Conference Information

CFAIS 2022: International Conference on Frontiers of Artificial Intelligence and Statistics

Please Login to view website of conference
Free account: view official websites, track deadlines, and get email reminders.
Register Login
Submission Date:
2022-11-15 Closed
Notification Date:
2022-11-20
Conference Date:
2022-12-16
Location:
Beijing, China
Viewed: 18155   Tracked: 6   Attend: 0
Something wrong with this page? Tell us
Embed deadline badge
CFAIS
Get this via API
Search and ranking lists need no credentials at all; full detail for this page needs a free API key. See the developer guide.

Conference Partner Index (CP-I)

44.0 / 100
Ranked #3,352 of 5,759 conferences · Top 59%

#25 of 71 in Mathematics & Physical Sciences #407 of 751 in Artificial Intelligence & Machine Learning

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
27
Public record completeness (15%)
25

Inputs used: Researchers following it here: 6 · Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.2 · Computed 2026-10-25

Call For Papers

CFAIS 2022 (International Conference on Frontiers of Artificial Intelligence and Statistics) is an academic conference held in Beijing, China on 2022-12-16. The paper submission deadline is 2022-11-15 (extended). Acceptance notifications are sent on 2022-11-20.

2022年人工智能与统计学前沿国际会议（CFAIS 2022） 重要信息 会议网址：www.cfais.org 会议时间：2022年12月2-4日 召开地点：中国北京 截稿时间：2022年10月31日 录用通知：投稿后2周内 收录检索：EI,Scopus 会议简介 ★2022年人工智能与统计学前沿国际会议（CFAIS 2022）---Ei Compendex＆Scopus-Call for papers ｜2022年12月2-4日,中国北京｜网址: www.cfais.org ★CFAIS 2022将围绕“人工智能与统计学”的最新研究领域而展开，为研究人员，工程师和学者，以及行业专业人士提供一个平台并介绍他们的最新的研究成果以及今后开发的活动，为参会人员们交流新的思想和应用经验建立业务或研究关系。本次会议将于2022年12月2－4日在中国北京召开，在会议期间您将有机会聆听到前沿的学术报告，见证该领域的成果与进步。 会议日程预览： 会议时间 内容 2022年12月2日 注册+接待 2022年12月3日 开幕式+KN演讲+分会场报告 2022年12月4日 分会场报告+实验室参观 关于出版和索引 会议收录的稿件都将出版会议论文集， 将被Ei Compendex，SCOPUS，Google Scholar，Cambridge Scientific Abstracts（CSA），Inspec， ISTP等检索，优秀论文将在国际期刊上发表。 特邀主讲人 Huiyu Zhou教授——莱斯特大学，英国 Ahmad P. Tafti博士——南缅因大学，美国 征稿主题/会议征稿 高性能计算的算法和体系结构 流形与嵌入 近似推理 多智能体系统 贝叶斯模型与估计 业务流程智能 非贝叶斯模型与估计 因果关系 非参数模型 分类 回归 聚类 强化学习、计划、控制 深度学习包括优化 关系学习 密度估算 人工智能与统计软件及其应用 博弈论 征集主题 高斯过程 稀疏性与压缩感知 泛化与体系结构 统计与计算学习理论 更多征稿主题请访问： http://www.cfais.org/cfp.html 参会方式 1.作者参会：一篇会议录用文章允许一名作者参会； 2.主讲嘉宾：申请主题演讲，由会务组审核； 3.口头演讲：申请口头报告，时间为15分钟； 4.海报参会：申请海报参会，根据官网模板准备海报，再录制5分钟视频； 5.视频参会：录制个人视频15分钟即可； 6.听众参会：不投稿仅参会，可参与问答，也可演讲及展示。 投稿方式 1.会议邮箱：[email protected] 2.CMT在线投稿：https://cmt3.research.microsoft.com/CFAIS2022 请作者按照官网模板格式进行排版。排版好的论文全文（word+pdf版）发送至CMT在线系统或者会议邮箱。 提交摘要：即只参会做报告，不出版文章； 提交全文：即做参会做报告，并且出版文章； 听众：则不需要提交稿件，注册成功的听众可以参加会议的所有分会； 投稿要求： 1. 大会官方语言为英语，必须为全英文稿件，且应具有学术或实用价值，未在国内外学术期刊或会议发表过； 2. 保证文章原创性，未在国内外公开刊物或其它学术会议上发表过。 3. 文章篇幅一般在5-12页之间，不少于5页，含公式图表等，超过6页将收取超页费； 4. 作者可通过Turnitin或其他查询系统自费查重，重复率不得超过30%，由文章重复率引起的被拒稿将由作者自行承担责任； 5.文章录用：若您的文章被录用，我们将以邮件形式通知您，您将收到以下文件：录用通知、审稿意见表、中文注册表。 联系我们 会议秘书：黄女士 会议官网：www.cfais.org 会议邮箱：[email protected] 电话/微信同号：18108159229 QQ咨询：2011307354 All papers submitted to the conference will undergo rigorous and unbiased peer review process conducted by experts of the research area that the work of authors focuses. We invite submissions on theoretical and applicable research falls within the conference scope. The topics of interest include, but are not limited to: Algorithms and architectures for high-performance computation Manifolds and embedding Approximate inference Multi-agent systems Bayesian models and estimation No-regret learning Business Process Intelligence Non-Bayesian models and estimation Causality Nonparametric models Classification Regression Clustering Reinforcement learning, planning, control Deep learning including optimization Relational learning Density estimation Software for and applications of AI and statistics Game theory Solicited topics Gaussian processes Sparsity and compressed sensing Generalization and architectures Statistical and computational learning theory Graphical models Structured prediction Including learning with privacy and fairness Topic models Interpretability and robustness Trustworthy learning Kernel methods Unsupervised and semi-supervised learning Logic and probability
Last updated by Dou Sun on

Related Conferences

Related Journals

CCFFull NameImpact FactorPublisherISSN
Statistics and Computing1.6Springer0960-3174
Computational Statistics1.4Springer0943-4062
Computational Statistics & Data Analysis1.6Elsevier0167-9473
Spatial Statistics2.5Elsevier2211-6753
Frontiers in Robotics and AI3.0Frontiers Media S.A.2296-9144
Frontiers in ICTFrontiers Media S.A.2297-198X
Information Systems Frontiers8.3Springer1387-3326
Frontiers in Neurorobotics2.8Frontiers Media S.A.1662-5218
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051

Comments 0

No comments yet.

Please Login to post a comment