Publication SAMF: a Self-adaptive Protein Modeling Framework Wenze Ding, Qijiang Xu, Siyuan Liu, Tong Wang, Bin Shao, Haipeng Gong, Tie-Yan Liu Bioinformatics | May 2021 Project
Publication CopulaNet: Learning residue co-evolution directly from multiple sequence alignment for protein structure prediction Fusong Ju, Jianwei Zhu, Bin Shao, Lupeng Kong, Tie-Yan Liu, Wei-Mou Zheng, Dongbo Bu Nature Communications | May 2021, Vol 12(1): pp. 2535-2535 Project
Publication Deep learning for prediction of the air quality response to emission changes Jia Xing, Shuxin Zheng, Dian Ding, James T Kelly, Shuxiao Wang, Siwei Li, Tao Qin, Mingyuan Ma, Zhaoxin Dong, Carey J. Jang, Yun Zhu, Haotian Zheng, Lu Ren, Tie-Yan Liu, Jiming Hao Environmental Science & Technology | June 2020, Vol 54(14): pp. 8589-8600
Publication Constrained Graph Variational Autoencoders for Molecule Design Qi Liu, Miltos Allamanis, Marc Brockschmidt, Alexander Gaunt NIPS 2018 | December 2018 Project Project
Publication Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties. Tian Xie, Jeffrey Grossman Physical Review Letters | April 2018, Vol 120 14: pp. 145301
