HBAI 2024: Joint Workshop on Human Brain and Artificial Intelligence

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

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: no less than 12 pages, excluding references (accepted as oral presentation and published in conference proceedings, indexed by EI)
Abstract: 1—2 pages (accepted as poster presentation, abstract template: download)

Contact:
Quanying Liu: liuqy@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	The University of Hongkong, 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

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