Call for Papers

The Fourth International Workshop on Human Brain and Artificial Intelligence (HBAI 2024)

Held in Conjunction With IJCAI 2024

August 3 to 9, 2024 - Jeju, South Korea

Welcome to HBAI 2024, joint workshop of the 33rd International Joint Conference on Artificial Intelligence, which is planned to be held in Jeju Island, South Korea, from August 3rd to August 9th, 2024. (IJCAI 2024)! The quest for brain research is to uncover the nature of brain cognition, consciousness, and intelligence. Simultaneously, Artificial Intelligence (AI) strives to craft intelligence within machines. The development of these two fields is undergoing a continuous trend of crossvergence and convergence. To bring together active researchers and practitioners in the frontiers of Artificial Intelligence and Human Brain Research for the presentation of original research results and to provide an opportunity for the exchange and dissemination of innovative research ideas relevant to both fields, we propose this workshop, called Human Brain and Artificial Intelligence (HBAI). HBAI will contribute to answering the following two questions: How can AI techniques help to human brain research (AI- inspired/powered brain research)? And, how can human brain research inspire the study of AI (brain-inspired computing)? The discussion on the workshop will clearly be greatly helpful to the brain and cognitive science, neural computation and artificial general intelligence, brain-machine interface, data science, and their applications.

Aims and Scope

The advent of cutting-edge technologies for recording brain has catalyzed the creation of extensive data sets, known as "big data." In this landscape, AI has become indispensable for the analysis of sequences, structures, and functional patterns found in human brain data. Such advancements in AI equip us with potent tools and models essential for unraveling the complexities of the brain, significantly enhancing our understanding of human cognition and brain disorders. AI not only facilitates the exploration and understanding of the brain's mechanisms but also, conversely, insights derived from brain research can propel brain-inspired AI studies, offering unique avenues for the development of innovative AI methodologies. This workshop aims to unveil the latest discoveries at the nexus of human brain research and AI, highlighting the synergetic potential that bridges these two domains.

Workshop topics

We encourage papers with important new insights and experiences on artificial intelligence from the modeling and simulation of human brain systems. Those contributions should shed light on one of the two questions mentioned above. Topics of interest lie at the intersection of AI and computational brain science. They include, but are not limited to, the following inter-linked topics:


AI for brain science:

  • Brain network modeling

  • Neural decoding and encoding

  • Brain function analysis

  • Neuroinformatics

  • Brain structures

  • Cognitive functions

  • Brain activity and behavior

  • Genetic and circuit mechanisms

  • Neuropharmacology

  • Neural biomarker identification

  • Disease prediction and diagnosis

  • Brain development and aging

  • Cross-species brain analysis

AI for brain technology:

  • Brain-computer interface

  • Brain image processing

  • Neural signal processing

  • Brain stimulation

  • Cognitive rehabilitation

  • Task related data analysis

  • Brain imaging genomics

  • Neurosurgery

  • Neuroprosthetics

  • Neurotechnology

  • Diagnosis of brain disorders

Brain-inspired AI:

  • Neuromorphic engineering

  • Spiking neural networks

  • Emotional AI

  • Embodied AI

  • Biologically plausible models

  • Sensory integration and processing

  • Memory systems

  • Synaptic plasticity

  • Learning algorithms

  • Neural architecture optimization

  • Energy-efficient computing

Important Dates

Submission Deadline: May 14, 2024
Author Notification: June 4, 2024
Camera Ready Deadline: June 11, 2024
Workshop: August 3, 2024
All deadlines are Korean Standard Time (KST), UTC +9, South Korea.

Paper Submission

HBAI will not accept any paper that, at the time of submission, is under review for, has already been published in, or has already been accepted for publication in, a journal or another venue with formally published proceedings.

At least one author of each accepted paper is required to participate and present the work. We are looking forward to the community meeting in person.

All new papers will be peer-reviewed in a double-blind manner.

All papers for the review should be submitted through the Conference Management Toolkit (CMT): https://cmt3.research.microsoft.com/HBAI2024.

Formatting guidelines:
(Formatting guidelines: LaTeX styles and Word template: download)
Full paper: around 12 pages (accepted as oral presentation and published in conference proceedings, indexed by EI)
Abstract: around 2 pages (accepted as poster presentation)

Contact:
Quanying Liu: liuqy@sustech.edu.cn

Organizing Committee

Quanying Liu Southern University of Science and Technology liuqy@sustech.edu.cn
Haiyan Wu University of Macau haiyanwu@um.edu.mo
An Zeng Guangdong University of Technology zengan@gdut.edu.cn
Dan Pan Guangdong Polytechnic Normal University pandan@gpnu.edu.cn
Yu Qi Zhejiang University qiyu@zju.edu.cn
Youzhi Qu Southern University of Science and Technology quyz@mail.sustech.edu.cn

Program Committee

(Including full names and affiliations, in alphabetical order by the member's first name)

Amy Wenxuan Ding EMLYON Business School, France
An Zeng Guangdong University of Technology, P. R. China
Aniruddha Sinha Indian Institute of Technology Bombay, India
Benjamin Becker University of Electronic Science and Technology of China, P. R. China
Bin Hu Beijing Institute of Technology, P. R. China
Bo Hong Tsinghua University, P. R. China
Camillo Porcaro University of Padova, Italy
Changsong Zhou Hong Kong Baptist University, P. R. China
Dan Pan Guangdong Polytechnic Normal University, P. R. China
Dante Mantini KU Leuven, Belgium
Daqing Guo University of Electronic Science and Technology of China, P. R. China
Dezhong Yao University of Electronic Science and Technology of China, P. R. China
Dong Ming Tianjin University, P. R. China
Gang Pan Zhejiang University, P. R. China
Haiyan Wu University of Macau, P. R. China
Huiguang He Chinese Academy of Science, P. R. China
Jia Liu Tsinghua University, P. R. China
Jian Liu University of Birmingham, UK
Juyang Weng Michigan State University, U.S.A
Kai Du Peking University, P. R. China
Nicole Wenderoth ETH Zurich, Switzerland
Quanying Liu Southern University of Science and Technology, P. R. China
Qunxi Dong Beijing Institute of Technology, P. R. China
Si Wu Peking University, P. R. China
Tianzi Jiang Chinese Academy of Science, P. R. China
Wanzeng Kong Hangzhou Dianzi University, P. R. China
Xiaolin Hu Tsinghua University, P. R. China
Xiaowei Song Simon Fraser University, Canada
Xiaowei Xu Guangdong Provincial People's Hospital, P. R. China
Yalin Wang Arizona State University, U.S.A
Yang Zhan Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, P. R. China
Yina Wei Zhejiang Lab, P. R. China
Yiwen Wang Hong Kong University of Science and Technology, P. R. China
Yiyu Shi University of Norte Dame, U.S.A
Yong He Beijing Normal University, P. R. China
Youzhi Qu Southern University of Science and Technology, P. R. China
Yu Hu Hong Kong University of Science and Technology, P. R. China
Yu Qi Zhejiang University, P. R. China
Yuanyuan Mi Tsinghua University, P. R. China
Yueming Wang Zhejiang University, P. R. China
Zhiguo Zhang Harbin Institute of Technology, P. R. China
Zhuliang Yu South China University of Technology, P. R. China

Program for HBAI 2024:

The Fourth International Workshop on Human Brain and Artificial Intelligence

Held in Conjunction With IJCAI 2024

Host: Quanying Liu,Haiyan Wu,An Zeng,Dan Pan,Yu Qi,Youzhi Qu