1. The 4th International Session on Theoretical Computational Intelligence and Applications in 2023

Organizer:
Wenzheng Bao
Xuzhou University of Technology
Email:baowz55555@126.com

Scope and Topics:
Since the birth of artificial intelligence, the theory and technology are increasingly mature. The application field is also expanding. According to some laws and mechanisms in the process of natural evolution, and researchers deal with problems though imitation. That is where theoretical computational intelligence comes in. Theoretical computational intelligence is the successor of artificial intelligence. In addition, it turns into one of the most active researches in the field of intelligent information science. Theoretical computational intelligence has been successfully used to solve the critical problems in pattern recognition, data mining, image processing and so on. Nowadays, there is some representative algorithms in the field such as fuzzy systems, neural networks, evolutionary computation, group intelligence and immune system, etc. Recently, theoretical computational intelligence is at rapid development, in the case of both methodological development and practical applications. Computational intelligence plays pivotal roles in finding the stable convergence of the optimal solution or approximate optimal solution through multiple iterative calculation. Especially in practical applications, it has been widely implemented by researchers. Computational intelligence is an essential combination of learning, adaptation and evolution used to intelligent and innovative applications. Similar to other scientific domains, there is no doubt that computational intelligence has a great research space both in theory and in applications. This workshop consists of invited talks and contributed talks, and welcomes submission of both papers and short abstracts, where all submissions will be subject to peer review. The topics of interest include but are not limited to the following: Applications of theoretical Computational Intelligence in bioinformatics Applications of theoretical Computational Intelligence in traffics Applications of theoretical Computational Intelligence in pharmaceutics Applications of theoretical Computational Intelligence in pharmacology Applications of theoretical Computational Intelligence in Computational chemistry Applications of theoretical Computational Intelligence in Microbiomics Applications of theoretical Computational Intelligence in image processing Applications of theoretical Computational Intelligence in natural language processing Applications of theoretical Computational Intelligence in financial Other related topics.

2. Medical image Intelligent Diagnosis and Precision Analysis for Human Health

Organizers:
Pengjiang Qian
Jiangnan University
Email:qianpjiang@jiangnan.edu.cn

Wenbing Zhao
Cleveland State University
Email:w.zhao1@csuohio.edu

Khin-Wee Lai
University of Malaya
Email:lai.khinwee@um.edu.my

Scope and Topics:
Disease diagnosis is a complex evidence-based process that requires various data to complement each other. As the most intuitive way of displaying symptoms, medical imaging plays an important role in intelligent diagnosis and precision analysis. Especially in recent years, the advancement of artificial intelligence technology has promoted breakthroughs in various fields of precision medicine. However, it is still difficult to analyze medical imaging data with high efficiency, high accuracy, and high consistency, due to four limitations: symptom complexity, data variation, algorithm efficiency, and the subjective differences between different clinicians. Hence, intelligence analysis technology still has great potential to simplify the diagnostic process, improve the analysis accuracy and efficiency, and better assist clinicians in the diagnosis of lesions. For this Research Topic, we would like to bring together the latest progress of medical intelligent analysis technologies, such as medical intelligent diagnosis and prognosis analysis, complex fusion processing of multi- modality medical data, medical image classification, segmentation, detection, registration, reconstruction, intelligent analysis and so on. These key biomedicine intelligent analysis technologies are the basis of precision medicine as well as the hot research areas. We believe that these critical medical intelligent analysis technologies will significantly improve the abilities to achieve intelligent diagnosis and precision medicine. We welcome submissions of Original Research and Review articles focusing on the intelligent analysis of medical imaging data for precision medicine. Topics of interest include but are not limited to any of the sub-topics listed below: Multi-modality fusion for diagnosis, image analysis, and image-guided interventions Medical image classification Medical image biomarkers Medical image reconstruction Medical image registration Medical image segmentation Medical image retrieval Medical image data mining Computer-aided detection/diagnosis Outcome/disease prediction/survival prediction Quantification based on intelligent analysis of medical imaging data Interpretability and Complexity Analysis of Machine Learning.

