Conference Information

AIST 2016: International Conference on Artificial Intelligence Science and Technology

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Submission Date:
2016-06-30 Extended
Notification Date:
Conference Date:
2016-07-15
Location:
Shanghai, China
Viewed: 17868   Tracked: 4   Attend: 2

Conference Partner Index (CP-I)

43.8 / 100
Ranked #3,344 of 5,687 conferences · Top 59%

#403 of 741 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%)
26
Public record completeness (15%)
25

Inputs used: Researchers following it here: 4 · Researchers who opened this page in the past 24 months: 3

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 1.1 · Computed 2026-09-28

Call For Papers

AIST 2016 (International Conference on Artificial Intelligence Science and Technology) is an academic conference held in Shanghai, China on 2016-07-15. The paper submission deadline is 2016-06-30 (extended).

Papers submitted to AIST 2016 should describe original unpublished work in the field of Artificial Intelligence Science and Technology including the following Topics: Topic 1：Artificial Intelligence and Application Agent-based and Multiagent Systems Web and Knowledge-based Information Systems Cognitive Systems Game Playing and Interactive Entertainment Robotics and Vision Agent-based and Multiagent Systems Knowledge Representation and Reasoning Machine Learning Knowledge Representation, Reasoning and Logic Natural-Language Processing Planning and Scheduling Constraints, Satisfiability, and Search Natural-Language Processing Uncertainty in AI Topic 2：Computer and Software Genetic Algorithms Computer vision and Pattern Recognition Interactive Computational Models Information Retrieval Hybrid Methods Grid Computing Software Engineering Practice Quality Management Managing Software Projects Multimedia and Visual Software Engineering Software Maintenance and Testing Languages and Formal Methods Web-based Education Systems and Learning Applications Software Engineering Decision Making Topic 3：Communication and Network Optics and Optoelectronics Secure Communications Video and Broadcasting Wireless and Satellite Communications Communication Software and Services Wireless Communications Optical Communications Signal Processing for Communications Multimedia Communications Green Communications & Computing Next-Generation Networking Ad-hoc, Sensor and Mesh Networking Network Architectures Internet of Things Cognitive Radio and Networks Smart Networking Topic 4：Information and Security Access control Anonymity Computer virus and worm confrontation Authentication and authorization Applied cryptography Data and system security Distributed system security E-commerce security Deception control Grid security Intrusion detection Key management and key recovery Language based security Operating system security Network security Risk assessment and safety certification Security model and protocol Cloud security Big data security Hardware security Network space security Privacy protection Topic 5：Data Mining Association rules Classification Clustering Data cleaning Data integration Data Pre-Processing,Data Transformation and Dimensionality Reduction Feature Extraction and Feature Selection Data Mining Algorithms Data Analytics Foundations Real-time Mining, Data Stream Mining, and Dynamic Data Mining Visual Mining and Data Visualization Graph Mining and Semi-Structured Data Spatial and Temporal Data Mining Uncertainty Modeling in Data Mining Web Mining Topic 6：Optimization Operations Research Fuzzy Logic Fuzzy Systems Evolutionary Computation Knowledge Based System Genetic Algorithms Neural Network Other Related Topics
Last updated by Xin Yao on

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