TAMC 2020: Difference between revisions

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|City=Changsha
|City=Changsha
|Country=China
|Country=China
|Paper deadline=2019/12/15
|Notification=2020/01/31
|Camera ready=2020/02/15
|Submitting link=https://easychair.org/conferences/?conf=tamc2020
|has general chair=Jianxin Wang
|has program chair=Jianer Chen, Qilong Feng, Jinhui Xu
|Has PC member=Anthony Bonato, Yixin Cao, Jianer Chen, Hu Ding, Thomas Erlebach
|has Keynote speaker=Gregory Gutin, Xianfeng David Gu
}}
}}
<!-- PLEASE ADAPT OR DELETE THIS PART COMPLETELY - You can just paste in the call for papers and remove this and the last line
== Topics ==


==Topics==
    *    AI modeling
==Submissions==
    *    algebraic computation
==Important Dates==
    *    algorithmic coding and number theory
 
    *    algorithmic graph theory and combinatorics
==Committees==
    *    algorithms and data structures
* Co-Organizers
    *     approximation algorithms
* General Co-Chairs
    *     automata theory
** [[has general chair::some person]], some affiliation, country
    *     computational biology and biological computing
 
    *     computational complexity
* PC Co-Chairs
    *    computational game theory
** [[has program chair::some person]], some affiliation, country
    *     computational geometry
 
    *     computer science logic
* Workshop Chair
    *     continuous and real computation
** [[has workshop chair::some person]], some affiliation, country
    *    cryptography
 
    *     domain models
* Panel Chair
    *     dynamical algorithms
** [[has OC member::some person]], some affiliation, country
    *     foundations of artificial intelligence
 
    *    game theory
* Seminars Chair
    *     information theoretical foundation for artificial intelligence
** [[has tutorial chair::some person]], some affiliation, country
    *     learning theory, and intelligent computing
 
    *    model theory for computing
* Demonstration Co-Chairs
    *     network theory and communication networks
** [[has demo chair::some person]], some affiliation, country
    *     online algorithms
** [[has demo chair::some person]], some affiliation, country
    *     optimization
 
    *    parameterized algorithms
* Local Organizing Co-Chairs
    *     privacy and security
** [[has local chair::some person]], some affiliation, country
    *     process models
 
    *     programming and verification
* Program Committee Members
    *     property testing
** [[has PC member::some person]], some affiliation, country
    *     quantum computing
-->
    *    randomized algorithms
    *     randomness and pseudo-randomness
    *     streaming algorithms
    *     structural information theory
    *    systems theory
    *     Turing definability
    *     VLSI models of computation

Latest revision as of 06:38, 14 April 2020

TAMC 2020
The 16th Annual Conference on Theory and Applications of Models of Computation
Event in series TAMC
Dates 2020/10/18 (iCal) - 2020/10/20
Homepage: http://tamc2020.csu.edu.cn/
Submitting link: https://easychair.org/conferences/?conf=tamc2020
Location
Location: Changsha, China
Loading map...

Important dates
Papers: 2019/12/15
Submissions: 2019/12/15
Notification: 2020/01/31
Camera ready due: 2020/02/15
Committees
General chairs: Jianxin Wang
PC chairs: Jianer Chen, Qilong Feng, Jinhui Xu
PC members: Anthony Bonato, Yixin Cao, Jianer Chen, Hu Ding, Thomas Erlebach
Keynote speaker: Gregory Gutin, Xianfeng David Gu
Table of Contents


Topics

   *     AI modeling
   *     algebraic computation
   *     algorithmic coding and number theory
   *     algorithmic graph theory and combinatorics
   *     algorithms and data structures
   *     approximation algorithms
   *     automata theory
   *     computational biology and biological computing
   *     computational complexity
   *     computational game theory
   *     computational geometry
   *     computer science logic
   *     continuous and real computation
   *     cryptography
   *     domain models
   *     dynamical algorithms
   *     foundations of artificial intelligence
   *     game theory
   *     information theoretical foundation for artificial intelligence
   *     learning theory, and intelligent computing
   *     model theory for computing
   *     network theory and communication networks
   *     online algorithms
   *     optimization
   *     parameterized algorithms
   *     privacy and security
   *     process models
   *     programming and verification
   *     property testing
   *     quantum computing
   *     randomized algorithms
   *     randomness and pseudo-randomness
   *     streaming algorithms
   *     structural information theory
   *     systems theory
   *     Turing definability
   *     VLSI models of computation
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