Revised XES Standard Approved by IEEE SA

On 9 August 2023, the IEEE Standards Association (IEEE SA) approved the revised XES Standard. As a result, the original 1849-2016 XES Standard has now been superseded by the 1849-2023 XES Standard. The XES Standard is now an active IEEE standard until the year 2033. The revised XES Standard includes all standard extensions that were accepted so far. This Standard would not exist without the efforts of:

• Moe Wynn, WG Chair
• Wil van der Aalst, WG Vice Chair
• Eric Verbeek, WG Secretary

The IEEE CIS Standards Committee expresses gratitude for their efforts and congratulates them for their scientific achievements.

Vanessa Lalitte, IEEE Program Manager, helped Moe, Wil, and Eric navigating the formal and administrative aspects of IEEE standards development.

For more information see 1849-2023 - IEEE Standard for eXtensible Event Stream (XES) for Achieving Interoperability in Event Logs and Event Streams.

Deadline for applying: 12 December 2023

Notifications: 12 January 2024

For more information on requirements and how to apply visit IEEE TNNLS Call for Associate Editors.

Applications close 3 December 2023. Successful applicants will be notified by early 2024.

Upcoming Live Webinar

Industry to Academia and Back Again: How Education Can Change Lives
Thursday, 16 November 2023 at 11:00 AM - 12:00 PM GMT

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2024 Graduate Student Research Grants: Call for Applications

The IEEE Computational Intelligence Society (CIS) funds scholarships for deserving undergraduate, graduate and PhD students who need financial support to carry out their research during an academic break period. The primary intent of these scholarships is to cover the expenses related to a visit to another university, institute, or research agency for collaboration with an identified researcher in the field of interest of the applicant. Funds can be used to cover travel expenses as well as certain living expenses (such as housing). The field of interest of applicants is open but should be connected with an identifiable component of the CIS (neural networks, fuzzy systems, or evolutionary computation).

The deadline for submission of 15 March 2024. More information on the scheme can be found on the Graduate Student Research Grants webpage.

2024 IEEE CIS Student Grand Competition on Computational Intelligence in Biomedicine and Healthcare

We welcome participants to present computational intelligence solutions for core issues in smart medicine, smart healthcare, and smart hospital including but not limited to personalized, predictive, preventive, and participatory medicine and healthcare solutions. In the preliminary contest, the judge committee will select 10 teams based on the uploaded proposals. In the final contest, the selected teams need to physically or virtually attend the 2024 IEEE World Congress on Computational Intelligence (WCCI) in Japan for real-time demonstration and presentation of their systems.

Prize per team:

• 1st Place Award: US$1,500 + Certificate
• 2nd Place Award: US$1,000 + Certificate
• 3rd Place Award: US$600 + Certificate
• Honorable Mention: Certificate

Website: https://sites.google.com/view/cishackathon

Submission Due: Extended to 15 December 2023

Preliminary Contest: 3 January 2024

Final Contest: 30 June 2024

Learning Regularity for Evolutionary Multiobjective Search: A Generative Model-Based Approach

The prior domain knowledge, i.e., the regularity property of continuous multiobjective optimization problems (MOPs), could be learned to guide the search for evolutionary multiobjective optimization. This paper proposes a learning-to-guide strategy (LGS) for assisting the search for multiobjective optimization algorithms in dealing with MOPs. The main idea behind LGS is to capture the regularity via learning techniques to guide the evolutionary search to generate promising offspring solutions. To achieve this, a generative model called the generative topographic mapping (GTM) is adopted to capture the manifold distribution of a population. Read more

IEEE Computational Intelligence Magazine, November 2023

Android Malware Detection Methods Based on Convolutional Neural Network: A Survey

Android malware detection(AMD) is a challenging task requiring many factors to be considered during detection, such as feature extraction and processing, performance evaluation, and many available datasets. AMD aims to develop more effective algorithms and models to protect users' privacy and data security. Deep learning(DL) has recently received considerable attention in AMD, especially convolutional neural networks(CNN), which can handle binary data in Android applications more efficiently, avoid feature engineering, and cope well with rapid malware updates. Read more

IEEE Transactions on Emerging Topics in Computational Intelligence, October 2023

Membership Mappings for Practical Secure Distributed Deep Learning

In this article, we consider the problem of privacy-preserving distributed deep learning where data privacy is protected by fully homomorphic encryption. The aim is to develop a method for practical and scalable distributed deep learning with fully homomorphic encrypted data. The method must address the issue arising from the large computational cost associated with fully homomorphic encrypted data to offer a practical and scalable solution. Read more