3. Special Session on Information Security

Organizers:
Yunxia Liu
Zhengzhou Normal University
Email:liuyunxia0110@zznu.edu.cn

Scope and Topics:
Information security has become a crucial need for almost all information transaction applications due to the large diversity of the hackers and attacks, Traditional techniques such as cryptography, watermarking, and data hiding are basic notions and play an important role in developing information security algorithms and solutions. In spite of the large development in the information security techniques, there are still several challenges that need to be addressed in terms of time, accuracy and reliability. The special session targets the information security research area with respect to trends, advanced techniques and applications, which attracts researchers and practitioners from academia and industry, and provides a discussion environment in order to share their experiences in information security. Authors are encouraged to submit both theoretical and applied papers on their research in information security. Topics of interest include, but are not limited to: Blockchain security Applied cryptography Data protection Formal methods in security Information dissemination control Information hiding and watermarking Network security Privacy Secure group communications Security in social networks Embedded security

4. The 4th International Workshop on Recent advances in deep learning methods and techniques for medical image analysis

Organizers:
Yudong Zhang
University of Leicester, UK
Email:yudongzhang@ieee.org

Chenxi Huang
Xiamen University, China
Email:supermonkeyxi@xmu.edu.cn

Scope and Topics:
With the advancement in biomedical imaging, the amount of data generated is increasing in biomedical engineering. For example, data can be generated by multimodality image techniques, e.g., ranging from Computed Tomography (CT), Magnetic Resonance Imaging (MR), Ultrasound, Single Photon Emission Computed Tomography (SPECT), and Positron Emission Tomography (PET), to Magnetic Particle Imaging, EE/MEG, Optical Microscopy and Tomography, Photoacoustic Tomography, Electron Tomography, and Atomic Force Microscopy, etc. This poses a great challenge to develop new advanced imaging methods and computational models for efficient data processing, analysis, and modeling in clinical applications and understanding the underlying biological process. In recent years, deep learning is a rapidly advancing field in terms of both methodological development and practical applications. It allows computational models of multiple processing layers to learn and represent data with multiple levels of abstraction. It can implicitly capture intricate structures of large-scale data and is ideally suited to some of the hardware architectures currently available. The focus of this workshop is to carry out the research article, which could be more focused on the latest medical image analysis techniques based on Deep learning. In recent years, researchers have widely used the Deep Learning method and its variants. This Issue intends to bring new DL algorithms with some Innovative Ideas and find out the core problems in medical image analysis. Recommended topics include (but are not limited to) the following:

• Application of deep learning in biomedical engineering
• Transfer learning and multi-task learning
• Joint semantic segmentation, object detection, and scene recognition on biomedical images
• Improvising on the computation of a deep network; exploiting parallel computation techniques and GPU programming
• New models or new structures of the convolutional neural network
• Visualization and explainable deep neural network

5. Computational intelligence and its application

Organizers:
Yongquan Zhou
Guangxi Minzu University
Email:yongquanzhou@126.com

Huajuan Huang
Guangxi Minzu University
Email:hhj-025@163.com

Xiuxi Wei
Guangxi Minzu University
Email:weixiuxi@163.com

Scope and Topics:
Computational intelligence is a relatively cutting-edge research direction in the field of artificial intelligence. It is the general name of a class of algorithms inspired by "natural intelligence". The advantages of computational intelligence, such as global search and efficient parallelism, provide new ideas and new means for solving complex optimization problems, which has attracted extensive attention of scholars at home and abroad and set off a research upsurge. The purpose of this meeting is to provide a platform for experts, scholars, engineers, technicians and technical research and development personnel to share scientific research achievements and cutting-edge technologies in the field of computational intelligence and applications, understand academic development trends, broaden research ideas, strengthen academic research and discussion, and promote industrial cooperation of academic achievements. Topics for contributions (the following topics include but are not limited to): Swarm intelligence optimization algorithm neural network Evolutionary computation Fuzzy computation Quantum computation DNA computing Intelligent agent model Rough Set Theory and Granular Computing

6. Machine Learning in Drug-Target Interaction

Organizers:
Xiaolong Zhang
Wuhan University of Science and Technology, China
Email:xiaolong.zhang@wust.edu.cn

Jing Hu
Wuhan University of Science and Technology, China
Email:hujing@wust.edu.cn

Bo Li
Wuhan University of Science and Technology, China
Email:libo@wust.edu.cn

Scope and Topics:
Drug-target interaction plays an important role in discovering protein functions, revealing diseases, improving biopharmaceutics, and understanding biological evolution. For the research on the interaction between target proteins and drug molecules, in addition to biological experimental methods, machine learning methods are used to process data of a large number of verified targets and drug compounds, and analyze the interaction between target proteins and drugs, which is conductive to promoting drug discovery and assisted to decision-making for biomedicine. Therefore, authors are welcome to submit both theoretical and applied papers of machine learning methods to solve related problems in bioinformatics. Potential topics include but are not limited to the following: Machine learning in drug-target interaction prediction Machine learning in drug design Drug-target binding affinity prediction Biomedical image processing Hot pots and hot regions prediction in PPIs Application of knowledge graph in bioinformatics