activity
20152021
most citedImprovement of training set structure in fusion data cleaning using Time-Domain Global Similarity method

4 citations · 10 across the 5 of their papers we have counts for

collaborators

9 papers

physics.plasm-ph2021

High Order Explicit Lorentz Invariant Volume-preserving Algorithms for Relativistic Dynamics of Charged Particles

Yulei Wang, Jian Liu, Yang He

Lorentz invariant structure-preserving algorithms possess reference-independent secular stability, which is vital for simulating relativistic multi-scale dynamical processes. The s…

physics.plasm-ph2018

Stochastic simulation of collisions using high-order weak convergence algorithms

Wentao Wu, Jian Liu, Hong Qin

Electron collisions, described by stochastic differential equations (SDEs), were simulated using a second-order weak convergence algorithm. Using stochastic analysis, we constructe…

physics.plasm-ph2018

The role of magnetic moment in the collisionless pitch-angle scattering of runaway electrons

Chang Liu, Hong Qin, Eero Hirvijoki +2

Recently, the validity of the guiding-center approach to model relativistic runaway electrons in tokamaks has been challenged by full-orbit simulations that demonstrate the breakdo…

physics.plasm-ph20171 cited

On the physical mechanism of three-wave instabilities -- resonance between positive- and negative-action modes

Ruili Zhang, Hong Qin, Yuan Shi +2

Three-wave instability is a fundamental process that has important applications in many branches of physics. It is widely accepted that the resonant condition $ω_{z}\approxω_{x}+ω_…

physics.class-ph20171 cited

A lattice Maxwell system with discrete space-time symmetry and local energy-momentum conservation

Jianyuan Xiao, Hong Qin, Yuan Shi +2

A lattice Maxwell system is developed with gauge-symmetry, symplectic structure and discrete space-time symmetry. Noether's theorem for Lie group symmetries is generalized to discr…

cs.LG20174 cited

Improvement of training set structure in fusion data cleaning using Time-Domain Global Similarity method

Jian Liu, Ting Lan, Hong Qin

Traditional data cleaning identifies dirty data by classifying original data sequences, which is a classimbalanced problem since the proportion of incorrect data is much less th…