Jun Pang
Ph.D. Vrije Universiteit Amsterdam 2004
Facts
8 properties- Instance of
- human
- Occupation
- computer scientist
- Employer
- University of Luxembourg, University of Oldenburg, Inria Saclay - Île-de-France Research Centre, Centrum Wiskunde & Informatica[2]
- Educated at
- Vrije Universiteit Amsterdam[3]
- Doctoral advisor
- Wan J Fokkink[4]
- Doctoral student
- Hugo Lennaert Jonker, Naipeng Dong, Xihui Chen, Yang Zhang, Qixia Yuan[6][7][8][9][10]
- Maintained by WikiProject
- WikiProject Mathematics[11]
🏷️ Also known as
en Jun Pang
🔖 Identifiers · 16
- ISNI
- 0000000395793228
- ORCID iD
- 0000-0002-4521-4112
- VIAF cluster ID
- 188915897
- Library of Congress authority ID
- nb2014025521
- GND ID
- 110147114X
- DBLP author ID
- p/JunPang
- DDB person (GND) ID
- 110147114X
- Dimensions author ID
- 012337724337.08
- Google Scholar author ID
- 0JjOM_gAAAAJ
- IdRef ID
- 243020635
- MR Author ID
- 671487
- Mathematics Genealogy Project ID
- 97022
Show all 16 identifiers +4
- National Library of Latvia ID
- 000039987
- Nationale Thesaurus voor Auteursnamen ID
- 239924266
- WorldCat Entities ID
- E39PBJvcYrhP7R8RxKWh7gdPcP
- ZbMATH author ID
- pang.jun
🔗 Connections
Author of 20
A Dynamics-based Approach for the Target Control of Boolean Networks,
An Empirical Study on User Access Control in Online Social Networks,
A new access control scheme for Facebook-style social networks,
ASSA-PBN: A Toolbox for Probabilistic Boolean Networks,
DeepCity: A Feature Learning Framework for Mining Location Check-Ins,
Hierarchical message-passing graph neural networks,
Inferring Friendship from Check-in Data of Location-Based Social Networks,
Learning probabilistic models for model checking: an evolutionary approach and an empirical study
+12 more
← Authored by 20
A Dynamics-based Approach for the Target Control of Boolean Networks,
An Empirical Study on User Access Control in Online Social Networks,
A new access control scheme for Facebook-style social networks,
ASSA-PBN: A Toolbox for Probabilistic Boolean Networks,
DeepCity: A Feature Learning Framework for Mining Location Check-Ins,
Hierarchical message-passing graph neural networks,
Inferring Friendship from Check-in Data of Location-Based Social Networks,
Learning probabilistic models for model checking: an evolutionary approach and an empirical study
+12 more
Affiliated with 3
Doctoral student 2
Doctoral students 2
Doctoral advisor 1
Doctoral advisors 1
Educated at 1
Instance of 1
Maintained by WikiProject 1
Occupation 1
Sex or gender 1
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Summary
Jun Pang has worked as a computer scientist[1].
Why It Matters
Jun Pang's notable doctoral advisees include Yang Zhang[12], a mathematician[13], specialised in mathematics[14] and Xihui Chen[15], a computer scientist[16].
FAQs
What did Jun Pang do for work?
Jun Pang worked as a computer scientist[1].
Where did Jun Pang go to school?
Jun Pang was educated at Vrije Universiteit Amsterdam[3].