June Zhang

Orcid: 0000-0002-4578-5759

According to our database1, June Zhang authored at least 29 papers between 2012 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
REAL: Response Embedding-based Alignment for LLMs.
CoRR, 2024

mRNA2vec: mRNA Embedding with Language Model in the 5'UTR-CDS for mRNA Design.
CoRR, 2024

Out-of-Distribution Detection using Maximum Entropy Coding.
CoRR, 2024

HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding.
Proceedings of the ACM on Web Conference 2024, 2024

2023
Searching for explanations: testing social scientific methods in synthetic ground-truthed worlds.
Comput. Math. Organ. Theory, March, 2023

Investigating the Effect of Hard Negative Sample Distribution on Contrastive Knowledge Graph Embedding.
CoRR, 2023

2022
Out-of-Distribution Detection using BiGAN and MDL.
CoRR, 2022

2021
How News Evolves? Modeling News Text and Coverage using Graphs and Hawkes Process.
CoRR, 2021

Graph Compression with Application to Model Selection.
CoRR, 2021

Graph Coding for Model Selection and Anomaly Detection in Gaussian Graphical Models.
Proceedings of the IEEE International Symposium on Information Theory, 2021

2020
Differential Description Length for Hyperparameter Selection in Supervised Learning.
Proceedings of the International Symposium on Information Theory and Its Applications, 2020

2019
Differential Description Length for Hyperparameter Selection in Machine Learning.
CoRR, 2019

2018
Cascading Edge Failures: A Dynamic Network Process.
IEEE Trans. Netw. Sci. Eng., 2018

How Consumer Empathy Assist Power Grid in Demand Response.
CoRR, 2018

Random Energy-Efficient Models for Sustainable Facility Location Subject to Carbon Emission, Economical, Capacitated and Regional Constraints.
IEEE Access, 2018

Coding of Graphs with Application to Graph Anomaly Detection.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Who is More at Risk in Heterogenous Networks?
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Greedy Algorithm with Approximation Ratio for Sampling Noisy Graph Signals.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Contact process with exogenous infection and the scaled SIS process.
J. Complex Networks, 2017

2016
Finding unique dense communities.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Spectral radius and network processes with spontaneous infection/failure rate.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015
Role of subgraphs in epidemics over finite-size networks under the scaled SIS process.
J. Complex Networks, 2015

Multilevel distributed approach for DC Optimal Power Flow.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Individual vs. network preferences.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
Diffusion in Social Networks as SIS Epidemics: Beyond Full Mixing and Complete Graphs.
IEEE J. Sel. Top. Signal Process., 2014

Subgraph density and epidemics over networks.
Proceedings of the IEEE International Conference on Acoustics, 2014

Dynamic bond percolation in networks.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013
Threshold behavior of epidemics in regular networks.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Accounting for topology in spreading contagion in non-complete networks.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012


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