2023年6月18日，计算机技术与信息科学国际学术会议(CTIS 2023)线上会议顺利举办。
本次会议围绕计算机技术与信息科学领域里最新科研和实践过程中遇到的新挑战和问题进行深入探讨，包含主题报告、口头和海报展示等多个环节。
18日上午8:30会议正式开幕。
大会开幕式致辞过后，进入本次会议的第一环节：主题报告。先后迎来加拿大Prof. Yingxu Wang， 卡塔尔Prof. Maode Ma， 英国Prof. Huiyu Zhou，新加坡Prof. Tay, Wee Peng， 印度Prof. Rajanikanth Aluvalu， 法国Prof. Constantin Morarescu 等知名教授的精彩演讲。
8:40-9:48
Prof. Yingxu Wang
University of Calgary, Canada
Challenges of Autonomous AI (AAI) to Information, Computer, and Intelligence Sciences
9:50-10:28
Prof. Maode Ma
Qatar University, Qatar
Security Enhancements for 5G Wireless Networks
10:30-11:15
Prof. Huiyu Zhou
University of Leicester, UK
Addressing uncertainly issues in image understanding
11:20-11:58
Prof. Tay, Wee Peng
Nanyang Technological University, Singapore
Data-Driven Privacy Sanitization with Regularization
12:00-12:25
Prof. Rajanikanth Aluvalu
from Chaitanya Bharathi Institute of Technology, India
12:25-13:00
Prof. Constantin Morarescu
University of Lorraine, France
Analysis of Opinion Dynamics in Social Networks
感谢各位主题报告人的激情演讲，每一位报告人都展现着自己对待学术的热情，专注与认真。
经过短暂的休息后，下午两点，口头报告环节准时开启。
14:00-14:12
Prof. Jie Liu
Computer Science Division, Western Oregon University, USA
On Scaling and Its Effects Regarding Improving Cloud Era Analytical Database Query Performance
14:14-14:26
Ningyi Xie
University of Tsukuba, Ibaraki Prefecture, Japan
Quantum Approximate Optimization Algorithm Parameter Prediction Using a Convolutional Neural Network
14:27-14:34
Prof. Fayou Sun
Fuzhou Institute of Technology, China
Adopting Multiple Vision Transformer Layers for Fine-Grained Image Representation
14:35-14:42
Rohit Kumar
Vel Tech R&D Institute of Science and Technology, India
Effective Machine Learning-Based Skin Disease Diagnosis
14:43-14:58
Wei Meng
Fudan University, China
Research on the adoption of mobile instant messaging applications in the workspace
15:00-15:07
Zhou Yihang
Southwest University of Science and Technology, China
Position estimation of fuel ball blockage in pipeline
15:07-15:17
Zhaoming Yang
China University of Petroleum-Beijing, China
Probabilistic Simulation Model of Resilience Assessment of Natural Gas Pipeline Systems
15:18-15:35
Xinran Duan
School of Artificial Intelligence, Beijing Normal University, China
3D Human Pose Estimation for Traditional Dance Video Using Semi-Supervised Two-stage Model
海报展示
多位作者为我们展示了文章相关的海报，部分海报展示如下
至4:30，本次会议完美落幕。
在各方的共同支持和努力下CTIS2023得以顺利召开，CTIS组委会诚挚的感谢每一位作者和参会人员对会议的大力支持。希望此次会议能给大家带来学术上的收获以及良好的参会体验。期待与你们相约CTIS2024-- 6月21-23日，鄂尔多斯~