Rong Ge

Nanjing Audit University — China

Computer Science · Physical Sciences

39h-index6.9kcitations202works0.92yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Parallel Computing and Optimization Techniques(69), Cloud Computing and Resource Management(45), Tensor decomposition and applications(33), Distributed and Parallel Computing Systems(31), Advanced Data Storage Technologies(31)

Publications202 total

GALE: Leveraging Heterogeneous Systems for Efficient Unstructured Mesh Data Analysis
IEEE Transactions on Visualization and Computer Graphics·2025
HELM: Characterizing Unified Memory Accesses to Improve GPU Performance under Memory Oversubscription
2025· 1 citedOpen Access
AskHPC: A ChatBot for High Performance Computing User Support
2025· 1 citedOpen Access
Is In-Context Learning Feasible for HPC Performance Autotuning?
2025
Design and Practice of the "Ideological and Political Education in Courses" Teaching System for Maritime English
International Journal of Education and Humanities·2025Open Access
Mapping Annual Forest Disturbance from 1986 to 2021 at 30-M Resolution in China Using the Modified Cold Algorithm
SSRN Electronic Journal·2025· 1 citedOpen Access
Research on the Teaching Mode of Maritime English in Colleges Empowered by Educational Digitalization
Frontiers in Humanities and Social Sciences·2024Open Access
Vendor-neutral and Production-grade Job Power Management in High Performance Computing
2024· 3 cited
Towards resilient and energy efficient scalable Krylov solvers
Parallel Computing·2024· 1 cited
Thermal Behaviors in Liquid Immersion Cooling under Various Workloads: a Case Study
2024· 1 cited
Multi-Parameter Control Anti-Jamming Algorithm for Wireless Communication Systems Based on Linear–Quadratic Regulator
Applied Sciences·2024Open Access
Method for Recognition of Communication Interference Signals under Small-Sample Conditions
Applied Sciences·2024· 1 citedOpen Access
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods
arXiv (Cornell University)·2024Open Access
How Does Gradient Descent Learn Features -- A Local Analysis for Regularized Two-Layer Neural Networks
arXiv (Cornell University)·2024Open Access
Shared Virtual Memory: Its Design and Performance Implications for Diverse Applications
2024· 5 citedOpen Access
Rapid jamming recognition based on Q-learning sampling under resource constraints
2024
Linear Transformers are Versatile In-Context Learners
arXiv (Cornell University)·2024Open Access
Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input
arXiv (Cornell University)·2024Open Access
For Better or For Worse? Learning Minimum Variance Features With Label Augmentation
arXiv (Cornell University)·2024Open Access
Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input
2024
page 1 of 11Next →

Frequent Co-authors

Sham M. Kakade(12), Kirk W. Cameron(11), Xizhou Feng(9), Sanjeev Arora(7), Animashree Anandkumar(6), Daniel Hsu(6), Chi Jin(4), Shuaiwen Leon Song(4), Martin Ester(4), Matus Telgarsky(3), Ankur Moitra(3), Anima Anandkumar(3), Praneeth Netrapalli(3), Furong Huang(2), Yuan Yang(2), Wu-chun Feng(2), Majid Janzamin(2), Tyler Allen(2), Byron J. Gao(2), Zengjian Hu(2)