Jingge Zhu
Scholar

Jingge Zhu

Google Scholar ID: 0pC0S3IAAAAJ
University of Melbourne
Information TheoryCommunication SystemsStatistical Learning Theory
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
381
 
H-index
11
 
i10-index
12
 
Publications
20
 
Co-authors
12
list available
Contact
No contact links provided.
Publications
12 items
Online Prediction of Stochastic Sequences with High Probability Regret Bounds
2026
Cited
0
Block-Sample MAC-Bayes Generalization Bounds
2026
Cited
0
Beyond Identification: Computing Boolean Functions via Channels
2026
Cited
0
A PAC-Bayesian Analysis of Channel-Induced Degradation in Edge Inference
2026
Cited
0
A Framework for Adaptive Stabilisation of Nonlinear Stochastic Systems
2025
Cited
0
Semi-Supervised Learning under General Causal Models
2025
Cited
0
Graph Neural Networks for Resource Allocation in Interference-limited Multi-Channel Wireless Networks with QoS Constraints
2025
Cited
0
A DPI-PAC-Bayesian Framework for Generalization Bounds
2025
Cited
0
Resume (English only)
Co-authors
12 total
Michael Gastpar
Michael Gastpar
Professor, Ecole Polytechnique Fédérale (EPFL), Switzerland
Jamie Evans
Jamie Evans
University of Melbourne
Jonathan Manton
Jonathan Manton
Future Generation Professor, University of Melbourne
Uwe Aickelin
Uwe Aickelin
Head of School, School of Computing and Information Systems, The University of Melbourne
Co-author 5
Co-author 5
Ye Pu
Ye Pu
University of Melbourne
Sung Hoon Lim
Sung Hoon Lim
Hallym University
Kannan Ramchandran
Kannan Ramchandran
Professor of Electrical Engineering and Computer Science, UC Berkeley