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I am a Principal Research Manager at Microsoft Research working at the intersection of deep learning and materials discovery. I am interested in solving the global sustainability challenges by combining innovations from deep learning, large-scale molecular simulation, materials science. I work with ...
Tian Xie, Chaoyang He, Xiang Ren, Cyrus Shahabi, C.-C. Jay Kuo L-BGNN: Layerwise Trained Bipartite Graph Neural Networks IEEE Transactions on Neural Networks and Learning Systems ( TNNLS ), 2022
T Xie, JC Grossman. Physical review letters 120 (14), 145301. , 2018. 1974. 2018. Machine learning enabled computational screening of inorganic solid electrolytes for suppression of dendrite formation in lithium metal anodes. Z Ahmad, T Xie, C Maheshwari, JC Grossman, V Viswanathan. ACS central science 4 (8), 996-1006.
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May 6, 2024 · Tian Xie is a research scientist at Meta AI where he is working on to deploy and monetize the state-of-the-art AI models in Meta products. His research interests are in machine learning, graph learning, and computer vision. He got his Ph.D. from University of Southern California in 2022, and a B.S. from Fudan University in 2017.
Dec 18, 2022 · Tian Xie is a postdoctoral associate at MIT, working on machine learning and materials science. His publications include journal and conference papers on topics such as polymer electrolytes, graph networks, crystal generation, and solar cells.