IEEE Transactions on Fuzzy Systems, August 2023

Incremental Recursive Ranking Grouping for Large-Scale Global Optimization

Real-world optimization problems may have a different underlying structure. In black-box optimization, the dependencies between decision variables remain unknown. However, some techniques can discover such interactions accurately. In large-scale global optimization (LSGO), problems are high dimensional. It was shown effective to decompose LSGO problems into subproblems and optimize them separately. The effectiveness of such approaches may be highly dependent on the accuracy of problem decomposition.Read more

IEEE Transactions on Evolutionary Computation, October 2023

QTT-DLSTM: A Cloud-Edge-Aided Distributed LSTM for Cyber–Physical–Social Big Data

Cyber–physical–social systems (CPSS), an emerging cross-disciplinary research area, combines cyber–physical systems (CPS) with social networking for the purpose of providing personalized services for humans. CPSS big data, recording various aspects of human lives, should be processed to mine valuable information for CPSS services. To efficiently deal with CPSS big data, artificial intelligence (AI), an increasingly important technology, is used for CPSS data processing and analysis. Read more

IEEE Transactions on Neural Networks and Learning Systems, October 2023

Flexible Learning Models Utilizing Different Neural Plasticities

The existing models for vestibulo-ocular reflex (VOR) and optokinetic response (OKR) learning utilize neural circuit structure and capture a few characteristics of these two learning systems. However, it remains unclear how the error signals guide these learning processes. Here, we propose novel dynamic learning models using error feedback in a flexible fashion to account for both VOR and OKR learning. We first used a feedback modulation model (FMM) and found the error signals play an essential guiding role in the gain compensation of wild-type mice. Read more

IEEE Transactions on Cognitive and Developmental Systems, September 2023

Cognition-Driven Multiagent Policy Learning Framework for Promoting Cooperation

Many attempts have been made to promote cooperation for multi-agent systems. However, several issues that draw less attentions but may dramatically degrade the cooperation performance still exist, such as redundant information interactions among neighbors, and difficulties in understanding complex and dynamic environments from high-level cognition. To address these limitations, a cognition-driven multi-agent policy (CDMAP) learning framework is proposed in this paper. Read more

IEEE Transactions on Games, September 2023

• IEEE TFS Special Issue on Smart Fuzzy Optimization in Sustainable Manufacturing and Supply Chain Management (1 November 2023)

• IEEE TFS Special Issue on Advances in fuzzy deep learning algorithms for biomedical data (1 December 2023)

• IEEE TETCI Special Issue on Quantum Computing meets Computational Intelligence: A New Vision for Smart Systems (20 December 2023)

• IEEE TFS Special Issue on Deep Neuro-Fuzzy Approaches for Intelligent Big Data Processing (30 December 2023)

• IEEE TETCI Special Issue on Advances in Methodologies for Metaheuristic Algorithms (31 December 2023)

• IEEE TFS Special Issue on Fuzzy-Deep Neural Network Learning in Sentiment Analysis (15 January 2024)

• IEEE TAI Special Issue on AI-Enabled Security at the Edge (31 January 2024)

• IEEE TOG Special Issue on Computer Vision and Games (31 January 2024)

IEEE WCCI 2024

IEEE WCCI is the world's largest technical event on computational intelligence, featuring the three flagship conferences of the IEEE Computational Intelligence Society (CIS) under one roof: The International Joint Conference on Neural Networks (IJCNN), the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) and the IEEE Congress on Evolutionary Computation (IEEE CEC).

Important Dates

15 November 2023, Special Session & Workshop Proposals Deadline

15 December 2023, Competition & Tutorial Proposals Deadline

15 January 2024, Paper Submission Deadline

Visit WCCI2024.org for more information. 

2024 IEEE CAI

The second edition of the IEEE Conference on Artificial Intelligence (IEEE CAI) will take place at Marina Bay Sands, Singapore, from 25 to 27 June 2024. The Organising Committee invites workshop and tutorial proposals, and paper submissions from industry and academia. The conference will feature industry plenary speakers, an exhibition, and panels to discuss contemporary topics in AI that impact industry and the society.

Important Dates

Submit your paper now!

IEEE CIS sponsors and co-sponsors a number of conferences across the globe.