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Author

Ali Jannesari

Observed name: Jannesari, Ali
Observed institution: Iowa State University
ORCID: 0000-0001-8672-5317
Observed ORCID: 0000-0001-8672-5317
OpenAlex ID: A5122926545
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models
2024 · Sixing Yu, Juan Pablo Munoz, et al. · Language Resources and Evaluation Conference (LREC) · 27
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PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis
2023 · Ali Tehranijamsaz, Quazi Ishtiaque Mahmud, et al. · neural information processing systems · 4
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Dual-Distilled Heterogeneous Federated Learning with Adaptive Margins for Trainable Global Prototypes
2026 · Fatema Siddika, Md Anwar Hossen, et al. · IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) · 1
FedSEAM: Federated Continual Learning of LLMs via Subspace Expert Agreement Merging
2026 · Siddika, Fatema, Chunduru, Abhijit, et al. · arXiv (Cornell University)
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ATEST: Adaptive Resource-Aware Test-Time Scaling for LLM Inference
2026 · Kashaniyan, Mobina, Jannesari, Ali · arXiv (Cornell University)
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Sample Count Is Not Enough: Candidate-Generation Strategy Shapes the Energy and Performance of LLM Test-Time Scaling
2026 · Kashaniyan, Mobina, Jannesari, Ali · arXiv (Cornell University)
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Accelerating Transfer-Learning-Based Autotuning with Predictive LLVM IR Performance Ranking
2026 · Hossain, Md Arafat, Randall, Thomas, et al. · arXiv (Cornell University)
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GraphPerf-RT: Graph-Driven Performance Modeling with Calibrated Uncertainty for OpenMP Scheduling on Heterogeneous Embedded SoCs
2026 · Mohammad Pivezhandi, Mahdi Banisharif, et al. · International Joint Conference on Artificial Intelligence
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A Unified and Scalable Framework for the Comprehensive Evaluation of Hydrological Model Behavior and Structural Diagnostics
2026 · Carlos Erazo, Yusuf Sermet, et al.
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APQF: Agentic Profiling-Guided Structured Pruning and Mixed-Precision Quantization with Adaptive Fine-Tuning
2026 · Jafari, Sadegh, Bilwal, Mohiuddin, et al. · arXiv (Cornell University)
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Interpretable Adaptive Sampling for LLM Test-Time Scaling
2026 · Kashaniyan, Mobina, Jannesari, Ali · arXiv (Cornell University)
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Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation
2026 · Mahmud, Quazi Ishtiaque, Ahmed, Nesreen K., et al. · arXiv (Cornell University)
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VarRate: Training-Free Variable-Rate KV Cache Compression for Long-Context LLMs
2026 · Esmat, Shahrzad, Shah, Dhawal, et al. · arXiv (Cornell University)
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ReM-MoA: Reasoning Memory Sustains Mixture-of-Agents Scaling
2026 · Ping, Heng, Bhattacharjee, Arijit, et al. · arXiv (Cornell University)
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POTracker: Optimizing Large Language Models for Standard-Compliant Power Outage Report Generation
2026 · Phan, Hung, Naladala, Aniroop, et al. · arXiv (Cornell University)
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Sparse Subspace-to-Expert Sharing for Task-Agnostic Continual Learning
2026 · Siddika, Fatema, Hossen, Md Anwar, et al. · arXiv (Cornell University)
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LLM-Guided ANN Index Optimization for Human-Object Interaction Retrieval
2026 · Esmat, Shahrzad, Lacewell, Chaunte W., et al. · arXiv (Cornell University)
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HeLoCo: Efficient asynchronous low-communication training under data and device heterogeneity
2026 · Asif, Abdullah Al, Diem, Patrick, et al. · arXiv (Cornell University)
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Fast MoE Inference via Predictive Prefetching and Expert Replication
2026 · Jyothish, Ankit, Jannesari, Ali, et al. · arXiv (Cornell University)
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CRAFT: Forgetting-Aware Intervention-Based Adaptation for Continual Learning
2026 · Hossen, Md Anwar, Siddika, Fatema, et al. · arXiv (Cornell University)
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ParCoder: Harnessing Transformer Models for Parallel Code Generation with OpenMP and MPI
2026 · Le Chen, Arijit Arijit, et al. · IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum
NOMAD: Generating Embeddings for Massive Distributed Graphs
2026 · Sarkar, Aishwarya, Ghosh, Sayan, et al. · arXiv (Cornell University)
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Communication-free Sampling and 4D Hybrid Parallelism for Scalable Mini-batch GNN Training
2026 · Wei, Cunyang, Singh, Siddharth, et al. · arXiv (Cornell University)
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A Lock-Free Work-Stealing Algorithm for Bulk Operations
2026 · Kataru, Raja Sai Nandhan Yadav, Davarnia, Danial, et al. · arXiv (Cornell University)
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Rudder: Steering Prefetching in Distributed GNN Training using LLM Agents
2026 · Sarkar, Aishwarya, Ghosh, Sayan, et al. · arXiv (Cornell University)
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Works count: 35
Citation count: 32
H-index: 2
I10-index: 1
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