On May 25th, The 7th
International Conference on Artificial Intelligence and Big
Data (ICAIBD 2024) was grandly held in Chengdu. The
conference brought together over 200 experts, scholars, and
industry representatives in the fields of artificial
intelligence and big data from China, the Netherlands, the
United States, Germany, the United Kingdom, Greece, Japan,
Indonesia, Thailand, Vietnam, Sri Lanka, and Malaysia,
participating both online and offline. After multiple rounds
of review by the review committee, a total of 201
submissions were received, with 101 papers accepted for the
conference. These papers will be published in the IEEE
conference proceedings, indexed in the IEEE database, and
indexed by renowned databases such as EI Core and Scopus.
The ICAIBD conferences from 2018 to 2023 have all been
successfully indexed. This conference was guided by the
Sichuan Association for Science and Technology and organized
by the Sichuan Computer Federation. It aims to provide a
high-level communication platform for researchers worldwide
in artificial intelligence and big data to discuss the
latest developments and future trends in these fields.
5月25日第七届人工智能与大数据国际会议（ICAIBD
2024）在成都隆重召开。本次会议汇集了来自中国、荷兰、美国、德国、英国、希腊、日本、印度尼西亚、泰国、越南、斯里兰卡和马来西亚约200余位人工智能和大数据领域的专家、学者和企业代表线上线下共同参与。本次大会经过审稿委员会多轮审稿，共计收到201篇投稿，大会审核接收101篇，将发表于IEEE会议论文集，收录于IEEE数据库，并被EI核心Scopus等著名数据库检索，
ICAIBD2018-2023均已成功检索。本次会议由四川省科学技术协会作为指导单位，四川省计算机学会主办，旨在为全球范围内的人工智能与大数据研究者提供一个高水平的交流平台，共同探讨人工智能和大数据领域的最新进展和未来趋势。
The conference was presided over by the
Chairman of the Executive Committee, Professor Liu Zhong,
President of Leshan Vocational and Technical College. He
invited Zhang Jingzhong, an academician of the Chinese
Academy of Sciences; Professor Wang Xiaoyu, President of the
Sichuan Computer Federation; and Professor Zhou Jiliu,
Secretary of the Party Committee of Chengdu University of
Information Technology, to deliver the opening speeches. In
his opening remarks, Zhang Jingzhong, on behalf of the
conference committee, extended a warm welcome and sincere
greetings to the attendees. Professor Wang Xiaoyu introduced
the history of the conference and shared his outlook on the
fields of artificial intelligence and big data. Professor
Zhou Jiliu reiterated his warm welcome to the participants,
stating that the conference aims to establish a broad and
effective platform for exchange and cooperation within the
industry to promote academic collaboration and innovative
development. During the expert report session, distinguished
guests from around the world added highlights to the
conference. Professor Zhou Jianjian, Vice President of
Capital Normal University, delivered a remarkable speech on
"Building a New Ecology for Language Education with
Artificial Intelligence." After a short break, Professor M S
S El Namaki from Maastricht School of Management in the
Netherlands delved into the "Multidisciplinary Roots of
Artificial Intelligence." Finally, Professor Sun Yanan from
Sichuan University shared the latest developments in the
field of "Neural Architecture Search," earning rounds of
applause.
In the afternoon's invited reports, several invited speakers
from Southwest Jiaotong University, the Chinese University
of Hong Kong, Oregon State University in the United States,
the University of Chinese Academy of Sciences, and Beijing
Institute of Technology also gave wonderful presentations.
