On May 24th, The 8th
International Conference on Artificial Intelligence and Big
Data (ICAIBD 2025) was grandly held in Chengdu. The
conference brought together experts, scholars, and
industry representatives in the fields of artificial
intelligence and big data from around the world, participating both online and offline. After multiple rounds
of review by the review committee, selected papers were accepted for the
conference. These papers will be published in the IEEE
conference proceedings, and
indexed by renowned databases such as EI Compendex and Scopus.
The ICAIBD conferences from 2018 to 2024 have all been
successfully indexed. This conference is organized by the
Sichuan Computer Federation and hosted by Chengdu University. 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.
2025年5月24日第八届人工智能与大数据国际会议（ICAIBD
2025）在成都隆重召开。本次会议汇集了来自全球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，将筛选优秀论文接收发表，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，ICAIBD2018-2024均已成功检索。本次会议由四川省计算机学会主办，成都大学承办，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。
Opening Remarks
Opening Remarks
Opening Remarks
Opening Remarks
Opening Remarks
Opening Remarks
Keynote Speakers
Keynote Speakers
Keynote Speakers
Invited Speakers
Invited Speakers
Invited Speakers
Invited Speakers
The 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.
本次会议设置了多个主题分论坛，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。
S1: CA-321
Analysis of a Company Model in Conditions of Unstable Demand Using Reinforcement Learning Methods Aleksandr Delev, Moscow Institute of Physics ad Technology, Russia
S2: CA-632
Throat AI – An Intelligent System For Detecting Foreign Objects In Lateral Neck X-Ray Images
Pasan Baddewithana, Sri Lanka Institute of Information Technology, Sri Lanka
S3: CA-512
Adapt Denoising-based Graph Anomaly Detection via Multi-Scale Contrastive Learning
Gen Zhao, Shenzhen University, China
S4: CA-198
Natural Language Processing Algorithms to detect mental disorders in College Students in Lima, Perú
Francis Aramburu, Universidad Peruana de Ciencias Aplicadas, Peru
S5: CA-324
Multi-Object Vector Graph Node Classification Based on Graph Neural Networks
Xiaolong Zhang, Southwest Jiaotong University, China
S6: CA-081
MambaTAD: A Mmaba-Based Contrastive Learning Framework for Time Series Anomaly Detection
Zilu Xiu, Chengdu Institute of Computer Application, Chinese Academy of Sciences University of Chinese Academy of Sciences Chengdu, China
CA-545
Multitask Genetic Programming Based on Shapley Additive Explanation and Seismic Building Vulnerability Assessment Case
Xinyue Li, University of Electronic Science and Technology of China, China
S7: CA-048
Process Data and Speed Prediction for Fine-grained Knowledge Tracing
Xin Wang, University of Science and Technology of China, China
S8: CA-429
Wind Turbine Blade Surface Defect Detection Method Based On Improved YOLOv8
Yuxi Zhang, Xi'an Shiyou University, China
S9: CA-569
DCANet: Dual-Path Complementary Attention Network for Multivariate Time Series Forecasting
Shang Zeng, Chengdu Institute of Computer Application, University of the Chinese Academy of Sciences, China
SA: CA-470
Multi-Source Transfer Learning Method Based on BP Fine-Tuning for Spontaneous Speech Recognition in Parkinson's Disease
Yuanzhang Luo, Chongqing University of Science and Technology, China
SB: CA-423
AutoFairMask: Enhancing Fairness in Machine Learning with Automated Protected Attributes Detection
Heng Li, CUNY Graduate Center, USA
SC: CA-635
Research on Automatic Government Data Cataloging System Based on Local Large Language Model: A Case Study of Suining City
Xuying Zheng, Chengdu University, China
SD: CA-500
RHPENet: Robust Head Pose Estimation by Learning Heterogeneous Relationships from Facial Region Cues in Human Robot Interaction
Shijia Qian, Central China Normal University, China
SE: CA-1020
A Multi-Agent Reinforcement Learning Approach for Optimizing Shared Spare Parts Procurement Management
Huixian Qiu, ShenZhen University, China
Poster: CA-378
Adaptive Contrastive Decoding for Instruction-Following in Large Language Models
Jiarong Zhang, Beijing University of Posts and Telecommunications, China
