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Lizhi LIAO, Prof
Professor
,
Department of Mathematics
Director
,
Centre for Mathematical Imaging and Vision
Director
,
Peking University-HKBU Joint Research Institute for Applied Mathematics
https://orcid.org/0000-0002-0588-7953
Email
liliaohkbu.eduhk
1995 …
2021
Research activity per year
Overview
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Network
Projects / Grants
(6)
Research Output
(82)
Similar Scholars
(6)
Supervised Work
(8)
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Dive into the research topics where Lizhi LIAO is active. Topic labels come from the works of this scholar. Together they form a unique fingerprint.
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Mathematics
Monotone Variational Inequalities
100%
Contraction Method
68%
Variational Inequalities
63%
Optimization Problem
59%
Convex Programming
56%
Linear Discriminant Analysis
51%
Trajectory
49%
Global Convergence
48%
Affine Scaling
46%
Neural Networks
41%
Variational Inequality Problem
38%
Iteration
37%
Projection Method
36%
Unconstrained Optimization
35%
Nonlinear Complementarity Problem
34%
Ordinary differential equation
33%
Adaptive Method
32%
Numerical Results
32%
Linear Complementarity Problem
31%
Interior
30%
Interior Point
30%
Linear programming
27%
Alternating Direction Method
27%
Smoothing Newton Method
27%
Optimal Solution
26%
Inexact Methods
26%
Neural Network Model
26%
Gradient
25%
Convergence Rate
25%
Augmented Lagrangian Method
24%
Conjugate Gradient Method
23%
Prediction
23%
Discriminant Analysis
22%
Reformulation
22%
Nonconvex Optimization
22%
Local Convergence
21%
Converge
21%
Decomposition Method
19%
Stationary point
19%
Gradient Flow
19%
Eigenvalue Problem
18%
Linearly
18%
Proximal Point Algorithm
18%
Newton-type Methods
17%
Monotone
17%
Continuation
16%
Extremes
16%
Objective function
16%
Constrained Optimization
16%
Framework
16%
Engineering & Materials Science
Neural networks
67%
Discriminant analysis
60%
Convex optimization
60%
Ordinary differential equations
47%
Trajectories
44%
Linear programming
38%
Conjugate gradient method
35%
Dynamical systems
34%
Constrained optimization
28%
Quadratic programming
24%
Asymptotic stability
23%
Iterative methods
19%
Gradient methods
16%
Experiments
16%
Newton-Raphson method
15%
Nonlinear equations
14%
Groundwater
13%
Decomposition
13%
Initial value problems
12%
Hilbert spaces
12%
Aquifers
12%
Quality management
11%
Hamiltonians
11%
Dimensionality reduction
10%
Recurrent neural networks
9%
Set theory
9%
Dynamic programming
9%
Computational efficiency
8%
Relaxation
8%
Linear equations
7%
Lie groups
6%
Economics
6%
Lyapunov functions
6%
Remediation
5%
Runge Kutta methods
5%
Function evaluation
5%
Computer simulation
5%