会议由大会执行委员会主席——乐山职业技术学院院长刘忠教授主持，他邀请了中国科学院院士张景中教授、四川省计算机学会理事长王晓宇教授、成都信息工程大学党委书记周激流教授发表了开幕致辞。在开幕致辞中，张景中教授代表会议委员会对与会人员表示了热烈欢迎和诚挚问候；王晓宇教授介绍了会议历史和对人工智能与大数据相关领域的展望；周激流教授再次热烈欢迎与会人员，并表示此次会议旨在为业界建立一个广泛、有效的交流合作平台，以促进学术合作和创新发展。
专家报告环节，来自世界各地的重量级嘉宾为会议增添了亮点。首都师范大学副校长周建设教授就“人工智能构建语言教育新生态”发表了精彩演讲；片刻休息之后，来自荷兰马斯特里赫特管理学院的M
S S El
Namaki教授深入探讨了“人工智能的多科学根源”；最后，来自四川大学的孙亚楠教授分享了“神经架构搜索”方向研究的最新进展，博得阵阵掌声。在下午的特邀报告当中，还有多位来自西南交通大学、香港中文大学、美国俄勒冈州立大学、中国科学院大学、北京理工大学的特邀报告者做了精彩的分享。
This conference featured multiple themed sub-forums,
covering a wide range of topics including data analysis and
management, software and information systems,
next-generation AI technologies and applications, machine
learning algorithms and computation, machine learning in
image processing and image models, deep learning models and
algorithms, modern information systems and security
certification, user-oriented recommendation systems and data
management, language translation and natural language
processing, image detection and recognition, digital image
analysis and processing methods, AI theories and application
technologies, and advanced information theories and
technologies.
Through a total of 100 paper presentation sessions,
participants shared their latest research findings and
experiences in the fields of artificial intelligence and big
data. These contributions will further promote the
development and application of big data
technologies.本次会议设置多个主题分论坛，涵盖了数据分析与管理、软件与信息系统、下一代人工智能技术及应用、机器学习算法与计算、图像处理中的机器学习与图像模型、深度学习模型与算法、现代信息系统与安全认证、面向用户的推荐系统与数据管理、语言翻译与自然语言处理、图像检测与识别、数字图像分析与处理方法、人工智能理论与应用技术、先进信息理论与技术等多个议题。与会代表通过共计100场论文分享报告，分享他们在人工智能和大数据领域的最新研究成果和经验，这些成果将进一步推动大数据技术的发展和应用。
Best presentation winners list
Session 1
BD-414
Evaluation of Machine Learning Models for Aqueous Solubility
Prediction in Drug Discovery
Sensen Liu Washington University in St. Louis, United States
Session 2
BD-297
FWBP: A New Generative Modeling Scheme
Yu Siqi Southwest Jiaotong University, China
Session 3
BD-210
A Multi-Strategy QA Method Combining with Embedded User
Feedback
Yuwei Hu Nanjing University of Posts and Telecommunications,
China
Session 4
BD-090
PreAdapter: Sparse Adaptive Parameter-efficient Transfer
Learning for Language Models
Chenyang Mao Shanghai University, China
Session 5
BD-150
Two-Stage Key Component Recognition Algorithm for High-speed
Trains Based on YOLOv8
Jiayang Qin Southwest Jiaotong University,China
Session 6
BD-192
RePhys: Lightweight heart rate measurement network for face
videos based on reparameterization
Weiqi Nie Shandong University, China
Session 7
BD-171
Research on the Impact of Artificial Intelligence and
Internationalization on Sustainable Development of
Enterprises
Leyi Li Henan University,China
Session 8
BD-417
Multi-level Semantic Fusion Optimization for Few-shot
Relation
Peihong Li National University of Defense Technology, China
Session A
BD-030
Research on Railway Data Security Protection based on Data
Grading Rules
Hongye Geng Beijing Jiaotong University, China
Session B
BD-1019
Edge and Node Fusion for Transaction-level Prediction on
Money Laundering Detection
Junyi Luo Beijing University of Posts and
Telecommunications, China
Session C
BD-309
Examining the Sustainability and Health Standards of
University Canteens using RF-SHAP-AHP
Yawen Lai Chengdu University of Information Technology,
China
Session D
BD-1033
Machine Learning Model for Heart Failure Prediction with
Feature Selection and Data Expansion
Ziyang Shen Jiangxi University of Finance and Economics,
China
Session E
BD-189
Pneumonia Image Classification: Deep Learning and Machine
Learning Fusion
Jiarui Tang UESTC, China
