| 2025 | ICTAI | Towards an Event-Level Analysis in Hadronic Physics Using Generative AI-Based Surrogates. | Tareq Alghamdi, Jitao Xu, Nesar Ramachandra, Nobuo Sato, Yaohang Li |
| 2024 | ECCV | BenchLMM: Benchmarking Cross-Style Visual Capability of Large Multimodal Models. | Rizhao Cai, Zirui Song, Dayan Guan, Zhenhao Chen, Yaohang Li, Xing Luo, Chenyu Yi, Alex C. Kot |
| 2024 | ICTAI | Unfolding Particle Detector Acceptance in High Energy Physics with Generative AI. | Tareq Alghamdi, Tommaso Vittorini, Marco Spreafico, Marco Battaglieri, Nobuo Sato, Yaohang Li |
| 2022 | ICMLA | Point Cloud-based Variational Autoencoder Inverse Mappers (PC-VAIM) - An Application on Quantum Chromodynamics Global Analysis. | Manal Almaeen, Yasir Alanazi, Nobuo Sato, Wally Melnitchouk, Yaohang Li |
| 2022 | IJCNN | Image Synthesis Using Conditional GANs for Selective Laser Melting Additive Manufacturing. | Andy Ramlatchan, Yaohang Li |
| 2021 | IJCAI | Simulation of Electron-Proton Scattering Events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN). | Yasir Alanazi, Nobuo Sato, Tianbo Liu, Wally Melnitchouk, Pawel Ambrozewicz, Florian Hauenstein, Michelle P. Kuchera, Evan Pritchard, Michael Robertson, Ryan R. Strauss, Luisa Velasco, Yaohang Li |
| 2021 | IJCAI | A Survey of Machine Learning-Based Physics Event Generation. | Yasir Alanazi, Nobuo Sato, Pawel Ambrozewicz, Astrid N. Hiller Blin, Wally Melnitchouk, Marco Battaglieri, Tianbo Liu, Yaohang Li |
| 2021 | IJCNN | Variational Autoencoder Inverse Mapper: An End-to-End Deep Learning Framework for Inverse Problems. | Manal Almaeen, Yasir Alanazi, Nobuo Sato, Wally Melnitchouk, Michelle P. Kuchera, Yaohang Li |
| 2020 | ICMLA | cFAT-GAN: Conditional Simulation of Electron-Proton Scattering Events with Variate Beam Energies by a Feature Augmented and Transformed Generative Adversarial Network. | Luisa Velasco, Evan McClellan, Nobuo Sato, Pawel Ambrozewicz, Tianbo Liu, Wally Melnitchouk, Michelle P. Kuchera, Yasir Alanazi, Yaohang Li |
| 2018 | ICTAI | Faster Matrix Completion Using Randomized SVD. | Xu Feng, Wenjian Yu, Yaohang Li |
| 2017 | DASC | Validating the Correctness of Outsourced Computational Tasks Using Pseudorandom Number Generators. | Yaohang Li, Ravi Mukkamala, Michael Mascagni |
| 2017 | IJCAI | Single-Pass PCA of Large High-Dimensional Data. | Wenjian Yu, Yu Gu, Jian Li, Shenghua Liu, Yaohang Li |
| 2015 | ICIS | Understanding Mobile Banking Applications' Security risks through Blog Mining and the Workflow Technology. | Wu He, Xin Tian, Jiancheng Shen, Yaohang Li |
| 2015 | SIGCSE | Using Workflow Technology to Create Scenario-based Workflows for Information Security Education: Scenario-based Workflows (Abstract Only). | Wu He, Ashish Kshirsagar, Alexander C. Nwala, Yaohang Li |
| 2014 | SC | An implementation of block conjugate gradient algorithm on CPU-GPU processors. | Hao Ji, Masha Sosonkina, Yaohang Li |
| 2011 | MICCAI | A Large-Scale Manifold Learning Approach for Brain Tumor Progression Prediction. | Loc Tran, Debrup Banerjee, Xiaoyan Sun, Jihong Wang, Ashok J. Kumar, David Vinning, Frederic D. McKenzie, Yaohang Li, Jiang Li |
| 2010 | CIBCB | Integrating multiple scoring functions to improve protein loop structure conformation space sampling. | Yaohang Li, Ionel Rata, Eric Jakobsson |
| 2009 | ICCS | A Population-Based Approach for Diversified Protein Loop Structure Sampling. | Yaohang Li |
| 2009 | ICCS | Minkowski Functionals Study of Random Number Sequences. | Xinyu Zhang, Seth E. Watts, Yaohang Li, Daniel A. Tortorelli |
| 2008 | PDPTA | A Sensor Information Framework for Integrating and Orchestrating Distributed Sensor Services. | Yaohang Li, Albert C. Esterline, Cheickna Baber, Kawana Fuller, Michael Burns, Tracy Hansen, Thomas LeFebvre, MarySue Schultz, Mark Govett, Paul Hamer, Ashvin Mysore |
| 2007 | ICCSA | Decentralized Replica Exchange Parallel Tempering: An Efficient Implementation of Parallel Tempering Using MPI and SPRNG. | Yaohang Li, Michael Mascagni, Andrey Gorin |
| 2007 | PDPTA | Efficient Parallel Implementation of Evolutionary Markov Chain Monte Carlo. | Yaohang Li, Jason Clark, Kenneth W. Williams, Christopher Doss, Yong-Duan Song |
| 2006 | GRC | Large-scale software unit testing on the grid. | Yaohang Li, Tao Dong, Xinyu Zhang, Yong-Duan Song, Xiaohong Yuan |
| 2006 | PDPTA | Using Grid Computing for Distributed Software Testing. | Yong-Duan Song, Tao Dong, Yaohang Li |
| 2005 | PDPTA | Secure Remote Compiling Services on the Grid. | Yaohang Li, Daniel Tsu-Tang Chen, Xiaohong Yuan, Huiming Yu, Albert C. Esterline |
| 2003 | CCGRID | Improving Performance via Computational Replication on a Large-Scale Computational Grid. | Yaohang Li, Michael Mascagni |
| 2003 | CCGRID | Grid-based Nonequilibrium Multiple-Time Scale Molecular Dynamics/Brownian Dynamics Simulations of Ligand-Receptor Interactions in Structured Protein Systems. | Yaohang Li, Michael Mascagni, Michael H. Peter |
| 2003 | PDPTA | GCIMCA: A Globus and SPRNG Implementation of a Grid-Computing Infrastructure for Monte Carlo Applications. | Yaohang Li, Michael Mascagni, Robert van Engelen |