Zenan Ling

According to our database1, Zenan Ling authored at least 14 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2022
Global Convergence of Over-parameterized Deep Equilibrium Models.
CoRR, 2022

Exploring Image Regions Not Well Encoded by an INN.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Brown Measure Based Spectral Distribution Analysis for Spatial-Temporal Localization of Cascading Events in Power Grids.
IEEE Trans. Smart Grid, 2021

A New Approach of Exploiting Self-Adjoint Matrix Polynomials of Large Random Matrices for Anomaly Detection and Fault Location.
IEEE Trans. Big Data, 2021

Optimization Induced Equilibrium Networks.
CoRR, 2021

2020
Spatio-Temporal Correlation Analysis of Online Monitoring Data for Anomaly Detection and Location in Distribution Networks.
IEEE Trans. Smart Grid, 2020

2019
Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks.
CoRR, 2019

Spectrum Concentration in Deep Residual Learning: A Free Probability Approach.
IEEE Access, 2019

2018
Massive Streaming PMU Data Modelling and Analytics in Smart Grid State Evaluation based on Multiple High-Dimensional Covariance Test.
IEEE Trans. Big Data, 2018

Spectrum concentration in deep residual learning: a free probability appproach.
CoRR, 2018

An Accurate and Real-time Self-blast Glass Insulator Location Method Based On Faster R-CNN and U-net with Aerial Images.
CoRR, 2018

A Novel Data-Driven Situation Awareness Approach for Future Grids - Using Large Random Matrices for Big Data Modeling.
IEEE Access, 2018

2017
Individual Recognition in Schizophrenia using Deep Learning Methods with Random Forest and Voting Classifiers: Insights from Resting State EEG Streams.
CoRR, 2017

2016
Designing for Situation Awareness of Future Power Grids: An Indicator System Based on Linear Eigenvalue Statistics of Large Random Matrices.
IEEE Access, 2016


  Loading...