Publications (Google Scholar Profile)

Deep Learning/Machine Learning and Material Informatics

• Evolutionary Machine Learning in Science and Engineering.
  Jianjun Hu, Yuqi Song, Sadman Sadeed Omee, et al.
  Handbook of Evolutionary Machine Learning, 2023. [Chapter]

• Probabilistic generative transformer language models for generative design of molecules.
  Lai Wei, Nihang Fu, Yuqi Song, et al.
  Journal of Cheminformatics,2023. [Paper]

• Material transformers: deep learning language models for generative materials design.
  Nihang Fu, Lai Wei, Yuqi Song, et al.
  Journal of Machine Learning: Science and Technology, 2023. [Paper]

• Deep Learning-Based Prediction of Contact Maps and Crystal Structures of Inorganic Materials.
  Jianjun Hu, Yong Zhao, Qin Li, Yuqi Song, et al.
  Journal of ACS Omega, 2023. [Paper]

• MaterialsAtlas. org: a materials informatics web app platform for materials discovery and survey of state-of-the-art.
  Jianjun Hu, Stan Stef, Yuqi Song, et al.
  Journal of npj Computational Materials, 2023. IF: 12.256. [Paper]

• DeepXRD, a Deep Learning Model for Predicting of XRD spectrum from Materials Composition.
  Rongzhi Dong, Yong Zhao, Yuqi Song, et al.
  Journal of ACS Applied Materials & Interfaces, 2023. IF: 10.383. [Paper]

• Piezoelectric modulus prediction using machine learning and graph neural networks.
  Jeffrey Hu and Yuqi Song*
  Journal of Chemical Physics Letters, 2022. [Paper]

• High-throughput discovery of novel cubic crystal materials using deep generative neural networks.
  Yong Zhao, Mohammed Al-Fahdi, Ming Hu, Edirisuriya MD Siriwardane, Yuqi Song et al.
  Journal of Advanced Science, 2021. IF: 17.521. [Paper]

• Computational Discovery of New 2D Materials Using Deep Learning Generative Models.
  Yuqi Song, Edirisuriya MD Siriwardane, Yong Zhao, and Jianjun Hu.
  Journal of ACS Applied Materials & Interfaces, 2021. IF: 10.383. [Paper]

• Active-Learning-Based Generative Design for the Discovery of Wide-Band-Gap Materials.
  Rui Xin, Edirisuriya MD Siriwardane, Yuqi Song, et al.
  Journal of Physical Chemistry C, 2021. [Paper]

• Machine learning based prediction of noncentrosymmetric crystal materials.
  Yuqi Song, Joseph Lindsay, Yong Zhao, et al.
  Journal of Computational Materials Science, 2020. [Paper]

• Graph convolutional neural networks with global attention for improved materials property prediction.
  Steph-Yves Louis, Yong Zhao, Alireza Nasiri, Xiran Wang, Yuqi Song, et al.
  Journal of Physical Chemistry Chemical Physics, 2020. [Paper]

• Computational screening of new perovskite materials using transfer learning and deep learning.
  Xiang Li, Yabo Dan, Rongzhi Dong, Zhuo Cao, Chengcheng Niu, Yuqi Song, et al.
  Journal of Applied Sciences, 2019. [Paper]

Image Processing

• Depth Monocular Estimation with Attention-based Encoder-Decoder Network from Single Image.
  Xin Zhang, Rabab Abdelfattah, Yuqi Song, et al.
  International Conference on HPCC/DSS/SmartCity/DependSys, 2022. [Paper]

• An Effective Approach for Multi-label Classification with Missing Labels.
  Xin Zhang, Rabab Abdelfattah, Yuqi Song, et al.
  International Conference on HPCC/DSS/SmartCity/DependSys, 2022. [Paper]

Recommender System

• Social Recommendation Based on Multi-Auxiliary Information Constrastive Learning.
  Feng Jiang, Yang Cao, Huan Wu, Xibin Wang, Yuqi Song, and Min Gao
  Journal of Mathematics, 2022. [Paper]

• Nonlinear Transformation for Multiple Auxiliary Information in Music Recommendation.
  Junwei Zhang, Min Gao, Junliang Yu, Xinyi Wang, Yuqi Song, et al.
  International Joint Conference on Neural Networks (IJCNN), 2019. [Paper]

• Social recommendation based on implicit friends discovering via meta-path.
  Yuqi Song, Min Gao, Junliang Yu, and Qingyu Xiong
  International Conference on Tools with Artificial Intelligence (ICTAI), 2018. [Paper]

• A social recommender based on factorization and distance metric learning.
  Junliang Yu, Min Gao, Wenge Rong, Yuqi Song, et al.
  Journal of IEEE Access, 2017. [Paper]

Shilling Detection

• Detection of shilling attack based on bayesian model and user embedding.
  Fan Yang, Min Gao, Junliang Yu, Yuqi Song, et al.
  International Conference on Tools with Artificial Intelligence (ICTAI), 2018. [Paper]

• PUED: A Social Spammer Detection Method Based on PU Learning and Ensemble Learning.
  Yuqi Song, Min Gao, Junliang Yu, et al.
  International Conference, CollaborateCom, 2017. [Paper]