari (CoRR, 2025)

Leveraging Manifold Embeddings for Enhanced Graph Transformer Representations and Learning. - Ankit Jyothish; Ali Jannesari (CoRR, 2025)

Generalizing Scaling Laws for Dense and Sparse Large Language Models. - Md Arafat Hossain; Xingfu Wu; Valerie Taylor 001; Ali Jannesari (CoRR, 2025)