Tingyang Xu, a Senior Researcher at Tencent AI Lab's AI for Science Center, earned his Ph.D. from The University of Connecticut and his Bachelor's degree from Shanghai Jiaotong University. His research encompasses deep learning applications for de novo drug design, molecular property prediction, and molecular dynamics simulation, and he has significantly contributed to the development of advanced graph neural networks for tasks like subgraph recognition and node classification. His work has been published in top-tier data mining and machine learning conferences, including NeurIPS, ICML, SIGKDD, AAAI, VLDB, the Journal of Parallel and Distributed Computing (JPDC), Internet of Things (IoT), and Annuals of Surgery. Additionally, Dr. Xu has served as a reviewer for prestigious conferences and journals, including ICML, NeurIPS, KDD, WWW, AAAI, PR, and TKDE, and as the Industrial Track Chair for BIBM 2019.
Télécharger le livre :  Deep Learning in Drug Design

Deep Learning in Drug Design: Methods and Applications summarizes the most recent methods, applications, and technological advances of deep learning for drug design, which mainly consists of molecular representations, the architectures of deep learning, geometric deep...
Editeur : Academic Press
Parution : 2025-10-01

Format(s) : epub sans DRM
148,74

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