No.

Research Fields

PhD Advisors of BICMR

Research Interests

Remarks

070101 Fundamental Mathematics

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

2

Jun Yu

1. Lie group and its representation.
2. Langlands program.

 

3

Jiping Zhang

1. Finite Group and its applications.
2. Modular representation theory and fusion system.

 

4

Number Theory

Yiwen Ding

1. Local-global compatibility in p-adic Langlands program.
2. Higher L-invariants and their relationship with p-adic L functions.

 

5

Wenwei Li

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.

 

6

Ruochuan Liu

1. p-adic Hodge theory.
2. p-adic automorphic forms.
3. p-adic Langlands program.

 

7

Liang Xiao

1. p-adic Hodge theory.
2. p-adic automorphic forms.
3. Geometry of Shimura varieties.

 

8

Algebraic Geometry

Huayi Chen

1. Arakelov geometry.
2. Diophantine geometry.
3. Geometry of numbers.

 

9

Zhiyu Tian

Rationally Connected Varieties.

 

10

Chenyang Xu

Birational Geometry:
1. Geometric and Arithmetic theory of Rationally Connected Varieties.
2. Minimal Model Program and Classification of varieties.
3. Stability.
4. Topology and Geometry of Singularities.

Temporarily not accepting students

11

Qizheng Yin

1. Moduli spaces and algebraic cycles.
2. Topology and algebraic geometry of hyper-Kähler varieties.
3. K3 categories.

 

12

Differential Geometry

Jian Ge

1. Alexandrov Geometry.
2. The critical point theory in geometry.
3. Geometry and topology of non-positively or non-negatively curved space.

 

13

Xiaobo Liu

His current research is focused on Differential Geometry and Mathematical Physics, including:
1. Gromov-Witten invariants.
2. Isoparametric submanifold.
3. Global minimal submanifold.

 

14

Jie Qing

1. Conformal Geometry and Differential Equation.
2. Differential Geometry in General Relativity.

Temporarily not accepting students

15

Gang Tian

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.

 

16

Mathematical Physics

Bohan Fang

1. Sheaf-theoretic method in symplectic geometry, Fukaya categories and Mirror Symmetry.
2. Topological recursion and Gromov-Witten invariants.

 

17

Xiaobo Liu

His current research is focused on Differential Geometry and Mathematical Physics, including:
1. Gromov-Witten invariants.
2. Isoparametric submanifold.
3. Global minimal submanifold.

 

18

Emanuel Scheidegger

1. Mirror symmetry of Calabi-Yau manifolds, Gromow-Witten invariants.
2. Topological string theory and automorphic forms, BPS invariants.
3. D-brane categories of Calabi-Yau manifolds.

Co-advise with Xiaobo Liu

19

Gang Tian

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.

 

20

Xiaomeng Xu

1. Irregular singularities and representation theory.

2. Poisson geometry and quantization.                                             

 

21

Topology

Yi Liu

1. Topology of 3-manifolds.
2. Hyperbolic geometry.

 

22

Yi Xie

1. Knots and links in 3-manifolds.

2. Gauge theory.                                                                                

 

23

Wenyuan Yang

1. Non-positively curved spaces and groups.
2. Random walk on groups.

 

24

PDE/Analysis

Yan Guo

1. Partial Differential Equations in kinetic theory. 
2. Stability in fluid.

Temporarily not accepting students

25

Zhiqiang Li

1. Dynamical systems.

2. Metric geometry.
3. Complex analysis. 

 

26

Baoping Liu

1. Low regularity solution for Chern-Simons-Schrodinger equation.
2. Long time dynamics and global center stable manifold.

 

27

Shiwu Yang

1. Nonlinear wave equations.
2. Einstein's equation.

 

070102 Computational Mathematics  

28

Computational Mathematics and Applied Mathematics

Bin Dong

1. Deep learning from applied mathematics perspective.
2. Inverse Problem in image processing.
3. Biomedical imaging analysis.

 

29

Zaiwen Wen

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.

 

30

Lei Zhang

1. Numerical algorithms and applications of rare events and its saddle-point problems.
2. Computational materials science.
3. Computational systems biology.

 

31

Zhennan Zhou

1. Non-adiabatic phenomenon in quantum mechanics and theoretical chemistry.
2. Analysis and computation of semi-classical Schödinger equations.
3. Analysis and computation of Chemotaxis and tumor growth models, neuron network models, etc.

 

070103/071400 Probability and Statistics

32

Probability

Hao Ge

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.

 

33

Xinyi Li

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.

 

34

Statistics

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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