Yuqi Song

Assistant Professor of Computer Science

207-780-4794

yuqi.song@maine.edu

Download Curriculum Vitae

C286 Science Building

Education

Ph.D. Computer Science, University of South Carolina, USA, 2023
M.S. Software Engineering, Chongqing University, China, 2019
B.S. Software Engineering, Chongqing University, China, 2016

Current Courses

COS 160
COS 322
Office Hours: Wed. 2:00 - 3:00

Department of Computer Science

Dr. Yuqi Song joined the Computer Science Department at the University of Southern Maine in August 2023. She received her Ph.D. in Computer Science from the University of South Carolina, under the supervision of Dr. Jianjun Hu. Her research interests include deep learning, machine learning, data mining, and their applications in material informatics, health informatics, recommendation systems and image processing.

https://yuqi-song.github.io /

Selected Publications

Jianjun Hu, Yong Zhao, Qin Li, Yuqi Song, Rongzhi Dong, Wenhui Yang, and Edirisuriya MD Siriwardane. "Deep Learning-Based Prediction of Contact Maps and Crystal Structures of Inorganic Materials". In: ACS Omega (2023).

Nihang Fu, Lai Wei, Yuqi Song, Qinyang Li, Rui Xin, Sadman Sadeed Omee, Rongzhi Dong, Edirisuriya M Dilanga Siriwardane, and Jianjun Hu. "Material transformers: deep learning language models for generative materials design". In: Machine Learning: Science and Technology 4.1 (2023), p. 015001.

Jeffrey Hu and Yuqi Song. "Piezoelectric modulus prediction using machine learning and graph neural networks". In: Chemical Physics Letters 791 (2022), p. 139359.

Rongzhi Dong, Yong Zhao, Yuqi Song, Nihang Fu, Sadman Sadeed Omee, Sourin Dey, Qinyang Li, Lai Wei, and Jianjun Hu. "DeepXRD, a Deep Learning Model for Predicting of XRD spectrum from Materials Composition". In: ACS Applied Materials & Interfaces 14.35 (2022), pp. 40102–40115.

Jianjun Hu, Stan Stef, Yuqi Song, Sadman Sadeed Omee, Steph-Yves Louis, Edirisuriya Siriwardane, Yong Zhao, and Lai Wei. "MaterialsAtlas. org: a materials informatics web app platform for materials discovery and survey of state-of-the-art". In: npj Computational Materials 8.1 (2022), pp. 1–12.

Feng Jiang, Yang Cao, Huan Wu, Xibin Wang, Yuqi Song, and Min Gao. "Social Recommendation Based on Multi-Auxiliary Information Constrastive Learning". In: Mathematics 10.21 (2022), p. 4130.

Yuqi Song, Edirisuriya M Dilanga Siriwardane, Yong Zhao, and Jianjun Hu. "Computational discovery of new 2D materials using deep learning generative models". In: ACS Applied Materials & Interfaces 13.45 (2021), pp. 53303–53313.

Yong Zhao, Mohammed Al-Fahdi, Ming Hu, Edirisuriya MD Siriwardane, Yuqi Song, Alireza Nasiri, and Jianjun Hu. "High-throughput discovery of novel cubic crystal materials using deep generative neural networks". In: Advanced Science 8.20 (2021), p. 2100566.

Rui Xin, Edirisuriya MD Siriwardane, Yuqi Song, Yong Zhao, Steph-Yves Louis, Alireza Nasiri, and Jianjun Hu. "Active-Learning-Based Generative Design for the Discovery of Wide-Band-Gap Materials". In: The Journal of Physical Chemistry C 125.29 (2021), pp. 16118–16128.

Yuqi Song, Joseph Lindsay, Yong Zhao, Alireza Nasiri, Steph-Yves Louis, Jie Ling, Ming Hu, and Jianjun Hu. “Machine learning based prediction of noncentrosymmetric crystal materials”. In: Computational Materials Science 183 (2020), p. 109792.