Conditional generative adversarial network driven variable-duration single-lead to 12-lead electrocardiogram reconstruction. - Zehui Zhan; Jiarong Chen; Kangming Li; Linfei Huang; Lin Xu 008; Gui-Bin Bian; Richard C. Millham; Victor Hugo C. de Albuquerque; Wanqing Wu (Biomed. Signal Process. Control., 2024)

Accurate predictions of keyhole depths using machine learning-aided simulations. - Jiahui Zhang; Runbo Jiang; Kangming Li; Pengyu Chen; Xiao Shang; Zhiying Liu; Jason Hattrick-Simpers; Brian J. Simonds; Qianglong Wei; Hongze Wang; Tao Sun; Anthony D. Rollett; et al. (CoRR, 2024)

Evaluating the Performance and Robustness of LLMs in Materials Science Q&A and Property Predictions. - Hongchen Wang; Kangming Li; Scott Ramsay; Yao Fehlis; Edward Kim; Jason Hattrick-Simpers (CoRR, 2024)

LLM4Mat-Bench: Benchmarking Large Language Models for Materials Property Prediction. - Andre Niyongabo Rubungo; Kangming Li; Jason Hattrick-Simpers; Adji Bousso Dieng (CoRR, 2024)

Exploring the Frontiers of kNN Noisy Feature Detection and Recovery for Self-Driving Labs. - Qiuyu Shi; Kangming Li; Yao Fehlis; Daniel Persaud; Robert Black; Jason Hattrick-Simpers (CoRR, 2025)