Web Intelligence meets Brain Informatics (WImeetsBI)

Co-located with The 23rd IEEE/WIC IIEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2024)

Co-located with The 17th International Conference on Brain Informatics (BI 2024)

We warmly invite researchers and enthusiasts from diverse fields, including data science, network science, service science, intelligent agents, human-centric computing, brain-inspired computing, brain-machine intelligence, artificial intelligence, embodied intelligence, machine learning, deep learning, knowledge management, information retrieval, digital twins, FAccT, LLMs and AIGC, to join the WImeetsBI 2024 workshop.

Web Intelligence and Brain Informatics are committed to addressing research that both deepen the understanding of computational, logical, cognitive, physical, and social foundations of the future Web, and enable the development and application of intelligent computing technologies. To achieve its goals, Web Intelligence employs cutting-edge technologies such as data mining, machine learning, knowledge graph, intelligent agents, and natural language processing to analyze web data and create intelligent tools and services that offer personalized and valuable insights to users. Current Web Intelligence research and applications include AIGC internet content production, pre-trained language models, deep learning, conversational retrieval, digital twins, Web3 and the metaverse, brain-inspired computing, and brain-machine intelligence. As a rapidly evolving field, Web Intelligence holds significant promise for enhancing the efficiency, effectiveness, and user experience of web-based systems, applications, and services. As the web continues to evolve and interconnect, the role of Web Intelligence in shaping its future is set to become increasingly significant.

Topics of Interest

Our research interests encompass a wide range of topics, including but not limited to:

  • Complex brain science investigations
  • BI research driven by WI needs
  • Innovative technologies for brain science
  • Collective intelligence at the human level
  • Interactions of brain big data in a social-cyber-physical space
  • Computing and services for brain big data
  • Brain-machine intelligence and brain-inspired computing
  • Text mining applications in brain informatics
  • Knowledge graph construction for brain informatics
  • BI research on cognition, emotion, and disease
  • Intelligent health technologies
  • Multi-task and multimodal data analysis
  • Fusion computing of multi-source data and knowledge

Organizers

Jianzhuo Yan

Beijing University of Technology, China

Jianhui Chen

Beijing University of Technology, China

Jiajin Huang

Beijing University of Technology, China

Workshop Schedule in conjunction with WI-IAT 2024

December 9, 2024 (UTC-7)/ Bangkok, Thailand

Opening Address: 9:00-9:30 AM

Web Intelligence Meets Brain Informatics: Building the Foundations for Future Intelligent Societies

Professor Ning Zhong, Maebashi Institute of Technology, Japan

Invited Talk: 9:30-10:00 AM

Transforming Mental Health Care with Web Intelligence: AI Solutions for Precision Psychiatry

Professor Xiaohui Tao, University of Southern Queensland, Australia

Invited Talk: 10:00-10:30 AM

Towards Inclusive Society 5.0: WI and BI in Improving Quality of Life

Professor Mufti Mahmud, King Fahd University of Petroleum and Minerals, Saudi Arabia

Invited Talk: 10:30-11:00 AM

Modeling Users' Curiosity in Recommender Systems

Doctor Xi (Sunshine) Niu, University of North Carolina at Charlotte, USA

Paper Presentation: 11:00-11:15 AM

Spatiotemporal Feature Extraction of Dynamic Brain Networks and Its Application in EEG-Based Emotion Recognition

Jiangyu Han, Qiangjian Zhong, Ruiting Lin, Pengcheng Zhu, Peiyang Li, Chongqing University of Posts and Telecommunication, China

Nan Qiu, University of Electronic Science and Technology of China, China

Paper Presentation: 11:15-11:30 AM

Water Level Prediction at Cascade Pump Stations Based on Multi-Scale Augmented Temporal Decomposition Network

Xumeng Shen, Yongchuan Yu, JianZhuo Yan, Chunyi Hou, Beijing University of Technology, China

Siyao Zhang, Dongbei University of Finance and Economics, China

Paper Presentation: 11:30-11:45 AM

Automated Line Chart Information Extraction for Accelerated Data Analysis in Chemical Science Using Neural Networks and Hough Transform

Hairong Yan, Shaohan Yang, Shaorui Sun, Beijing University of Technology, China

Paper Presentation: 11:45-12:00 AM

TSAC-DRM: A Drug Recommendation Model Based on Two-Stage Attention Mechanism and Constraint Learning

Shaofu Lin, Ziqian Qiao, Jianhui Chen, Beijing University of Technology, China

Workshop Schedule in conjunction with Brain Informatics 2024

December 14, 2024 (UTC-7)/ Bangkok, Thailand

Invited Talk: 2:00-2:30 PM

Development of Foundational AI Models for Brain Source Imaging with Applications to Epileptogenic Zone Detection

Doctor Feng Liu, Stevens Institute of Technology, USA

Invited Talk: 2:30-3:00 PM

Bridging Web Intelligence and Brain Informatics: Trustworthy AI for Cognitive Health Monitoring

Doctor Angela Lombardi, Polytechnic University of Bari, Italy

Invited Talk: 3:00-3:30 PM

Never-Ending Learning for Systematic Understanding of High-Order Cognition

Doctor Hongzhi Kuai, Maebashi Institute of Technology, Japan

Paper Presentation: 3:30-3:45 PM

Dual-Structural Representation Learning with Attention-Based Graph Fusion for Hierarchical MCI-AD Diagnosis

Yu Cao, Beijing University of Technology, China

Hongzhi Kuai, Ning Zhong, Maebashi Institute of Technology, Japan

Bixin Wang, Fengmei Fan, Beijing Huilongguan Hospital, China

Guanqiao Peng, University of Illinois Urbana-Champaign, USA

Paper Presentation: 3:45-4:00 PM

An Auxiliary Diagnosis Method for Mild Cognitive Impairment Based on Structural Magnetic Resonance Image

Haiming Li, Linjin Wang, Jiangtao He, Xinwei Li, Chongqing University of Posts and Telecommunication, China

Paper Presentation: 4:15-4:30 PM

Differences in the Local Morphology of Bilateral Functional Brain Networks During the Visual Word Recognition Task

Xiaofei Zhang, Jiangsu University of Science and Technology, China

Lianfang Ma, Jianhui Chen, Beijing University of Technology, China

Paper Presentation: 4:15-4:30 PM

A Multi-Loop Approach Reveals Differences Neural Mechanisms of Inductive Reasoning in DLPFC and SPL

Lianfang Ma, Shiyun Chen, Jiajin Huang, Jianhui Chen, Beijing University of Technology, China

Zhijiang Wang, Peking University Institute of Mental Health (Sixth Hospital), China

Paper Presentation: 4:30-4:45 PM

Adaptive Connectivity-Driven Parallel Graph Convolution Transformer Network for EEG Emotion Recognition

Qiang Li, Haiyan Zhou, Beijing University of Technology, China