Tianle Wang

According to our database, Tianle Wang authored at least 15 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Scalable AI-assisted Workflow Management for Detector Design Optimization Using Distributed Computing.

Derek Anderson, Amit Bashyal, Markus Diefenthaler, Cristiano Fanelli, Wen Guan, Tanja Horn, Alex Jentsch, Meifeng Lin, Tadashi Maeno, Kei Nagai, Hemalata Nayak, Connor Pecar, Karthik Suresh, Fang-Ying Tsai, Anselm Vossen, Tianle Wang, Torre J. Wenaus

CoRR, March, 2026

CelloAI Benchmarks: Toward Repeatable Evaluation of AI Assistants.

Mohammad Atif, Kriti Chopra, Fang-Ying Tsai, Ozgur O. Kilic, Tianle Wang, Zhihua Dong, Douglas Benjamin, Charles Leggett, Meifeng Lin, Paolo Calafiura, Salman Habib

CoRR, March, 2026

2025

RHAPSODY: Execution of Hybrid AI-HPC Workflows at Scale.

Aymen Alsaadi, Mason Hooten, Mariya Goliyad, André Merzky, Andrew E. Shao, Mikhail Titov, Tianle Wang, Yian Chen, Maria Kalantzi, Kent Lee, Andrew Park, Indira Pimpalkhare, Nick Radcliffe, Colin Wahl, Pete Mendygral, Matteo Turilli, Shantenu Jha

CoRR, December, 2025

CelloAI: Leveraging Large Language Models for HPC Software Development in High Energy Physics.

Mohammad Atif, Kriti Chopra, Ozgur Kilic, Tianle Wang, Zhihua Dong, Charles Leggett, Meifeng Lin, Paolo Calafiura, Salman Habib

CoRR, August, 2025

A Microbenchmark Framework for Performance Evaluation of OpenMP Target Offloading.

Mohammad Atif, Tianle Wang, Zhihua Dong, Charles Leggett, Meifeng Lin

CoRR, March, 2025

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis.

Sanket R. Jantre, Tianle Wang, Gilchan Park, Kriti Chopra, Nicholas Jeon, Xiaoning Qian, Nathan M. Urban, Byung-Jun Yoon

CoRR, February, 2025

ROSE: RADICAL Orchestrator for Surrogate Exploration.

Aymen Alsaadi, Tianle Wang, Andrew Park, Pradeep Bajracharya, Linwei Wang, Fanbo Sun, Sudip Seal, Vikram Jadhao, Geoffrey C. Fox, Shantenu Jha

Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, 2025

Scalable Runtime Architecture for Data-driven, Hybrid HPC and ML Workflow Applications.

André Merzky, Mikhail Titov, Matteo Turilli, Ozgur O. Kilic, Tianle Wang, Shantenu Jha

Proceedings of the 2025 IEEE International Parallel and Distributed Processing Symposium, 2025

2024

Workflow Mini-Apps: Portable, Scalable, Tunable & Faithful Representations of Scientific Workflows.

Ozgur O. Kilic, Tianle Wang, Matteo Turilli, Mikhail Titov, André Merzky, Line Pouchard, Shantenu Jha

Proceedings of the 24th IEEE International Symposium on Cluster, 2024

An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry.

Tianle Wang, Jorge Ramirez, Cristina Garcia-Cardona, Thomas Proffen, Shantenu Jha, Sudip K. Seal

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Evaluating Portable Parallelization Strategies for Heterogeneous Architectures in High Energy Physics.

Mohammad Atif, Meghna Battacharya, Paolo Calafiura, Taylor Childers, Mark Dewing, Zhihua Dong, Oliver Gutsche, Salman Habib, Kyle Knoepfel, Matti Kortelainen, Ka Hei Martin Kwok, Charles Leggett, Meifeng Lin, Vincent R. Pascuzzi, Alexei Strelchenko, Vakhtang Tsulaia, Brett Viren, Tianle Wang, Beomki Yeo, Haiwang Yu

CoRR, 2023

Portable Programming Model Exploration for LArTPC Simulation in a Heterogeneous Computing Environment: OpenMP vs. SYCL.

Meifeng Lin, Zhihua Dong, Tianle Wang, Mohammad Atif, Meghna Battacharya, Kyle Knoepfel, Charles Leggett, Brett Viren, Haiwang Yu

CoRR, 2023

A Parallel Machine Learning Workflow for Neutron Scattering Data Analysis.

Tianle Wang, Sudip K. Seal, Ramakrishnan Kannan, Cristina Garcia-Cardona, Thomas Proffen, Shantenu Jha

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Building the I (Interoperability) of FAIR for Performance Reproducibility of Large-Scale Composable Workflows in RECUP.

Bogdan Nicolae, Tanzima Z. Islam, Robert B. Ross, Huub J. J. Van Dam, Kevin Assogba, Polina Shpilker, Mikhail Titov, Matteo Turilli, Tianle Wang, Ozgur O. Kilic, Shantenu Jha, Line C. Pouchard

Proceedings of the 19th IEEE International Conference on e-Science, 2023

2022

Finding Hidden Patterns in High Resolution Wind Flow Model Simulations.

Tianle Wang, Bigeng Wang, Elisha Siddiqui Matekole, Mohammad Atif

Proceedings of the Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation, 2022