Computer-Aided Discovery: Toward Scientific Insight Generation with Machine Support. - Victor Pankratius; Justin D. Li; Michael G. Gowanlock; David M. Blair; Cody Rude; Tom Herring; Frank D. Lind; Philip J. Erickson; Colin J. Lonsdale (IEEE Intell. Syst., 2016)

Clustering Throughput Optimization on the GPU. - Michael G. Gowanlock; Cody M. Rude; David M. Blair; Justin D. Li; Victor Pankratius (IPDPS, 2017)

Parallel optimization of signal detection in active magnetospheric signal injection experiments. - Michael G. Gowanlock; Justin D. Li; Cody M. Rude; Victor Pankratius (Comput. Geosci., 2018)

A Hybrid Approach for Optimizing Parallel Clustering Throughput using the GPU. - Michael Gowanlock; Cody M. Rude; David M. Blair; Justin D. Li; Victor Pankratius (IEEE Trans. Parallel Distributed Syst., 2019)

Blockchains for Government: Use Cases and Challenges. - James R. Clavin; Sisi Duan; Haibin Zhang; Vandana P. Janeja; Karuna P. Joshi; Yelena Yesha; Lucy C. Erickson; Justin D. Li (Digit. Gov. Res. Pract., 2020)

Early-stopped neural networks are consistent. - Ziwei Ji; Justin D. Li; Matus Telgarsky (NeurIPS, 2021)

On Achieving Optimal Adversarial Test Error. - Justin D. Li; Matus Telgarsky (ICLR, 2023)

The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning. - Nathaniel Li; Alexander Pan; Anjali Gopal; Summer Yue; Daniel Berrios; Alice Gatti; Justin D. Li; Ann-Kathrin Dombrowski; Shashwat Goel; Gabriel Mukobi; Nathan Helm-Burger; Rassin Lababidi; et al. (ICML, 2024)

The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning. - Nathaniel Li; Alexander Pan; Anjali Gopal; Summer Yue; Daniel Berrios; Alice Gatti; Justin D. Li; Ann-Kathrin Dombrowski; Shashwat Goel; Long Phan; Gabriel Mukobi; Nathan Helm-Burger; et al. (CoRR, 2024)