The Fourth International Workshop on Human Brain and Artificial Intelligence (HBAI 2024)
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:
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
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
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
Program for HBAI 2024:
At the 2024 HBAI workshop, we will be selecting and awarding the Best Poster and Best Paper. For the Best Poster, participants are requested to print and bring their posters, preferably in A0 size (841 x 1189 mm). For the Best Paper presentation, please prepare a 10-minute presentation and bring your PPT to the conference. Below are links to download templates for both the poster and the presentation for your reference. ( ppt template download and poster template download)
Session | August 3, 2024(KST, UTC +9) | Topic |
---|---|---|
Opening Remarks | 8:50 - 9:00 | |
Oral Presentation | 9:00 - 9:10 | Difference of brain visual cortex and CNN under continuous object property space |
9:10 - 9:20 | Understanding human concept representation by generating visual stimuli | |
9:20 - 9:30 | A Brain-Inspired Distributed Long-Term Memory Guided Online Continual Learning Method | |
9:30 - 9:40 | Parameter-Efficient Fine-Tuning of ChatGLM to Mitigate Hallucinations in Chinese Abstractive Summarization | |
9:40 - 9:50 | Memory Sequence Length of Data Sampling Impacts the Adaptation of Meta-Reinforcement Learning Agents | |
9:50 - 10:00 | SVFormer: A Direct Training Spiking Transformer for Efficient Video Action Recognition | |
10:00 - 10:10 | BL-BERT: Extracting Body Language from Behavior Sequences in Freely Moving Mice | |
10:10 - 10:20 | Uncovering cognitive taskonomy through transfer learning in masked autoencoder-based fMRI reconstruction | |
10:20 - 10:30 | Group-specific fusion model and its application in identifying multimodal co-varying diagnostic patterns for psychiatric disorders | |
10:30 - 10:40 | Consistent Brain Age Difference in Childhood Autism Spectrum Disorder and its Subtypes | |
Break & Poster Presentation | 10:40 - 11:00 | |
Oral Presentation | 11:00 - 11:10 | Brain-Aware Readout Layers in GNNs: Advancing Alzheimer's early Detection and Neuroimaging |
11:10 - 11:20 | The co-varying multimodal pattern in treatment-resistant and non-treatment-resistant schizophrenia | |
11:20 - 11:30 | Suppressing seizure via optimal electrical stimulation to the hub of epileptic brain network | |
11:30 - 11:40 | TSICNet: Importance of ConnectomeInformation for Epilepsy Classification | |
Panel Discussion | 11:40 - 12:30 | Panelist: Wenliang (Kevin) Li, Yu Qi, Haiyan Wu, Youzhi Qu | Lunch Break | 12:30 - 14:00 |
Oral Presentation | 14:00 - 14:10 | Effect of Music Training in Neural Responses to Emotional Speech Prosody: Insights from EEG and Brain Network Analysis |
14:10 - 14:20 | Exploring EEG-Based Neural Correlates of Multivariate Ordinal Emotion Representations | |
14:20 - 14:30 | Enhanced Local Attention with Deep Neural Networks for EEG Decoding | |
14:30 - 14:40 | Mirror contrastive loss based sliding window transformer for subject-independent motor imagery based EEG signal recognition | |
14:40 - 14:50 | Benchmarking Neural Decoding Backbones towards Enhanced On-edge iBCI Applications | |
14:50 - 15:00 | Active Urinary Detection using EEG Based on FBCNet | |
15:00 - 15:10 | D2CAN: Domain-guided contrastive adversarial network for EEG-based cross-subject cognitive workload decoding | |
15:10 - 15:20 | How Do Transformers Integrate Meanings? An Investigation Using Interpretable Brain-Based Componential Semantics in Two-Word Phrases | |
15:20 - 15:30 | Assessing the feasibility of using AI models to simplify brain imaging reports for patients: a comparative analysis of four large language models | |
Break & Poster Presentation | 15:30 - 16:00 | Talk | 16:00 - 16:10 | How to publish with Springer Nature (Assistant Publisher at Springer Nature Group: Xin Guo) |
Oral Presentation | 16:10 - 16:20 | Multi-category Brain Tumor Segmentation via Multi-scale and Cross-category Relation Modeling |
16:20 - 16:30 | Investigating the Dynamics of Seizure Neuroactivities Using Hidden Markov Model | |
16:30 - 16:40 | Interpersonal Relationship Analysis with Dyadic EEG Signals via Learning Spatial-Temporal Patterns | |
16:40 - 16:50 | Potential Indicator for Continuous Emotion Arousal by Dynamic Neural Synchrony | |
Closing Remarks | 16:50 - 17:00 | Best Paper Award & Best Poster Award |
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
Important Dates
Submission Deadline: May 14, 2024 May 20, 2024
Author Notification: June 4, 2024
Camera Ready Deadline: June 11, 2024
Workshop: August 3, 2024
All deadlines are set to 11:59 PM Korean Standard Time (KST), UTC +9.
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
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 | 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 |