Confluence of Artificial Intelligence and High Performance Computing for Accelerated, Scalable and Reproducible Gravitational Wave Detection. - Eliu A. Huerta; Asad Khan; Xiaobo Huang; Minyang Tian; Maksim Levental; Ryan Chard; Wei Wei 021; Maeve Heflin; Daniel S. Katz; Volodymyr V. Kindratenko; Dawei Mu; Ben Blaiszik; et al. (CoRR, 2020)

Inference-Optimized AI and High Performance Computing for Gravitational Wave Detection at Scale. - Pranshu Chaturvedi; Asad Khan; Minyang Tian; Eliu A. Huerta; Huihuo Zheng (Frontiers Artif. Intell., 2022)

Physics-inspired spatiotemporal-graph AI ensemble for gravitational wave detection. - Minyang Tian; Eliu A. Huerta; Huihuo Zheng (CoRR, 2023)

AI ensemble for signal detection of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers. - Minyang Tian; Eliu A. Huerta; Huihuo Zheng (CoRR, 2023)

SciCode: A Research Coding Benchmark Curated by Scientists. - Minyang Tian; Luyu Gao; Shizhuo Dylan Zhang; Xinan Chen; Cunwei Fan; Xuefei Guo; Roland Haas; Pan Ji; Kittithat Krongchon; Yao Li; Shengyan Liu; Di Luo; et al. (NeurIPS, 2024)

SciCode: A Research Coding Benchmark Curated by Scientists. - Minyang Tian; Luyu Gao; Shizhuo Dylan Zhang; Xinan Chen; Cunwei Fan; Xuefei Guo; Roland Haas; Pan Ji; Kittithat Krongchon; Yao Li; Shengyan Liu; Di Luo; et al. (CoRR, 2024)

OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs. - Akari Asai; Jacqueline He; Rulin Shao; Weijia Shi; Amanpreet Singh; Joseph Chee Chang; Kyle Lo; Luca Soldaini; Sergey Feldman; Mike D'Arcy; David Wadden; Matt Latzke; et al. (CoRR, 2024)

EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants. - Franck Cappello; Sandeep Madireddy; Robert Underwood; Neil Getty; Nicholas Lee-Ping Chia; Nesar Ramachandra; Josh Nguyen; Murat Keçeli; Tanwi Mallick; Zilinghan Li; Marieme Ngom; Chenhui Zhang; et al. (CoRR, 2025)