2025 8th International Symposium on Big Data and Applied Statistics (ISBDAS 2025)
2025 8th International Symposium on Big Data and Applied Statistics（ISBDAS 2025) will be held on February 28- March 2, 2025 in Guangzhou, China. ISBDAS 2025 is to bring together innovative academics and industrial experts in the field of Big Data and Applied Statistics to a common forum. The primary goal of the conference is to promote research and developmental activities in Big Data and Applied Statistics and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in Big Data and Applied Statistics and related areas.
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Keynote Speeches
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Nanyang Technological University, Singapore
Speech Title: AI-Driven Big Time Series Data Analytics
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Prof. Yong Tang
South China Normal University, China
Speech Title: Cooperative Intelligent Applications based on SCHOLAT big Data
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Prof. Guochao Peng
Sun Yat-Sen University, China
Speech Title: Realizing the power of AI: the Importance of Data, Human Needs and Scenes
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Hunan Normal University, China
Speech Title: Event-triggered control problems ofstochastic nonlinear delay systems
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Prof. Hongliang Dai
Guangzhou University, China
Speech Title: Adaptive multiple kernel clustering using low-rank representation
After the keynote speech, the conference entered the oral speeches session.
Oral Speeches
Hao Wang Nanning University, China Speech Title:The Development of Quality Management Information System under Quality 4.0 Era: A Review |
Selina Low Yeh Ching Sunway University, Malaysia Speech Title: Strict Arcsine Regression Model for Longitudinal Count Data: A Marginal Modelling Approach |
Li Wen Beijing University of Chemical Technology Speech Title: Deep Learning-Based Kinetic Modeling for Methanol Synthesis from Synga |
Longxiang Liu Guangdong University of Finance and Economics, China Speech Title: A New Method for Judging Nonlinear Correlation Based on Fusion Metrics |
Zhangyue Lei School of Reliability and Systems Engineering, Beihang University Speech Title: Coating Degradation Prediction Based on Machine Learning Models: onsidering Shielding Effects and Environmental Factors |
Online Oral Presentation
Faiz Gouri IEEE Seattle Chapter Speech Title: Context-Aware Telemetry Data Compression for Cost Optimization in Distributed Systems |
Yijun Wang Vector Lab, China Speech Title: TransScan - Scanning Latin dactylic verse using Transformers |
Yu Zhang University of Shanghai for Science and Technology, China Speech Title: High Accuracy Crank-Nicolson Scheme for Solving Two-Dimensional Variable Coefficient G-Equations |
Furong Wang Guangdong University of Technology, China Speech Title: An Automatic Scoring Algorithm for Physics Experiments Based on YOLOv5 and MobileNet et |
Shuo Zhang Henan University of Technology, China Speech Title: Leveraging LightGBM for High-Accuracy Telecom Fraud Detection with Clustering-Based Undersampling |
Ya Zhang Guangxi University of Science and Technology Speech Title: EfficientZSR: A Lightweight Generalized Zero-Shot Recognition Framework |
Zhengfang He Yunnan Technology and Business University Speech Title: Dynamic Weight Adjustment in Siamese Multi-Head Self-Attention for Text Similarity |
Yu Mou Business School, Sichuan University, China Speech Title: Research on Dynamic Risk Evaluation Model for Family Farm Entrepreneurship Based on BP Neural Network |
Zhengfang He Yunnan Technology and Business University Speech Title: Dynamic Weight Adjustment in Siamese Multi-Head Self-Attention for Text Similarity |
Wenzhen Yu Beijing Jiaotong University, China Speech Title: Consortiums Based on Dynamic Distance-Based Community Detection |
This conference provided opportunities for the different areas delegates to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration.
Photos Wall
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