SEMINARS
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P53 Dynamics and Cell Fate Decision
- Feng Liu, Nanjing University
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2019.11.26, 14:00-15:00
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Reducing Blood Viscosity, Suppressing Turbulence with Magnetic Field to Prevent Heart Attack and Stroke
- Rongjia Tao, Temple University
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2019.11.22, 10:00-11:00
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Int Deep: A Deep Learning Initialized Iterative Method for Nonlinear Problems
- Jianguo Huang, School of Mathematical Sciences, and LSC-MOE, Shanghai Jiao Tong University
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2019.11.20, 12:20-13:50
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Mathematical Modeling of Circadian Rhythms
- Ling Yang,Soochow University
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2019.11.19, 14:00-15:00
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New Universe and New World: Interpretation of the 2019 Nobel Prize in Physics
- Pengjie Zhang, School of Physics and Astronomy, Shanghai Jiao Tong University
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2019.11.13, 16:00-17:30
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Theoretical Understanding of Stochastic Gradient Descent in Deep Learning
- Zhanxing Zhu, Peking University
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2019.11.13, 12:20-13:50
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The General Principle for Constructing Split Contraction Algorithm for Convex Optimization
- Bingsheng He,Southern University of Science and Technology
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2019.11.12, 14:00-15:00
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Oxytocinergic Modulation of Midbrain Dopamine Systems
- Lei Xiao, Fudan University
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2019.11.08, 10:30-11:30
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Hopf Bifurcation for Artificial Compressible Systems
- Yoshiyuki Kagei, Tokyo Institute of Technology
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2019.11.06, 16:00-17:00
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Past and Today of Lithium Ion Battery
- Jun Yang, School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University
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2019.11.06, 16:00-17:30
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Regularized Neural Networks and Convex Shape Priori for Image Segmentation
- Xue-Cheng Tai ，Hongkong Baptist University
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2019.11.06, 09:00-10:00
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Introductory Nuclear Physics
- Ramon Wyss, KTH Royal Institute of Technology
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2019.10.28, 16:00-17:30
