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2020 – today
- 2024
[c14]Honggen Zhang
, June Zhang, Igor Molybog:
HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding. WWW 2024: 2116-2127- [i14]Mojtaba Abolfazli, Mohammad Zaeri Amirani, Anders Høst-Madsen, June Zhang, Andras Bratincsak:
Out-of-Distribution Detection using Maximum Entropy Coding. CoRR abs/2404.17023 (2024) - [i13]Honggen Zhang, Xiangrui Gao, June Zhang, Lipeng Lai:
mRNA2vec: mRNA Embedding with Language Model in the 5'UTR-CDS for mRNA Design. CoRR abs/2408.09048 (2024) - [i12]Honggen Zhang, Igor Molybog, June Zhang, Xufeng Zhao:
REAL: Response Embedding-based Alignment for LLMs. CoRR abs/2409.17169 (2024) - 2023
- [j6]Aurora C. Schmidt, Christopher J. Cameron, Corey Lowman, Joshua Brulé, Amruta Deshpande, Seyyed A. Fatemi, Vladimir Barash, Ariel M. Greenberg, Cash J. Costello, Eli Sherman, Rohit Bhattacharya, Liz McQuillan, Alexander Perrone, Yanni Kouskoulas, Clay Fink, June Zhang, Ilya Shpitser, Michael W. Macy:
Searching for explanations: testing social scientific methods in synthetic ground-truthed worlds. Comput. Math. Organ. Theory 29(1): 156-187 (2023) - [i11]Honggen Zhang, June Zhang:
Investigating the Effect of Hard Negative Sample Distribution on Contrastive Knowledge Graph Embedding. CoRR abs/2305.10563 (2023) - 2022
- [i10]Mojtaba Abolfazli, Mohammad Zaeri Arimani, Anders Høst-Madsen, June Zhang, Andras Bratincsak:
Out-of-Distribution Detection using BiGAN and MDL. CoRR abs/2206.01851 (2022) - 2021
- [c13]Mojtaba Abolfazli, Anders Høst-Madsen, June Zhang, Andras Bratincsak:
Graph Coding for Model Selection and Anomaly Detection in Gaussian Graphical Models. ISIT 2021: 2708-2713 - [i9]Mojtaba Abolfazli, Anders Høst-Madsen, June Zhang, Andras Bratincsak:
Graph Coding for Model Selection and Anomaly Detection in Gaussian Graphical Models. CoRR abs/2102.02431 (2021) - [i8]Mojtaba Abolfazli, Anders Høst-Madsen, June Zhang, Andras Bratincsak:
Graph Compression with Application to Model Selection. CoRR abs/2110.00701 (2021) - [i7]Honggen Zhang, June Zhang:
How News Evolves? Modeling News Text and Coverage using Graphs and Hawkes Process. CoRR abs/2112.03008 (2021) - 2020
- [c12]Mojtaba Abolfazli, Anders Høst-Madsen, June Zhang:
Differential Description Length for Hyperparameter Selection in Supervised Learning. ISITA 2020: 592-596
2010 – 2019
- 2019
- [i6]Anders Høst-Madsen, Mojtaba Abolfazli, June Zhang:
Differential Description Length for Hyperparameter Selection in Machine Learning. CoRR abs/1902.04699 (2019) - 2018
- [j5]Hongfei Jia, Yingjun Xu, Guangdong Tian, Mengchu Zhou, June Zhang, Honghao Zhang:
Random Energy-Efficient Models for Sustainable Facility Location Subject to Carbon Emission, Economical, Capacitated and Regional Constraints. IEEE Access 6: 72757-72765 (2018) - [j4]June Zhang, José M. F. Moura:
Cascading Edge Failures: A Dynamic Network Process. IEEE Trans. Netw. Sci. Eng. 5(4): 288-300 (2018) - [c11]June Zhang, José M. F. Moura:
Who is More at Risk in Heterogenous Networks? ICASSP 2018: 4174-4178 - [c10]Changlong Wu, Wenxin Chen, June Zhang:
Greedy Algorithm with Approximation Ratio for Sampling Noisy Graph Signals. ICASSP 2018: 4654-4658 - [c9]Anders Høst-Madsen, June Zhang:
Coding of Graphs with Application to Graph Anomaly Detection. ISIT 2018: 1829-1833 - [i5]Anders Høst-Madsen, June Zhang:
Coding of Graphs with Application to Graph Anomaly Detection. CoRR abs/1804.02469 (2018) - [i4]Mojtaba Abolfazli, June Zhang, Anthony Kuh:
How Consumer Empathy Assist Power Grid in Demand Response. CoRR abs/1807.07170 (2018) - 2017
- [j3]June Zhang, José M. F. Moura:
Contact process with exogenous infection and the scaled SIS process. J. Complex Networks 5(5): 712-733 (2017) - 2016
- [c8]June Zhang, José M. F. Moura:
Spectral radius and network processes with spontaneous infection/failure rate. GlobalSIP 2016: 370-374 - [c7]June Zhang, José M. F. Moura:
Finding unique dense communities. ICASSP 2016: 4109-4113 - [i3]June Zhang, José M. F. Moura:
Cascading Edge Failures: A Dynamic Network Process. CoRR abs/1601.02923 (2016) - 2015
- [j2]June Zhang, José M. F. Moura:
Role of subgraphs in epidemics over finite-size networks under the scaled SIS process. J. Complex Networks 3(4): 584-605 (2015) - [c6]June Zhang, José M. F. Moura:
Individual vs. network preferences. ACSSC 2015: 1535-1538 - [c5]Javad Mohammadi, June Zhang, Soummya Kar, Gabriela Hug, José M. F. Moura:
Multilevel distributed approach for DC Optimal Power Flow. GlobalSIP 2015: 1121-1125 - [i2]June Zhang, José M. F. Moura:
Contact Process with Exogenous Infection and the Scaled SIS Process. CoRR abs/1507.00396 (2015) - 2014
- [j1]June Zhang, José M. F. Moura:
Diffusion in Social Networks as SIS Epidemics: Beyond Full Mixing and Complete Graphs. IEEE J. Sel. Top. Signal Process. 8(4): 537-551 (2014) - [c4]June Zhang, José M. F. Moura:
Dynamic bond percolation in networks. GlobalSIP 2014: 942-945 - [c3]June Zhang, José M. F. Moura:
Subgraph density and epidemics over networks. ICASSP 2014: 1125-1129 - [i1]June Zhang, José M. F. Moura:
Role of Subgraphs in Epidemics over Finite-Size Networks under the Scaled SIS Process. CoRR abs/1410.2196 (2014) - 2013
- [c2]June Zhang, José M. F. Moura:
Threshold behavior of epidemics in regular networks. ICASSP 2013: 5411-5414 - 2012
- [c1]June Zhang, José M. F. Moura:
Accounting for topology in spreading contagion in non-complete networks. ICASSP 2012: 2681-2684
Coauthor Index
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last updated on 2024-10-18 20:31 CEST by the dblp team
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