2024年第三届计算与人工智能国际会议(ISCAI 2024) (ISCAI 2024)

2024/11/22-2024/11/24
中国·云南省·大理白族自治州
会议形式: 线下会议
主办单位:东华大学
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会议简介 Brief Introduction


会议简介

★2024年第三届计算与人工智能国际会议(ISCAI 2024)---Ei Compendex&Scopus-Call for papers

202411月22-24,大理

 

★ISCAI 2024将围绕“计算与人工智能”的最新研究领域而展开,来自世界各地的主要研究人员和行业专家将通过论文和口头报告介绍研究成果。本次会议由东华大学、大连理工大学、上海市浦东新区计算机协会联合主办。会议的这三天里,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。

议日程预览

会议时间

内容

2024年11月22日

注册+接待

2024年11月23日

开幕式+KN演讲+分会场报告

2024年11月24日

分会场报告+实验室参观




重要信息 Highlights

2024年第三届计算与人工智能国际会议(ISCAI 2024)


 重要信息

会议时间:202411月22-24

召开地点:云南·大理

截稿时间:2024年10月23日

录用通知:投稿后1

收录检索:EI,Scopus

组织机构 Organization and Committee

主办单位:东华大学、大连理工大学、上海浦东新区计算机协会

支持单位:香港机器人与计算机协会(HKSRA)、科享学术交流中心


征稿主题 Call for Paper

征稿主题/会议征稿

代理系统
知识管理
人工智能应用
知识表达
系统的架构概念
知识理解和建模
自动推理
知识型应用
自主、自适应、可靠的计算
机器和知识的深度学习
生物信息学和BioNLP
多模态交互
业务流程计算
多媒体处理
基于案例的推理
自然语言处理
认知模型
互联网计算
知识的句法和语义方面

网络科学,社交网络,集体智慧
交流知识和代理
神经网络和深度学习
约束满足
并行计算
数据挖掘
性能赋值
隐私保护
进化计算
查询和优化
实时知识和处理
绿色计算
知识系统的硬件和软件
机器人和感知
信息和知识管理
服务计算和云计算
信息检索和搜索
软件进化和挖掘
完整性、安全性和容错性

更多征稿主题请访问: http://www.iscai.org/cfp.html

注册费用 Registration
出版信息 Publication
ISCAI 2024的所有被接受和提交的论文将发表在ACM国际会议论文集系列(ICPS)上,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。
参会方式 Type of Attendance
线下+线上
会议酒店信息 Venue
TBD...
主讲嘉宾

主讲嘉宾

Guest Speaker

Prof. Yun Li

嘉宾类型: 主讲嘉宾
职称: 教授
学校/单位: Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Chi
Professor Yun Li FIEEE obtained his PhD from University of Strathclyde, Glasgow, UK, and has researched into intelligent systems and "AI for Engineering" for over 30 years. He taught at University of Glasgow for 28 years, where he was recognized as the second Top Author and served as the founding Director of University of Glasgow Singapore. Since 2021, he has been Director of Industrial Artificial Intelligence Centre at Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China. Inspired by AI, his early work resolved issues in PID control that had been puzzling practicing engineers for over 50 years. He has led or co-led over 30 research projects in the UK, EU, Singapore, and China, equivalent to over 20 million pounds in funding. Currently, his research focuses on explainable artificial intelligence (XAI) and Computer-Automated Design (CAutoD, EDA), leading 2 major research projects funded by the National Natural Science Foundation of China for the next-generation AI models with grey-box XAI technology and by the National Key R&D Program of the Ministry of Science and Technology of China for the next-generation AI chips with compute-in-memory technology. He has published over 300 papers and books, and holds 20 patents in China, Europe, United States and Japan.

Prof. Shaoliang Peng

嘉宾类型: 主讲嘉宾
职称: 教授
学校/单位: Hunan University, China
Dr. Peng is currently the executive director and a Changjiang Scholars professor with the National Supercomputing Center and College of Computer Science and Electronic Engineering, Hunan University, Changsha, China. He has authored or coauthored dozens of academic papers in several internationally influential journals, including Science, Nature Communications, Cell, The American Journal of Human Genetics, Nucleic Acids Research, Genome Research, Bioinformatics, ACM/IEEE Transactions, Bioinformatics, and Biomedicine. His research interests include high-performance computing, bioinformatics, big data, precision medicine, health informatics, and computer-aided drug design. He was the editor of several international journals, including executive editors of the International Journal of Biological Sciences and an executive editors-in-chief of Interdisciplinary Sciences: Computational Life Sciences International Journal. He was the chairman and sponsor of the Hunan Provincial Bioinformatics Society, China, the deputy director of Biological Information Professional Group in CCF, and invited speaker of the BIBM 2016 conference.

Prof. Julio Gonzalo

嘉宾类型: 主讲嘉宾
职称: 教授
学校/单位: Universidad Nacional de Educación a Distancia, Spain
Julio Gonzalo is director of the UNED Research Center in Natural Language Processing (NLP) and Information Retrieval (IR) in Madrid. Along his career he has worked on topics such as online reputation monitoring, toxicity and misinformation in Social Media, interactive cross-language search, computational creativity and semantic similarity. He has also worked extensively in the design and assessment of evaluation metrics for a wide range of Artificial Intelligence problems, which led to a Google Faculty Research Award (together with Enrique Amigó and Stefano Mizzaro). He has recently been general co-chair of ACM SIGIR 2022 and of IberLEF 2019-2022, the annual evaluation campaign for NLP systems in Spanish and other Iberian languages. He is currently leading ODESIA (odesia.es), a Spanish government initiative to measure the state of the art of language technologies in Spanish.
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