基于增强BiLSTM-CRF模型的推文恶意软件名称识别 (Malware Name Recognition in Tweets Based on Enhanced BiLSTM-CRF Model). - Xuemei Gu; Jiayong Liu; Pengsen Cheng; Xiang He (计算机科学, 2020)

Learning interpretable representations of entanglement in quantum optics experiments using deep generative models. - Daniel Flam-Shepherd; Tony C. Wu; Xuemei Gu; Alba Cervera-Lierta; Mario Krenn; Alán Aspuru-Guzik (Nat. Mach. Intell., 2022)

Digital Discovery of 100 diverse Quantum Experiments with PyTheus. - Carlos Ruiz-Gonzalez; Sören Arlt; Jan Petermann; Sharareh Sayyad; Tareq Jaouni; Ebrahim Karimi; Nora Tischler; Xuemei Gu; Mario Krenn (Quantum, 2023)

Forecasting high-impact research topics via machine learning on evolving knowledge graphs. - Xuemei Gu; Mario Krenn (CoRR, 2024)

Generation and human-expert evaluation of interesting research ideas using knowledge graphs and large language models. - Xuemei Gu; Mario Krenn (CoRR, 2024)

Virtual reality for understanding artificial-intelligence-driven scientific discovery with an application in quantum optics. - Philipp Schmidt; Sören Arlt; Carlos Ruiz-Gonzalez; Xuemei Gu; Carla Rodríguez; Mario Krenn (Mach. Learn. Sci. Technol., 2024)

Deep quantum graph dreaming: deciphering neural network insights into quantum experiments. - Tareq Jaouni; Sören Arlt; Carlos Ruiz-Gonzalez; Ebrahim Karimi; Xuemei Gu; Mario Krenn (Mach. Learn. Sci. Technol., 2024)

Discovering emergent connections in quantum physics research via dynamic word embeddings. - Felix Frohnert; Xuemei Gu; Mario Krenn; Evert P. L. van Nieuwenburg (Mach. Learn. Sci. Technol., 2025)