31st International Conference on Neural Information Processing

About ICONIP 2024 abstract

ICONIP 2024 brings together a global audience of researchers, academics, and industry experts across diverse disciplines. The conference aims to address real-world challenges through collaborative efforts, contributing to societal betterment.

Current Issue

Vol. 1 (2024): 31th International Conference on Neural Information Processing (ICONIP) abstracts

Published: 2025-03-18

Track 1: Theory and Algorithms

Binary Classification for Enhancing Explainability of Combined Black-Box and White-Box Models

Shintaro Tanaka; Hitoshi Iima
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A Synaptically Local Spike-Rate-Dependent Plasticity toward Neuromorphic Computing

Narumitsu Ikeda
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Distributed Multi-Agent Lifelong Learning

Prithviraj Tarale; Edward Rietman, Hava Siegelmann
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BG-Planner: A Planning-Based Decision-Making Model for Playing Board Game

Jiajing Zhang, Jiamei Jiang; Linjing Li; Daniel Zeng
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The Bidirectional Awareness Induction in Autoregressive Sequence-To-Sequence Models

Jia Cheng Hu
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Doc2Event: Extracting Chinese Document-Level Events into Generation Models

Guangshuai Ding; Xiongtao Zhang, Bin Lin; Xiaomin Zhu; Li Ma, Ji Wang, Xiaoguang Ren
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Emotion Analysis using Spiking Neural Networks

Kirushnaamoni Ramakrishnan; Raymond Lutu
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Track 2: Cognitive Neurosciences

CReTooL: Enhancing Complex Reasoning through Diversified Tool Learning

Yuchen Pan; Xichuan Zhang, Haiyang Wang, Haoyu Zhang, Zhiyuan Wang
WSSGCN: Wide Sub-stage Graph Convolutional Networks

Chao Wang; Zheng Tang, Hailu Xu
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Visual-Auditory Multimodal Decoding from Multi-Channel Human Intracranial EEG

Baowen Cheng, Ke Chen, Haoyu Hua, Zehan Wu, Zhuofan Zhao, Liang Chen, Ying Mao; Meng Li
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The Effect of Prior Programming Knowledge on Memory Efficiency When Learning a New Language

Mojgan Hafezi Fard; Krassie Petrova, Nikola Kasabov, Grace Wang
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Analysis of the Mechanism for a Deep Convolutional Neural Network Model to Predict Attentional Selection Using Adversarial Noise

Kiho Negishi, Akinori Hidaka, Nobuhiko Wagatsuma
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Auditory Attention Decoding when switching attention to abrupt sound

Futa Suzuki, Isao Nambu
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Track 3: Human Centred Computing

How does a GPT perform in Forecasting Severe Respiratory Disease Hospitalizations?

Steffen Albrecht; Alex Kim, João Afonso Madelino, Katharina Dost, Johnny Zhu, David Broderick, Nooriyan Poonawala-Lohani, Sarah Jamison, Damayanthi Rasanathan, Alicia Stanley, Shirley Lawrence, Samantha Marsh, Lorraine Castelino, Adrian Trenholme, Nikki Turner, Peter McIntyre, Janine Paynter, Patricia Riddle, Cameron Grant, Jörg Simon Wicker; Gillian Dobbie
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Attention-Based Multimodal Fusion Model For Breast Cancer Diagnostics

Anni Zheng, Wei Qi Yan
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Enhancing Gait Trajectory Prediction through an Adaptive Template Selection Mechanism Adaptive Template Switching for Efficient Gait Prediction

Yifei Yang, Xing Liu, Yuan Chen, Jingshu Shi, Yifan Liu, Yuxin Jin; Xingjun Wang
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Leveraging User Activity Insights to Enhance Notifications Overload in a Knowledge-Sharing Platform

Moe Thu Zar; Mahsa Mohaghegh
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Software Modules Clustering Using Social Network Algorithms

Nida Shahab, Naveed Ahmad, Maryam Doborjeh
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Track 4: Applications

Classifying IoT Malware with Limited Data: A Few-Shot Learning Framework

Man-Ying Chen; Tao Ban; Shin-Ming Cheng, Takeshi Takahashi
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Dynamic Preference Multi-Objective Reinforcement Learning for Internet Network Management

DongNyeong Heo; Daniela Noemi Rim; Heeyoul Choi
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The Potential of Spiking Neural Networks in Predicting Earthquakes in New Zealand

Zhaoxin Wang, Maryam Doborjeh; Nikola Kasabov
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SHAP-based Ensemble Learning for Assessing Key Factors Influencing Intention to Use Intercity Railway Service

Chamroeun Se, Thanapong Champahom, Sajjakaj Jomnonkwao; Vatanavongs Ratanavaraha
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Modeling and Predicting Petroleum Wastewater Treatment Outcomes with Neural Networks

Atefeh Enayatollahi
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Implicit Alignment and Long Temporal Context Memory Propagation-Based Video Compression Framework

Zijian Lin; Jianping Luo
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Voxel-wise Attention Fusion: A Novel Methodology for 3D Occupancy Networks in Autonomous Driving

Hejiu Lu; Sang Hun Lee
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Data obfuscation using a two-layered, controlled approach

Labani Halder, Payel Sadhukhan, Sarbani Palit
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Integrating Multi-Temporal Feature Ranking with Forecasting Models for Enhanced Stock Price Prediction

Zhenhao Li; Hefei Wang
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AI-Assisted Infrastructure Monitoring: Supplementing Human Inspections on Auckland Harbour Bridge

Munish Rathee; Boris Bacic
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A Comparative Study of Generative Language Models and Bias Evaluations

Vithya Yogarajan, Gillian Dobbie; Kejun Dai, Aaron Keesing
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Choose Your Prompt Carefully!

Vithya Yogarajan, Gillian Dobbie, David Trye, Aaron Keesing
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Self-Supervised Pretraining for Railway Sound Classification

Gabriel Schachinger, Matthias Blaickner; Georg Brandmayr
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