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PhD Advisors and Their Research Interests of Beijing International Center for Mathematical Research |
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No. |
Research Fields |
PhD Advisors of BICMR |
Research Interests |
Remarks |
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070101 Fundamental Mathematics |
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1 |
Algebra |
Xiang Fu |
1. The distribution of roots in the root systems of infinite reflection groups and Coxeter groups, and related geometric questions. 2. The rigidity question of Coxeter groups (the classification of Coxeter groups which can be uniquely determined by the associated Dynkin diagrams). 3. Topological questions on the Cayley graphs of infinite Coxeter groups. 4. The classification of Infinite Coxeter groups. 5. The application of Coxeter group theory in physics and beyond. |
Co-advise with Ruochuan Liu |
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2 |
1. Lie group and its representation. 2. Langlands program. |
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3 |
Jiping Zhang |
1. Finite Group and its applications. 2. Modular representation theory and fusion system. |
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4 |
Number Theory |
1. Local-global compatibility in p-adic Langlands program. 2. Higher L-invariants and their relationship with p-adic L functions. |
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5 |
1. Mathematical problems and methods related to Langlands program. 2. Representation theory of p-adic reductive group and real reductive group. 3. Trace Formula and its applications. |
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6 |
1. p-adic Hodge theory. 2. p-adic automorphic forms. 3. p-adic Langlands program. |
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7 |
1. p-adic Hodge theory. 2. p-adic automorphic forms. 3. geometry of Shimura varieties. |
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8 |
1. Arakelov geometry. 2. Diophantine geometry and Algebraic dynamics. 3. Shimura varieties and L-functions. |
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9 |
Algebraic Geometry |
Fumiaki Suzuki |
1. Algebraic cycles. 2. Rationality questions. |
Co-advise with Zhiyu Tian |
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10 |
1. Rationally Connected Varieties. |
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11 |
1. Arithmetic Dynamics and Related Topics in Algebraic Geometry. |
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12 |
1. Moduli spaces and algebraic cycles. 2. Topology and algebraic geometry of hyper-Kähler varieties. 3. K3 categories. |
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13 |
Differential Geometry |
His current research is focused on Differential Geometry and Mathematical Physics, including: 1. Gromov-Witten invariants. 2. Isoparametric submanifold. 3. Global minimal submanifold. |
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14 |
Jie Qing |
1. Conformal Geometry and Differential Equation. 2. Differential Geometry in General Relativity. |
Temporarily not accepting students |
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15 |
His current research is focused on Geometric Analysis and Symplectic Geometry, including: 1. Geometric Equation and its analysis. 2. Ricci Flow and its applications. 3. Complex geometry. 4. Symplectic geometry and symplectic topological invariants. |
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16 |
Mathematical Physics |
K-theory, index theory, operator algebras, and differential geometry in: 1. Topological phases of matter. 2. T-dualities in string condensed matter and string theory. 3. Applications of coarse geometry and index theory. |
Co-advise with Xiaobo Liu |
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17 |
1. Sheaf-theoretic method in symplectic geometry, Fukaya categories and Mirror Symmetry. 2. Topological recursion and Gromov-Witten invariants. |
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18 |
Guillaume Baverez |
1. Random geometry. 2. Conformal field theory. 3. Harmonic analysis of infinite dimensional Lie groups. 4. Moduli spaces. |
Co-advise with Xin Sun |
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19 |
His current research is focused on Differential Geometry and Mathematical Physics, including: 1. Gromov-Witten invariants. 2. Isoparametric submanifold. 3. Global minimal submanifold. |
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20 |
Emanuel Scheidegger |
1. Mirror symmetry of Calabi-Yau manifolds, Gromov-Witten invariants. 2. Topological string theory and automorphic forms, BPS invariants. 3. D-brane categories of Calabi-Yau manifolds. |
Co-advise with Xiaobo Liu |
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21 |
Xin Sun |
1. Random geometry. 2. Statistical physics. 3. Quantum field theory. |
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22 |
His current research is focused on Geometric Analysis and Symplectic Geometry, including: 1. Geometric Equation and its analysis. 2. Ricci Flow and its applications. 3. Complex geometry. 4. Symplectic geometry and symplectic topological invariants. |
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23 |
