activity
20152025
most citedSES: Bridging the Gap Between Explainability and Prediction of Graph Neural Networks

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

SRPO: A Cross-Domain Implementation of Large-Scale Reinforcement Learning on LLM

Xiaojiang Zhang, Jinghui Wang, Zifei Cheng +14

Recent advances of reasoning models, exemplified by OpenAI's o1 and DeepSeek's R1, highlight the significant potential of Reinforcement Learning (RL) to enhance the reasoning capab…

cs.LG20241 cited

SES: Bridging the Gap Between Explainability and Prediction of Graph Neural Networks

Zhenhua Huang, Kunhao Li, Shaojie Wang +3

Despite the Graph Neural Networks' (GNNs) proficiency in analyzing graph data, achieving high-accuracy and interpretable predictions remains challenging. Existing GNN interpreters…

physics.plasm-ph2024

Numerical dissipation induced by the low-pass filtering in nonlinear gyrokinetic simulations

Zihao Wang, Shaojie Wang

De-aliasing is an essential procedure for eliminating the aliasing error in nonlinear simulations, such as nonlinear gyrokinetic turbulence simulations. An ideal approach to de-ali…

physics.plasm-ph2023

Evolution of self-organized structure, the internal transport barrier in the ion-temperature-gradient driven gyrokinetic turbulence

S. Wang, Z. Wang, T. Wu

Understanding the self-organization of the most promising internal transport barrier in fusion plasmas needs a long-time nonlinear gyrokinetic global simulation. The Neighboring Eq…

physics.plasm-ph2015

Spontaneous toroidal rotation, anomalous radial particle flux, and the electron-ion asymmetric anomalous viscous damping

Shaojie Wang

AA spontaneous toroidal rotation due to the electron-ion asymmetric anomalous viscous damping and the turbulent radial particle flux has been found, which explains the experimental…