| Graph convolutional neural networks with global attention for improved materials property prediction SY Louis, Y Zhao, A Nasiri, X Wang, Y Song, F Liu, J Hu Physical Chemistry Chemical Physics 22 (32), 18141-18148, 2020 | 150 | 2020 |
| High‐throughput discovery of novel cubic crystal materials using deep generative neural networks Y Zhao, M Al‐Fahdi, M Hu, EMD Siriwardane, Y Song, A Nasiri, J Hu Advanced Science 8 (20), 2100566, 2021 | 73 | 2021 |
| Computational discovery of new 2D materials using deep learning generative models Y Song, EMD Siriwardane, Y Zhao, J Hu ACS Applied Materials & Interfaces 13 (45), 53303-53313, 2021 | 50 | 2021 |
| Computational screening of new perovskite materials using transfer learning and deep learning X Li, Y Dan, R Dong, Z Cao, C Niu, Y Song, S Li, J Hu Applied Sciences 9 (24), 5510, 2019 | 50 | 2019 |
| A social recommender based on factorization and distance metric learning J Yu, M Gao, W Rong, Y Song, Q Xiong IEEE Access 5, 21557-21566, 2017 | 38 | 2017 |
| MaterialsAtlas. org: a materials informatics web app platform for materials discovery and survey of state-of-the-art J Hu, S Stefanov, Y Song, SS Omee, SY Louis, EMD Siriwardane, Y Zhao, ... npj Computational Materials 8 (1), 65, 2022 | 30 | 2022 |
| Collaborative shilling detection bridging factorization and user embedding T Dou, J Yu, Q Xiong, M Gao, Y Song, Q Fang Collaborative Computing: Networking, Applications and Worksharing: 13th …, 2018 | 23 | 2018 |
| Machine Learning based prediction of noncentrosymmetric crystal materials JH Yuqi Song, Joseph Lindsay, Yong Zhao, Alireza Nasiri, Steph-Yves Louis ... Computational Materials Science 183, 109792, 2020 | 21 | 2020 |
| Active-learning-based generative design for the discovery of wide-band-gap materials R Xin, EMD Siriwardane, Y Song, Y Zhao, SY Louis, A Nasiri, J Hu The Journal of Physical Chemistry C 125 (29), 16118-16128, 2021 | 19 | 2021 |
| Detection of shilling attack based on bayesian model and user embedding F Yang, M Gao, J Yu, Y Song, X Wang 2018 IEEE 30th International Conference on Tools with Artificial …, 2018 | 17 | 2018 |
| Material transformers: deep learning language models for generative materials design N Fu, L Wei, Y Song, Q Li, R Xin, SS Omee, R Dong, EMD Siriwardane, ... Machine Learning: Science and Technology 4 (1), 015001, 2023 | 12 | 2023 |
| Piezoelectric modulus prediction using machine learning and graph neural networks J Hu, Y Song Chemical Physics Letters, 2021 | 11 | 2021 |
| Crystal transformer: Self-learning neural language model for generative and tinkering design of materials L Wei, Q Li, Y Song, S Stefanov, E Siriwardane, F Chen, J Hu arXiv preprint arXiv:2204.11953, 2022 | 10 | 2022 |
| Alphacrystal: Contact map based crystal structure prediction using deep learning J Hu, Y Zhao, Q Li, Y Song, R Dong, W Yang, E Siriwardane arXiv preprint arXiv:2102.01620, 2021 | 9 | 2021 |
| DeepXRD, a Deep Learning Model for Predicting of XRD spectrum from Materials Composition R Dong, Y Zhao, Y Song, N Fu, SS Omee, S Dey, Q Li, L Wei, J Hu ACS Applied Materials, 2022 | 8 | 2022 |
| Connecting factorization and distance metric learning for social recommendations J Yu, M Gao, Y Song, Z Zhao, W Rong, Q Xiong Knowledge Science, Engineering and Management: 10th International Conference …, 2017 | 8 | 2017 |
| Probabilistic generative transformer language models for generative design of molecules L Wei, N Fu, Y Song, Q Wang, J Hu Journal of Cheminformatics 15 (1), 88, 2023 | 6 | 2023 |
| Deep learning-based prediction of contact maps and crystal structures of inorganic materials J Hu, Y Zhao, Q Li, Y Song, R Dong, W Yang, EMD Siriwardane ACS omega 8 (29), 26170-26179, 2023 | 5 | 2023 |
| Impact of the important users on social recommendation system Z Zhao, M Gao, J Yu, Y Song, X Wang, M Zhang Collaborative Computing: Networking, Applications and Worksharing: 13th …, 2018 | 5 | 2018 |
| Social recommendation based on implicit friends discovering via meta-path Y Song, M Gao, J Yu, Q Xiong 2018 IEEE 30th International Conference on Tools with Artificial …, 2018 | 4 | 2018 |
Jianjun HuProfessor of Computer Science, University of South CarolinaVerified email at cse.sc.edu
