132 citations · 132 across the 8 of their papers we have counts for
8 papers
AI Surrogate Modeling for Real-Time Tokamak Equilibrium Prediction: Benchmarking Neural Architectures and Validation on EXL-50U
Guoyang Shi, Zitong Zhang, Siqi Ding +5
Fast and reliable plasma equilibrium prediction is essential for real-time tokamak operation and control, but conventional Grad-Shafranov (GS) solvers are often too costly for real…
Physics-informed Neural Operator Learning for Nonlinear Grad-Shafranov Equation
Siqi Ding, Zitong Zhang, Guoyang Shi +7
As artificial intelligence emerges as a transformative enabler for fusion energy commercialization, fast and accurate solvers become increasingly critical. In magnetic confinement…
Differentiable Sparse Identification of Lagrangian Dynamics
Zitong Zhang, Hao Sun
Data-driven discovery of governing equations from data remains a fundamental challenge in nonlinear dynamics. Although sparse regression techniques have advanced system identificat…
Top2Pano: Learning to Generate Indoor Panoramas from Top-Down View
Zitong Zhang, Suranjan Gautam, Rui Yu
Generating immersive 360° indoor panoramas from 2D top-down views has applications in virtual reality, interior design, real estate, and robotics. This task is challenging due to t…
Vision-based Discovery of Nonlinear Dynamics for 3D Moving Target
Zitong Zhang, Yang Liu, Hao Sun
Data-driven discovery of governing equations has kindled significant interests in many science and engineering areas. Existing studies primarily focus on uncovering equations that…
Simultaneous clustering and estimation of additive shape invariant models for recurrent event data
Zitong Zhang, Shizhe Chen
Technological advancements have enabled the recording of spiking activities from large neuron ensembles, presenting an exciting yet challenging opportunity for statistical analysis…
Solving the Travelling Thief Problem based on Item Selection Weight and Reverse Order Allocation
Lei Yang, Zitong Zhang, Xiaotian Jia +3
The Travelling Thief Problem (TTP) is a challenging combinatorial optimization problem that attracts many scholars. The TTP interconnects two well-known NP-hard problems: the Trave…
Choosing Wavelet Methods, Filters, and Lengths for Functional Brain Network Construction
Zitong Zhang, Qawi K. Telesford, Chad Giusti +2
Wavelet methods are widely used to decompose fMRI, EEG, or MEG signals into time series representing neurophysiological activity in fixed frequency bands. Using these time series,…