Xiaomeng Xu |
1. Irregular singularities and representation theory. 2. Poisson geometry and quantization. |
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24 |
Topology |
1. Topology of 3-manifolds. 2. Hyperbolic geometry. |
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25 |
Yi Xie |
1. Knots and links in 3 dimensional manifolds. 2. Gauge theory. |
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26 |
1. Non-positively curved spaces and groups. 2. Random walk on groups. |
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27 |
PDE/Analysis |
Albert Ai |
1. Low regularity well-posedness for quasilinear PDEs,. 2. Water waves and fluid models. 3. Strichartz estimates and harmonic analysis. |
Co-advise with Baoping Liu |
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28 |
1. Dynamical systems. 2. Mathematical Physics and Spectral Theory. |
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29 |
1. Dynamical systems. 2. Metric geometry. 3. Complex analysis. |
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30 |
1. Low regularity solution for Chern-Simons-Schrodinger equation. 2. Long time dynamics and global center stable manifold. |
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31 |
1. The mean field limit for large systems of interacting particles. 2. Analysis of kinetic equations. |
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32 |
1. Free boundary problems in partial differential equations. 2. Equations of fluid dynamics. |
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33 |
Weijun Xu |
1. Stochastic Analysis. 2. Stochastic PDEs. |
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34 |
1. Nonlinear wave equations. 2. Einstein's equation. |
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35 |
Combinatorics |
1. Coxeter groups and Bruhat orders. 2. Schubert varieties and related varieties. 3. Polytopes and hyperplane arrangements. 4. Enumerative combinatorics. |
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36 |
Mathematical Logic |
1. Model theory. 2. Topological dynamics. |
Co-advise with Wenyuan Yang |
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070102 Computational Mathematics |
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37 |
Computational Mathematics and Applied Mathematics |
Dong An |
1. Quantum algorithms and applications in scientific computing, including linear systems of equations and differential equations. 2. Quantum simulation algorithms. 3. Adiabatic quantum computing. |
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38 |
1. Deep learning from applied mathematics perspective. 2. Inverse Problem in image processing. 3. Biomedical imaging analysis. |
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39 |
1. Bayesian inverse problems and uncertainty quantification. 2. Scientific machine learning. 3. Multiphysics simulation. |
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40 |
1. Algorithms and theories for non-convex, nonlinear and non-smooth optimization. 2. Algorithms and theories for optimization on manifold. 3. Machine learning: algorithms and theories for deep learning and reinforcement learning. |
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41 |
1. Numerical algorithms and applications of rare events and its saddle-point problems. 2. Computational materials science. 3. Computational systems biology. |
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070103/071400 Probability and Statistics |
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42 |
Probability |
1. Stochastic theory of nonequilibrium thermodynamics and statistical mechanics. 2. Nonequilibrium landscape theory and rate formulas for single-molecule and single-cell biology. 3. Stochastic modeling in systems biology and biophysical chemistry. 4. Statistical analysis of single-cell big data. |
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43 |
Discrete stochastic models with significance in statistical physics, including: 1. Fractal Properties of Random walk and Brownian motion. 2. Percolation. 3. Random interlacements and related models. |
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44 |
1. Stochastic differential equations. 2. Large deviation estimates. |
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45 |
Xin Sun |
1. Random geometry. 2. Statistical physics. 3. Quantum field theory. |
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46 |
Weijun Xu |
1. Stochastic Analysis. 2. Stochastic PDEs. |
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47 |
Statistics |
Yijuan Hu |
1. Biostatistics. 2. Bioinformatics. 3. Microbiome statistics. 4. Statistical genetics. |
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48 |
Molei Liu |
1. Data Fusion 2. Semi-supervised and Transfer Learning 3. Semi-parametric Theory 4. Distributionally Robust Optimization 5. Electronic Health Record Data |
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49 |
Xiaohua Zhou |
1. Clinical experiment design and data statistics. 2. Causal inference. 3. Analysis and modeling of big data. 4. Analysis of missing data. 5. Evaluation of artificial intelligence-based CAD systems. 6. Machine learning and artificial intelligence. |
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